How can you ensure thread safety when implementing resource reuse in AWS Lambda functions?
- Deploy multiple versions
- Implement global variables
- Use stateless functions
- Utilize local storage
Using stateless functions ensures that there are no shared resources between invocations, which helps maintain thread safety.
What strategies can you employ to monitor and optimize resource reuse in AWS Lambda?
- Enable VPC integration
- Implement custom logging
- Increase timeout settings
- Use larger memory sizes
Implementing custom logging helps track resource utilization and can provide insights into how resources are being reused, aiding in optimization efforts.
Proper __________ is crucial when implementing resource reuse in AWS Lambda to avoid unintended side effects.
- Code versioning
- Event handling
- Function isolation
- Resource management
Proper resource management ensures that resources such as database connections are handled correctly to avoid unintended side effects.
Implementing __________ in AWS Lambda can significantly improve performance and reduce costs.
- Auto-scaling
- Data encryption
- Logging
- Resource pooling
Resource pooling can improve performance and reduce costs by reusing resources like database connections across multiple function invocations.
The __________ design pattern in AWS Lambda involves caching frequently accessed data to minimize external calls.
- Cache-Aside
- Lazy loading
- Read-Through
- Write-Through
The Cache-Aside pattern involves caching frequently accessed data to minimize external calls, making it suitable for AWS Lambda.
__________ is a technique in AWS Lambda where you pre-initialize resources outside the handler function to reuse across invocations.
- Connection pooling
- Global variables
- Lazy loading
- Warm start
Using global variables in AWS Lambda allows you to pre-initialize resources outside the handler function, making them reusable across invocations.
Utilizing __________ in AWS Lambda helps in minimizing startup times and improving overall efficiency.
- Auto-scaling
- Layers
- Resource tagging
- Sharding
Utilizing layers in AWS Lambda helps in minimizing startup times by pre-packaging dependencies, thus improving overall efficiency.
What is the purpose of load testing in performance testing?
- To check for software bugs
- To enhance security measures
- To evaluate how the system performs under heavy load
- To improve code quality
Load testing evaluates how the system performs under heavy load, identifying maximum capacity and performance bottlenecks.
What is the difference between stress testing and load testing?
- Load testing evaluates system recovery after failure
- Load testing measures system performance under expected load
- Stress testing and load testing are the same
- Stress testing evaluates system behavior under extreme conditions
Stress testing evaluates system behavior under extreme conditions, while load testing measures system performance under expected load.
How can you measure response time in performance testing?
- Observing user feedback
- Reviewing system logs
- Using a stopwatch to manually time responses
- Utilizing performance testing tools like JMeter
Utilizing performance testing tools like JMeter is the most effective and accurate method to measure response time in performance testing.