What is Devops Guru?

DevOps Guru is an advanced machine learning-driven service provided by AWS.

It focuses on enhancing operational excellence by detecting and resolving issues before they impact services.

Using AI, it analyzes operational data and generates insights for proactive monitoring and incident management.

DevOps Guru helps in reducing downtime, improving application availability, and optimizing resource utilization.

How Devops Guru Works ?

Workflow Description

List of Supported AWS Service and resources:

1. Lambda : Function

2. S3 : Bucket

3. API Gateway : API Path/Route

4. NATGateway (VPC ) : NatGateway

5. EC2(ASG):Instance

6. SNS : Topic

7. SQS : Queue

8. RDS : DBInstance

9. Route 53 : HostedZone

10. ECS : Service

11. DynamoDB Streams : Stream

12. DynamoDB : Table

13. Network ELB : LoadBalancer

14. ELB : LoadBalancer

15. Application ELB : LoadBalancer

16. Kinesis : Stream

17. Redshift : Cluster, Node

18. SageMaker : InvocationEndpoint

19. EKS : Service

20. Elastic Beanstalk : Environment

21. ElastiCache : Node

22. Step Functions : Activity, StateMachine

23. OpenSearch Service : Node

24. SWF : Workflow, Task

25. CloudFront : Distribution

Benefits of Using DevOps Guru

Proactive Issue Detection: DevOps Guru identifies anomalies and issues before they become critical, allowing us to address them proactively.

Faster Incident Resolution: With AI-driven insights, DevOps Guru accelerates root cause analysis, leading to shorter Mean Time to Resolution (MTTR). This means we can quickly identify the cause of issues and resolve them, minimizing downtime and service disruptions.

Cost Savings: DevOps Guru's resource optimization features ensure that we allocate resources efficiently. This results in cost savings by eliminating unnecessary expenses and making the most of our resources.

Proactive Recommendations: Alongside issue detection, DevOps Guru provides actionable recommendations to address potential problems. These insights guide us in taking preemptive actions to maintain system health.

Real-Time Alerts: DevOps Guru provides real-time alerts for critical incidents. This ensures that our team can respond promptly to mitigate potential risks and maintain service availability.

Reduced Operational Burden: By automating the monitoring and analysis process, DevOps Guru lightens the operational burden on our team. This enables us to focus more on strategic tasks and innovation.

Cost Considerations (Link)

Free Tier for 3 Months:

• AWS Resource Analysis: 7,200 hours per month.

• DevOps Guru API: 10,000 calls per month.

Post Free Tier:

DevOps Guru's pricing is categorized into two resource price groups:

Resource Price Group A - $0.0028 per Resource per Hour:

• Lambda: Function

• S3: Bucket

Resource Price Group B - $0.0042 per Resource per Hour:

• API Gateway: API Path/Route

• DynamoDB: Table

• EC2(ASG): Instance

• And Others

Furthermore, the DevOps Guru API is priced at $0.000040 per API call, equivalent to $0.40 for 10,000 API calls.

Potential Cost Savings:

While there are costs associated with using DevOps Guru, consider the potential cost savings achieved through:

• Reduced downtime and faster incident resolution

• Improved resource utilization and efficiency

Integrating AWS DevOps Guru into Your Cloud Infrastructure

Where Can You Use AWS DevOps Guru in Your Infrastructure?

AWS DevOps Guru seamlessly integrates with various AWS services, offering real-time insights and proactive recommendations to improve operational excellence. Whether you're using AWS Lambda, Amazon ECS, Amazon EC2, Amazon VPC, Amazon SQS, or Amazon SNS, DevOps Guru extends its monitoring and anomaly detection capabilities across your infrastructure.

By leveraging machine learning, DevOps Guru identifies performance bottlenecks, resource utilization trends, and potential issues before they impact your applications.

What Changes Are Required to Integrate DevOps Guru?

Implementing AWS DevOps Guru requires minimal modifications to your existing infrastructure. The key step involves tagging your AWS resources effectively.

• A standardized tag key (e.g., devops-guru) should be applied across resources.

• The tag value can vary to group resources logically (e.g., per application, environment, or team).

Proper tagging enhances DevOps Guru’s ability to correlate events, detect anomalies, and provide actionable insights. With this structured approach, you gain better visibility into system health, enabling faster troubleshooting and improved resilience.

By adopting AWS DevOps Guru, you can elevate your cloud observability, reduce downtime, and optimize performance—without complex infrastructure changes.