Observability
Datadog dashboards and notebooks: widgets, template variables and best practices
Design useful Datadog dashboards: widget types, template variables, groups, Powerpacks, formulas, investigation notebooks, sharing and dashboards as code.
Guides & insights
A library for curious minds
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
Accessing the Dynatrace playground and getting started
The Dynatrace playground is a demo environment full of real data: how to access it, what it allows and does not allow, a guided discovery tour (Kubernetes…
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
License consumption types
Understand the evolution of billing in Dynatrace: the difference between the old licensing model segmented by units and the new global DPS (Dynatrace Plat…
Observability
Differences between Technologies and Services in Dynatrace
In Dynatrace, the concepts of 'Technology' and 'Services' help organize and monitor application performance. Here is a detailed explanation of the differe…
Observability
Grail: the Dynatrace data lakehouse and the DQL language
Grail stores all Dynatrace SaaS observability data (logs, metrics, traces, events, entities) without an imposed schema. Buckets and retention, DQL queries…
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