Operations | Monitoring | ITSM | DevOps | Cloud

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.

Our developer’s guide breaks down Prometheus Query Language in an easy-to-understand way, helping you monitor and analyze your metrics like a pro.

We cover everything from initial setup to practical tips for monitoring and improving your fasthttp applications. Follow along to enhance your observability and get a clearer view of your app’s performance.

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?

New to Prometheus? My PromQL beginner's guide teaches you how to write queries, understand data types, and use key functions.

Master log collection in Kubernetes with OpenTelemetry's filelog receiver. Learn to configure, optimize, and troubleshoot log collection from various sources including syslog and application logs. Discover advanced parser operator techniques for robust observability.

Learn to enable hot reload for the OpenTelemetry Collector to update configurations on the fly, improving your observability system's agility.