Observability
Explore Business Events in Dynatrace
The entry point to understand, explore and use business events.
Guides & insights
A library for curious minds
Observability
OpenTelemetry traces in depth: spans, status, events, links and sampling
Master the trace signal: anatomy of a distributed trace, span and SpanKind, attributes, status and exceptions, events, links, span processors, head and ta…
Observability
Advanced Dynatrace alerting: metric events, alerting profiles and notifications
Build useful Dynatrace alerting: metric events and anomaly detectors, Davis events, alerting profiles, notification integrations, workflows, maintenance w…
Observability
Business observability with Dynatrace: business events, KPIs and Business Flow
Link technical and business in Dynatrace: business events (bizevents) captured by OneAgent, API or RUM, DQL analyses, business indicators, the Business Fl…
Observability
Release monitoring in Dynatrace: versions, deployment events and issue tracking
Track deployed versions in Dynatrace: DT_RELEASE variables, Kubernetes labels, deployment events via the API, CI/CD integration and automatic ticket creat…
Observability
DQL in practice: exploring logs and events, notebooks, dashboards and performance
Use the Dynatrace Query Language day to day: explore logs and events, chain commands, parse fields, create time series, share in notebooks and dashboards,…
Observability
Faro: JavaScript errors, logs, business events and sessions
Use the Faro API: automatic error capture, manual error reporting, logs, business events and measurements, session and user identification, and source map…
Observability
Vector: transforms in detail (remap and VRL, route, filter, reduction and metrics)
Transform events in Vector: remap and the VRL language (parsing, enrichment, error handling), route, filter, sample, dedupe, reduce, throttle, log_to_metr…
Observability
Vector: sinks in detail (destinations, batches, buffers and retries)
Send Vector events: Loki, Elasticsearch, S3, Kafka, OpenTelemetry, Prometheus, Datadog, HTTP and vector sinks; encoding, batches, compression, memory and …
Observability
Logs with OpenTelemetry: data model, appenders, correlation and collection
Master the log signal: the LogRecord data model, the Logs Bridge API and appenders (Logback, Log4j, Python logging), automatic correlation with trace_id a…
Observability
Data retention in Dynatrace: Grail, buckets and durations by data type
Understand how long Dynatrace keeps logs, traces, metrics, sessions and events, manage retention with Grail buckets, and balance costs, compliance and ana…
Observability
Using Faro data: queries, dashboards, alerts and GDPR
Query Faro data in Loki (Web Vitals, errors, events), build dashboards and alerts, and comply with GDPR: consent, minimization, sampling.
Learning never stops