What are some key metrics to monitor in AWS Lambda functions?
- Invocation count, Error count, Duration, Concurrency
- Latency, Throughput, Disk I/O, Queue depth
- Response time, Uptime, Bandwidth, Cache hit ratio
- Storage usage, Network traffic, CPU utilization, Memory usage
Key metrics to monitor in AWS Lambda functions include Invocation count, Error count, Duration, and Concurrency.
How can you set up alarms for monitoring Lambda function metrics?
- Installing third-party software
- Manual scripting
- Using AWS CloudWatch
- Using Lambda itself
Using AWS CloudWatch allows you to set up alarms based on Lambda function metrics, triggering notifications or automated actions when certain thresholds are met.
What are some recommended practices for logging in AWS Lambda?
- Use CloudTrail for logging, Include sensitive information in logs, Log only errors for simplicity, Use a single log group for all functions
- Use CloudWatch Logs, Include relevant context in logs, Implement log rotation, Set appropriate log levels
- Use S3 buckets for logging, Disable logging for performance optimization, Store logs locally in the Lambda function, Use generic log messages without context
- Use custom logging solutions, Share log groups across AWS accounts, Log all events regardless of importance, Keep logs indefinitely
Recommended practices for logging in AWS Lambda include using CloudWatch Logs, including relevant context in logs, implementing log rotation, and setting appropriate log levels.
How can you use AWS CloudWatch Logs Insights for monitoring AWS Lambda functions?
- Analyzing logs with advanced queries
- Configuring triggers
- Setting up alarms
- Viewing real-time metrics
AWS CloudWatch Logs Insights allows you to analyze logs generated by AWS Lambda functions using advanced queries, helping you to identify trends, troubleshoot issues, and gain insights into function behavior.
What role does AWS X-Ray play in monitoring serverless applications?
- Configuring security
- Generating logs
- Managing infrastructure
- Tracing and analyzing requests
AWS X-Ray allows you to trace and analyze requests as they travel through your serverless applications, providing insights into performance bottlenecks and dependencies.
What are some strategies for optimizing monitoring costs in AWS Lambda?
- Enabling detailed monitoring
- Filtering logs by severity
- Increasing log retention periods
- Sending all logs to monitoring services
By filtering logs based on severity levels, you can reduce the volume of data sent to monitoring services like AWS CloudWatch, thus lowering costs associated with log ingestion and storage.
How can you configure provisioned concurrency to mitigate cold start issues in AWS Lambda?
- By specifying the number of instances to keep warm
- Configuring resource policies
- Enabling automatic scaling
- Increasing the timeout duration
By specifying the number of instances to keep warm, provisioned concurrency allows you to ensure that there are always instances ready to handle incoming requests, thus mitigating cold start issues in AWS Lambda.
__________ is a technique used to reduce the overhead of monitoring in AWS Lambda by sampling data.
- Aggregation
- Profiling
- Sampling
- Streaming
Sampling is a technique used to reduce the overhead of monitoring in AWS Lambda by collecting and analyzing only a subset of data, rather than all data points.
Implementing distributed tracing using __________ can provide insights into the performance of AWS Lambda functions.
- AWS App Mesh
- AWS CloudTrail
- AWS Step Functions
- AWS X-Ray
Implementing distributed tracing using AWS X-Ray can provide insights into the performance of AWS Lambda functions by tracing and analyzing the execution path of requests across distributed systems.
Scenario: Your team is experiencing performance issues with AWS Lambda functions. How would you use AWS X-Ray to diagnose the problem?
- Check AWS CloudWatch metrics
- Disable Lambda function logging
- Enable X-Ray tracing for Lambda functions
- Increase Lambda function memory
Enabling X-Ray tracing for Lambda functions allows you to capture detailed trace data, including timing information, for each invocation, helping diagnose performance issues.