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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
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- Resource teams appropriately
- Diverse opinions are encouraged and sought within and across teams
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- Use version control
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- Use configuration management systems
- Use build and deployment management systems
- Perform patch management
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- 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
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- 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
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- Identify and prioritize risks using a threat model
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- Define access requirements
- Grant least privilege access
- Define permission guardrails for your organization
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- Perform regular penetration testing
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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
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- 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
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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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Establish organization metrics
PostedDecember 20, 2024
UpdatedMarch 21, 2025
ByKevin McCaffrey
Establishing organization metrics is vital for understanding usage patterns and their cost implications. This helps your team allocate resources effectively and ensures transparency in financial management, enabling ongoing analysis and adjustments to optimize costs.
Best Practices
Establishing Metrics for Cost Optimization
- Define key performance indicators (KPIs) that align with your business objectives, such as cost per customer report produced or cost per web page served.
- Use AWS tools like Cost Explorer and AWS Budgets to track your costs against these established metrics.
- Regularly review and analyze the data from AWS billing reports to identify trends and opportunities for cost savings.
- Incorporate metrics into your organizational culture by sharing findings with relevant stakeholders to raise awareness and drive accountability.
- Set up automated alerts for any unexpected spikes in cost to take immediate corrective action.
Questions to ask your team
- What metrics are currently being used to track cost efficiency for this workload?
- How often are these organization metrics reviewed and updated?
- Are there any specific customer reports or performance indicators that reflect cost management?
- Is there a system in place to allocate costs to specific departments or teams?
- How do you ensure that all stakeholders are aware of and understand these metrics?
- What tools or dashboards are utilized to visualize and analyze these metrics?
Who should be doing this?
Cost Optimization Manager
- Establish organization metrics required for cost monitoring.
- Define key performance indicators (KPIs) related to costs and usage.
- Regularly review and assess cost allocation processes.
- Collaborate with finance teams to align metrics with organizational goals.
- Report on cost efficiency improvements to stakeholders.
Cloud Financial Analyst
- Monitor AWS cost and usage reports.
- Analyze financial data to identify cost-saving opportunities.
- Prepare detailed reports on cost metrics and trends.
- Assist in budgeting and forecasting processes.
- Support team members in understanding cost implications of their workloads.
DevOps Engineer
- Implement tagging policies to better allocate cost across services.
- Ensure metrics are integrated into CI/CD pipelines for continuous visibility.
- Collaborate with the Cost Optimization Manager to ensure workload efficiency.
- Automate reports and alerts related to cost anomalies.
- Maintain documentation related to cloud cost structures and metrics.
Project Manager
- Oversee initiatives to establish organization metrics.
- Ensure cross-functional teams are aligned on cost optimization goals.
- Facilitate regular meetings to discuss cost optimization strategies.
- Manage timelines and deliverables related to cost management initiatives.
- Coordinate training sessions for team members on cost efficiency practices.
What evidence shows this is happening in your organization?
- Cost Monitoring Dashboard: An interactive dashboard that visualizes cost and usage metrics across various AWS services, allowing teams to monitor spending in real-time and analyze trends.
- Cost Allocation Policy Template: A template outlining the procedures for allocating and monitoring costs across different departments and projects, ensuring accountability for cloud expenditure.
- Monthly Cost Review Report: A comprehensive report generated monthly that outlines total AWS costs, usage compared to budget, and key performance indicators related to cost efficiency.
- Cost Metrics Checklist: A checklist of key metrics to monitor for cost optimization, including customer reports produced and web pages served, which helps assess the financial impact of cloud services.
- Cost Optimization Strategy Guide: A guide providing strategies for improving cost efficiency, including best practices for monitoring usage and adjusting resources based on organization metrics.
Cloud Services
AWS
- AWS Cost Explorer: Provides a set of tools to analyze your cost and usage data, allowing you to view trends, forecast future costs, and identify areas for savings.
- AWS Budgets: Helps you set custom cost and usage budgets that alert you when you exceed your limits, enabling better financial control.
- AWS CloudWatch: Monitors AWS resources and applications in real time, providing metrics that can help correlate usage with cost, enhancing visibility of your expenses.
Azure
- Azure Cost Management + Billing: Allows you to track and analyze your cloud costs across Azure services, providing insights for better budget management and cost allocation.
- Azure Advisor: Offers personalized best practices and recommendations for optimizing your Azure resources and can help analyze your spending patterns.
- Azure Monitor: Collects and analyzes telemetry data from your cloud environment, helping you understand performance and related costs better.
Google Cloud Platform
- Google Cloud Billing Reports: Provides detailed insights into your Google Cloud costs and usage, enabling you to track spend against the allocated budget effectively.
- Google Cloud Cost Management: Helps you to set budgets, monitor expenditures, and analyze your usage patterns, which in turn can lead to improved cost optimization strategies.
- Google Cloud Operations Suite (formerly Stackdriver): Monitors and manages cloud performance data, which includes billing metrics to help correlate application usage with costs.
Question: How do you monitor your cost and usage?
Pillar: Cost Optimization (Code: COST)
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