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Operational Excellence
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- Resources have identified owners
- Processes and procedures have identified owners
- Operations activities have identified owners responsible for their performance
- Team members know what they are responsible for
- Mechanisms exist to identify responsibility and ownership
- Mechanisms exist to request additions, changes, and exceptions
- Responsibilities between teams are predefined or negotiated
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- Executive Sponsorship
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- Use version control
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Security
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- Evaluate and implement new security services and features regularly
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- Analyze public and cross-account access
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- Build a program that embeds security ownership in workload teams
- Centralize services for packages and dependencies
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Reliability
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- How do you ensure sufficient gap between quotas and maximum usage to accommodate failover?
- How do you automate quota management?
- How do you monitor and manage service quotas?
- How do you accommodate fixed service quotas and constraints through architecture?
- How do you manage service quotas and constraints across accounts and Regions?
- How do you manage service quotas and constraints?
- How do you build a program that embeds reliability into workload teams?
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- How do you enforce non-overlapping private IP address ranges in all private address spaces?
- How do you prefer hub-and-spoke topologies over many-to-many mesh?
- How do you ensure IP subnet allocation accounts for expansion and availability?
- How do you provision redundant connectivity between private networks in the cloud and on-premises environments?
- How do you use highly available network connectivity for workload public endpoints?
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- Monitor end-to-end tracing of requests through your system
- Conduct reviews regularly
- Analytics
- Automate responses (Real-time processing and alarming)
- Send notifications (Real-time processing and alarming)
- Define and calculate metrics (Aggregation)
- Monitor End-to-End Tracing of Requests Through Your System
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- Monitor all components of the workload to detect failures
- Fail over to healthy resources
- Automate healing on all layers
- Rely on the data plane and not the control plane during recovery
- Use static stability to prevent bimodal behavior
- Send notifications when events impact availability
- Architect your product to meet availability targets and uptime service level agreements (SLAs)
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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
- Perform a thorough analysis of each component
- Select components of this workload to optimize cost in line with organization priorities
- 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
- Evaluate how trade-offs impact customers and architecture efficiency
- Use guidance from your cloud provider or an appropriate partner to learn about architecture patterns and best practices
- Factor cost into architectural decisions
- Use policies and reference architectures
- Use benchmarking to drive architectural decisions
- Use a data-driven approach for architectural choices
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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
- Evaluate available configuration options for data store
- Implement Strategies to Improve Query Performance in Data Store
- Implement data access patterns that utilize caching
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- Understand how networking impacts performance
- Evaluate available networking features
- Choose appropriate dedicated connectivity or VPN for your workload
- Use load balancing to distribute traffic across multiple resources
- Choose network protocols to improve performance
- Choose your workload's location based on network requirements
- Optimize network configuration based on metrics
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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
- Define a process to improve workload performance
- 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
- Align SLAs with sustainability goals
- Optimize geographic placement of workloads based on their networking requirements
- Stop the creation and maintenance of unused assets
- Optimize team member resources for activities performed
- Implement buffering or throttling to flatten the demand curve
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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 monitoring solutions to understand the areas where performance is most critical
PostedDecember 20, 2024
UpdatedDecember 20, 2024
ByKevin McCaffrey
Monitoring solutions are vital for identifying performance bottlenecks and areas needing optimization. By continuously assessing the workload, you can make informed decisions to enhance performance and improve the overall customer experience, leading to a more efficient cloud operation.
Best Practices
- Implement Real-time Monitoring Tools: Utilize tools like Amazon CloudWatch to track metrics and logs in real-time. This allows for immediate detection of performance issues, enabling you to take corrective actions swiftly and maintain optimal performance levels.
- Analyze Historical Performance Data: Regularly review performance data to identify trends and establish benchmarks. Historic analysis helps in forecasting future resource needs and planning proactive changes for enhanced performance.
- Utilize A/B Testing: Conduct A/B tests to evaluate changes in workload performance based on different configurations. This provides insights into the effectiveness of adjustments, allowing you to implement the most beneficial changes.
Supporting Questions
- What metrics are critical for measuring the performance of this workload?
- How often do you review performance data to identify areas for optimization?
- Are there any performance thresholds established for your workloads?
Roles and Responsibilities
- Cloud Architect: Responsible for designing the architecture to optimize performance, monitoring the workload, and recommending necessary adjustments based on the collected data.
- DevOps Engineer: In charge of implementing and maintaining monitoring tools, ensuring they provide accurate and real-time data to identify performance issues.
Artifacts
- Performance Monitoring Dashboard: A visual representation of performance metrics collected over time, allowing teams to quickly see trends and identify anomalies in workload performance.
- Incident Response Plan: A documented process outlining steps to take when performance issues are detected, ensuring prompt responses to minimize downtime.
Cloud Services
AWS
- Amazon CloudWatch: A monitoring and observability service that provides data and actionable insights to monitor applications, respond to system-wide performance changes, and optimize resource utilization.
- AWS X-Ray: A service that helps developers analyze and debug distributed applications, providing insights into performance bottlenecks and allowing for refined optimization strategies.
Question: What process do you use to support more performance efficiency for your workload?
Pillar: Performance Efficiency (Code: PERF)
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