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Operational Excellence
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- Resources have identified owners
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- Executive Sponsorship
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Security
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Reliability
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- How do you ensure sufficient gap between quotas and maximum usage to accommodate failover?
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- Monitor end-to-end tracing of requests through your system
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- Monitor End-to-End Tracing of Requests Through Your System
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Cost Optimization
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- Establish ownership of cost optimization
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- Perform cost analysis for different usage over time
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Performance
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- Learn about and understand available cloud services and features
- Evaluate how trade-offs impact customers and architecture efficiency
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- Use purpose-built data store that best support your data access and storage requirements
- Collect and record data store performance metrics
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- Implement Strategies to Improve Query Performance in Data Store
- Implement data access patterns that utilize caching
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Sustainability
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- Optimize geographic placement of workloads based on their networking requirements
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- Stop the creation and maintenance of unused assets
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- Optimize software and architecture for asynchronous and scheduled jobs
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- Optimize areas of code that consume the most time or resources
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- Use software patterns and architectures that best support data access and storage patterns
- Remove unneeded or redundant data
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- Use policies to manage the lifecycle of your datasets
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- Articles coming soon
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Implement data access patterns that utilize caching
PostedDecember 20, 2024
UpdatedDecember 20, 2024
ByKevin McCaffrey
Caching plays a critical role in improving application performance by providing quick access to frequently requested data. By implementing efficient caching strategies, workloads can reduce latency and enhance response times, ultimately leading to a better user experience and optimized resource utilization.
Best Practices
- Use in-memory caches: In-memory caching services like Amazon ElastiCache are important for storing frequently accessed data, drastically reducing access time when compared to disk-based storage methods. Implementing caching at this level can significantly enhance performance for high-traffic applications.
- Implement cache expiration policies: Set appropriate expiration times for cached items based on their access patterns and usage frequency. This practice ensures that the cache remains relevant, optimized for cost, and mitigates the risk of serving stale data.
Supporting Questions
- Have caching solutions significantly improved data access performance in your workload?
- Are there any bottlenecks related to data retrieval that could be alleviated by implementing caching?
Roles and Responsibilities
- Cloud Architect: Responsible for designing the architecture of the application, including selecting appropriate caching solutions and integrating them effectively within the system.
- DevOps Engineer: Tasked with implementing and managing caching strategies, monitoring cache performance, and ensuring optimal configurations in the production environment.
Artifacts
- Caching Strategy Document: A comprehensive guide detailing the caching approaches, types of data to cache, expiration policies, and monitoring strategies for performance tuning.
- Performance Monitoring Dashboard: A real-time dashboard that provides metrics on cache hit rates, latency, and overall performance enhancements achieved through caching.
Cloud Services
AWS
- Amazon ElastiCache: A fully managed caching service that enables developers to create applications with lower response times and improved performance by easily setting up in-memory data stores.
- Amazon CloudFront: A content delivery network (CDN) that caches responses at the edge locations, providing low-latency access to frequently requested data for users worldwide.
Question: How do you store, manage, and access data in your workload?
Pillar: Performance Efficiency (Code: PERF)
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