DevOps Environment Architecture – My Thoughts

After writing about my thoughts on how application architecture might look like in the future, I have been now thinking about how CTOs would want to remodel their DevOps Environment to cater to the whole new multi-cloud ecosystem with completely new Jargons flying around… Lemme illustrate: Cloud Native / 12 Factor Applications, Multi-Cloud, Hybrid–Cloud, Micro-Segmentation, Containers, ChatOps, NoOps, PaaS, FaaS, Serverless, TDD, BDD, CI/CD, Blue-Green, A/B, Canary … You get the picture right…. All these were alien terms in the old Waterfall Model of Application Development but are now the new reality but retrofitting the waterfall style of governance on this ecosystem is a sure recipe for disaster!

So how can we approach this?

I see two dimensions by which we should approach the new estate

  1. The Environmental State Dimension – In this dimension we look from the context of the state of the work item in terms of modern agile Life-Cycle
  2. The Application Life-Cycle State Dimension – From this perspective we see the work item from a user experience impact perspective….

Let’s Explore the State Dimension…

I see four clear states that the code ultimately will go through in a multi-cloud CI/CD environment

Developer Station

  1. This is the environment that the developer uses to write, perform local tests, branch and sync with multiple developers’ s work
  2. This can range from a completely unmanaged BYOD environment to a hyper secured VDI Client
  3. A few Options in increasing order of IT Control I can think of are as below:
    1. BYOD Laptop/Desktop with Developer’s own tools and environment
    2. IT provided Laptop/Desktop/Workstation with mix of IT and Developer installed tools
    3. Virtual App based IT supplied Environment on Developers Device
    4. VDI Client Accessible from Developer Device

Test Zone

  1. This would be the zone where the code gets committed for Integration Tests and Compliance Tests against the bigger SOA / MicroServices Environment
  2. This typically would be cloud based to minimize cost as the load would vary significantly based on working slots of developers and commit levels based of application change loads
  3. Automation is inevitable and manual intervention is not advisable considering the maturity of testing tools automation available in the market

Staging Zone

  1. This zone would be a small scale replica of the Production zone in terms of Multi-Cloud Architecture, Storage distribution, Networking and Security
  2. The Aim would be to Test the Application in terms of Performance, UX and Resilience on multiple Cloud Failure Scenarios. 100% Automation is Possible and hence manual intervention should be avoided
  3. Observability Assurance would be another important goal post in this environment… Though I personally have doubts on maturity of automation capability… Unless Developer Adheres to Corporate Standards, Observability would not be possible for the given code and automation of this is doubtful and imo may need manual intervention in certain scenarios…

Production Zone

  1. I don’t think this zone needs any introduction
  2. This is where the whole ITIL/IT4IT comes to play from a governance and management perspective
  3. This also would be the zone where multiple clouds thrive in an interconnected, secured and 100% IT Governed manner

 

Now to the other dimension…

Application Life-cycle

I have already talked about this in a previous blog (Digital {{Dev}} Lifecycle) …

But overtime I believe there is more needed in an ever changing multi-modal enterprise environment… But that I leave for the next post … Till then bye!

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