Product Quick Facts
Datadog, using turn-key integrations seamlessly aggregates metrics and events across the full devops stack, including SaaS and Cloud providers, Automation tools, Monitoring and instrumentation, Source control and bug tracking, Databases and common server components
Users are enabled to monitor, troubleshoot, and optimize application performance with these capabilities: Trace requests from end to end across distributed systems, track app performance with auto-generated service overviews, graph and alert on error rates or latency percentiles (p95, p99, etc.), instrument code using open source tracing libraries. Users can search, filter, and analyze logs for troubleshooting and open-ended data exploration, automatically collecting logs from all services, applications, and platforms.
Datadog offers more than summary dashboards through high-resolution metrics and events for manipulation and graphing. Datadog is built to give visibility across teams, allowing users to discuss issues in-context with production data, annotate changes and notify the team, see who responded to that alert before, remember what was done to fix it. Datadog notifies users of performance problems, whether they affect a single host or a massive cluster. Users can receive alerts on any metric, for a single host or for an entire cluster, get notifications via e-mail, PagerDuty, Slack, and other channels, build complex alerting logic using multiple trigger conditions, and mute all alerts with one click during upgrades and maintenance Datadog includes full API access to bring observability to all apps and infrastructure.
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(Last updated on 04/18/2019 by Pam VanLoon)