SearchITOperations: "OpenTelemetry aids distributed tracing, Kubernetes monitoring"
The OpenTelemetry project defines a standard set of data collectors that support multiple observability tools, which offers significant advantages for Kubernetes monitoring, early adopters say.
OpenTelemetry: Future-Proofing Your Instrumentation
Guest post originally published on the New Relic blog by John Watson, lead engineer, and Lavanya Chockalingam, senior product marketing manager at New Relic As a developer, you care about the performance of your applications, and you know…
OpenTelemetry best practices (overview part 2/2)
Guest post originally published on the Espagon blog by Ran Ribenzaft, co-founder and CEO at Epsagon In the second article of our OpenTelemetry series, we’ll focus on best practices for using OpenTelemetry, after covering the OpenTelemetry ecosystem and its…
Introduction to OpenTelemetry (Overview Part 1/2)
Guest post originally published on the Epsagon blog by Ran Ribenzaft, co-founder and CEO at Epsagon OpenTelemetry is an exciting new observability ecosystem with a number of leading monitoring companies behind it. It is a provider-agnostic observability solution…
A brief history of OpenTelemetry (So Far)
by Ben Sigelman, co-creator of OpenTracing and member of the OpenTelemetry governing committee, and Morgan McLean, Product Manager for OpenCensus at Google since the project’s inception After many months of planning, discussion, prototyping, more discussion, and…
How cloud native goes AI native
“A sales guy writing code” used to be the lead-up to a joke. But now no one’s laughing. Designers used to sit meekly waiting for the high priests of code to make their designs real. Now…
Distributed tracing for CI pipelines without touching a single workflow file
You’ve probably felt this one: GitHub Actions usage creeps up across your org, and your actual visibility into it doesn’t keep pace. Which workflows are slow? Which are flaky? How long are jobs sitting queued for…
Observability in Kubernetes: From metrics to meaning
Kubernetes made infrastructure more programmable, scalable, and resilient. It also made production systems harder to reason about. Workloads move, replicas churn, dependencies multiply, and a single user request can cross ingress, services, queues, storage, and background…
Building an AI factory on Kubernetes
An AI factory is not just a model or a cluster. It is a pool of GPUs that many teams draw from at once: one team fine-tuning, another serving inference, a third running evaluations, all on…
The lazy developer’s guide to observing your own code
It’s no secret that developers are increasingly being asked to shift left. It seems there’s always something new to shift left on. And now developers are being asked to shift left on observability. This means that…