Based on a micro survey conducted by CNCF, among the 253 survey participants, 70% have deployed or are presently utilizing a service mesh in production or development settings. Moreover, 19% of the respondents are currently in the evaluation phase of a service mesh solution.

This blog explores the usage of Google Test, an open-source C++ unit test framework. Learn how to build and integrate the framework, write test cases, and leverage its features for efficient testing.

In today’s world, monitoring is an essential part of DevOps, which is required for any cloud solution to run smoothly without interruption on automation designs where authentication is done using service principals. For applications running on Azure, Microsoft Identity Platform is commonly configured for this purpose.

The SSDLC provides a framework for developing secure software by incorporating security practices from the start of the project or SDLC. It involves identifying security issues earlier in the development life cycle, which can reduce the total cost of apps. The activities involved in each phase of the SSDLC include requirement gathering, design, implementation, testing, and deployment.

Several important Agile Scrum Metrics, including Sprint Burndown Reports, Team Velocity, Epic & Release Burndown, Escape Defects, and Actual vs Completed Story Points, help monitor project progress, identify, and resolve issues early, and enable the completion of project milestones within the defined time frame. By incorporating Agile Scrum and these metrics, companies can achieve continuous improvement and gain the trust of their customers.

DevOps aims to shorten the development life cycle and provide continuous delivery and deployment of high-quality software. It was invented to address the slow and inefficient processes of traditional software development, where development and operations worked in silos and had limited collaboration. DevOps aims to boost the speed, reliability, and quality of software delivery.

Many organizations are looking at microservices architecture, rather than building large monolithic applications, and then

As more and more organizations realize the potential benefits of moving their infrastructure to the

The increased integrations, connected devices and sensors in the IoT ecosystem increases difficulties in testing its interoperability, scalability and functioning. Utilizing DevOps technologies and tools in IoT testing can be an effective strategy to increase the coverage and improve the uptime with continuous monitoring. Read on to find out how.