Request Multiple Quotes from Observability Platform Providers and Vendors

The challenge

The solution

The outcome

Requirements

• - Define business objectives and SLIs/SLOs
• - Identify critical services, user journeys, and dependencies
• - Establish scope: infrastructure, applications, APIs, databases, networks, cloud, third-party services
• - Set up comprehensive telemetry collection:
• - Metrics
• - Logs
• - Traces
• - Events
• - Standardize instrumentation across all systems
• - Ensure correlation IDs and context propagation
• - Choose tools/platforms for collection, storage, analysis, and visualization
• - Design dashboards for:
• - Executive view
• - Service health
• - Infrastructure health
• - Incident response
• - Create alerting strategy:
• - Actionable alerts only
• - Thresholds and anomaly detection
• - Severity levels
• - Escalation paths
• - Define incident response workflows and ownership
• - Implement root cause analysis and post-incident review process
• - Set retention, sampling, and data quality standards
• - Secure observability data:
• - Access control
• - Encryption
• - Privacy/compliance handling
• - Automate deployment and configuration of monitoring
• - Validate coverage with testing, synthetic checks, and chaos/resilience testing
• - Track trends and capacity for performance and forecasting
• - Continuously review, tune, and improve based on incidents and feedback

Best practices

• 1. Define clear business and technical outcomes before evaluating tools.
• 2. Map observability requirements to critical B2B customer journeys and SLAs.
• 3. Prioritize end-to-end visibility across applications, infrastructure, and third-party dependencies.
• 4. Ensure the platform supports logs, metrics, traces, and events in one workflow.
• 5. Verify scalability for current volume and future growth across multi-tenant environments.
• 6. Confirm strong alerting with low-noise, actionable notifications and smart thresholds.
• 7. Look for root-cause analysis capabilities that reduce mean time to detect and resolve.
• 8. Require role-based access controls, audit trails, and enterprise-grade security.
• 9. Evaluate integration with existing stack, including cloud, CI/CD, ITSM, and collaboration tools.
• 10. Assess data retention, search performance, and long-term historical analysis capabilities.
• 11. Check support for SLOs, SLAs, and service health reporting tied to customer impact.
• 12. Favor customizable dashboards and reporting for engineering, operations, and executive teams.
• 13. Validate ease of deployment, onboarding, and maintenance overhead for internal teams.
• 14. Review pricing carefully for ingestion, retention, users, and alerting to avoid surprise costs.
• 15. Test vendor support, product roadmap, and reliability through trials, references, and proof of value.