AWS Observability as Code: Leveraging Datadog
summary
Claims that AWS observability is repeatable as code using Datadog and Terraform, with concrete examples: centralized Datadog integrations, log filtering to cut cost, synthetic monitors that mimic user journeys, and SLOs pushed through CI/CD. Presents numbers—66% use 2–5 tools and 24% had SLA breaches—to motivate unified tooling. Shows folder structure, Terraform snippets, automated account and maintenances window creation, and recommends versioning, modularization, secrets in Secrets Manager and Terraform + Datadog integrations.
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chapters (12)
- 0:00intro
- 0:14key stats
- 1:11speaker introduction and presentation overview
- 2:57challenges in modern observability
- 5:21fundamentals of observability
- 6:53platform engineering and unified observability
- 9:16leveraging datadog for observability
- 12:28implementing observability as code
- 14:36benefits and best practices
- 16:15terraform and datadog integration
- 18:40advanced observability techniques
- 33:12conclusion and final thoughts
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