The Secret of Successful Projects

Since you are reading this, you may be hoping for a list of policies and procedures to make your projects run more smoothly. I’m sorry to report that it isn’t that easy. Agile techniques are not going to save you. New technologies aren’t in themselves a solution. Adding new, intelligent people will not help. Working your people to the bone won’t make your project successful.

The key to successful projects is to be a better person:

  • Care about others
  • Do your best
  • Be trustworthy

The importance of trust is explained in detail in Built on Trust (Arky Ciancutti and Thomas L. Steding): an organization with an atmosphere of trust is enormously more effective than one that lacks trust. The book stresses that a culture of trust cannot be bought. In an environment such as Silicon Valley, where ample venture capital tends to be available, trust can be the key differentiator that makes one organization stand out above the rest.

To establish trust, you must naturally be a person of your word, and you must work consistently to create an atmosphere that allows others to be straight with you without penalty.

Built on Trust describes a healthy and effective habit called closure, which means always giving others information that they can count on in order to prevent them from wasting spin cycles wondering about what is going on. One simple example of closure has to do with dates and deadlines: in an organization with a culture of closure, people will reflexively commit to dates and they’ll stand by them. Moreover, if circumstances change, they’ll notify their manager immediately the moment new information is known.

It isn’t easy to instill such a trust-centric culture; doing so may impact the entire organization as well as your specific project, and this may require buy-in at many levels.

One key step is to start telling the truth at every turn in order to establish a track record of trustworthiness. Merely pretending to tell the truth won’t work in the long run, because people are very perceptive and will eventually realize that you aren’t being straight. You create an atmosphere of mutual respect by proving that you stand behind the actions of your team and that you will go down with the ship if need be. You demonstrate that you will not sell people out for your own gains. This cannot be done with lip service.  

Once an atmosphere of trust and mutual respect is established, you can begin to instill a cultural norm of 100% closure. Within an atmosphere of trust, closure isn’t hard to sell, because it is just a form of respect: by giving people closure at every turn, you’re proving that you care about them and that you value their time.

In an atmosphere of 100% closure, drama and unnecessary spin cycles are dramatically reduced, allowing everyone to focus on their jobs. Such organizations will almost always defeat competitors that are plagued by infighting due to lack of trust.

Performance Characteristics of Modern JavaScript Systems

Consider a modern system based on React, Redux, Meteor and MongoDB. Such a system conforms to an architectural ideal that I call Absolute MVC, in which the user interface is updated exclusively in response to state changes (i.e., UI actions or back-end changes). Meteor Live Query is state-of-the-art with respect to detecting back-end changes and pushing them to the UI via Websockets, particularly when MongoDB oplog tailing is enabled. This allows the UI to be 100% event-driven.

In my own experience, modern system performance isn’t usually constrained by the server; in fact, this is one of the advantages of a JavaScript-based SaaS application: a remarkable amount of processing can be offloaded to the client. Consider that with a traditional web application based on LAMP, all HTML rendering is done on the server and that HTML result is sent to the client on a silver platter. Moving those rendering functions to the client dramatically reduces the load on the server, and that can consequently reduce hosting costs.

What are the performance considerations of a modern JavaScript system? It all boils down to one word: rendering. State changes trigger event listeners that must judiciously re-render parts of the UI.

In React/Redux/Meteor, a recurring concern is whether a given component should be sensitive or insensitive to state changes. By default, React components will re-render unconditionally in response to state changes, so one of the low-hanging optimizations is to hand-craft rules that can analyze state changes and prevent re-rendering unless absolutely necessary. These rules are expressed in React lifecycle method shouldComponentUpdate.

In short, performance optimization of modern JavaScript system is largely a matter of minimizing rendering and re-rendering.

Blaze to React

In early 2017, I decided to convert one of my client’s applications from Blaze to React. This is the story of that conversion effort. If you are a Meteor developer, this post will likely be interesting to you, particularly if you are considering moving to React. For ordinary folks, I’ve done my best to minimize technobabble.

As a byproduct of the conversion process, I created a reusable framework called VXFrame. I’m looking for opportunities to use VXFrame to develop new React systems or to expedite the migration of existing systems from Blaze to React.


If you have been following Meteor blogs, you are likely aware that React has factionalized the community. Rumblings about React began in 2015 as Sacha Greif, the author of Discover Meteor, published a series of articles that explain how to migrate a Meteor application from Blaze to React. Then, in November 2016, Meteor guru Arunoda Susiripala bid farewell to the Meteor community, moving on to work on Next.js, a minimalistic React framework.

These events piqued my interest, and I began to evaluate React in earnest. I decided to convert a production application named Incentive Sherpa from Blaze to React. I took this aggressive approach because I feel that no tutorial can give one the depth of experience that can be gained by committing to a real project and pushing it through to completion.

I had originally estimated that the project would require 60 days, but it ended up taking over 100 days. To put this in perspective, understand that Sherpa was a medium-sized, multi-tenant SaaS application based on Meteor 1.3. It incorporated a variety of third-party packages that are the hallmarks of a typical enterprise application. Sherpa used the so-called advanced Bootstrap implementation which facilitated control over appearance and layout via configuration variables.

Sherpa size metrics:

  • 13 major subsystems
  • 35 Blaze templates
  • 26 routes
  • 11 modals
  • 51 Meteor methods
  • 10 daemon processes

Although Sherpa was in good technical shape to serve as the baseline for the conversion effort, the system had a lot of redundancy, primarily due to evolution. Over time, new subsystems were tacked on by cloning existing subsystems and modifying them to meet requirements. Suffice it to say that the system could benefit from some refactoring.

My guiding philosophy for the conversion process:

  • DRY
  • Be systematic
  • Don’t introduce new bugs
  • Capture reusable logic, patterns and techniques

React Components in Blaze Layouts

You can embed React components into Blaze templates using package react-template-helper. My very first React component was created and tested using this approach. Theoretically, you could use react-template-helper to incrementally convert an entire application into components, starting with low-level Blaze templates and then building upwards to create higher and higher level components until all templates have been systematically replaced. This approach would make it possible to keep the system functional at all times, at the expense of some additional testing and the creation of some throw-away code.

Package react-template-helper is ideal for developers experimenting with React; however, I decided against using it because I was committed to a comprehensive conversion process that would ultimately eliminate Blaze.

Using BlazeLayout and ReactLayout Together

You can use BlazeLayout and ReactLayout together in the same application. Certain routes are rendered by Blaze while others are rendered by React.

I tried to use this approach but I encountered difficulties. Since Blaze and React render HTML into different root HTML elements, the system failed to clean up after route changes, causing defunct pages to linger in the DOM, screwing up the UI.

Although I was able to circumvent this problem by dynamically adding/removing CSS classes to control the visibility of pages generated, I considered this to be a hack, so I was hesitant about pushing a hybrid Blaze/React system into production and decided against it.

Wholesale Conversion

I began performing the conversion effort on an isolated GitHub branch. I was taking my time with no hard deadline, and had no requirement to keep the system working at all times. I decided to abandon the incremental approach and began converting entire subsystems all at once.

My First Subsystem: Events

I began my conversion effort with a small subsystem called Events, an administrative page that displays a list of event records:

I printed a screen shot of the Events page and used a pen to circle elements in order to plan my component hierarchy. I initially came up with this component outline:

Top bar
Burger button
System logo
System name
Subsystem status indicator (many)
Profile photo
Event selection criteria row
Event type selector
Rows selector
Date selector
Event display body
Event display row (many)
Event display cell (many)

I quickly realized that the Events subsystem would require more effort than I had anticipated. There would be extra work to create universal shared layout components, such as the top bar, plus the off-canvas navigation panel fly-out that appears when the user touches the burger button. I decided to work on these shared layout components first.

The need to support layouts led me to Arunoda’s React Mounter (NPM react-mounter), which is ideal for converting a typical Blaze application that uses layout templates. React Mounter allows you to mount a hierarchy of components by specifying a layout component plus a content component. React Mounter does everything necessary to mount the layout component as a container with the content component serving as the body.

I added react-mounter to my tech stack and began experimenting with it. The package worked beautifully, and I wholeheartedly recommend it for any application that uses reusable layouts.


From a developer’s perspective, a React-rendered browser page can be seen as a hierarchy of components. The entire browser page is typically represented by a top-level container component that includes many nested components; together, these components represent the page that the user sees.

A component is declared as a JavaScript class. Ideally, each component should be declared in its own JSX file to facilitate easy reuse.

