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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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- Evaluate and implement new security services and features regularly
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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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- Automate responses (Real-time processing and alarming)
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- Monitor End-to-End Tracing of Requests Through Your System
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- Monitor all components of the workload to detect failures
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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
- Analyze all components of this workload
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- Perform cost analysis for different usage over time
- Select software with cost effective licensing
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Performance
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- Learn about and understand available cloud services and features
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- Use guidance from your cloud provider or an appropriate partner to learn about architecture patterns and best practices
- Factor cost into architectural decisions
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- Use purpose-built data store that best support your data access and storage requirements
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- Implement data access patterns that utilize caching
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- Choose appropriate dedicated connectivity or VPN for your workload
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- Establish key performance indicators (KPIs) to measure workload health and performance
- Use monitoring solutions to understand the areas where performance is most critical
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- Review metrics at regular intervals
- Load test your workload
- Use automation to proactively remediate performance-related issues
- Keep your workload and services up-to-date
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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
- Remove or refactor workload components with low or no use
- Optimize areas of code that consume the most time or resources
- Optimize impact on devices and equipment
- Use software patterns and architectures that best support data access and storage patterns
- Remove unneeded or redundant data
- Use technologies that support data access and storage patterns
- Use policies to manage the lifecycle of your datasets
- Use shared file systems or storage to access common data
- Back up data only when difficult to recreate
- Use elasticity and automation to expand block storage or file system
- Minimize data movement across networks
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- Articles coming soon
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Use automation to proactively remediate performance-related issues
PostedDecember 20, 2024
UpdatedDecember 20, 2024
ByKevin McCaffrey
Automation plays a critical role in maintaining the performance efficiency of cloud workloads. By utilizing automated systems to identify and rectify performance bottlenecks, organizations can optimize resource utilization and ensure that workloads remain responsive to user demands.
Best Practices
- Implement Continuous Monitoring: Employ monitoring tools to continuously assess performance metrics, ensuring you can react before performance issues impact users. Use tools like Amazon CloudWatch to collect and analyze performance data effectively.
- Establish Key Performance Indicators (KPIs): Define clear KPIs for your application to measure performance and set thresholds that trigger automated remediation actions, leveraging AWS Lambda or similar services to respond to alerts.
- Utilize Auto Scaling: Employ auto-scaling strategies to adjust compute resources in response to demand changes. This ensures resources are optimized and performance is maintained without over-provisioning.
Supporting Questions
- What KPIs have you established to monitor workload performance?
- How often do you review the effectiveness of your automated remediation processes?
- Are you utilizing tools that provide real-time performance insights?
Roles and Responsibilities
- DevOps Engineer: Responsible for the implementation of monitoring, alerting, and automation tools that enforce performance efficiency across cloud workloads.
- Cloud Architect: Designs systems that integrate performance monitoring and remediation strategies to optimize workload efficiency.
Artifacts
- Performance Monitoring Dashboards: Custom dashboards that visualize key performance metrics and trends in real-time, enabling immediate identification of performance issues.
- Automated Remediation Scripts: Scripts that automatically adjust resources or configurations in response to predetermined performance thresholds.
Cloud Services
AWS
- Amazon CloudWatch: A monitoring service providing data and insights on resource utilization, application performance, and operational health, enabling automation in response to performance metrics.
- AWS Lambda: Allows you to run code in response to triggers such as CloudWatch alarms, enabling automatic remediation actions without server management.
- Amazon EC2 Auto Scaling: Automatically adjusts the number of EC2 instances in your application based on demand, ensuring optimal performance while minimizing cost.
Question: What process do you use to support more performance efficiency for your workload?
Pillar: Performance Efficiency (Code: PERF)
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