Dynatrace
- Dynatrace architecture: OneAgent, Activegate, Dynatrace SaaS/Managed
- OneAgent deployment: host, Kubernetes, Docker — automatic instrumentation
- Smartscape: automatic topology discovery and service dependency map
- Davis AI: automatic anomaly detection, root cause analysis, problem cards
- Metrics: built-in host and service metrics, custom metrics via API
- Distributed traces: PurePath technology — end-to-end traces with database and external calls
- Dashboards: charting, USQL queries, synthetic monitoring integration
- SLO management: defining and tracking SLOs in Dynatrace
- DQL (Dynatrace Query Language): log querying and metric analysis
- Alerting: problem notifications, Alerting Profiles, integrations
Datadog
- Datadog architecture: Agent, DogStatsD, API and client libraries
- Agent installation: host, Docker, Kubernetes DaemonSet
- APM: service map, flame graphs, trace search, error tracking
- Log management: log pipelines, parsing, facets, live tail
- Metrics: infrastructure metrics, custom metrics, metric types
- Dashboards: widgets, template variables, notebook collaboration
- Monitors: metric, log, APM, composite — threshold vs anomaly vs forecast
- Notification channels: PagerDuty, Slack, webhooks
- SLOs: target and error budget tracking
- Synthetics: browser tests, API tests, multistep API tests
- Datadog vs Dynatrace: when to choose which
Teams who can get full observability value from their commercial platform — instrumented correctly, dashboards that matter, and alerts that fire when they should and are silent when they shouldn't.
- Deploy Dynatrace OneAgent or Datadog Agent across infrastructure and Kubernetes
- Instrument applications for APM traces and custom metrics
- Build operational dashboards and set up meaningful alert conditions
- Configure SLO tracking and act on error budget burn rates
Book the Dynatrace & Datadog training
Can be delivered as a combined comparison session or as a focused single-platform deep-dive.
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