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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
- Team members are empowered to take action when outcomes are at risk
- Escalation is encouraged
- Communications are timely, clear, and actionable
- Experimentation is encouraged
- Team members are encouraged to maintain and grow their skill sets
- Resource teams appropriately
- Diverse opinions are encouraged and sought within and across teams
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- Use version control
- Test and validate changes
- Use configuration management systems
- Use build and deployment management systems
- Perform patch management
- Implement practices to improve code quality
- Share design standards
- Use multiple environments
- Make frequent, small, reversible changes
- Fully automate integration and deployment
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- Have a process for continuous improvement
- Perform post-incident analysis
- Implement feedback loops
- Perform knowledge management
- Define drivers for improvement
- Validate insights
- Perform operations metrics reviews
- Document and share lessons learned
- Allocate time to make improvements
- Perform post-incident analysis
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Security
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- Separate workloads using accounts
- Secure account root user and properties
- Identify and validate control objectives
- Keep up-to-date with security recommendations
- Keep up-to-date with security threats
- Identify and prioritize risks using a threat model
- Automate testing and validation of security controls in pipelines
- Evaluate and implement new security services and features regularly
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- Define access requirements
- Grant least privilege access
- Define permission guardrails for your organization
- Manage access based on life cycle
- Establish emergency access process
- Share resources securely within your organization
- Reduce permissions continuously
- Share resources securely with a third party
- Analyze public and cross-account access
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- Perform regular penetration testing
- Deploy software programmatically
- Regularly assess security properties of the pipelines
- Train for Application Security
- Automate testing throughout the development and release lifecycle
- Manual Code Reviews
- Centralize services for packages and dependencies
- Build a program that embeds security ownership in workload teams
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Reliability
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- Be aware of service quotas and constraints in Cloud Services
- Manage service quotas across accounts and Regions
- Accommodate fixed service quotas and constraints through architecture
- Monitor and manage quotas
- Automate quota management
- Ensure sufficient gap between quotas and usage to accommodate failover
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- Use highly available network connectivity for your workload public endpoints
- Provision Redundant Connectivity Between Private Networks in the Cloud and On-Premises Environments
- Ensure IP subnet allocation accounts for expansion and availability
- Prefer hub-and-spoke topologies over many-to-many mesh
- Enforce non-overlapping private IP address ranges in all private address spaces where they are connected
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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
- Define and calculate metrics
- Send notifications
- Automate responses
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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
- Establish a partnership between finance and technology
- Establish cloud budgets and forecasts
- Implement cost awareness in your organizational processes
- Monitor cost proactively
- Keep up-to-date with new service releases
- Quantify business value from cost optimization
- Report and notify on cost optimization
- Create a cost-aware culture
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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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- Scale workload infrastructure dynamically
- 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
- Implement a data classification policy
- Remove unneeded or redundant data
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- Articles coming soon
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Conduct game days regularly
PostedDecember 20, 2024
UpdatedMarch 22, 2025
ByKevin McCaffrey
ID: REL_REL12_6
Conducting game days is essential for validating the reliability of your workload. It allows your team to simulate failure scenarios and ensures that the system behaves as expected under stress, thereby reinforcing confidence in your operational procedures.
Best Practices
Implement Regular Game Days
- Schedule game days on a regular basis (e.g., monthly or quarterly) to ensure that all stakeholders are familiar with the responses and procedures related to incidents and failures.
- Use a predefined scenario for each game day, simulating real-life failure events to challenge the team and identify potential weaknesses in the response plan.
- Involve cross-functional teams during game days, including development, operations, and support, ensuring everyone understands their role in incident response.
- Review the outcomes and lessons learned after each game day. Create a feedback loop to update procedures and documentation based on real-world experiences during the exercises.
- Encourage a blameless culture during game days to ensure that participants feel safe identifying and discussing mistakes, leading to more effective improvements.
- Utilize a combination of environments for testing, including staging and production, to understand the impact of incidents on live applications and how to mitigate user impact.
Questions to ask your team
- How often do you conduct game days to test your reliability procedures?
- Who is involved in the planning and execution of your game days?
- What metrics do you collect during game days to assess their effectiveness?
- How do you ensure the scenarios being tested closely mimic real production failures?
- What processes do you have in place to capture and act on lessons learned from game days?
- Are there any recent examples of improvements made as a result of past game days?
Who should be doing this?
Game Day Facilitator
- Plan and organize game day events.
- Ensure all necessary participants are informed and available.
- Develop realistic scenarios for testing reliability.
- Facilitate discussions and activities during the game day.
- Aggregate feedback and learnings post-event.
Operations Team Member
- Participate in game days to simulate responding to incidents.
- Follow established procedures during testing.
- Provide feedback on response effectiveness and areas for improvement.
- Collaborate with other team members to refine incident response strategies.
Engineering Team Member
- Assist in creating the scenarios that will be tested during game days.
- Ensure that systems and applications are configured correctly for testing.
- Evaluate system performance during testing and document findings.
- Implement improvements based on feedback from game day exercises.
Leadership Sponsor
- Support the game day initiative and ensure alignment with business goals.
- Encourage team participation and accountability.
- Review outcomes and ensure follow-up actions are taken.
- Promote a culture of reliability and continuous improvement across teams.
What evidence shows this is happening in your organization?
- Game Day Planning Template: A structured template to plan game days, outlining objectives, participants, scenarios to test, and communication strategies.
- Game Day Report: A comprehensive report documenting the results of each game day, including identified issues, resolutions, and lessons learned.
- Emergency Response Checklist: A checklist for teams to follow during simulated incidents, ensuring all critical steps are taken to mitigate critical failures.
- Game Day Playbook: A playbook detailing specific roles, responsibilities, and protocols for participants during game day exercises.
- Reliability Testing Dashboard: A visual dashboard that tracks game day activities, results, and metrics to monitor the effectiveness of reliability testing.
- Post-Mortem Review Template: A template for conducting post-mortem reviews after game days to analyze the events and improve future test scenarios.
- Game Day Strategy Guide: A guide outlining strategies for running effective game days, including best practices and common pitfalls to avoid.
Cloud Services
AWS
- AWS Fault Injection Simulator: Allows you to carry out controlled experiments to improve an application’s resilience by injecting faults and analyzing impact.
- AWS CloudWatch: Provides monitoring for AWS resources and applications, enabling real-time visibility and alerts for production events.
- AWS Config: Helps assess, audit, and evaluate the configurations of AWS resources to ensure compliance and stability during game days.
Azure
- Azure Chaos Studio: Enables you to identify weaknesses in your applications by simulating failures in production-like environments.
- Azure Monitor: Provides a comprehensive solution for collecting, analyzing, and acting on telemetry from applications and services in Azure.
- Azure Resource Manager: Allows for resource management and configuration compliance, facilitating structured deployment and testing during game days.
Google Cloud Platform
- Google Cloud Chaos Engineering: Helps you test your services under unexpected failures and replicate conditions that might occur in production.
- Google Cloud Monitoring: Provides monitoring, logging, and diagnostics to understand the health and performance of your applications.
- Google Cloud Deployment Manager: Manages resources and configurations in Google Cloud, allowing you to easily deploy and manage resources for testing.
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