Operations | Monitoring | ITSM | DevOps | Cloud

Learn how to install and configure the OpenTelemetry Collector for enhanced observability. This guide covers Docker, Kubernetes, and Linux installations with step-by-step instructions and configuration examples.

This is one of a series of blog posts that explain how the Cribl SRE team builds, optimizes, and operates a robust Observability suite using Cribl’s products. If you haven’t, we encourage you to read the previous blog about how the Cribl SRE team uses our own products to achieve scalable observability. We installed Cribl Edge on the machines we manage for our users and use it to gather metrics.

This cheat sheet provides practical guidance for diagnosing issues and understanding trends.

Get a quick overview of Day 1 at PromCon 2024, which featured significant announcements on Prometheus 3.0 and OpenTelemetry compatibility.

A recent question in an SRE forum triggered this train of thought. I've paraphrased the question to reflect its essence. There is plenty to unravel here. My first reaction to this question was that the SRE who posted this is in a difficult place with systemic issues.

Learn about OTLP’s key features, and how it simplifies telemetry data handling, and get practical tips for implementation.

We break down the essentials of streaming aggregation and its impact on modern data processing.

This blog introduces the RED method—an approach that simplifies microservices monitoring by honing in on requests, errors, and latency.

This guide provides an in-depth look at its setup and usage, helping you monitor and manage your Kubernetes clusters more efficiently.

While building our Service Level Objectives (SLO) product, our team at Datadog often needs to consider how error budget and burn rate work in practice. Although error budgets and burn rates are discussed in foundational sources such as Google’s Site Reliability Workbook, for many these terms remain ambiguous. Is an error budget a static quantity or a varying percentage? Does burn rate indicate how fast I’m spending a fixed quantity, or is it just another way to express error rate?