We address common cloud issues and provide practical solutions to empower you with the essential troubleshooting skills for a seamless cloud experience.
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Scenario 1: “Website Unreachable”
You have deployed a web application on Azure or AWS, and users are reporting that the website is not accessible. You need to troubleshoot and resolve the issue.
Possible Solutions:
Check the Network Security Group (NSG) or Security Group (SG) rules: Ensure that the appropriate inbound rules are configured to allow HTTP/HTTPS traffic to the web server.
Review Network Load Balancer (NLB) or Application Load Balancer (ALB) settings: Verify the health checks and target group settings if you are using load balancers to distribute traffic to multiple instances.
Examine the Virtual Machine (VM) or EC2 instance status: Ensure that the VM or EC2 instance hosting the web application is running and has no critical issues.
Review DNS settings: Check that the DNS records are correctly configured and pointing to the correct IP address or load balancer endpoint.
Inspect web server logs: Analyze the logs on the VM or EC2 instance to identify any errors or issues related to the web application.
Scenario 2: “High CPU Utilization”
You notice that one of your virtual machines or EC2 instances is experiencing high CPU utilization, impacting application performance.
Possible Solutions:
Scale the instance: Consider upgrading the VM instance size to one with higher CPU resources to handle the increased load.
Optimize code and applications: Review the application code and optimize any inefficient processes or queries that might be causing high CPU usage.
Load balancing and Auto Scaling: Implement load balancing and auto-scaling groups to distribute the load across multiple instances and automatically adjust capacity based on demand.
Use monitoring and alerting: Set up monitoring and alerting for CPU utilization to proactively identify and address high usage issues.
Scenario 3: “Data Backup Failure”
Your database backups are failing consistently, and you need to troubleshoot the backup process.
Possible Solutions:
Check permissions and IAM roles: Ensure that the backup process has appropriate permissions to access and write to the backup location (e.g., S3 bucket, Azure Storage).
Verify storage space: Ensure that there is enough space available in the backup destination to accommodate the backups.
Review backup configuration: Double-check the backup settings to ensure they are correctly configured, including backup frequency and retention policies.
Test backup and restore process: Perform a test backup and restore to confirm that the backup process is functioning correctly.
Scenario 4: “Application Deployment Error”
You are trying to deploy a new version of your application, but the deployment is failing with an error message.
Possible Solutions:
Review deployment logs: Examine the deployment logs to identify the specific error message and pinpoint the root cause.
Check dependencies: Ensure that all required dependencies and resources (e.g., database, storage accounts) are available and accessible.
Rollback changes: If possible, revert to the previous version of the application to maintain service availability while troubleshooting the deployment issue.
Validate deployment scripts: Verify that any deployment scripts or automation processes are correctly configured and executing the deployment steps accurately.
Scenario 5: “S3 Bucket Access Denied”
You are trying to access an S3 bucket, but you receive an “Access Denied” error.
Possible Solutions:
Check IAM permissions: Ensure that the IAM user or role you are using to access the bucket has the necessary permissions (e.g.,
s3:GetObject) attached to their policy.Bucket Policy and ACLs: Review the bucket’s access control policies and Access Control Lists (ACLs) to confirm that they allow the desired access.
CORS Configuration: If you are accessing the bucket from a web application using JavaScript, verify that the Cross-Origin Resource Sharing (CORS) configuration allows the necessary origin.
Scenario 6: “RDS Database Connection Failure”
Your application is unable to connect to the Amazon RDS database.
Possible Solutions:
Check security group rules: Ensure that the security group associated with the RDS instance allows inbound connections from the application’s server or security group.
Verify database endpoint: Confirm that the application is using the correct RDS instance endpoint (including the port number) in its connection string.
Database credentials: Double-check the username and password used in the application’s database configuration to ensure they are correct.
Scenario 7: “Lambda Function Timeout”
Your AWS Lambda function is timing out before completing the task.
Possible Solutions:
Increase function timeout: Adjust the function’s timeout setting to provide it with more time to complete its execution.
Optimize code: Review the Lambda function’s code and look for opportunities to optimize and reduce execution time.
Check resources and concurrency: Ensure that the function has enough allocated resources (e.g., memory) and check if there are any issues related to Lambda concurrency limits.
Scenario 8: “Auto Scaling Group Not Scaling”
Your Auto Scaling group is not scaling in or out as expected based on demand.
Possible Solutions:
Check scaling policies: Verify the scaling policies attached to the Auto Scaling group and ensure they are correctly configured to respond to the desired metrics (e.g., CPU utilization, request count).
Instance limits: Ensure that you have not reached any EC2 instance limits in your AWS account that could prevent scaling.
Health checks: Confirm that the health checks associated with the Auto Scaling group are passing correctly, as failing health checks can prevent scaling actions.
Scenario 9: “DynamoDB Throughput Errors”
Your DynamoDB table is experiencing “ProvisionedThroughputExceededException” errors.
Possible Solutions:
Increase provisioned throughput: Scale up the provisioned read and write capacity of the DynamoDB table to handle the higher request rate.
Examine usage patterns: Analyze the application’s access patterns to identify if certain keys or partitions are hotspots and consider partitioning strategies.
Use on-demand capacity: Switch the table to on-demand capacity mode if the workload is highly variable and unpredictable.
Scenario 10: “Elastic Beanstalk Deployment Failure”
Your Elastic Beanstalk application deployment is failing.
Possible Solutions:
Review application logs: Check Elastic Beanstalk logs for any error messages or exceptions that might indicate the cause of the deployment failure.
Check IAM permissions: Ensure the IAM roles associated with the Elastic Beanstalk environment have the necessary permissions to access other AWS services required for the deployment.
Validate deployment package: Verify that the application package being deployed is correct and includes all necessary files and dependencies.