Observability
Datadog: the SaaS observability platform at a glance
What Datadog is, its products (infrastructure, logs, APM, RUM, synthetics, security), its concepts (agent, integrations, tags, sites) and how it compares …
Guides & insights
A library for curious minds
Observability
Installing the Datadog agent and configuring integrations
Install the Datadog agent on Linux, Docker and Kubernetes (Datadog Operator), understand datadog.yaml, enable integrations and container autodiscovery, an…
Observability
Metrics and tags in Datadog: unified tagging, DogStatsD and cardinality
Use Datadog metrics: unified tagging (env, service, version), queries and aggregations, custom metrics with DogStatsD, and controlling cardinality and cos…
Observability
Logs in Datadog: collection, pipelines, indexes and volume control
Collect logs with the agent, structure them with pipelines and processors (grok), use facets and queries, and control costs and retention with indexes, ex…
Observability
Datadog APM and OpenTelemetry: traces, services and correlation with logs
Instrument applications for Datadog APM (dd-trace, single step instrumentation, OpenTelemetry), use the service map and traces, and link logs and traces.
Observability
Monitors, SLOs, dashboards and Datadog as code
Create effective monitors (metrics, logs, APM, composites, anomalies), SLOs, dashboards, and manage all Datadog configuration with Terraform to version an…
Observability
Datadog best practices: tags, costs, alerts and governance
Checklist for using Datadog effectively: unified tagging, cost control (hosts, logs, custom metrics, traces), useful alerts, configuration as code and Ope…
Observability
Observability on ClickHouse: why a columnar database changes the game
Why more and more observability platforms store logs, traces and metrics in ClickHouse: columnar storage, compression, SQL, costs, and an overview of the …
Observability
Exploring data in Discover: KQL, Lucene and ES|QL
Search and analyze logs in Kibana Discover: filters, KQL, Lucene syntax, and the ES|QL language to aggregate, compute and enrich data in a single query.
Observability
From click to database: front-end to back-end traces with Faro
Link browser requests to back-end traces: TracingInstrumentation, traceparent header propagation, CORS, and navigating in Grafana from the session to the …
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.
Observability
Dynatrace vs Datadog: the duel of the APM leaders
A complete comparison between the two observability giants: AI-driven automation versus flexibility and rich integrations.
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