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datadog
Want to catch issues before your users do? Synthetic monitoring lets you proactively test your applications—before, during, and after deployments. In this guide, we’ll show you how to set up and run synthetic API and browser tests in Datadog, the key features to take advantage of, and cost-effective
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
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
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
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,