Scenario: Your team is designing a serverless architecture for a real-time chat application with thousands of concurrent users. What considerations would you make regarding AWS Lambda concurrency and scaling?
- Implement Event Source Mapping
- Monitor and Auto-scale
- Set Appropriate Concurrency Limits
- Use Multi-Region Deployment
Monitoring Lambda functions and enabling auto-scaling based on metrics such as invocation count or latency can dynamically adjust resources to match demand and ensure optimal performance for a real-time chat application with thousands of concurrent users.
What is the maximum size limit for a Lambda Layer?
- 1 GB
- 10 GB
- 250 MB
- 50 MB
The maximum size limit for a Lambda Layer is 50 MB, allowing you to include libraries, custom runtimes, and other dependencies.
How does AWS Lambda manage concurrency?
- Automatically scales
- Manually configured
- Relies on external services
- Uses a fixed pool
AWS Lambda automatically manages concurrency by scaling the number of function instances in response to incoming requests, ensuring that multiple requests can be processed concurrently.
What strategies can be employed to optimize concurrency and scaling in AWS Lambda?
- Horizontal scaling
- Manual scaling
- Provisioning concurrency
- Vertical scaling
Provisioning concurrency allows you to allocate a set number of execution environments, ensuring consistent performance and reducing cold start times in AWS Lambda.
What are some limitations to consider when designing highly concurrent AWS Lambda applications?
- Account-level concurrency limits
- Cold start latency
- Event source limits
- Resource contention
AWS Lambda imposes account-level concurrency limits, which can restrict the maximum number of concurrent executions across all functions in the account, requiring careful planning and monitoring.
AWS Lambda automatically handles __________, allowing multiple instances of a function to run concurrently.
- Authentication
- Containerization
- Load balancing
- Scaling
AWS Lambda automatically handles scaling, allowing multiple instances of a function to run concurrently.
When designing AWS Lambda functions for high concurrency, it's essential to consider the impact on __________ and resource consumption.
- Cost
- Latency
- Performance
- Security
When designing AWS Lambda functions for high concurrency, it's essential to consider the impact on performance and resource consumption.
AWS Lambda provides __________ concurrency limits per region by default.
- Account-based
- Function-based
- Global
- Region-based
AWS Lambda provides account-based concurrency limits per region by default.
To control concurrency in AWS Lambda, you can set __________ at the function level.
- Execution role
- Memory allocation
- Reserved concurrency
- Timeout duration
Reserved concurrency allows you to limit the number of concurrent executions of a function, helping you control costs and resource utilization in AWS Lambda.
Strategies such as __________ can help mitigate issues related to cold starts and concurrent execution spikes.
- Auto scaling
- Elastic load balancing
- Provisioned concurrency
- Static scaling
Provisioned concurrency allows you to preallocate resources to a function, reducing cold starts and mitigating issues related to concurrent execution spikes in AWS Lambda.