07 May 2016
I am sure there is some equation we could come up to describe the amount of ideology and / or dogma present alongside each bit and byte of code. Something that exponentially increases with each additional line of code or MB on disk. An example of this in action, in the wilds of the API space, is the difference between an SDK for an API, and just a single sample API call.
The single API sample is the minimum viable artifact that enables you to get value from an API -- allowing you to make a single API request and receive a single API response. Very little ideology, or dogma present (its there, but just smaller quantities). Now, if an API provider provides you with a Laravel SDK in PHP, or a JAX-RS SDK in Java, and React.js SDK, I'm significantly cranking up the volume on ideology and dogma involved with this code. All contributing what type of technical debt I'm willing to assume along the way, with each of one my API integrations, and wider technological solutions.
I work hard to never hold up any single technology as an absolute solution, as there are none, but I can see a potential for the latest wave of "serverless" approaches to delivering code potentially helping us unwind some of our technical debt. Like most other areas of technology, simply choosing to go "serverless" will not provide you the relief you need, but if you are willing to do the hard work to decouple your existing code, and apply the philosophy consistently to future projects, the chances "serverless" might pay dividends in the reduction of your technical debt will increase greatly.
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05 Apr 2016
I am spending time talking to more API providers, and API service providers, about the challenges they are facing, while reaching out to potential customers, thanks to the support of my partners Cloud Elements. One of the conversation I had last week was with Diego Oppenheimer (@doppenhe) of Algorithmia (@algorithmia), who shared with me the challenges he faces in getting senior engineers to realize the potential of APIs, and the value API driven platforms like Algorithmia bring to the table.
Diego expressed that the biggest thing they face is convincing their engineer, senior dev, and other tech-focused consumers, that Algorithmia isn't just something new they need to add to their existing stack, and that it is more about enabling what is already in place. While some folks will benefit from discovering entirely new algorithmic approaches on Algorithmia's marketplace, the biggest impact will come from the platform's approach to defining, scaling, and stabilizing the algorithms developers and IT folks are already putting to work.
These are the content, data, and other resources you are already putting to work, the algorithms in your business life that already have relevance in your operations. I'm constantly working to focus on the fact that APIs are all about making these resources better defined, accessible and more discoverable, but when you also leverage what's being called "serverless" approaches like Algorithmia, you are also making them more scalable, more stable, and usable as well.
Diego said he's always trying to reassure senior tech folks of the fact that they aren't pointing out that they don't have the skills needed to define, deploy, and scale the bits of code (algorithms) that are making all of our worlds go around. It is about employing APIs, the cloud, and making your existing algorithms more agile, flexible, and scalable, augmenting your existing world with tangible benefits--ultimately making you better at what you are already doing.
I've talked about this concept before within my own operations. As the API Evangelist I will not scale what I do, unless I can find a service that augments what I already do, justifying an added costs only by truly achieving relevance in my daily operations. Little API driven algorithmic nuggets is how I do this. All you have to do as an APi service provider and enabler, is convince me of the tangible benefit you deliver in my operations, and your products, services, and tooling will naturally become more relevant.
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08 Mar 2016
I was being interviewed by an IBM group the other day, and I scribbled some thoughts on a piece of paper as I was rambling, which I just picked up trying to make sense of what was going through my mind, before I archive the chicken scratches.
It look like during the call I was talking about how I see the world of API deployment, based upon how I am currently organizing providers, services, and tooling that I find. I was discussing with them how I am moving towards breaking things down into four buckets:
- Gateway - The more enterprise focused, IT department led API efforts, usually conducted at larger enterprises, and institutions.
- Artisan - A more farm to table, hand crafted approach that employs organic open source REST frameworks in the process.
- Cloud - Leverage the latest breed of cloud API service providers that allow you to deploy APIs from common resources online.
- Serverless - Outdoing the artisan hipster approach, all the cool kids are doing it without servers, piece by piece using Iron.io and Lambda.
My API deployment research has just been a single list of service providers, and open source tooling for the last couple of years. Its time I started breaking things down a little more, and helping my readers find solutions based upon a more realistic approach to how APis are being deployed in the wild, or at least within their organizations.
I almost added database as layer here, but I want to keep these API deployment buckets more about the middle layer in between the backend infrastructure, and the clients that wll be consuming API resources. API deployment touches on API design and definitions, and stops short of API management, with some overlap with containers, and API virtualization.
This post also reveals the fact that I write most of these stories to help me think through the world of APis, get my thoughts in order, and help formalize them a little bit further, as I try to articulate to myself, (and you) via the this blog.
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