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Automate reliability management
Proactively manage SLAs of digital services. Minimize SLA breaches and improve customer experience.
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Accelerate release cycles
Proactively identify performance bottlenecks and generate actionable roadmaps.
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Drive operational excellence
Generate continuous actionable insights using custom analytics and custom models.
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Site Reliability Engineers (SREs)
Automate reliability management
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 that matter most
- Protect customers from repeated SLA breaches
Ops teams
Accelerate release cycles
As the number of applications increase, the complexity of rolling out changes and testing each change with respect to overall system performance increases dramatically. This puts critical focus on the post-deployment stage of continuous monitoring.
OccamsHub improves Ops productivity with built-in AI models that automatically a) Provide optimized error budgets for all services, b) Score each microservice for design antipatterns that impact performance, and c) Correlate performance score with change events. This enables DevOps teams to
- Improve release velocity
- Proactively audit system performance
- Save time by proactively addressing changes that impact performance
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Product Leaders
Drive operational excellence
In a typical Ops environment, there are several monitoring tools and it’s hard to figure out the overall health of a service without having to look at several dashboards and trying to correlate them on an ad-hoc basis.
OccamsHub ingests a variety of data ranging from monitoring systems to customer and business metrics and uses analytics and ML models to create dashboards that provide a comprehensive view of service performance. This enables product leaders to
- Get a single pane of glass view automatically
- Strike the right trade-off between reliability goals and new releases
- Optimize business outcomes by correlating service performance and various business metrics