agent
Welcome to the Datadog Mastery series—a collection of hands-on tutorials designed to guide you from your first Agent installation to advanced monitoring strategies. Whether you’re new to Datadog or looking to deepen your expertise, these videos and blog posts will give you practical knowledge and pro tips to
kubernetes
Kubernetes is a powerful tool that delivers incredible benefits, including improved reliability, scalability, and significant cost savings. However, despite its widespread adoption—often through managed services—many users fail to fully grasp the responsibility it places on them. While reliability is always top of mind, achieving it in a cost-effective
agent
Let’s start with the basics—what exactly is OpenMetrics? Think of it as the Esperanto of monitoring data: a standardized, plain-text way of exposing metrics so that tools like Datadog can speak the same language across the board. It’s readable by humans and parsable by machines, supporting everything
datadog
You’ve spent time learning how to configure great monitors in Datadog—from tagging correctly to reducing alert fatigue. But how do you know if your team is consistently applying those best practices? Today, we’re launching a free Monitor Analyzer that does exactly that. It instantly checks your Datadog
apm
In the fast-paced world of digital media, creating high-quality video content has become increasingly vital. Yet, many enterprises overlook a critical factor—effective distribution and discoverability. Although platforms like YouTube, Instagram, and TikTok have revolutionized content dissemination for public use, very few solutions are providing a integrated approach to enterprise
correlation
Reliable systems start with effective monitoring—but without careful configuration, monitors can easily generate noise instead of insights. As infrastructure scales, it's crucial that alerts distinguish real problems from transient issues. In this guide, we’ll walk through best practices for configuring Datadog monitors that prioritize meaningful signals
agent
Keeping API keys, passwords, and other credentials out of plaintext configuration is essential for security. The Datadog Agent provides a secrets management mechanism to handle sensitive data both in standalone installations and in Kubernetes environments. In this deep dive, we’ll explore how Datadog Agent’s secret handling works, best
agent
Migrating a Datadog organization is a complex but necessary process when consolidating accounts, restructuring teams, or implementing new security and compliance strategies. This guide walks you through the key aspects of Datadog org migration, covering asset migration, challenges with telemetry history, strategies for sharing metrics, forwarding logs, and best practices
datadog
AWS is a leading cloud provider, and one of its key offerings is its serverless computing stack, which allows users to deploy applications without worrying about maintenance. Serverless is particularly cost-efficient for low-scale projects, making it an attractive choice for many businesses. Datadog provides deep integration with AWS serverless technologies,
usage_optimization
To achieve a comprehensive monitoring setup for your infrastructure, it’s essential to integrate cloud provider data into Datadog. Datadog supports integrations with major cloud providers, allowing you to streamline monitoring, optimize costs, and ensure a unified view of your system’s health. This guide will take you through the
tagging
Why Data Correlation Matters in Crisis Management In times of crisis, your ability to quickly connect the dots between various data points can be the difference between identifying a root cause swiftly or getting lost in an overwhelming sea of metrics. When investigating an incident, such as a CPU spike,
datadog
For large enterprises starting their journey with Datadog, a fundamental question often emerges: How should you structure your monitoring solution? Specifically, should you organize everything into a single organization or adopt a multi-organization approach? This decision is not merely technical—it can have far-reaching implications for observability, governance, cost allocation,