Using JavaScript import statements, parent components can reference to child components, effectively declaring a hierarchy.

At run time, when the user chooses a route, FlowRouter will mount (i.e., instantiate) the top-level component of that route. After invoking several life-cycle methods, the React mounter will start a process that causes the components to build the HTML page.

Each component must have a render method, which is written by the developer. The render method must return either raw HTML, one or more child components, or a combination of the two.

When React renders a top-level component, it will indirectly render referenced subcomponents. React renders the hierarchy of components in a carefully choreographed dance, resulting in the HTML page that the user ultimately sees.

Components render HTML in accord with their properties which play the role of the model in the MVC design pattern. In a well-structured React application, the HTML rendered by a component is exclusively a function of the render method and the properties supplied to the component. Properties are the model, the component is the controller, and the rendered HTML is the view.

After the initial rendering, React keeps all component instances in memory. Those component instances play an ongoing role: any changes to properties will cause the component to dynamically re-render its respective HTML. This is how React facilitates reactive behavior which is familiar to Meteor developers.

React offers two ways to declare components: ES6 classes or functions. Moreover, rendering logic can be expressed as either JSX or straight JavaScript. I chose to use ES6 classes as JSX, which is currently the preferred way to use React.

Seasoned React developers segregate their components into two broad categories: higher-order components (HOCs) and components:

  • HOCs are container components that handle data fetching and subscriptions
  • Components render HTML in accord with properties

In a Meteor/React application, HOCs set up subscriptions and fetch data. A typical Meteor HOC will have only a single method withTracker that fetches data from various sources and uses it to build a properties object. The HOC supplies the properties object to a lower-level component (henceforth subcomponent).

It is best practice to have the HOC and its subcomponent share the same name, except the HOC name will have the suffix Container appended. Example:

  • EventsTableContainer – HOC that fetches data and supplies properties to EventsTable
  • EventsTable – subcomponent that receives properties from HOC EventsTableContainer

While an HOC is tightly coupled with one subcomponent, a given subcomponent may receive properties from many different HOCs. This ability to reuse a single component from different HOCs is an important technique for maximizing component reuse.

HOCs do the heavy lifting in a Meteor/React application. They can be somewhat difficult to code and test because they deal with database queries and because method withTracker is reactive. Updates to any database collections referenced within withTracker will cause withTracker to be automatically re-executed, causing the HOCs subcomponent to be re-rendered. This occurs because withTracker serves as both an imperative function and an event listener. This crazy behavior will be hauntingly familiar to seasoned Meteor developers, whom are nodding their heads in agreement as they read this. React improves on Blaze by encapsulating this tricky logic inside HOCs. This encapsulation makes it easier to pinpoint problems, ultimately reducing cost.

A well-written subcomponent will never directly invoke a MongoDB fetch operation, but will instead render HTML in accord with supplied properties. Subcomponent rendering logic should refer only to neutral component properties, which can be seen as the source of truth governing all rendering decisions.

Dividing responsibilities between HOCs and normal components is an excellent way to separate concerns. Many React developers enthusiastically support this approach, because it clearly separates the concern of data fetching from the concern of rendering. This approach also makes normal components easier to reuse.  As long as an HOC can be written to supply the expected properties, the normal component can function properly in any usage scenario.

Declaring HOCs

A Meteor/React application will consist of a mixture of HOCs and normal components. There are two approaches to using HOCs:

  1. Declare a single top-level HOC that fetches data, then passes that data as properties down through the hierarchy of subcomponents.
  2. Declare many narrowly-focused HOCs at various levels in the component hierarchy.

While there is no right or wrong answer, I personally tend to use many narrowly-focused HOCs. This minimizes property handling by keeping HOCs close to subcomponents that they feed.


You will need to decide on the proper granularity of your components. While there are no hard-and-fast rules, I’ve discovered a technique that you may find helpful.

If you notice repeating patterns of HTML in your render method, you can eliminate redundancy by breaking out the repeating HTML into a reusable component. If you DRY, you will create more components than you had expected. I had guessed that Sherpa would require a few dozen components, but by the time the conversion effort was completed, I had authored 64 HOCs and 168 normal components, a total of 232 components.

By the way, early in the project, I struggled with a kind of psychological aversion to creating new components. I was primarily concerned about performance. Yet, after some experimentation, I found my performance concerns were unfounded. I was seeing excellent performance, better than Blaze in most instances, even in subsystems with hundreds of components.

Once my concerns had been put to rest, I proceeded to create components with wild abandon. Now, I can create new components effortlessly, and surprisingly, those components will often work correctly the first time without debugging.

Naming Conventions

When you create a large number of components, standards and naming conventions become super important. Here are some standards that I choose to abide by:

  • One HOC or normal component per file
  • Component name makes sense and is self-documenting
  • Components are stored in different folders broken down by subsystem
  • Component name matches file name
  • HOCs always end with Container

In many cases, there will be a one-to-one correspondence between an HOC and its contained component. However, it will occasionally be advantageous to define multiple HOCs that wrap the same component. Consider this example:

HOC Wrapped Component
OffCanvasNavStandardContainer OffCanvasNav
OffCanvasNavDiagContainer OffCanvasNav

Both OffCanvasNavStandardContainer and OffCanvasNavDiagContainer serve as wrappers for OffCanvasNav. Each HOC may have completely different subscriptions and different rules for fetching data. This is absolutely fine, as long as both HOCs supply properties as necessary to meet the requirements of subcomponent OffCanvasNav.

Blaze Data Contexts Versus React Properties

Behind every Blaze template there exists a tree of objects called the data context. Under Blaze, the data context plays the role of model in the MVC design pattern.

Blaze provides the developer with several options for setting the data context of a Blaze template, but by far the most common approach is to allow Iron Router to provide it. For each route path, Iron Router fetches and returns a tree of objects which comprise the data context of that route. Instructions for retrieving data context objects must be expressed by the developer in the Iron Router data function, which is part of each route descriptor. Iron Router provides the data context to Blaze so that templates can refer to it during HTML rendering.

Meteor developers tend to complain about the way Iron Router deals with data contexts. Hard-core Meteor insiders characterize it as an anti-pattern, and they have devised clever ways to improve the situation. One solution is to remove Iron Router from the system, add FlowRouter, and then use template-level subscriptions. This approach is recommended by many Meteor gurus, and I agree with them wholeheartedly. But for clarity, I will compare the design of a typical, clunky Blaze application, in which Iron Router establishes data contexts, with a modern React application.

One problem with Blaze is that it treats the data context as the sole input into the template rendering process. There is no easy way to configure a template to appear or behave differently in different usage scenarios. For example, consider an ostensibly-reusable template that renders a user list into HTML. In some scenarios, the user list may need to be selectable, while in other scenarios, selection of the user list must be inhibited. In order for the user list template to be easily reusable, there should be a convenient way for the developer to configure the template to behave differently in different scenarios. Ideally such configuration settings would be supplied by the parent (i.e., calling) template.

Another problem with a typical Blaze application is that data contexts are monolithic; there is only a single tree of data for each route, and that tree must contain the union set of all data needed by all templates used within that route.

This monolithic data context makes it hard to write reusable templates. Clearly, templates must know the names of fields in the data context, but they must also be intimately aware of the structure of the data context in order to successfully navigate via Blaze functions such as Template.currentData and Template.parentData. These navigational functions are hard-coded into the supposedly-reusable template. Consequently, a reusable template becomes tightly coupled with a specific data context. Attempting to reuse that template elsewhere will require coding changes to replicate those portions of the data context required by the reusable template. The effort to keep data contexts in sync with ongoing enhancements to templates makes Blaze programming more tedious than need be.

React eliminates this problem by allowing each component to explicitly declare its information needs (i.e., properties), tantamount to a schema. At runtime, HOCs perform retrieval functions and then supply data as properties to lower-level components. If those properties fail to satisfy the declared requirements of lower-level component(s), the application will fail with a clear explanation logged to the developer console. Such problems can be fixed very quickly at low cost.

In contrast to a legacy Blaze application with monolithic data context, a React route can have many HOCs at different levels, tantamount to having many data contexts. This means React applications tend to have better encapsulation than Blaze applications. Better encapsulation makes it easier to develop reusable component that work predictably and reliably in different usage contexts, even if those components require complex configuration settings.

Of course, there is no free lunch, and React components take more time to develop than standard Blaze templates.

