Automation
Terraform: principles, architecture and workflow
Understand Terraform: declarative infrastructure as code, architecture (core, providers, state), the init, plan, apply and destroy workflow, the dependenc…
Guides & insights
A library for curious minds
Observability
Workflows and AutomationEngine: automating notifications and remediation
Automate with Dynatrace Workflows (AutomationEngine): event-based, scheduled and on-demand triggers, DQL, JavaScript and HTTP tasks, Slack, Teams, Jira, S…
Observability
Incidents and automation with Datadog: On-Call, Incident Management and Workflow Automation
Manage incidents in Datadog: well-designed monitors, on-call with On-Call, declaring and tracking incidents, Workflow Automation for remediation, and post…
Automation
Preparing for the HashiCorp Certified: Terraform Associate certification
Preparation guide for the Terraform Associate: format, official objectives (IaC concepts, workflow, state, modules, HCP Terraform), commands to master, st…
DevOps
End-to-end CI/CD (5/5): GitHub Actions, GitLab CI, Jenkins and Argo CD in practice
Compare and use CI/CD tools: GitHub Actions, GitLab CI, Jenkins, Argo CD and Flux; a complete pipeline from commit to production, reusable workflows, runn…
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
Problem management in Dynatrace: Davis, the problem page, notifications and auto-remediation
Understand the problems detected by Davis, read a problem page (root cause, impact, timeline), configure alerting profiles and notifications, automate rem…
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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