How do Lambda limits and quotas affect the scalability of serverless applications?
- They can impact the ability to handle sudden spikes in traffic
- They have no effect on scalability
- They improve scalability by optimizing resource utilization
- They only affect cost, not scalability
Lambda limits and quotas, such as concurrent executions, can impact the ability of serverless applications to handle sudden spikes in traffic, potentially leading to throttling or failed invocations during peak loads.
How can you monitor and manage Lambda limits and quotas in a production environment?
- Contact AWS Support for updates
- Ignore limits and quotas
- Manually track usage in spreadsheets
- Utilize AWS CloudWatch metrics and alarms
Utilize AWS CloudWatch metrics and alarms to monitor Lambda usage and set up alerts for approaching or exceeding limits.
What strategies can be employed to optimize Lambda usage within the imposed limits?
- Ignore imposed limits
- Implement efficient code practices and minimize dependencies
- Increase memory allocation for all functions
- Rely solely on auto-scaling
Implement efficient code practices and minimize dependencies to optimize Lambda usage within the imposed limits.
What are some potential challenges when working with Lambda limits and quotas in complex serverless architectures?
- Coordination of multiple functions and services
- Lack of integration with other AWS services
- Limited programming languages support
- Static scaling limitations
In complex serverless architectures, coordination of multiple functions and services can present challenges in managing Lambda limits and quotas.
AWS Lambda has a default limit of _________ concurrent executions per region.
- 100
- 1000
- 500
- 5000
AWS Lambda has a default limit of 1000 concurrent executions per region, meaning that at any given time, it can run up to 1000 instances of your function simultaneously.
The maximum size for an uncompressed deployment package for Lambda is _________.
- 1 GB
- 100 MB
- 250 MB
- 500 MB
1000 MB exceeds the maximum size limit for an uncompressed deployment package in AWS Lambda; the correct answer is 250 MB.
AWS Lambda allows you to set _________ to control resource usage and costs.
- Execution time
- IAM policies
- Memory size
- Timeout
AWS Lambda allows you to set memory size for your functions to control resource usage and costs.
Lambda functions invoked synchronously have a payload size limit of ________.
- 10 MB
- 2 MB
- 6 MB
- 8 MB
Lambda functions invoked synchronously have a payload size limit of 6 MB. This includes both the event object and the response object.
What types of limits and quotas are associated with AWS Lambda?
- CPU utilization and disk I/O
- Concurrent executions, invocation payload size, execution duration, and memory allocation
- Network bandwidth, storage capacity, and API calls
- Operating system licenses and software installations
AWS Lambda has various limits and quotas, including limits on concurrent executions, invocation payload size, execution duration, and memory allocation.
What happens if a Lambda function exceeds its concurrent execution limit?
- Additional invocations are throttled
- The function automatically scales up to accommodate the load
- The function is paused until resources become available
- The function is terminated
If a Lambda function exceeds its concurrent execution limit, additional invocations beyond the limit are throttled, preventing them from executing until resources become available.