May 9 · 2 min read · Last year our Datadog bill hit $38k/month. Leadership asked me to cut it in half. Here's how we got to $15k without losing a single useful signal. The 5 moves that worked 1. Dropped custom metrics with zero dashboard references. We had 2,400 custom m...
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Mar 24 · 5 min read · The Datadog MCP server gives AI agents direct access to your Datadog platform — logs, metrics, traces, dashboards, monitors, incidents, hosts, services, events, notebooks, and more. Everything your team sees in the Datadog web UI, your agent can now ...
Join discussionMar 3 · 11 min read · Log Management Tools: ELK Stack, Loki, and Cloud Alternatives Logs are the most expensive part of most observability stacks. Not because the tools are expensive (though they can be), but because logs are verbose by nature. Every HTTP request, every d...
Join discussionFeb 12 · 7 min read · Why Traditional DataDog Deployments Fail at Scale Legacy monitoring approaches relied on static infrastructure where servers had predictable lifecycles and consistent hostnames. In 2025, infrastructure is fundamentally different. Container orchestrat...
Join discussionFeb 12 · 5 min read · Datadog RUM: Real User Monitoring for Web Apps The Performance Bug That Cost Us 40% of Users Our app was fast on our MacBooks. Users disagreed. Here's what we learned. Table of Contents Why Performance Matters Measuring What Matters 5 Optimization S...
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