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Datadog Log Management lets you send and process every log produced by your applications and infrastructure. You can observe your logs in real-time using the Live Tail, without indexing them. You can ingest all of the logs from your applications and infrastructure, decide what to index dynamically with filters, and then store them in an archive.
Datadog Application Performance Monitoring (APM or tracing) provides you with deep insight into your application’s performance—from automatically generated dashboards for monitoring key metrics, like request volume and latency, to detailed traces of individual requests—side by side with your logs and infrastructure monitoring. When a request is made to an application, Datadog can see the traces across a distributed system, and show you systematic data about precisely what is happening to this request.
The Host Map can be found under the Infrastructure menu. It offers the ability to:
To learn more about the Host Map, visit the Host Map dedicated documentation page.
The Event Stream is based on the same conventions as a blog:
For each incident, users can:
@support-datadogto ask for assistance
Dashboards contain graphs with real-time performance metrics.
Monitors provide alerts and notifications based on metric thresholds, integration availability, network endpoints, and more.
@in alert messages to direct notifications to the right people
Datadog Network Performance Monitoring (NPM) gives you visibility into your network traffic across any tagged object in Datadog: from containers to hosts, services, and availability zones. Group by anything—from datacenters to teams to individual containers. Use tags to filter traffic by source and destination. The filters then aggregate into flows, each showing traffic between one source and one destination, through a customizable network page and network map. Each flow contains network metrics such as throughput, bandwidth, retransmit count, and source/destination information down to the IP, port, and PID levels. It then reports key metrics such as traffic volume and TCP retransmits.
Datadog Real User Monitoring (RUM) enables you to visualize and analyze the real-time activities and experiences of individual users to prioritize engineering work on the features with the highest business impact. You can visualize load times, frontend errors, and page dependencies, and then correlate business and application metrics so that you can troubleshoot quickly with application, infrastructure, and business metrics in a single dashboard.
Serverless lets you write event-driven code and upload it to a cloud provider, which manages all of the underlying compute resources. Datadog Serverless brings together metrics, traces, and logs from your AWS Lambda functions running serverless applications into one view, so that you can optimize performance by filtering to functions that are generating errors, high latency, or cold starts.
Datadog Security Monitoring automatically detects threats to your application or infrastructure. For example, a targeted attack, an IP communicating with your systems matching a threat intel list, or an insecure configuration. These threats are surfaced in Datadog as Security Signals and can be correlated and triaged in the Security Explorer.
Additional helpful documentation, links, and articles: