Welcome to the second edition of Open Source Matters: our regular publication about the latest happenings in open source! Let’s dive into the news.
Kubernetes workloads are highly dynamic, ephemeral, and are deployed on a distributed and agile infrastructure. Application developers, DevOps teams, and site reliability engineers (SREs) often require better visibility of their different microservices, what their dependencies are, how they are interconnected, and which other clients and applications access them. This makes Kubernetes observability challenges unique.
When we hear the term ‘embedded analytics’, most people think of business intelligence. The concept of embedded analytics refers to the integration of analytic content and capabilities within a business process application. The business benefits of embedding analytics into a business process include increased visibility, more effective strategic planning and accelerated time to value.