The bottom line is that Blaze allows developers to cut corners in a way that seems perfect for churning out proof-of-concept MVPs while React engenders industrial-strength discipline that screams this is enterprise software.


Near the end of the Sherpa conversion effort, I formally separated the reusable components and subsystems from their application-specific counterparts by splitting the code into two separate GitHub repositories:

  • Sherpa – application-specific components and code
  • VXFrame – reusable components and code

As the conversion effort entered its final phases, I started testing VXFrame independently of Sherpa to ensure that it would function properly as a stand-alone project. In this process, I ended up fixing many longstanding issues and improved code organization.

When the conversion effort was finally complete, VXFrame had many key features that you’ll find in a typical multi-tenant SaaS including:

  • Configurable appearance
  • Responsive and touch-friendly UI that works well on all devices
  • Curated third-party packages that work well together
  • Flexbox-based layout system
  • Reusable layouts including top bar and off-canvas navigation
  • Animations that leverage hardware-assisted 3D translations
  • Inventory of React-based input widgets
  • Data forms with two-way data binding to MongoDB
  • Rule-based validation and formatting (client-side and server-side)
  • Dynamic or traditional database updates
  • Declared database schema via Collection2
  • Security-conscious allow/deny rules
  • Parameterized event notifications via email (Mailgun) or SMS (Twilio)
  • Multi-tenant database design, partitioned into tenants and domains
  • User & Domains management subsystem
  • User Profile subsystem
  • Infrastructure for monitoring and managing status of external systems
  • Internationalization
  • Performance management
  • Secure architecture
  • Logging subsystem
  • Build and push scripts to facilitate frequent code changes
  • Scalable via Nginx clustering and MongoDB replication

In addition to reusable code, VXFrame provides examples, patterns and programming conventions that can make it easier to develop new application-specific subsystems.

Since React and Meteor are super-flexible, the onus is on the developer to decide how to implement required features and to select the best third-party packages. Ironically, this flexibility can make it difficult to choose the best path forward. For better or worse, VXFrame is opinionated, and it offers clear patterns for implementing new subsystems.

VXFrame can reduce costs by reducing third-party package research. It includes dozens of third-party packages that are proven to work well together. New application-specific subsystems can be created at low cost by cloning VXFrame subsystems, then modifying them to suit. Alternatively, in cases where a proposed subsystem bears no resemblance to any existing VXFrame subsystem, it is possible to add third-party packages and to code new subsystems from scratch, while still leveraging VXFrame services and patterns.

VXFrame is intentionally layered to allow developers to override default behaviors or subsystems with application-specific logic. If default behaviors are acceptable, the application-specific customization layer can be minimized.


VXFrame effectively reconciles Bootstrap LESS/CSS rules with a reusable React component architecture.

Many internet postings describe the component-centric advantages of React without taking any strong positions on styling and layout. Some React developers eschew CSS rules entirely, opting instead for programmatically-controlled styles embedded within the components. VXFrame fully embraces Bootstrap and avoids embedded styling.

Given the decision to use Bootstrap, it was necessary to devise standards and conventions to allow VXFrame components to work harmoniously with Bootstrap CSS classes. Each VXFrame component declares a set of standard CSS classes via React default properties. VXFrame components declare good defaults that facilitate typical layout behaviors and responsive design, so that in most cases the developer can ignore layout issues. When the developer needs finer-grained control, default CSS classes can be overridden via component properties.


VXFrame uses Flexbox (exclusively) for controlling component layout.  Flexbox is a relatively new W3C standard which is now supported by all major browsers.

Flexbox rules allow developers to declare divisions of HTML that are either fixed in size or that may grow to fill available space, automatically adjusting to any device. Flexbox rules are indispensable for creating single-page apps that behave like native apps.

VXFrame replaces quirky Bootstrap grid float CSS rules with functionally-equivalent Flexbox declarations. As a result, the system is able to render complex single-page layouts declaratively, minimizing browser-specific layout anomalies.


VXFrame includes several built-in layout components:

  • LayoutStandard – Standard layout including top bar and off-canvas navigation controls
  • LayoutDiag – Diagnostic layout for Events and System Log subsystems
  • LayoutNone – Null layout that can be used to create free-form pages from scratch

Most VXFrame subsystems use LayoutStandard, which includes a top bar and off-canvas navigation that appears when the user presses the “burger” button. The off-canvas navigation fly-out uses hardware-accelerated 3D translations for smooth performance on any client, including older phones and tablets.

Many applications can be developed using built-in layouts. Additional layout components can be added if necessary.


LayoutStandard is a generalized container that houses a developer-supplied subcomponent, henceforth referred to as the content. This layout encapsulates the content inside a transition group to permit changes in content to be animated. VXFrame built-in animations include cross-fades, and left-to-right or right-to-left slides which are particularly important on hand-held devices.


VXFrame includes comprehensive support for forms, making it easy to develop subsystems that gather information from users and store it in the database.

VXForm is component that can contain any number of input controls such as:

  • VXButton – Button control with optional loading spinner
  • VXCell – Content-editable input cell used for tabular data
  • VXCheck – Checkbox control
  • VXDate – Bootstrap-styled date picker
  • VXFieldBox – Read-only box for displaying a field of data
  • VXFieldSet – Group box or field set
  • VXImage – Image picker for photos or icons
  • VXInput – Standard input
  • VXModal – Modal dialog
  • VXMultiSelect – Control for selecting one or many values with checkboxes
  • VXSelect – Standard select for drop-downs or combo boxes
  • VXSpin – Touch-friendly spinner to select numeric values
  • VXSwitch – Bootstrap-styled switch
  • VXTabFolder – Container of Bootstrap user-selectable tabs
  • VXTab – Single tab contained within VXTabFolder
  • VXTextArea – Text Area control

VXForm provides many features that are typical of web forms:

  • Validation rules for input controls (both client and server)
  • Integration with Bootstrap error handling CSS classes
  • Required fields support
  • Localized popovers that explain simple validation issues
  • Push notifications to explain complex validation issues or to show deferred results
  • Field formatting rules
  • Data binding to MongoDB (both dynamic and traditional save/cancel updates)
  • Custom fetch and update handlers
  • Custom event handlers
  • Field labels, tooltips and placeholders

VXForm and its nested input components declare properties to control the validation and update process.

VXForm specifies global settings such as:

  • MongoDB collection to be updated
  • MongoDB ID of the record to be updated
  • Dynamic (true/false) which control when database updates will occur

Nested input components specify additional properties that vary based on component type; for example, a VXInput control declares additional settings such as:

  • MongoDB field name to be updated
  • Field label and optional tooltip and placeholder
  • Validation and formatting rules
  • Custom fetch and update handlers
  • Binding type (i.e., data type)

The VXFrame validation subsystem is event-driven so processing occurs whenever the user changes the value of an input component. Formatting and validation occurs immediately, while update processing can occur in two ways:

  • Traditional – Database is updated when the user presses a designated button (e.g., Save)
  • Dynamic – Database is updated immediately whenever an input control value changes

Traditional validation permits the emulation of legacy-style web forms, where information is gathered and then sent to the server when a button is pressed. In this mode, the user is typically offered two buttons at the bottom of the form: Save and Cancel. Save will cause the system to update the database, while Cancel will restore the form to its original state, abandoning any in-progress inputs.

Dynamic validation causes the system to immediately store information into the database whenever the user changes the value of an input control. This mode is ideal for collaborative applications where data needs to be dynamically shared between users.

Component State

VXFrame input components automatically manage their own states, so there is no need to elevate state to higher level components. Each component maintains its internal value (i.e., state) as an appropriate JavaScript type which varies depending on the type of control. For example, VXDate components maintain the selected date as JavaScript type Date.

When a component is mounted, the component state value is rendered according to formatting rules.  For example, a telephone number field may be stored internally as a string of digits, yet rendered using a mask consisting of parenthesis surrounding the area code and a dash between the prefix and suffix. When data is entered by the user, mask characters are automatically stripped from the input as specified in the formatting rules.

In order to function properly within the VXForm container, each input component implements a variety of standardized methods including:

  • setValue sets the internal value of the component
  • getValue returns the internal value of the component
  • reset resets the component to its original state (captured when the component is mounted)

VXFrame components automatically register themselves within their VXForm container when they are mounted. This registration process allows VXFrame to:

  • Automatically determine whether all required fields have been completed
  • Display validation errors and warnings using popovers and push notifications

VXFrame allows multiple forms to peacefully coexist on a page when necessary.


