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A Deep Dive into the Software Development Life Cycle (SDLC)

The Product Coalition

The Software Development Life Cycle provides a practical framework you can apply to your product and improve your processes. With the support of the SDLC, You can track and control your calendar, and increase productivity and speed of development. It helps us meet customers’ demands, needs, and expectations.

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Building an Efficient Release Management Process

Split

A streamlined release management process is imperative for mitigating deployment risks and accelerating software delivery. All too often, releases turn into stressful events, fraught with last-minute surprises that disrupt business processes. What is the Release Management Process Flow?

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Key Differences in Deploy and Release in DevOps

Split

While the terms “deploy” and “release” may seem similar, they represent different processes that play crucial roles in the software development lifecycle. Understanding their nuances is essential for streamlining operations and delivering high-quality software to end-users.

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Rollout and Deployment Strategies: Definition, Types and the Role of Feature Flags in Your Deployment Process

AB Tasty

How teams decide to deploy software is an important consideration before starting the software development process. This means long before the code is written and tested, teams need to carefully plan the deployment process of new features and/or updates to ensure it won’t negatively impact the user experience.

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Automating Trunk-Based Development With CI/CD

Split

The usage of a single, common codebase by all developers on a team is emphasized by the software development method known as trunk-based development (TBD). Instead of building feature branches, developers use this method to commit changes straight to the trunk, often known as the main branch.

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Feature Flag Flow: The Key to Sane Feature Flag Management

Split

This means that, without a conscious effort to manage them, the number of flags in the system will grow over time. Each flag increases complexity to a codebase, increases the testing burden, and adds to the cognitive load required to manage feature releases. However, both these strategies have some serious shortcomings.