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How to Build an agile DevOps Team?
IT teams have to work a lot when they commit to agile and DevOps practices. Agile teams define their scrum master roles to mature and scale their practices and further to add estimating methods and to grow their usage of agile management tools.

By
Apac CIOOutlook | Wednesday, January 23, 2019
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IT teams have to work a lot when they commit to agile and DevOps practices. Agile teams define their scrum master roles to mature and scale their practices and further to add estimating methods and to grow their usage of agile management tools.
DevOps teams follow the sequence of implementing Continuous Integration and Deployment (CI/CD) pipelines, then perform automate testing, and then add more informative application-level monitoring alerts. There is a constant struggle between development teams that want to release the applications quickly and IT operations that want to control changes so that the applications run smoothly
Occasionally, technical teams lose sight of the problem they are solving and the reason behind it. The teams must follow the protocol to form a proper solution. The team must define the opportunity with a clear statement of the objective, understand user needs and values, decide what’s a higher priority, understanding constraints and leveraging relevant data, and communicating results and recommending next steps.
Check out this: Top Agile Consulting/Services Companies (CoActivation, LPS, Onion Creative)
Ideally, teams try to strike the right balance between delivering on deadlines, responding to customer needs and issues, and addressing technical debt. It is easy to comprehend but hard to implement in practice when users have problems and security teams want vulnerability patched aggressively. Strong teams don’t waste their time and use it efficiently to address demanding priorities. Best teams don’t let technical debt pile up. They mitigate crumpling infrastructure rather than worrying about security and other risks.
One of the Agile Manifesto principles says the best architecture, requirements, and designs emerge from self-organized teams. The best teams practice this principle by finding the right balance between self-organizing, experimenting, and developing proofs of concept. It is difficult for smaller units to truly define, document, communicate, and measure a standard. For larger teams, scaling an idea requires communication and collaboration. Self-organizing Agile and DevOps teams are given significant flexibility and empowerment to do the right things well.