Setting and tracking appropriate target metrics are an important part of a product manager’s job. Goals must be defined, not just as inspiring vision statements, but also as quantifiable targets that can be objectively measured. Metrics can be deployed in different contexts and for purposes; however, useful metrics in one scenario can be misleading in regards to another. The problem comes when you’re not clear about what kind of metric you’re trying to set.

Ever wondered how software development teams can efficiently tackle the complexities of modern development challenges? The answer lies in the Internal Developer Platforms (IDPs), a powerhouse of tools and capabilities for development and deployment. These platforms provide a comprehensive ecosystem for development and deployment, integrating key functionalities such as version control, CI/CD pipelines, container orchestration, and automated testing.

Storage and container management systems are almost polar opposites of each other. One deals with permanently storing, and protecting data for as long as it’s needed. The other automatically manages highly dynamic workloads, scaling resources up and down as required. More organisations are taking a container-first approach to application deployment and management, but the underlying challenge of safely and securely storing data still remains the same.

Kubernetes offers unparalleled flexibility and scalability for containerized orchestration. However, this dynamism can also lead to unexpected costs if you don’t efficiently manage your corresponding cloud resources. In this blog, we’ll outline a series of best practices for Kubernetes cost optimization that will help you keep your infrastructure running smoothly while staying within your budget.

As Kubernetes continues to dominate the container orchestration landscape, ensuring the reliability and stability of applications running on this platform is paramount. Testing in a Kubernetes-native environment demands specialized tools that understand the intricacies of containerized deployments. Enter TestKube, a powerful testing framework designed specifically for Kubernetes.

While Kubernetes revolutionized distributed orchestration, it also added complexity to logging and monitoring. To keep up with the challenges of working with Kubernetes clusters, you need to adapt your monitoring strategy. This includes changing the tools you use. To help keep your Kubernetes environment healthy, we made a list of the best Kubernetes monitoring tools. This list includes both open-source and commercial.