This document summarizes Amazon CodeCatalyst and DevOps Guru, which help revolutionize the DevOps lifecycle. Amazon CodeCatalyst allows developers to create serverless projects that include code, development environments, CI/CD pipelines, and issue/report tracking. DevOps Guru uses machine learning to detect operational issues in services like DynamoDB, API Gateway, and Lambda by analyzing metrics to find anomalies and reduce human intervention. It provides both reactive insights for existing issues and proactive insights to predict future problems.

1. Revolutionize DevOps lifecycle with Amazon
CodeCatalyst and DevOps Guru
Vadym Kazulkin, ip.labs, 1 November 2023

2. Contact
Vadym Kazulkin
ip.labs GmbH Bonn, Germany
Co-Organizer of the Java User Group Bonn
v.kazulkin@gmail.com
@VKazulkin
https://dev.to/vkazulkin
https://github.com/Vadym79/
https://www.linkedin.com/in/vadymkazulkin
https://www.iplabs.de/

3. ip.labs
https://www.iplabs.de/

4. DevOps Lifecycle

5. DevOps Lifecycle
https://www.browserstack.com/guide/devops-lifecycle

6. DevSecOps Lifecycle
https://www.browserstack.com/guide/devops-lifecycle

7. Focus on Business Value

8. Amazon CodeCatalyst

9. DevOps Lifecycle
https://www.browserstack.com/guide/devops-lifecycle

10. How CodeCatalyst work
https://aws.amazon.com/codecatalyst/

11. Create Space
https://codecatalyst.aws/

12. Create Project

13. Create Project

14. Create Serverless RESTful blueprint Project

15. Create Serverless RESTful blueprint Project

16. Create Serverless RESTful blueprint Project

17. Create Serverless RESTful blueprint Project

18. Create Serverless RESTful blueprint Project

19. Serverless RESTful Project Code

20. Serverless RESTful Project Code

21. Serverless RESTful Project Dev Environment

22. Serverless RESTful Project Dev Environment

23. Serverless RESTful Project Dev Environment

24. Serverless RESTful Project Dev Environment

25. Serverless RESTful Project CI/CD

26. Serverless RESTful Project Workflows

27. Serverless RESTful Project Workflows

28. Serverless RESTful Project Workflows

29. Serverless RESTful Project Workflows

30. Serverless RESTful Project Issues

31. Serverless RESTful Project Issues

32. Serverless RESTful Project Reports

33. Serverless RESTful Project Reports

34. Serverless RESTful Project Test Coverage

35. Serverless RESTful Project Code Coverage

36. Space Plugins

37. Space GitHub Plugin

38. DevOps Lifecycle
https://www.browserstack.com/guide/devops-lifecycle

39. Amazon DevOps Guru

40. DevOps Lifecycle
https://www.browserstack.com/guide/devops-lifecycle

41. AIOPs
Artificial Intelligence for IT Operations (AIOps) is the process of using machine
learning techniques to solve operational problems. The goal of AIOps is to
reduce human intervention in the IT operations processes.
By using advanced machine learning techniques, you can reduce operational
incidents and increase service quality. AIOps can help you with:
• Increase service quality
• for example, by grouping related incidents based on time and language
or by predicting Knowledge Base articles to solve an incident
• Predict incidents before they happen
• Classify new incidents and insights

42. What is AWS DevOps Guru
Amazon DevOps Guru offers a fully managed AIOps platform powered by
machine learning (ML) that is designed to make it easy to improve an
application’s operational performance and availability
DevOps Guru helps detect behaviors that deviate from normal operating
patterns so you can identify operational issues long before they impact
your customers
• increased latency
• error rates (timeouts, throttles, CPU, memory and, disk utilization)
• resource constraints (exceeding AWS account limits)
https://aws.amazon.com/devops-guru

43. Benefits of DevOps Guru
https://aws.amazon.com/devops-guru

44. How DevOps Guru work
https://aws.amazon.com/devops-guru

45. DevOps Guru is powered by pre-trained
ML models
https://aws.amazon.com/blogs/machine-learning/amazon-devops-guru-is-powered-by-pre-trained-ml-models-that-encode-operational-excellence/
• Built domain-specific, single-purpose models to identify known failure
modes instead of normal metric behavior.
• DevOps Guru relies on a large ensemble of detectors—statistical models
tuned to detect common adverse scenarios in a variety of operational
metrics.
• DevOps Guru detectors don’t need to be trained or configured. They
work instantly as long as enough history is available.
• Individual detectors work in preconfigured ensembles to generate anomalies
on some of the most important metrics operators monitor: error rates,
availability, latency, incoming request rates, CPU, memory, and disk utilization,
among others.

46. DevOps Guru Example Application
https://github.com/Vadym79/DevOpsGuruWorkshopDemo inspired by https://github.com/aws-samples/serverless-java-frameworks-samples

47. DevOps Guru Set Up

48. DevOps Guru Dashboard

49. DevOps Guru Reactive Insights

50. DevOps Guru: Recognize operational issues
in DynamoDB

51. DevOps Guru Examples: DynamoDB Throttling

52. DevOps Guru Examples: DynamoDB Throttling

53. DevOps Guru Examples: DynamoDB Throttling

54. DevOps Guru Examples: DynamoDB Throttling

55. DevOps Guru Examples: DynamoDB Throttling

56. DevOps Guru Examples: DynamoDB Throttling

57. DevOps Guru Examples: DynamoDB Throttling

58. DevOps Guru Examples: DynamoDB Throttling

59. DevOps Guru Examples: DynamoDB Throttling

60. DevOps Guru: Recognize operational issues
in API Gateway

61. DevOps Guru Examples: API Gateway 4XX Error

62. DevOps Guru: Recognize operational issues
in Lambda

63. DevOps Guru Examples: Lambda Throttling 1

64. DevOps Guru Examples: Lambda Increased
Latency

65. DevOps Guru Proactive Insights

66. DevOps Guru integration in incident
management tools
https://aws.amazon.com/devops-guru
• AWS OPsCenter (via AWS Systems Manager)
• PagerDuty
• Atlassian Opsgenie

67. DevOps Guru Supported Services and Pricing
https://aws.amazon.com/de/devops-guru/pricing/
$2,016 per
resource per month
$3,024 per
resource per
month

69. www.iplabs.de
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