Quotas & Limits Overview
1. Introduction
In Data Engineering on AWS, understanding quotas and limits is crucial for designing scalable and reliable systems. Quotas are restrictions on the resources that can be used, while limits are the maximum amounts of resources that can be provisioned.
2. Key Concepts
- Quotas: Restrictions on the number of resources or operations in AWS services.
- Service Limits: Maximum capacity of resources that can be allocated.
- Dynamic Scaling: Adjusting resources based on demand.
- Provisioned Limits: Fixed limits set by users or AWS on specific resources.
3. Service Limits
Each AWS service has its own set of quotas and limits. Some common services and their limits include:
- AWS Lambda: Maximum of 1000 concurrent executions.
- Amazon S3: No limit on the number of buckets, but 1 bucket can have a maximum of 100 prefixes.
- Amazon RDS: Maximum of 40 DB instances per account.
4. Best Practices
To effectively manage quotas and limits, consider the following best practices:
- Monitor usage regularly using AWS CloudWatch.
- Request quota increases if necessary.
- Implement auto-scaling mechanisms to manage resources dynamically.
- Design systems to gracefully handle errors related to quota limits.
5. FAQ
What happens if I exceed a quota?
If you exceed a quota, AWS services may return errors, and your requests will be throttled or denied until you reduce your usage or request a quota increase.
How can I request a quota increase?
You can request a quota increase through the AWS Management Console by navigating to the Service Quotas page and selecting the service you need assistance with.
Can I see my current quotas and limits?
Yes, you can view your current quotas and limits by accessing the Service Quotas console or using the AWS CLI command aws service-quotas list-service-quotas.