VXModal components are wrappers for Bootstrap modals.

Traditionally, Bootstrap modals have been pre-rendered into invisible HTML that lingers in the web page document body. When the application needs to display the modal, it invokes a Bootstrap function which makes the HTML visible, while simultaneously triggering the “show” animation to bring the modal into view. When the user completes the modal, the system triggers the “hide” animation and makes the HTML invisible. In contrast, VXModal HTML is dynamically created and destroyed as needed. This approach is far superior and makes it much easier to code and manage modals, reducing cost.

A VXModal component typically contains a VXForm subcomponent, allowing the modal to automatically handle input validation and required fields processing.

VXFrame comes with three standard modal footer components:

  • ModalFooterSimple – single button with user-defined word to dismiss the modal (e.g., OK).
  • ModalFooterYesNo – Yes and No buttons with Yes button tied to event listener and No dismissing the modal.
  • ModalFooterConfirm – Confirm and Cancel buttons for important decisions, such as starting a background process or retiring a record.

Developers can easily create additional custom modal footer components if necessary.

Off-Canvas Navigation

VXFrame comes with an off-canvas navigation bar which is normally hidden from view, but will fly in from the left side of the screen when the user touches or clicks the “burger” button on the top bar:

VXFrame uses off-canvas navigation instead of the standard Bootstrap menu bar, primarily to conserve screen real estate.

Entity Lists

Modern applications display lists of data which can be touched, clicked, dragged and dropped. Each item in the list typically has an icon or picture on the left side, with explanatory lines of text on the right side. Example:

In VXFrame, entity lists are represented by component EntityList. An EntityList component can any number EntityItem components, each of which contains:

  • An image
  • A heading (shown larger)
  • Up to two optional subheadings
  • Optional chevrons for slide panels
  • Optional image decoration

Developers can “wrap” EntityList components to create specialize, reusable lists, effectively inheriting EntityList functions and behaviors. For example, the list of users shown above is represented by UserEntityList, a specialized EntityList component.

EntityList and EntityItem components are highly parameterized, allowing wrapper components to specify basic appearance, images, titles, decorations and tooltips. A variety of event handlers can be registered with EntityList and EntityItem to handle gestures such as selection and drag/drop processing.

Entity Panels

Entity panels are used to display and potentially edit information. Typically, an entity panel will display the information contained in a single database record, but it may also combine information from several related records. Example:

VXFrame allows you to develop entity panels by combining reusable subcomponents. For example, the entity panel shown above is represented by component UserDomainViewRight, which is comprised of the following subcomponents:

  • RightPanel – Outer component which dynamically fills available screen space. By default the panel appears “raised” because of drop shadow drawn around the perimeter.
  • RightHeader – A collapsible header which has a large image, a heading and up to two subheadings. Typically, RightHeader will contain a VXForm that contains fields of information of an entity.
  • EntityListHeader – A thin title that is a heading for an entity list within the panel. In the example the thin rectangle bearing the word Domains is declared as an EntityListHeader component.
  • DomainEntityList – The list of domains is a standard EntityList driven by the list of domains to which the user belongs. The DomainEntityList will automatically fill available space and will be scrollable by default.

Entity panels allow the developer to quickly snap together reusable subcomponents like Lego blocks to form panels which can be used for display or edit purposes.

Slide Pairs

Modern web applications use sliding animations, typically triggered by user gestures, such as swiping left or right. VXFrame makes it easy to develop subsystems that boast smooth, hardware-assisted sliding animations.

Three VXFrame components work together to deliver sliding behaviors:

  • SlidePairContainer
  • SlidePair
  • SlidePanel

These components have been carefully designed to work together seamlessly to deliver an optimal experience on any desktop system or hand-held device.

On desktop systems, these three components create a side-by-side display, where the left-hand side presents a list of entities, and the right hand side presents the details of the currently-selected entity:

The utility of SlidePair is evident on a smaller screen such as a phone; in this case, SlidePair will display only the left-side panel:

When the user touches any of the users in the list, the SlidePair will trigger a right-to-left slide animation to bring the user detail panel into view:

The user can then perform various functions on the detail panel, such as editing, cloning or deleting the user record.

If the user presses the back button (< Users), SlidePair will trigger a left-to-right animation to return to the user list panel. SlidePair maintains a return stack so that sliding behaviors can be nested to any number of levels.

To use SlidePair, the developer must create left-side and right-side components.  SlidePair subcomponents follow well-defined patterns, invoking pre-written methods in key event listeners. Typical animation behaviors can be achieved without custom programming.

SlidePair alleviates much of the drudgery normally needed to implement responsive applications. Developers are free to develop and refine their left-side and right-side components without having to deal directly with complex animation mechanics.

Core Subsystems

VXFrame comes with core subsystems that are essential for most multi-tenant SaaS applications. Subsystems may be used as-is or extended as needed.

Subsystem Description
Signin Provides a sign-in landing page bearing system logo and name, plus entry fields for username and password. Provides hyperlink to recover lost passwords.
Profile Allows users to update their user profiles, including basic profile data, locale, language preference, timezone, name/address, phone numbers, photo image upload, password reset functions, notification settings, preferences and scheduled reports.
Tenants Allows users to edit basic tenant-level information, such as an icon that represents the tenant. Also allows general users to navigate to their tenants and domains and to select a domain to Make Current (i.e., switch into domain).
Users & Domains Manages users and domains, including functions for creating new users, creating new domains and managing the relationships between users and domains via drag/drop. Includes multi-tenant security model that permits users to have different privileges (roles) with respect to different domains. Includes administrative functions for enrolling new users and resetting passwords.
System Settings Administrative subsystem available to authorized users that permits updates to system, tenant and domain settings, including credentials for external systems such as Mailgun and Twilio.
Templates Generalized subsystem for creating, updating and retiring email templates, and components for setting emails to users, including mail-merge-style functions for performing variable substitutions. System includes support for sending HTML emails using templates.
Events Generalized subsystem for displaying system events, typically available to super administrators only.
System Log Generalized subsystem that consolidates client-side and server-side messages into a single display of rolling messages, typically available to super administrators only.


Does React make sense from a strictly cost/benefits perspective? The short answer is “it depends” so let’s take it one case at a time.

When developing a new multi-tenant SaaS application from scratch, I’m sold on the cost effectiveness of React, both for up-front development and ongoing maintenance. The only drawback is the steep learning curve, but this can be mitigated by leveraging a reusable framework.

When developing from scratch without a reusable framework, React makes sense for larger systems that are subject to frequent coding changes by a team of developers, particularly mission-critical systems where UI bugs have severe consequences. In such cases, React coding is economically feasible, because the up-front costs to create reusable components can be offset by lower maintenance costs in the future.

When converting an existing system from Blaze to React, if your goal is to completely componentize the front end, you will likely reduce cost by leveraging a reusable framework. Instead of reinventing the wheel, you can can give your application a front-end makeover while preserving your back-end business logic.

Please be aware that adding React to your technology stack will be only the first step in a long process. React “conversion” can mean practically anything, from cursory experimentation with a few reusable components to a total replacement of the UI, culminating with the removal of Blaze from the system.

One way to measure the success of a Blaze-to-React conversion effort is to quantify the percentage of the document object model (DOM) that is controlled by React after conversion. In an ideal React application, the DOM will be completely controlled by React, and jQuery direct modifications of the DOM are considered an anti-pattern. React’s purpose is to facilitate a simplified, component-based programming experience that insulates the developer from the complexities of HTML, the DOM and jQuery. Code that bypasses the React component abstraction goes against this ideal and may increase maintenance costs and the probability of defects.  However, even in an ideal project, parts of an application may never be componentized, particularly third-party packages that are not yet React-ready. Attempting to achieve 100% componentization can be costly and will usually reach a point of diminishing returns.

Note that component granularity alone is no panacea. A developer in a rush to finish converting a subsystem might create myriad granular components that have no chance of being reused. Creating truly reusable components requires more effort and than narrowly satisfying the immediate requirements at hand.

One helpful technique to engender reuse is to routinely test components outside of the system for which they were originally developed. This extra testing increases cost but ensures that the components are truly reusable.

Perhaps the most important key to a successful Blaze-to-React conversion is to accept that the process will require more time and effort than one would hope. You should strive to:

  • Convert the existing application from Blaze to React in a non-disruptive way
  • Capture a set of reusable components that can reduce costs of future efforts

The secondary goal of capturing reusable components can help justify conversion costs, because those components will reduce the costs of future projects.

