Datadog Implementation & Integration on AWS

Gain end‑to‑end visibility into every AWS workload—from microservices to serverless—so you can detect issues sooner, resolve incidents faster, and optimize costs. Our accelerator unlocks Datadog’s full power, turning siloed metrics, logs, and traces into a single source of operational truth that drives uptime and customer satisfaction.

Leveraging years of enterprise experience, we integrate Datadog via Infrastructure‑as‑Code, secure API key rotation, automated resource tagging, and multi‑account federation. Agents are deployed on EKS, ECS/Fargate, EC2, and Lambda, with centralized log pipelines and distributed tracing enabled out of the box. We apply AWS Well‑Architected and Datadog best practices to deliver secure, scalable, and compliant observability.

What Customers Get

• Baseline assessment of AWS architecture & KPIs
• IaC scripts to provision log shippers, metric forwarders, and archival storage
• Datadog account setup with RBAC and AWS integration
• Agent deployment for EKS, ECS, EC2, Lambda, API Gateway, DynamoDB
• Custom dashboards (including some high level opinionated dashboard template), monitors, and alert routing (Slack, Jira, etc.)
• Workshops, best‑practice guides, and knowledge transfer
• Cost‑saving recommendations and continuous‑improvement roadmap

Approach & Steps

• Discovery & Planning: Identify metrics, logs, and tracing requirements
• Design & IaC Preparation: Build secure integration architecture
• Implementation: Deploy Datadog Agents and centralized pipelines
• Configuration: Create dashboards, monitors, and incident hooks
• Validation & PoC: Stress‑test visibility, alerting, and cost baselines
• Handover: Deliver documentation, training, and next‑phase scaling plan