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.

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

9. Deployment Demo
https://bit.ly/eksinfra

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

13. MetricsTracesLogs
Monitoring Kubernetes Services

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

15. Get Started Quickly

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

24. Kubernetes Operator
Docs:
https://bit.ly/k8soperator
Blog Post:
https://www.datadoghq.com/blog/datadog-operator

26. 1. Install OLM.
2. Install Operator.
3. Deploy Manifests.
Installing the
Datadog
Operator

27. Operator install demo
https://bit.ly/k8soperator

29. Helm install demo
https://bit.ly/dd-helm

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!

55. Dashboard Demo
https://bit.ly/eksdashboard

57. Docs: bit.ly/k8soperator
Repo: bit.ly/eksinfra
Next Steps

59. Conclusion

60. Questions?

61. Thank you