JavaScript Functions That Run Beautifully on Client and Server

One of the compelling benefits of Meteor/Node.js is that a single language, JavaScript, can be used on client and server.  Meteor developers use the word isomorphic to describe JavaScript code that has been written to run anywhere.  To make that possible, your JavaScript functions must adhere to certain coding conventions.

After some experimentation and false starts, we have devised helpful programming standards that foster isomorphic code.  I will share these standards with you through concrete examples.

I’m currently working on an MVP for a startup called  This system uses a variety of Meteor packages, plus some custom-written UI code to deal with forms, animations and so on.  In contrast to this “mechanical” code, which has nothing to do with the problem domain, the system has dozens of domain functions which are germane exclusively to  Many of these domain functions can be classified either as queries or transactions because they either read from or write to the database.

Domain functions are the heart of the system.  They encapsulate logic that updates the database in response to UI events.  A large part of the development effort goes into writing and refining these domain functions.

In, a UI event handler will usually delegate to one or more domain functions.  The domain function(s) will perform a number of database queries and updates, and some of them are complex, involving updates to several collections. domain functions are anchored in a global JavaScript object named Practus.  Because is a small system, it is feasible to anchor all domain functions in Practus.

Domain functions are technically stateless because they have no instance variables.  They operate exclusively on passed parameter values and data stored in Mini-Mongo and/or MongoDB.

To facilitate isomorphism, we first declare a Practus anchor object in a Meteor project folder that is shared by both client and server:

Practus = {};

Next, we create three JavaScript files named practus.js: one in a client folder, one in a server folder and one in a shared folder.  All three files contain the following skeletal code:

 * domain functions.
"use strict"
Practus = _.extend(Practus || {}, {

By using the Underscore extend function, we’re appending functions to the Practus anchor object.  Since shared functions are visible to both client and server, this results in the following arrangement:

  • Client
  • Shared Functions + Client Functions
  • Server
  • Shared Functions + Server Functions

Technically, only the shared functions need to be isomorphic, but we apply the same programming conventions to all domain functions. This allows us to move functions around without costly refactoring.

To invoke a domain function, we make a call via the Practus anchor. Example:

Practus.setCardOpen(cardId, true);

Since client, server and shared functions are all invoked via the Practus anchor, the impact of moving functions is minimized. This is particularly helpful for nested calls (i.e., when one Practus function calls another Practus function).

When you write domain functions, you must restrict your code to use only those services that are available on both client and server.  A client-side event handler may use jQuery to extract information from the DOM, then pass that information as parameters to isomorphic domain functions.

card = this;
$switch = $(;
open = $switch.bootstrapSwitch("state");
result = Practus.setCardOpen(card._id, open);

Any jQuery calls must be performed outside the domain function, because jQuery calls inside the domain function would prevent it from being used on the server side.

In, domain functions always return a result object that contains a success/failure indicator, an i18n message key, message variables and a message severity level.  Domain functions never throw errors, but instead catch-and-return them as failure-type result objects. The UI will render the response object to the user via PNotify, resulting in a pop-up message in the lower-right corner of the page:

pnotifyPNotify can be used to report results that are returned from both client-side and server-side domain functions.

When the UI calls a client-side domain function, that function will return the result object directly:

var result = Practus.rejectEnrollment(cardId);

When the UI calls a server-side domain function, that function will return the result object via a callback:"rejectEnrollment", cardId, function(err, result) {

 rejectEnrollement: function(cardId) {
  return Practus.rejectEnrollment(cardId);

PNotify is well-suited for reporting results from domain functions because it can work both synchronously and asynchronously. When the UI invokes server-side domain functions, there will be a delay before the results come back. Using PNotify, even if that delay is long, and the user has moved on to a new page, the message will be displayed properly once it arrives; thus, the UI can call server-side domain functions without locking the UI and forcing the user to wait for the response.

A well-written isomorphic function can be moved from client to server or vice-versa with negligible impact on user experience; the only difference will be latency.

Mini-Mongo makes isomorphism feasible because it provides a client-side API that is identical to the server-side MongoDB API.  In a data-centric system, most domain functions either query or update the database.  Since Meteor provides identical APIs on both client and server, most domain functions can be written isomorphically.

Although domain functions can run equally well on client or server, there can be tantalizing advantages to running them on the client.  First, there are UI performance advantages. UI events, such as toggling a switch, will trigger an immediate UI update as Meteor responds to Mini-Mongo state changes and re-renders the DOM locally without a server round trip (Meteor developers call this latency compensation).  Moreover, client-centric coding can reduce the server-side workload and costs to a level that would be difficult to achieve with a traditional page-oriented application.

When you write isomorphic functions, it will make things easier if you use Mini-Mongo and MongoDB to hold all of your state.  You must publish and subscribe collections carefully so that all necessary data is available in Mini-Mongo before attempting to promote server-side functions to the client. On occasion, I’ve tried to move functions from server to client only to discover that some of the data that those functions needed had not been published to the client. Such problems can be remedied by refactoring domain functions or changing the publishing rules. Domain functions may be split so that part of the work is done on the client, while other parts remain on the server.

With good programming standards and proper design, you can develop your domain functions isomorphically, allowing you to easily move code from client to server or vice-versa as you see fit.  The option to move functions with impunity can improve quality and performance, while simultaneously reducing development and operational costs.

Meteor Development Moved to Windows

For almost two years, I’ve been developing Meteor using several Ubuntu VMWare virtual machines running inside a Windows host; this weekend, I moved all of my Meteor development functions to Windows native, taking advantage of the new Meteor Windows support.


You might ask: why would one do this?  The main reason is that it will smooth out some kinks in my development process.  Much of this has to do with Eclipse.  Many months back, I used to run Eclipse on Ubuntu (Unity) on VMWare, and I’d do all of my editing from within the Ubuntu operating system.

This approach had a couple of drawbacks: speed, and also VMWare Ubuntu limits you to only a single display.  This is a significant drawback with Meteor, because there is a huge efficiency advantage to having HTML, CSS and JavaScript side-by-side on separate displays.  Most Meteor developers tend to do this, because all three types of artifacts are interdependent, and you can see how they work together at a glance.  I’ll often rough out the HTML and CSS for a page, then start building JavaScript that refers to the HTML elements by IDs or classes.  These artifacts evolve in tandem, and with a single display you are constantly having to switch back and forth trying to remember the names of things as you make changes.

Because I desperately needed multiple displays, I was doing something kludgy:  I had created a network mount on Ubuntu (which contained my source code), then using Eclipse on Windows, I was able to map a network drive to that Ubuntu network share using Samba.  The effect was my Windows Eclipse would modify the Ubuntu-resident source code, and I could therefore use multiple displays.  In order to build or do other things, I’d switch over to Ubuntu, but editing was done on Windows.

This worked, and I’ve had this setup for several months, but there were some problems.  Some of the Eclipse plug-ins do a lot of I/O to the folders, and I think the Eclipse developers didn’t anticipate that developers would have their source folders on Ubuntu network drive.  Many operations, such as simply changing a line of JavaScript would cause the Eclipse client to hang for as much as 30 seconds.  This would not happen every time, so it was tolerable.  Also, checking into GitHub was extremely slow, a commit could take several minutes for a large check-in.  Lastly, the Eclipse syntax highlighting logic apparently does a lot of I/O to determine whether a JavaScript variable is local, argument or global.  This would mean that after making a change, I’d often have to wait 30 seconds or more for the system to properly color the variables.

Now, all of that waiting is history.  Changes to JavaScript are instant, and syntax highlighting is almost instant.   Moreover, my MongoDB is now on a native SSD, so performance is better (on my system, all VMWare machines are on a spinning hard drive because SSD space is at a premium).

I am now building Meteor on Windows.  I have created a bunch of batch scripts that support the build/release process, including scripts to automatically SSH or FTP builds to my test Ubuntu machine or EC2.

So, things are better, but not perfect.  Because Meteor Windows support is bleeding-edge, there are some warning messages that are generated during the build and install processes.  Apparently these messages are non-fatal, but they can give you pause because during those operations you tend to want everything to go perfectly.  I believe that when Meteor upgrades to a later version of Node.js these problems will be solved.  Currently Meteor is on Node.js 0.10.36, which is a couple of releases back (Node.js is now at 0.12.X).

