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.

In recent years, artificial intelligence (AI) has ceased to be a mere technological trend and has established itself as a foundational element shaping the future of Software as a Service (SaaS) and cloud-based software solutions. By 2025, AI's integration into these domains will not just enhance existing functionalities but redefine what is possible in ways we’re only beginning to comprehend.

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.

Logs play a critical role in monitoring your applications and systems in terms of health, system behavior, and problem diagnosis. However, logs can assuredly bring value only if they are structured and well-formatted. Effective log formatting can help identify an issue to fix on time rather than having to sift through unorganized, hard-to-read logs. In this blog, we delve into 7 super-effective practices for production logging to help you maximize your log analysis capabilities.

In today’s complex environments such as cloud-native technologies, containers, and microservices-based architectures, reliable log monitoring is crucial for keeping your systems secure and resilient. Continuous monitoring enables organizations to stay in-control, providing proactive insights into system health and performance. With platforms like AWS, GCP, and Azure churning out massive amounts of logs, it’s easy to get overwhelmed.

In an age where every second counts, the swift resolution of IT incidents can mean the difference between maintaining business continuity and enduring significant operational setbacks. As businesses increasingly embrace digitalization, the complexity and volume of incidents rise exponentially. This new reality calls for innovative approaches to incident management—ones that can manage the unpredictability, scale, and urgency of modern IT ecosystems. Enter artificial intelligence (AI).

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.

As the technology landscape continues to evolve, so do the methods by which organizations ensure optimal service delivery. Service Level Objectives (SLOs) have emerged as one of the most critical metrics in DevOps and Site Reliability Engineering (SRE), acting as a bridge between reliability and performance. SLOs reflect the target reliability of a service from the perspective of the user, providing measurable standards to maintain quality.

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.

Incident management isn't just a buzzword—it's critical to keeping operations running smoothly. When systems fail, the ripple effects can be costly. For enterprises, maintaining service continuity and keeping customers satisfied depends on quick, efficient incident responses. That's where tools like Jira Service Management (JSM) and ServiceNow come in.

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.

The interconnectedness of today's business environment has significantly heightened the complexity of incident response (IR). The need for immediate action, precise communication, and real-time collaboration is more critical than ever. However, beyond the technical precision required in solving problems, there lies an often overlooked aspect of effective IR management: the etiquette of incident response calls.

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.

One of the biggest challenges for some of our customers was allowing non-engineering teams, such as Support, Sales, or Sustomer Success teams, to raise incidents for specific Dev/Infra/Security/Ops teams on Zenduty in a structured and efficient manner as soon as a customer reports an issue. In many organizations, we observed that non-technical team members often needed to switch between platforms, fill out complex forms, or reach out to multiple stakeholders manually to ensure that an issue is escalated.

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.

Are you tired of dealing with unexpected system crashes and the chaos they bring? You're not alone. For enterprise SREs, DevOps, and IT Operations teams, mastering incident management goes beyond just fixing problems; it’s about preventing them. According to a recent report, incident volume within enterprise companies rose by 16% during 2023, highlighting the growing complexity and risk in digital operations. This underscores the urgent need for robust incident management solutions.

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.