Automate reliability management
Proactively manage SLAs of digital services and minimize SLA breaches.
Accelerate root cause analysis
Respond quickly to critical incidents with automated root cause analysis.
Drive operational excellence
Generate continuous actionable insights about performance bottlenecks.
Automate reliability management and reduce MTTI
Production complexity of modern applications can overwhelm even the best-run SRE teams. This is because even a small digital service could have a large number of services with complex interactions.
OccamsHub automates service reliability management with built-in AI models that automatically a) Identify major user journeys, b) Set optimal SLOs and Error budgets, and c) Forecast SLO violations and prioritize them based on a predicted timeline. This enables SRE teams to
- Get better stakeholder buy-in of SLOs and error budgets
- Proactively address issues and reduce Mean Time to Identify (MTTI)
- Protect customers from repeated SLA breaches
Accelerate root cause analysis and reduce MTTR
As the number of applications grows, the complexity of deploying changes and testing their impact on overall system performance increases significantly. This places a critical emphasis on the post-deployment stage of continuous monitoring.
OccamsHub improves Ops productivity with built-in AI models that a) automatically identify root cause for major issues b) recommend fixes and c) provide assistance to debug and troubleshoot rapidly. This enables Ops teams to:
- Accelerate release cycles
- Resolve issues quickly and reduce Mean Time to Resolution (MTTR)
- Predict potential outages and proactively address them.
Drive operational excellence and improve engineering productivity
Product leaders are focused on business outcomes, which are closely tied to user experience and customer journeys, while Ops teams are organized around services and infrastructure. It’s entirely possible for Ops teams to meet their reliability goals while users continue to complain. Bridging this gap typically requires the tedious task of correlating data from various, disconnected systems.
OccamsHub aggregates data from monitoring systems, customer insights, and business metrics, leveraging ML/AI models to provide a comprehensive view of both journey and service performance. This enables product leaders to:
- Strike the right trade-off between reliability goals and new releases
- Drive product improvements with real time insights into performance bottlenecks
- Drive business outcomes at a journey level with a real time view of service performance gaps.