Utilize interactive AI models to auto-generate SLOs, predict outages, and improve observability.
Utilize interactive AI models to auto-generate SLOs, predict outages, and improve observability.
OccamsHub is an enterprise-grade agentic AI system that enables SRE teams to drive proactive operations. OccamsHub is a highly scalable data processing platform optimized for four key workloads: real-time analysis of high-cardinality data, training machine learning models, performing context engineering for language models and orchestrating model workflows to maximize reliability objectives. It comes packaged with several Copilots that help automate reliability workflows for multi-cloud deployments of distributed applications. Furthermore, it enables development of custom Copilots that can be trained to automate custom workflows. The OccamsHub AI-powered Copilots drive intelligent automation and go far beyond traditional APM, Observability and AIOps tools.
Our SRE copilot is a set of trained AI models that automates SLO Governance and predicts outages. Specifically it:
Discovers services, user journeys, service maps, and entities and discovers the links between them
Sets optimal SLOs at the granularity of a journey and continuously re-evaluates them
Provides visibility into performance choke points in terms of journeys, services, and teams
Predicts outages at the granularity of the user journey, service and application
Trained locally using each customer’s historical data, SRE copilot drives proactive operations and improves SRE team productivity by a) addressing issues before they impact customers b) providing automated SLO governance that enables distributed teams to improve service reliability efficiently.
Turbocharge your observability
Troubleshoot rapidly with automatic drill downs across any number of high cardinality dimensions
Search across logs, metrics, events and traces using a unified interface
Gain unique insights by training custom ML models on the fly
Define workflows using natural language to create custom analytics.
OccamsHub automatically normalizes ops and business data into a common data model and maintains a real time map of all entity linkages, enabling SRE teams to analyze spikes across 100s of dimensions in real time, create new analytics, discover new correlations, and train new ML models.
This improves productivity, allowing SRE teams to troubleshoot rapidly, and drive unique operational insights to improve business outcomes.
Systematize tribal knowledge into trained AI models that accelerate root cause analysis and resolution
Reduce RCA time from hours to minutes
Reduce the number of meetings and escalation paths for critical issues
Recommend remedial actions
Accelerate post-mortem analysis with built-in summarization of issues
Our Ops copilot is a set of AI models that train locally on each customer’s data. They are continuously sifting through data to find entity relationships, discover correlations, build context for generative models, generate RCA reports, and recommend remedial actions. These models are continuously learning and getting better.
This helps SRE teams avoid the tedious and error prone task of manually going through several data sources and picking needles in the haystack every time there is an incident.
Open Telemetry (Otel) is an open-source project that provides a vendor-agnostic framework for instrumenting applications to generate metrics, logs, and traces. It provides a collector that simplifies telemetry management by receiving, processing, and exporting data—eliminating the need for multiple agents and collectors.
OccamsHub supports Open Telemetry through an OccamsHub version of the upstream Otel Collector, available in our Github repository. This enables our customers to
Break free from APM vendor lock-in for data generation and collection
Seamlessly switch between various analytics and monitoring backends
Leverage the latest in community standards for consistency across all applications
OccamsHub is purpose-built for scalable enterprise deployments, offering robust support for several enterprise integrations, including:
Multi TB/day streaming ingestion
SOC 2 Type 2 certification
Individual per-tenant deployment with dedicated, locally trained models—ensuring no cross-training of customer data
- Bi-directional Integration with ticketing systems