The primary goal of OpenTelemetry (OTEL) is to offer vendor-neutral ways of application instrumentation such that customers are able to switch between Telemetry backends. There are three main components of OpenTelemetry: OpenTelemetry SDK, OpenTelemetry API, and OpenTelemetry Collector. In this blog, we will be covering the architecture, deployment, and best practices of consuming an OTEL collector.

Real talk – logging tools aren’t exactly known for being easy to use, manage, or onboard. With the technology landscape continuously evolving, enterprises are often left scrambling to rapidly adapt and conform to new requirements of operating across hybrid infrastructures. It is in these ecosystems that logs are now more crucial than ever in the day-to-day operations of Ops teams.

The growing importance of technology in business success has forced practically all companies to hire competent, experienced IT professionals. As technology ecosystems become increasingly complex, organizations need a broader range of professionals to focus on tasks like product development, troubleshooting, and customer services. SRE and DevOps have emerged as two of the most critical approaches to success.

Kubernetes pods are the smallest deployable units in the Kubernetes platform. Each pod signals a single running process within the system and functions from a node or worker machine within Kubernetes, which may take on a virtual or physical form. Occasionally, Kubernetes pod disruptions may occur within a system, either from voluntary or involuntary causes.

The evolution of machine data and logging in general has shifted multiple times over the last couple of decades. The log began with Unix and was rooted in command line actions like tail or grep. It evolved from system-based logs to application-based logs and eventually became more UI-friendly and readable. Not only has the log itself evolved, but the purpose of the log and audience for the log has morphed over time as well.