Nobl9 provides a Service Level Objective (SLO) platform that connects reliability metrics to business goals, enabling teams to focus on delivering a consistent user experience rather than merely tracking uptime. By utilizing error budgets and data from existing monitoring tools, Nobl9 helps organizations identify and address performance issues that impact customer satisfaction and retention.
Funding
$44.4M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
SFounders
Product
Problem
Organizations struggle to connect reliability metrics with business objectives, leading to a focus on uptime percentages rather than consistent user experiences. This makes it difficult to identify and address performance issues that directly impact customer satisfaction and retention.
Solution
Nobl9 provides a Service Level Objective (SLO) platform that bridges the gap between reliability metrics and business goals, enabling teams to prioritize a consistent user experience. By leveraging error budgets and integrating with existing monitoring tools like Datadog, CloudWatch, Splunk, and New Relic, Nobl9 helps organizations pinpoint and resolve performance bottlenecks that affect customer satisfaction. The platform offers a single pane of glass view of application reliability, translating complex technical metrics into a Reliability Score that is easily understood across the organization. This allows product teams to quickly identify issues impacting user experience, even if they don't cause a full outage, and strategically allocate IT investments to align with business goals.
Target Audience
Nobl9 is designed for SREs, platform engineers, and business executives who need to understand and manage the reliability of their applications and services in relation to business objectives.
Features
- Executive dashboard providing a holistic view of organizational reliability
- SLO backtesting to refine SLO definitions efficiently
- SLO annotations for adding context to metrics
- Error budget alerting for proactive issue resolution
- SLO replay for intelligent data gap repair and SLO restatement
- SLO organization and scaling for actionable insights at any size
- Data source agnostic, integrating with existing telemetry sources
- Customizable query delays for SLI consistency
- Data export to AWS S3 or Google Cloud Storage in CSV format
- Budget adjustments to exclude planned downtime from error budget calculations
- Switching between organizations easily and securely
- SLOs as Code for flexible engineering management with Github Actions, Terraform, and OpenSLO