Implementing Rapid and Repeatable Pipeline for an Enterprise

Enterprises and their individual feature teams are in a rush to build DevOps Pipelines with all the right reasons.

While central teams are provisioning tools to be consumed at Enterprise level, individual feature teams are focusing heavily on building pipelines instead of building and enhancing business priorities.

This results in "duplicate pipelines” solving the same problem of automation for build, test, package, infra, deploy and release using the given toolsets. - This results into duplication of efforts and redundancy.

We intend to share our approach to build a pipeline enabled to for polygot programming languages and consumption patterns supporting various areas including.

  • A single click to deploy the complete pipeline infrastructure and app pipeline
  • Support multiple cloud deployment (AWS, Azure, etc…)
  • Adoption of open source tools
  • Clustered or non-clustered infrastructure deployments

We will also emphasize on the implementation experience of the advanced Engineering practices in the area of immutable infrastructure, Chaos Engineering, blue-green/canary deployment.

 
 

Outline/Structure of the Case Study

  1. Defining the problem statement and challenges with Pipeline adoption [5 mins]
  2. The Rapid Repeatable Pipeline Approach [25 mins]
    1. Our definition of Rapid Repeatable Pipeline(RRP)?
    2. A high level solution
    3. Tools and Technology
    4. Success Criteria for Enterprise Implementation
    5. Our Learnings and Derived Outcomes
  3. Advanced Engineering areas [10 mins]
  4. Q&A [5 mins]

Learning Outcome

Through this session we intend to drive following learning outcome for the audience:

- Accelerate the DevOps journey and bring repeatability

-Improved synergy on business value outcome

-Optimization of engineering efforts

Target Audience

Architects; Tech Leads; Technologists; Product Managers; Scrum Masters;

Prerequisites for Attendees

- Basic understanding of DevOps and pipelines

- Basic knowledge of cloud deployments and DevOps tools

schedule Submitted 2 years ago

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