Science Applications International Corporation (SAIC), a major system integrator and solution provider to government agencies, chose the D2iQ Kubernetes Platform (DKP) as the foundation for providing Kubernetes solutions for its customers.

Properly testing a service’s APIs to ensure that it can handle production traffic presents many challenges for engineers—SREs need to guarantee the resiliency of their application, while developers must ensure that their features perform well at any given scale. Speedscale is a testing framework built for Kubernetes applications that enables you to load test with real-world production scenarios by replaying actual API traffic that your application has experienced.

The trend of Platform Engineering is now gaining momentum, which analysts and industry experts refer to as one of the most disruptive philosophies of the moment. But regardless of experts’ predictions and assumptions, what matters for organizations today is understanding what adopting an approach such as Platform Engineering actually entails, what a successful solution looks like, and how to adopt best practices for its implementation. That's what this article is about.

There is a common painful workflow with many observability solutions. Each data type is separated into its own user interface, creating a disjointed workflow that increases cognitive load and slows down Mean Time to Diagnose (MTTD). At Coralogix, we aim to give our customers the maximum possible insights for the minimum possible effort. We’ve expanded our APM features (see documentation) to provide deep, contextual insights into applications – but we’ve done something different.

Observability in serverless computing environments, such as AWS Lambda, has always been a challenge.