Articles, tutorials, videos and tools to perform software in a DevOps context like testing in production, continuous delivery, etc.
In today’s fast-paced and competitive business landscape, enterprises must ensure their software applications are reliable, scalable, and performant. A robust enterprise testing strategy is crucial to achieving these goals, ensuring that software meets quality standards before it reaches end-users. This article explores the key components of an effective enterprise testing strategy, the benefits of implementing such a strategy, and best practices for maintaining it.
In DevOps, the rush to deploy code quickly and efficiently can cause security concerns to be relegated to the bottom of the list of priorities. This oversight can lead to serious vulnerabilities that expose your systems and data to various threats.
This session concentrates on the strengths of Jenkins and how they can be leveraged to configure and maintain dozens of projects while still keeping each of the pipelines simple and handy for the daily use of the developers.
We are aware of the continuous monitoring of various data intensive systems and services across cloud platforms and on-premise settings. However, when it comes to continuous monitoring in alignment with continuous software testing in a DevOps context of visually heavy live-streaming applications, we are left with the fewer options especially in the open source space.
In the fast-paced world of software development, being able to release software quickly is a crucial advantage in staying competitive. Agile organizations recognize that shorter release cycles can result in satisfied customers, faster innovation, and a more efficient development process.
A delivery pipeline is a set of automated processes that allow developers and DevOps professionals to efficiently compile, build, test and deploy their code to their production platforms. It most common components of a pipeline are build automation/continuous integration, test automation and deploy automation.
This talk discusses various advances in program analysis technology that enable a larger class of bugs to be detected earlier in software development projects (and even to be automatically fixed in some cases). It focuses particularly on recent developments that enable tight integration of program analysis tools into DevOps processes.
