Operations | Monitoring | ITSM | DevOps | Cloud

Most IT project management frameworks are directed at single-focus teams like software development, not multi-focus teams like SRE.

This guide breaks down how recording rules can help, with simple tips to improve performance and manage complex data.

Tail latency significantly impacts large-scale systems. This blog covers its importance, contributing factors, and effective reduction strategies.

In this guide, we’ll walk you through the Prometheus rate function. You’ll discover how to analyze changes over time and use that information to enhance your monitoring strategy.

SRE, DevOps and Platform Engineering are important concepts in today's world of software development. There are dedicated teams to manage these areas, each with a unique primary focus, set of responsibilities, tools and metrics used to gauge their performance requirements. This article explains SRE, DevOps, and Platform Engineering, including similarities and differences, and, most importantly, how these teams help streamline modern software development, delivery, and maintenance processes.

This guide explains the key aspects of the OpenTelemetry Collector, including its features, use cases, and practical tips for managing telemetry data effectively.

A definitive guide on adding cluster label to all Kubernetes metrics.

The best DevOps and SRE teams have shifted their approach to monitoring and logging their systems. These teams debug problems cohesively and rationally, regardless of the system’s complexity. Gone are the days of having a slew of logs that fail to explain the cause of alerts, system failures, and other unknowns.

This guide shows you how to easily use Jaeger with OpenTelemetry for improved tracing and application monitoring.

What are the alternatives to Prometheus? A guide to comparing different Prometheus Alternatives.

How to identify root spans in OpenTelemetry Collector using filter and transform processors.

Master Prometheus remote write optimization. Learn queue tuning, cardinality management, and relabeling strategies to scale your monitoring infrastructure efficiently.

As technology evolves, so do the roles and strategies that drive software development and infrastructure management. One of the most significant shifts we’ve seen in recent years is the move from Site Reliability Engineering (SRE) to platform engineering. This change is reshaping how companies operate, from scaling their infrastructure to improving the developer experience.

Catch up on Day 2 of PromCon 2024. Read about the key talks and takeaways from the second day of this exciting event.

Check out these 10 tools that are making a real difference in how teams build, manage, and scale their platforms in 2024.

Our blog covers practical insights into Golang logging, including how to use the log package, popular third-party libraries, and tips for structured logging.

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?

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.

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.