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                     Building Effective Dashboards for 
SRE Teams (2025)
Designing Insightful, Actionable, and Reliable Observability Dashboards
Key Points:
Why dashboards matter for SRE
Principles of modern observability
Focus on clarity, automation, and actionable insights
Role of Dashboards in SRE
• Purpose:
 Support incident detection, triage, and resolution
 Provide real-time visibility into system health
 Enable data-driven decisions for reliability improvements
• SRE Responsibilities Supported:
 Monitoring SLIs and SLO performance
 Error budget tracking
• Capacity and performance analysis
Define the Audience and Use Cases First
Questions to Answer Before Building:
Who is the dashboard for: on-call engineers, leadership, service owners
What decisions will it help make
What actions should be triggered by what signals
Types of Dashboards:
On-call operational dashboards
SLO and reliability dashboards
Capacity and performance dashboards
•Executive health summaries
Choose the Right Metrics for 2025
Focus on High-Value Metrics:
Golden signals: latency, traffic, errors, saturation
SLO-based metrics: availability, latency percentiles, error rates
Business-level metrics: user journeys, conversion-impact 
indicators
What to Avoid:
Metric overload
•Vanity metrics without operational value
Dashboard Design Principles
Clarity and Readability:
Use consistent time intervals and naming conventions
Prioritize top-of-page for most critical metrics
Apply intuitive visualizations (line charts, heatmaps, gauges where useful)
Structure:
Top: current health indicators
Middle: diagnosing issues (breakdowns by service, region, dependency)
•Bottom: detailed logs, traces, or anomaly summaries
Make Dashboards Actionable
Include Context:
Annotations for deployments, incidents, config changes
Thresholds and alert indicators tied to SLOs
Enable Rapid Diagnosis:
Drill-down paths from high-level metrics to detailed traces
Highlight outliers, deviations, and unusual patterns
2025 Enhancements:
AI-driven anomaly detection overlays
•Automated correlation between metrics and events
Standardization and Governance
Consistency Across Teams:
Use common templates for similar services
Maintain metric naming and tagging standards
Ensure dashboards tie back to org-wide SLOs
Governance Practices:
Regular reviews of dashboard usefulness
Retire unused or redundant metrics
•Validate alignment with incident postmortems
Enable Automation and Integration
Automation Opportunities:
Auto-refresh with configurable intervals
AI recommendations for metric additions or removals
Predictive capacity and error budget forecasting
Integrations:
Observability platforms, CI/CD signals, on-call systems
•Unified data sources for logs, metrics, traces, and events
Best Practices and Takeaways
• Key Guidelines:
 Build dashboards around SLOs and user impact
 Keep designs clean and avoid unnecessary metrics
 Prioritize actionable visibility over raw data
 Continuously iterate using feedback from on-call engineers
• Outcome:
• Dashboards that enhance reliability, reduce MTTR,
and support fast decision-making
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