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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. You can learn how to create a PRD by clicking the link.

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Product Dogfooding in Software Development: A Quick Guide (+Best Practices)

Userpilot

Google uses it to test new versions of its own products, including new operating systems and popular office apps. If your teams have to use the product to solve their own daily problems, they’re more likely to identify issues that may sneak through quality control in a lab environment. Don’t stop there.

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The Evolution of Github: A Revolution in Code Collaboration

The Product Coalition

Source In the expansive universe of software development, few platforms have wielded as much influence and innovation as GitHub. The Origin: A Fun Weekend In 2008 The GitHub saga commenced in 2008 when three men envisioned a platform that would democratize software development and foster collaboration on a global scale.

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Product in Practice: Getting Value Out of In-App Surveys Takes Iteration

Product Talk

The Orion team had previously used the pop-up to showcase a new feature that was available in the app or prompt people to update the version of the app they were using. Mixpanel allowed users to create pop-up notifications to prompt them to update the version of the app they were using or ask them a simple question.

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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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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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Why Machine Learning Solutions are Difficult to Implement without Machine Learning Operations?

The Product Coalition

According to Gartner , 85% of machine learning solutions fail because they use raw data. To solve these problems and reduce deployment time, DevOps development companies involve MLOps specialists in their projects. In this article, we will tell you what MLOps is and why businesses need to implement machine learning solutions.