Monitoring Your AWS EKS Environment with Datadog
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This document outlines the process of monitoring modern microservices on Kubernetes using Datadog, including deployment, resource provisioning, and integration with AWS. It discusses various monitoring capabilities such as metrics, logs, and traces, with guidance on setting up the Datadog operator and deploying the application. The document also includes resources for further learning and customization of monitoring dashboards.
Monitoring Your AWS EKS Environment with Datadog
- 1. Monitoring Modern Microservices on Kubernetes with Datadog Ryan MacLean Technical Evangelist
- 2. ● Deployment ● Monitoring ● End-to-End Testing We’ll cover
- 3. Intro
- 4. ● Elastic provisioning of resources. ● Uncomplicated Kubernetes Updates. ● Windows and Linux workloads. ● AWS identity and access management. Amazon Elastics Kubernetes Service
- 5. ● Elastic provisioning of resources. ● Uncomplicated Kubernetes Updates. ● Windows and Linux workloads. ● AWS identity and access management. Amazon Elastics Kubernetes Service
- 12. Our operator is now ready to go - three steps to take in order to get it installed and running. Logging, metrics and even tracing supported out of the box numerous codebases and services, with pre-configured dashboards to get you going. Datadog with EKS
- 14. Metrics give you details about the actions taking place within your app service. Logs will surface errors and info about the service and lifecycle events. Traces allow for correlation between services and to examine errors and delays. What to Monitor
- 16. We’re primarily deploying code from the Datadog ecommerce tutorials, but the repo for infrastructure on AWS is a bit different: https://bit.ly/eksinfra https://bit.ly/ddstoredog The Sample Code
- 17. Clone the repo 1 2 3 Make Modifications Perform your first deployment https://bit.ly/eksinfra
- 18. The Website ● Ecommerce application. ● Front-end, back-ends. ● Written in Ruby, JS and Python. ● Git is used to track code changes. https://bit.ly/ddstoredog
- 22. Integrations
- 23. Set up IAM 1 2 3 Add read-only permissions to IAM for Account Add IAM credentials to Datadog https://bit.ly/aws-dd-docs
- 26. 1. Install OLM. 2. Install Operator. 3. Deploy Manifests. Installing the Datadog Operator
- 32. Takes minutes to set up Supports standard configs APM features out of the box Integration Recap
- 33. Dashboards
- 35. ● Monitor Kubernetes Events. ● Track kubelets & containers. ● Check resource usage. ● Visualize network traffic. ● Graph CPU, memory & disk usage. Use the default dashboards to get started
- 44. Logging
- 45. ● Docker Socket ● Kubernetes Log Files Kubernetes Log Ingestion
- 46. Logs Demo
- 48. Drill-Down
- 49. ● Correlate between logs and traces. ● Manual instrumentation possible for customized spans. ● Full distributed APM tracing using automatic instrumentation enabled. Once tracing is set up
- 50. Trace ID Use Trace ID to pivot between events and to drill-down.
- 51. Tracing Demo
- 53. Customization Your first step will be to clone the Kubernetes default dashboard, then add in any additional useful info.
- 54. Clone the default dashboard 1 2 3 Add metrics for AWS dependencies Share it out!
- 59. Conclusion
- 60. Questions?
- 61. Thank you