Standardizing Reliability at Scale with Nobl9 and AWS

For platform teams supporting large portfolios of customer-facing applications, reliability quickly becomes complex and fragmented. With dozens of services developed by different teams, each with unique performance expectations, staying ahead of SLAs and aligning on what “good” looks like becomes a major challenge. And when reliability affects both revenue and retention, that challenge becomes critical.

One global enterprise tackled this by adopting Nobl9 to bring consistency and structure to how reliability is defined and managed across the organization. Using Amazon CloudWatch as a primary telemetry source, the team was able to send real-time metrics into Nobl9 and build meaningful SLOs that reflect the actual user experience.

By implementing SLOs and error budgets across their product suite, the team reduced alert fatigue and made reliability measurable in terms of business outcomes. Teams now focus less on chasing noisy alerts and more on managing performance trends that impact customers.

The platform team also consolidated fragmented observability tooling, pulling data from CloudWatch, Prometheus, and Splunk into one central reliability view. This gave product and support teams direct access to actionable reliability insights.

Nobl9 helped this enterprise move from reactive troubleshooting to proactive reliability planning, all while improving internal alignment, customer transparency, and operational efficiency.

How Nobl9 Complements AWS-native Telemetry

As an AWS Partner, Nobl9 integrates directly with Amazon CloudWatch, making it easy for teams to import existing metrics and establish SLOs without rearchitecting or replacing existing tools. This allows teams to focus on what matters most: delivering reliable customer experiences on top of modern AWS infrastructure.

Learn more about our AWS partnership.