A Brief(ish) Explainer on Headless Architecture

-

What does this even mean?

It can mean a couple of things. From a technical perspective, the term originated from systems that had no display attached. So, for example, when setting up a data center, it might be necessary to have thousands of servers and having a monitor on every server led to a lot of redundant displays. Specifically, your database/web server really never needed a display because it's sole purpose was to service calls from the network. This also potentiall applies in the modern virtualized server world to provisioning new vms with a specific operating system image. The term "headless" in this situation indicates the server (virtual or not) has no display or keyboard attached and the only way to connect to it is via a network interface.

An alternate definition, and where much noise is currently being made, is around a platform (like a content management system) that "traditionally" would serve up web content, but instead only serves up data that some other system renders. So, to clarify, if you use wix.com to create a web page, the system that you edit the web page in actually sends the web page to your customers. In a headless world, the system you edit the web page content on is different than the one that actually serves the page.

So what?

The first definition is so entrenched in data center operations and architecture that it's rarely even used any more...everyone does it this way. The second defintion has become more relevant because of the multitude of ways someone might want to reuse content across many touchpoints.

For example

Say you're a brand that wants to display your product and some images to your customers. You build a web page and publish it to the interwebz. A couple of years go by and you're updating your images/descriptions and you want to start running ads on your favorite social network. So you upload the images to the ad platform, copy/paste the descriptions and publish there. Then, lets say you have a mobile app you want to put in the hands of your users...you hire a team to build the mobile app, copy/paste the images and descriptions and publish the app(s) [ios and andriod right?].

Now, let's say you want to update the images or product descriptions. In this relatively simple scenario, you now need to update in 4 different places. In a headless architecture, you would update the description and image in your "headless" CMS, and all your apps simply fetch the data from the CMS (or the CMS pushes the data to the channels...there are multiple ways to facilitate this).

On the surface, it might seem this architecture is obvious, but in reality many folks are still in the copy/paste world. Additionally, shifting to a headless approach generally mandates a shift in ownership of the content. In the olden days, if the "web team" owned the content and digital assets, someone from the "mobile team" or the "marketing team" would need to go find the content and assets. To make headless work, the content and assets need to be viewed as a shared resource that is managed independant of the various channels.

Comments

Post a Comment

Popular posts from this blog

Please use ANSI-92 SQL Join Syntax

-
Image
Way back in 1992, a standard was published for SQL. In it, the syntax for specifying joins in SQL Database was finally standardized. This was a good thing because (for folks who've been doing this a while), trying to decode the vagaries of how various Databases handled outer joins could drive you bonkers yielding different results depending on the parse order of things in the from and where clauses. Unfortunately, some DBMS vendors took a while to adopt this standard (Oracle didn't support it until 2001), but at this point if you're using a major RDBMS and NOT using it, you're probably mired in a tradition or habit that bears changing. As an example of what I'm describing, here are some examples of what I mean. Old School (no standard syntax + implementation and evaluation of predicates varied by vendor [and query]): select * from customer, order where customer.customer = order.customerid ANSI way (agreed to standard, predicate evaluation has some rules ...
Read more

The difference between Scalability, Performance, Efficiency, and Concurrency explained

-
I thought I'd give some explanation of the difference between scalability, performance, Efficiency, and concurrency. To make things more accessible (and because I'm watching a cooking show on TV) I'm going to use a baking metaphor to help explain the differences. In our case, the system in question is baking cookies for consumers. Scalability, is how well something responds to adding more resources. If we can double our capacity by doubling the number of resources, we've got linear scalability. In our baking example, if we add more ingredients, we can scale to a larger number of cookies. To contrast with our other metrics, this doesn't actually increase the performance of creating a single cookie (they still take 10 minutes to bake), and the efficiency is the same (we just have more capacity). We also cannot bake more cookies in a fixed time period, but over a larger time period we can produce more cookies. Performance is how fast something can get done, u...
Read more

the myth of asynchronous JDBC

-
Image
I keep seeing people (especially in the scala/typesafe world) posting about async jdbc libraries. STOP IT! Under the current APIs, async JDBC belongs in a realm with Unicorns, Tiger Squirrels, and 8' spiders. While you might be able to move the blocking operations and queue requests and keep your "main" worker threads from blocking, jdbc is synchronous. At some point, somewhere, there's going to be a thread blocking waiting for a response. It's frustrating to see so many folks hyping this and muddying the waters. Unless you write your own client for a dbms and have a dbms that can multiplex calls over a single connection (or using some other strategy to enable this capability) db access is going to block. It's not impossible to make the calls completely async, but nobody's built it yet. Yes, I know ajdbc is taking a stab at this capability, but even IT uses a thread pool for the blocking calls (be default). Someday we'll have async databa...
Read more