Kubernetes is the de facto leader of container orchestration tools. With the growing popularity of micro-service-based development, Kubernetes emerged as the go-to tool to deploy and manage large-scale enterprise applications. However, with the plethora of features offered by Kubernetes, it is a complex tool to manage and operate. This article will focus on how to configure Kubernetes Audit Logs so that you can have the records of events happening in your cluster.

Data is becoming increasingly essential to businesses globally, allowing for insights to be gathered around critical processes and operations. Over time, the traditional systems put in place to hold our data have become unsuitable for modern-day needs due to the continuous growth of data. Edge computing has emerged to reshape the current computing environment and allow data to be processed closer to where it’s being generated.

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.

Kubernetes monitoring is complicated. Knowing metrics on cluster health, identifying issues, and figuring out how to remediate problems are common obstacles organizations face, making it difficult to fully realize the benefits and value of their Kubernetes deployment. Understanding how to best approach monitoring Kubernetes health and performance requires first knowing why Kubernetes observability is uniquely challenging.

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.