2025-02-09
AWS is a powerful platform, but troubleshooting cloud issues can often feel like solving a never-ending puzzle. Whether it’s EC2 failures, Lambda timeouts, or IAM permission headaches, mastering AWS troubleshooting is a must for every cloud engineer. Here’s a practical guide to help you troubleshoot common AWS DevOps issues effectively.
Fix EC2 & Load Balancer Issues
- High CPU Utilization: Use the following command to identify processes consuming high CPU:
top -c -o %CPU
- Scaling Failures: Check Auto Scaling group metrics in CloudWatch:
aws cloudwatch get-metric-statistics --namespace AWS/EC2 --metric-name CPUUtilization --start-time 2023-10-01T00:00:00Z --end-time 2023-10-02T00:00:00Z --period 3600 --statistics Average
Debug S3 Permissions & Uploads
- S3 Permissions: Verify bucket policies using:
aws s3api get-bucket-policy --bucket your-bucket-name
- Slow Uploads: Optimize multipart uploads with:
aws s3 cp largefile.txt s3://your-bucket-name/ --storage-class STANDARD_IA --sse AES256
Solve IAM Role Issues
- IAM Role Troubleshooting: Simulate policies to check permissions:
aws iam simulate-principal-policy --policy-source-arn arn:aws:iam::123456789012:role/YourRole --action-names s3:GetObject
Troubleshoot RDS & DynamoDB Performance
- RDS Bottlenecks: Monitor database performance with:
aws cloudwatch get-metric-statistics --namespace AWS/RDS --metric-name CPUUtilization --start-time 2023-10-01T00:00:00Z --end-time 2023-10-02T00:00:00Z --period 3600 --statistics Average
- DynamoDB Throttling: Check throttled requests:
aws cloudwatch get-metric-statistics --namespace AWS/DynamoDB --metric-name ThrottledRequests --start-time 2023-10-01T00:00:00Z --end-time 2023-10-02T00:00:00Z --period 3600 --statistics Sum
Identify Lambda Execution Errors
- Lambda Logs: Fetch logs for a specific function:
aws logs filter-log-events --log-group-name /aws/lambda/YourFunctionName --start-time 2023-10-01T00:00:00Z --end-time 2023-10-02T00:00:00Z
Fix AWS CI/CD Pipeline Failures
- CodeBuild Logs: Retrieve build logs:
aws codebuild batch-get-builds --ids your-build-id
Resolve AWS Networking Issues
- VPC Flow Logs: Analyze traffic:
aws ec2 describe-flow-logs --filter Name=resource-id,Values=vpc-12345678
Optimize ECS & EKS Workloads
- ECS Task Metrics: Monitor tasks:
aws cloudwatch get-metric-statistics --namespace AWS/ECS --metric-name CPUUtilization --start-time 2023-10-01T00:00:00Z --end-time 2023-10-02T00:00:00Z --period 3600 --statistics Average
Improve Monitoring with CloudWatch & X-Ray
- CloudWatch Alarms: List alarms:
aws cloudwatch describe-alarms
- X-Ray Traces: Fetch trace summaries:
aws xray get-trace-summaries --start-time 2023-10-01T00:00:00Z --end-time 2023-10-02T00:00:00Z
Cut Costs with AWS Billing
- Cost Explorer: Retrieve cost data:
aws ce get-cost-and-usage --time-period Start=2023-10-01,End=2023-10-02 --granularity MONTHLY --metrics "UnblendedCost"
What Undercode Say
Mastering AWS DevOps troubleshooting requires a deep understanding of AWS services and their interdependencies. By leveraging AWS CLI commands and CloudWatch metrics, you can diagnose and resolve issues efficiently. Here are some additional tips and commands to enhance your troubleshooting skills:
1. EC2 Instance Health Checks:
aws ec2 describe-instance-status --instance-id i-1234567890abcdef0
2. S3 Bucket Versioning:
aws s3api get-bucket-versioning --bucket your-bucket-name
3. IAM User Policies:
aws iam list-user-policies --user-name YourUserName
4. RDS Snapshots:
aws rds describe-db-snapshots --db-instance-identifier your-db-instance
5. Lambda Function Configuration:
aws lambda get-function --function-name YourFunctionName
6. CodePipeline Execution Details:
aws codepipeline get-pipeline-execution --pipeline-name YourPipelineName --pipeline-execution-id YourExecutionId
7. VPC Subnet Details:
aws ec2 describe-subnets --subnet-ids subnet-12345678
8. ECS Cluster Metrics:
aws cloudwatch get-metric-statistics --namespace AWS/ECS --metric-name MemoryUtilization --start-time 2023-10-01T00:00:00Z --end-time 2023-10-02T00:00:00Z --period 3600 --statistics Average
9. X-Ray Service Graphs:
aws xray get-service-graph --start-time 2023-10-01T00:00:00Z --end-time 2023-10-02T00:00:00Z
10. AWS Budgets:
aws budgets describe-budgets --account-id 123456789012
For further reading, refer to the official AWS documentation:
– AWS CLI Command Reference
– AWS CloudWatch User Guide
– AWS X-Ray Developer Guide
By integrating these commands and strategies into your workflow, you can streamline your AWS DevOps troubleshooting process and ensure smoother cloud operations.
References:
Hackers Feeds, Undercode AI