I still have one mundane task left to complete this process, and that is to get my Windows MongoDB database set up as a replica set so that it closely matches production.  Replica set can really help Meteor performance, because Meteor can leverage the so-called OPLOG to get notified of state changes in MongoDB the second they happen.  Without a replica set, Meteor goes into a different mode where it polls for state changes.   It also spends a significant amount of time doing comparisons (before and after) of result sets to infer state changes.  None of this is needed with OPLOG enabled, so once this is done I should be getting snappy performance from my development environment.  We have OPLOG tailing set up on on all of our production instances, and I can attest it makes a big difference.



The Iceberg


Beneath any modern software project lies a vast, invisible effort.  The typical user sees only the the tip of an enormous iceberg.

Seemingly-simple ideas can take longer to implement than one would expect.  Pushing an application into production requires many crucial decisions in disciplines ranging from systems design to engineering to security to performance management.

It takes balance and maturity to face the realities of internet projects without delusion.  Over-zealous belief in the market potential of an idea combined with the notion that one can get to market more rapidly than is humanly possible is a recipe for disaster.  Discipline, patience and time are the great levelers.

Reign of the Front End

Since my last post in January 2014, I have thrown myself head-first into the world of JavaScript, Meteor, Node.js and MongoDB, working on two major (i.e., paid) projects plus one unpaid project.

The first paid project is a system to support sales functions of an established firm in the nutritional supplements space.  The system is essentially an add-on to an existing CRM system. It uses the APIs to discover incomplete orders in the CRM system, then issues reminder emails to the prospects, and provides a convenient single-click method of completing those orders.

The second paid project is a multitenant SaaS in the eLearning space.  The goal is to create a minimum viable product (MVP) to serve as a beta, and potentially to attract seed capital.  This eLearning project has consumed most of my attention this year, and the challenges I have encountered are the impetus for this post.

In an earlier post, I suggested that Node.js and Meteor might yield an important indirect benefit: since JavaScript, a single language, is used for both client and server, JavaScript developers need not be pigeon-holed as back-end or front-end developers.  Because the Meteor framework reduces friction on the back end, more intellectual horsepower might be freed up for the front end.

This could not come a moment too soon.  Increasingly, modern websites are dynamic, responsive and reactive.  They behave like installed apps.  They push the limits of HTML5 and CSS3 leveraging complex stacks of JavaScript code to deliver the best possible user experience.  They use animations, drag/drop, collapsible sections, momentum scrolling, popovers, type-ahead boxes, layer sliders, image galleries, maps, video feeds and graphs.  Modern systems are expected to work equally well on touch devices and desktops, across all browsers.

We have little choice but to allocate more engineering bandwidth to the UI.  Applications that look like they were designed before the tablet revolution will go the way of the dodo bird.

Nine Months

In the nine months since my last post, I’ve been immersed in the front end.  I have come to see myself as a curator, scanning the globe for best-of-breed open-source offerings to facilitate our ambitious UX.  Our front-end stack currently includes:

  • Bootstrap 3-LESS
  • Bootstrap Context Menus
  • Bootstrap DateTime Picker
  • Bootstrap Switches
  • Bootstrap Tags Input
  • Jasny Bootstrap Extensions
  • Holder.js
  • jQuery Sortable
  • jQuery Touch Punch
  • Selectize
  • Amplify
  • Touchspin
  • Nearest

Evaluating open-source offerings can be time consuming.  Bootstrap and jQuery add-ons tend to be in a constant state of flux as developers struggle to maintain compatibility with other systems, while simultaneously dealing with bugs and feature backlogs.

There are competing offerings, each with strengths and weaknesses.  It can be helpful to first research what other developers are saying about the tools, and to take into account the sizes of their user bases.

It is necessary to install the tools and use them first-hand to prove that they will work harmoniously with the rest of the stack.  You need to dive into the JavaScript code, frequently single-stepping through it with a debugger to diagnose issues.  This process can disqualify a tool, resulting in a new round of searching and evaluation.

Be forewarned that choosing any tool will entail compromises: some features may work great but at the expense of others.  You have to pick your poison.

Meteor Blaze

The Meteor Blaze release has been lauded as the solution for reconciling Meteor with jQuery.  If you are not aware of the issue, it boils down to this: both Meteor and jQuery-based offerings want to control the document object model (DOM).  When conflicts occur, you must intercede.  Earlier versions of Meteor had template directives to allow you to declare certain areas of your web page constant (i.e., off limits for Meteor’s reactive updates).  This would allow you to use tools such as jQuery Sortable, albeit foregoing reactive updates for constant regions.

The Blaze release is widely believed to have reconciled Meteor with many jQuery-based tools, but it is only a first step.  The Meteor development team deprecated the constant template directive, implying that Blaze has solved the problem completely.  I can say with considerable authority that this is not true.  I have spent hours reconciling the behaviors of tools such as jQuery Sortable and Jasny Bootstrap with Blaze.  I have reported issues to the Meteor development team and they have graciously acknowledged them.

Notwithstanding, Blaze is an enormous improvement.  But there is still work to do to make it truly seamless, and until then UI developers will face extra effort, in some cases patching jQuery tools to get them to work correctly with Meteor.


Desktop computers and touch devices have different event models.   jQuery Touch Punch provides a means to convert touch events into traditional events so the same code can work on desktop and touch devices.  But even when using Touch Punch, you have to be careful about the set of gestures your application supports.  For example, there is no obvious gesture corresponding to right-mouse-click on a touch device, even though right-mouse-click is the standard event to display context menu or properties on desktop apps.  This means that a modern web application will tend to avoid context menus, or at minimum provide a touchable icon (i.e., button) to display the menu, for example, a down-chevron, which seems to be all the rage these days:


The down-chevron should not always be visible, but should appear only when the division that contains the menu is “hovered” over or touched.  I refer to this as a hover control.  This clutter-resisting design pattern has been made popular by Facebook.

There is no touch equivalent for double-clicking, so that gesture should be avoided entirely.

Other differences include the absence of movable dividers (sashes) in the touch world, and the fact that drag/drop gestures must be reconciled with scrolling: in the touch world the two gestures can be ambiguous unless explicit “handles” are designated for dragging.

Layout Challenges

A modern web site must work well on desktop and touch devices, and with all popular browsers at any screen resolution.  Bootstrap is helpful for coping with differences in screen sizes, but it is no panacea.  Media queries can help in limited cases by targeting CSS rules to particular devices, but complexity grows with each exception added; therefore, it is necessary to code your HTML and CSS carefully and test frequently to avoid changes that break the UI on one or more platforms.

Speaking with other UI developers, I’ve come to realize that we’re all in the same boat.  We’re all looking at our iPads wondering why our text doesn’t properly center on certain devices, or why our scrolling area extends beyond the right margin of the containing division, or why when iOS momentum scrolling is enabled we cannot drag items out of the containing division without the item being rendered invisible.  With each new problem, we will use Google to find hits that might give us more insight, or might yield a solution.  Time and time again, we will eventually find the magic recipe of CSS and/or JavaScript to overcome the problem.

Consider this: the popular website JSFiddle is loaded with tens of thousands of hacks to beat the browser into submission.   That such a web site is even necessary speaks volumes about the current frustrating state of affairs.

Occasionally, when I complain about this, some hot-shot UI developer will respond “we use LESS” as if LESS somehow ameliorates these issues.  The implication is that the problems are attributable to the CSS language; unfortunately, the problem isn’t the syntax of CSS, it is how browsers interpret the rules, particularly in complex cases with heavily nested divisions and dealing with issues like dynamic resizing, justification, visibility, scrolling and truncation.

We use LESS for all of our projects, specifically the advanced configuration offered by package Bootstrap-LESS.  But LESS doesn’t address the core issue: the difficulty of finding the magic set of rules that will yield the desired dynamic-resize behaviors.  Your pages must behave beautifully on any desktop or mobile device, at any size.

CSS requires discipline and continuous refactoring.  The never-ending battle to keep your CSS DRY (don’t repeat yourself) is thankless.  Unless you pay careful attention to class naming conventions and rule granularity, your CSS can spin out of control.  Seemingly innocent changes will begin to have unwelcome side-effects.

Lately, I’ve been adding detailed comments to my CSS.  Whenever I code a complex set of rules to overcome some layout issue, I write comments as clearly as possible to explain the intent of those rules, particularly in cases where the intent is to circumvent a browser bug.  When the CSS has to be changed, comments regarding the original intent can help minimize costs.

