An AI-powered agent that creates dashboards, configures alerts, educates your team, and optimizes your entire Datadog environment.
Describe what you want to monitor and the agent discovers your metrics, builds widgets, and assembles production-ready Datadog dashboards.
The agent analyzes your services, identifies monitoring gaps, and configures Datadog monitors with the right thresholds, notification channels, and escalation paths.
system.mem.used metrics are gauges. They show the current state.trace.http.request.hits is submitted as a rate. Useful for throughput.aws.elb.request_count is a count. Aggregates with sum, not avg.
.as_rate() when you want per-second normalization—great for comparing intervals of different lengths..as_count() for raw totals, like "how many errors in the last 5 minutes." Your error rate alert already uses this correctly.
The agent understands your environment and teaches Datadog concepts using your own metrics, services, and configurations as examples.
The agent audits your Datadog setup and delivers targeted recommendations to improve performance, reduce costs, and close monitoring gaps.
The agent continuously audits your Datadog environment to eliminate waste, right-size configurations, and keep costs predictable.
Let Omlet Agent handle the complexity of Datadog so your team can focus on building.