Strong Affinity with Agile Approach

Companies are delivering applications, products and services at high velocity and for that devOps adoption is a wise strategy. Circles around practices, and tools which enhances company’s ability to produce work at faster pace. Our devOps approach targets optimal product delivery time, continuous and quality testing, feature development – hence it quickens development and deployment lifecycles.

Development and operations collaboration is how it works. They are agile by nature but have added tools. Even simple processes could be programmed and made dynamic. Let’s examine.


Step 1: Shared Tools Strategy

Common tools strategy is what works when devOps teams operates in multiple projects at a time. Through common strategy, they collaborate with development, QA and deployment teams in a better way. Processes, communication and collaboration planning, continuous development, integration, testing, deployment and operations and cloudOps tools are part of the common strategy. Picking common strategy means everyone agrees and we make sure it reflects business objectives of DevOps.

Step 2: Use of Tools for Requests

Ad-hoc changes must not work outside of devOps process which is why devOps tools must capture every request, different than software progress login. Purpose is to automate change request process either coming from business or from other devOps teams.


Step 3: Agile Project Automation

We use specific frameworks to go easy with agile development implementation. They compare the work in progress with the capacity of the team. Flexible planning options, fast results, clarity and transparency in the development cycle are ensured. Our flow based approach stay intact. Once one item is done next from backlog pops up based on the set priority.

Step 4: Logging Metrics

Manual and automated tools are utilized after understanding the productivity of the devOps processes of any company. We assess either automated and manual tools working in the process. Also, metrics related to DevOps process are laid down, example, deployment speed, testing errors etc.

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