The Front End Remains the Same

Last year, I went on a quest to find the best full-stack framework to develop modern web applications.  I evaluated Ruby on Rails, Grails, ASP.NET and Meteor/Node.js.  I imagined that I would find the best framework, try to learn it inside-out, and then use it to develop exciting applications.

But there was one thing that I didn’t fully appreciate: regardless of which framework you choose, the front-end issues will always be there.  JavaScript, HTML5, CSS3 and all of the related challenges will be virtually identical.  You’re going to have to worry about responsive design, layout, advanced behaviors touch devices and browser compatibility.

If you are a full-stack developer, you’ll spend the majority of your time in the front-end world of JavaScript and jQuery, regardless of whether your back end may be PHP, Django, Rails, JSP, ASP.NET or Node.js.

In my view, this reinforces the notion that Node.js (and particularly Meteor) is a great choice for new systems.  Since there is no viable way to avoid JavaScript on the front end, why not go all the way and use it for everything?

When Will Our MVP Be Ready?

Notwithstanding great tools, project durations can be difficult to estimate, because no one can anticipate the snags that will arise.  One thing is predictable: a given project will take longer than one would wish. A modern web site that works beautifully on all devices and has cutting-edge behaviors will be expensive.

Today, one factor seems irreducible: the cost of research.  When you embark on creating a new subsystem that requires advanced behaviors, you’ll be forced into research mode to evaluate open-source offerings or custom coding.  When you run into a snag, such as unacceptable behavior on some device, you will have choices (1) ignore the issue (2) consult with a knowledgeable colleague (3) fight harder by Googling, looking at the source code and experimenting.

In research mode, it is difficult to estimate how long it might take to find a solution.  To estimate the cost, you must rely on your instincts, comparing each new challenge to similar challenges in the past.  Sometimes you get lucky, but more often you don’t.

There will be plenty of dead ends, because no one can make the right choices every single time.  New JavaScript offerings, platforms and services are constantly being introduced, and competitive pressures will compel you to learn about them and incorporate them into your applications.

Today, it may be drag and drop.  Tomorrow it may be streaming video.  The next day you may be working with 3D graphics in WebGL.  You’ll have to learn many APIs, and use them defensively with robust error control and graceful degradation.  Your system is not an island but an amalgamation of services, each of which is another potential point of failure.

We are all constantly learning.  What we don’t know today, we will learn tomorrow.  We must look at new challenges with a sense of wonder, with the eyes of a child.  We must take the time to help and support one another, to share what we have learned.

Move Over LAMP, Make Way for JAMM

After working heads-down with Meteor and MongoDB for four months, I haven’t run into any show-stopping snags.

You’ve likely run into the acronym LAMP which describes an enormously popular application architecture based on Linux, Apache, MySQL and PHP.  The combination of JavaScript, Meteor and MongoDB is so powerful and cost-effective, it deserves its own acronym.  So move over LAMP and make room for JAMM (Javascript, Meteor, MongoDB).

Working with these tools has made me appreciate scrappy JavaScript, particularly when combined with powerful add-ons like jQuery and Underscore.  JavaScript can be made modular, yielding key benefits of encapsulation and object-orientation (purists may argue but they’re splitting hairs).  My own fears about leaving the Java “tribe” seem unfounded: everything you need for a typical data-centric project is available, open source, lovingly crafted by a growing list of true believers in Node.js and Meteor.

I think we’ll see more and more enterprise-class, cloud-based applications written using nothing but JavaScript.  Many forward-thinking companies have been infected by this trend and have made enormous investments in JavaScript, albeit still using mature technologies such as PHP and AJAX.   With deep pockets, they’ve spared no expense on their front-end code.  Meteor lowers the bar, making JavaScript-centric, reactive front ends available to the masses at low cost.

But adjusting to these new tools can be disorienting, and I find myself comparing and contrasting JAMM to things with which I am more familiar.  Over the past decade, I’ve been working on rule-based systems that conform to three-tier architecture.

Three Tier Architecture

With this architecture, the client tier, typically a web page or hand held device, communicates with an application server that comprises the middle tier.  The middle tier contains business rules that operate on a domain model (i.e., object instances that contain enterprise data).  In most cases, the domain model is mapped to a database, and in the Java world, often using Hibernate, the leading object-relational mapping system.

By convention, in three-tier architecture, the client tier is typically regarded as “dumb” in that it merely renders facts that are derived by business rules in the middle tier.  Granted, the front end has mechanical JavaScript code for things like animations, tabs and managing powerful widgets such as trees and tables, but typically no business logic.

In the three-tier approach, the database tier is frequently seen as nothing more than a storage system, but admittedly in many cases, firms fudge by coding some business logic in database-resident stored procedures and triggers that can technically be characterized as rules.  People will argue about the merits of this, but I’ve honestly become fatigued by the controversy; it is mostly religion.

With three-tier architecture, the middle tier is king.  The middle tier encapsulates a centrally-controlled domain model that is in a consistent, canonical form (i.e., objects).  In theory, by centralizing business rules in the middle tier, cost can be reduced, and software quality can be improved.

Irrespective of whether potential benefits are realized, three-tier architecture is pervasive.  A consensus about the viability of this architecture emerged in the early 1990’s and it has remained largely unchallenged to this day.

Tangible cost benefits of three-tier architecture can be difficult to achieve due to complexity.  Object-relational mapping is not straightforward due to a set of technical problems collectively referred to as impedance mismatch.  It has taken many years of focused effort for Hibernate to be regarded as production-ready.  Even now, performance considerations make it likely that caching systems will be necessary, effectively carrying an object-oriented copy of frequently-referenced data in the middle tier.

It takes extraordinary effort to maintain the illusion that our data is represented as neutral objects when in fact the underlying data is stored in relational form.  The cost of dealing with this complexity is real, including the difficulty of recruiting developers that have mastered object/relational technologies, but also in operations and technical support, where problems can be difficult to diagnose and correct.  Much of this complexity and cost can be reduced by JAMM.

MongoDB as Object Authority

MongoDB stores and maintains data in a form that is functionally equivalent to a traditional middle-tier domain model.  Because of this, there is no need to maintain a extra object-oriented copy of the data in the middle tier; instead, middle-tier rules operate upon objects in the database tier, which becomes the central authority for persistent and non-persistent facts.  With this approach, the middle tier can be characterized as stateless.

JAMM Architecture

To an engineer familiar with traditional three-tier architecture, this shift in design can trigger alarms.  I explored my own feelings about this, and found that they boiled down to visceral concerns about database performance.

To counter these concerns, it is important to understand that accessing data in MongoDB is much faster than an object/relational system.  Given a Mongo ID of a document (tantamount to primary key), data can be accessed rapidly because:

  • In many cases, the data to be accessed will already be memory
  • The data may be indexed in extraordinary ways, including indexing every single field of a given record
  • The database tier and middle tiers may in fact be in the same machine, reducing communications overhead
  • There is no mapping overhead because the data is stored in object form

Rules in the middle tier can access just the data they need using granular MongoDB selectors (akin to database SELECT statements), and make state changes to MongoDB without carrying an object-oriented copy of the data.

With this approach MongoDB can be viewed as the state authority for both persistent and non-persistent data, supplanting the middle tier.  I stress non-persistent, because MongoDB is so fast and convenient, it can be used to handle non-persistent data that would traditionally be kept only in the middle tier.

In short, we need to resist the tendency to look at MongoDB as just a storage system.  It can be elevated to a higher plane to become the state authority, the keeper of canonical objects.

Rules on Client Tier

Because JAMM is implemented in 100% JavaScript, it is possible to deploy business rules to the client tier, the middle tier or both.  Although purists may resist the idea of deploying business rules to the client, I have come to see this as a stupendous opportunity.  Example opportunities for rules on the client include:

  • Data validation without requiring a server round trip
  • Data validation via calls to external systems without involving the middle tier (e.g., Google Places API)
  • Conditional forms (i.e., certain parts of a web page being displayed or hidden based on answers to questions)

Meteor allows JavaScript rules to be moved indiscriminately from middle tier to the client or vice-versa, without programming changes.  This permits you to deploy rules where they make the most sense, resulting in improved performance and user experience, and allowing the client to behave reasonably in the face of a spotty connection to the server.

Look forward to more applications pushing rules out to the client tier, and using middle tier services more sparingly for heavy number-crunching or for financial transactions where security is a concern.


Why I’m Sold on Meteor and Node.js

It has been almost two weeks since my last blog post.  During this time, I’ve been working hands-on with Meteor, Node.js, MongoDB and Twitter’s Bootstrap framework.  One of my main objectives was to find gotchas that might disqualify Meteor as a viable solution for upcoming projects.

During this time, I spent quite a bit of time working with HTML5 and CSS3 in the context of Bootstrap.  Meteor,  Node.js and MongoDB are so expeditious at dealing with the core issues such as data storage and retrieval that a larger percentage of time can be spent working on aesthetics, for example a responsive layout that works equally well on both hand-held and desktop clients, and also ensure that the application simply looks good and professional.

I broke down and purchased the fine book Discover Meteor: Building Real-Time JavaScript Web Apps:


This book helped me resolve a key mystery about Meteor, namely how the system determines which templates need to be refreshed when back-end data changes.  Now that I understand it, I have to say that it is awesome, but please bear with me because you’ll need a little background to understand.

A meteor application is comprised of two “things” that must be developed in tandem:

1.  Templates, which are HTML plus special Handlebars tags.
2.  JavaScript template functions, helpers and event handlers.

Meteor templates are cleaner than traditional template-based development approaches like JSP, because there is never any JavaScript code in the template, and the interplay between the template and JavaScript code follows well-defined rules.  Microsoft has gone in this direction with ASP.NET using the so-called code behind philosophy, where most C# or VB code can be in a separate file.

When Meteor processes your template, it will call into your JavaScript code at key control points to retrieve necessary data.   For data-centric applications, the JavaScript code will typically call MongoDB to retrieve data, and that data will be cached in the browser-side Mini-Mongo as JavaScript objects.  The Mini-Mongo data is directly accessible to the templates and is in the necessary format to feed the templates.  There is no conversion overhead.

Now here is the magic: after Meteor processes your template, the system is smart enough to detect whether any of the data referenced by your JavaScript code has been changed, and to dynamically re-render the corresponding template(s).   This automatic update occurs without a single additional line of coding, and is the key to Meteor’s so-called reactive behavior.  Please take note of the word reactive, because I suspect that you’ll be hearing that more frequently in coming years.  This is because Meteor, and similar platforms such as Derby, are poised to change user’s expectations regarding how web apps should behave, and there is no turning back.

But there was one central mystery: how can Meteor know if any of the data elements that happen to be referenced by my JavaScript code might have been changed, requiring that my template(s) be re-rendered?  Meteor solves this problem in an elegant way that is transparent to the developer; moreover, by mastering a few simple concepts, developers can control the underlying machinery to connect to new data sources that are not known to Meteor.

Whenever Meteor calls into your JavaScript code, it first constructs an object called a Computation.     The Computation contains many Dependency instances.  Each Dependency instance represents a single data source that might dynamically change after your template has rendered.  In practice, most of these Dependency instances correspond to MongoDB collections.  The relationship between Computation and Dependency is many-to-many, so a given Dependency may be contained inside any number of Computation instances.

At any point in time, there is a so-called current Computation which is “active” at the time your JavaScript function is executing.

Meteor getter functions, particularly those that involve retrieval of MongoDB data, will automatically add Dependency instances to the current Computation.   These Dependency instances are listeners for any changes in the underlying data source, and each Dependency knows the set of Computations that might be affected my underlying data changes.

Together, the Computation and its Dependency instances comprise a complete record of all reactive data sources that your template references, both directly and indirectly.  In other words, as a byproduct of executing your JavaScript template-rendering function the first time, the system constructs a record of all reactive data sources that are inputs into your template.

Since the relationship between Dependency and Computation is many-to-many, a given Dependency knows the set of all Computations (and associated templates) that should be re-rendered if the underlying data changes.  With the help of Websockets, Meteor listens to data state changes, and selectively re-renders only the affected templates.  This is in contrast to standard JSP, ASP or PHP where the entire page would have to be refreshed on demand by the user, or via AJAX and jQuery calls to patch HTML after the initial rendering, requiring two separate code paths that do essentially the same thing.

Meteor unifies the code paths: the same code that handles the initial rendering handles dynamic refresh, so making a real-time web application carries no additional cost.  Since real-time behaviors are inexpensive, you’ll see them more and more frequently, and static approaches such as JSP will seem clunky and “legacy” by comparison.

I’m particularly excited about the possibilities using Meteor together with HTML5/CSS3 animations, Google Charts and RIA frameworks such as Sencha ExtJS.   Consider these possibilities:

1.  Smooth-scrolling tables of data that dynamically roll as data is added similar to the ending credits of a movie
2.  Google Charts that dynamically update as data is changing
3.  Table and tree controls that are dynamically updated as user collaborate on a shared data model

Such reactive behaviors will likely become hallmarks of modern web apps.  Start-ups can take advantage of these technologies to differentiate themselves from well-established competitors, at least in the near term.

So, if Grails is a carrier battle group, and Ruby on Rails is a rickety pirate ship, I would say that Meteor/Node.js are the Oracle catamaran: minimal, streamlined, modern and super fast to develop.




Opinions Forming on Rails – More on Node.js

I have an opinion forming about Rails.  It does seem to handle everything, but Rails is making the hair on the back of my neck stand up.

If one could compare Grails to a carrier battle group, Rails might be seen as a rickety pirate ship.   Although Ruby (the language) is fine, Rails seems clunky, somewhat dated.  It reminds me of Oracle: cumbersome install, heavy reliance on command line.  It took quite a bit of set up to get through the tutorial.  I had to assign very specific version numbers to all of the gems (plugins) in order to get through the tutorial as written.  That bothered me.

Moreover, the Rails stack is a little scary because there is so much magic going on.  I’m sure it works great on the happy path, but what if you have to stray?  Also Ruby on Rails feels like a cult.  Rates for Rails developers are high.  The phrase The Ruby Way makes my skin crawl.  My wild-wolf instincts say run.

I’m of the opinion that model-driven design and MVC will save money if done right.  This is evidenced by the fact that many popular frameworks revolve around a domain model.  Although all of the full-stack frameworks claim to conform to MVC (or MVVM), they appear to have different ideas about what this means.


This diagram depicts a pattern that I call Absolute MVC, a phrase we coined at Corticon.   A user action, such as inserting a new row into a table, triggers a message to the model authority in the back end.  The model authority knows how to change the model correctly in response to the user action.  A single message may result in substantial changes to the model in a transactional manner.

Full-stack frameworks often refer to the combination of the view authority plus the model authority as a controller.

In Absolute MVC, we formally separate the model authority from the view authority.  The view authority is concerned only with refreshing the view, and only in response to state-change notifications from the model authority.

Unfortunately, the full-stack frameworks don’t actually work like this, notwithstanding that they claim to implement MVC.   The key reason is technical, and it boils down to this: there was no convenient way for the browser to receive an asynchronous notification from the back end.  In other words, there was no reliable way for the model authority to notify the view authority that the model state had been changed.  Until now.

As of this writing, there is standardized way to do this called Websockets (RFC 6455).  Moreover, there is a cutting-edge framework called Meteor (which works with Node.js) that takes advantage of this new capability.  Meteor is the first (and only) framework that I have encountered that implements Absolute MVC with the browser.

If you’re used to traditional web development (e.g., PHP, JSP, ASP), you have to see Meteor with your own eyes, but consider this.  The browser views are bound to a shared data model.  If any user changes the data model, all browsers update instantly.  There is no polling.  The function is driven by an asynchronous message from the server to the browser(s).

Meteor maintains an object cache in the browser that is synchronized with the Node.js server.  All of this is transparent to the developer, who can behave as if all of the information is stored locally.  The system allows the developer the illusion of being able to directly access data inside MongoDB from client-side JavaScript.

This architecture avoids a lot of the clumsy implementation issues that surround the traditional request/response/redirect patterns that plague JSP and the like.  The code to access data is simple, and you have to see the Meteor screen cast to fully appreciate this.  The server delivers data to the front end, and HTML rendering is done in the browser.

However, one drawback to consider is that Meteor and Node.js are new, and many subsystems are still in their zero (beta) releases.  The good news is that Meteor apparently had a recent injection of financing which should keep them around for a while.

It is no exaggeration to say that Node.js combined with something like Meteor could become popular very quickly, because the potential savings are enormous.

I’m currently working on a “spike” to get a Hello World application up on this stack to see it with my own eyes, and I’ll post my findings here.