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OccamsHub

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Book Demo

Drive planet-scale 
reliability

Don’t just “observe”, engineer it into
your architecture

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Slide

“OccamsHub mitigates application performance issues by predicting potential outages and accelerating root cause analysis (RCA).”

Meet the OccamsHub Copilots

Reliability teammates, powered by the Occams Context Engine and grounded in real-time system state.

SRE Copilot

Acts as a reliability engineer inside your stack, surfacing early-warning signals to prevent service degradation before users notice.

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Ops Copilot

Acts as an incident responder, instantly drilling down into complex failures to isolate root causes and recommend resolutions.

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Custom Copilots

Act as platform architects, leveraging custom context and domain correlations to drive unique operational insights and automation.

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How it works

From raw telemetry to root cause, resolution, and continuous domain learning in five steps.

Zero proprietary agents. Zero code rewrites. Up and running in minutes.

Standard-first ingestion

Simply point your existing OpenTelemetry collectors and pipelines directly to OccamsHub using standard OpenTelemetry Protocol (OTLP).

Multi-cloud & hybrid ready

Standard OTLP ingestion supports Kubernetes, serverless, and legacy VM infrastructure seamlessly.

No vendor tax

Ingest logs, metrics, and traces directly, without heavy proprietary agents or host-based fees.

Build custom metrics and search billions of events with sub-second latency.

Unified engine

Pairs live stream processing with a high-performance OLAP store.

In-flight analytics

Calculate real-time metrics and SLIs in-flight as data streams through memory.

Sub-second drill-downs

Search billions of events with instant, interactive filtering across high-cardinality dimensions like tenant IDs and deployment versions.

Understand how your entire system actually fits together.

Full-system visibility

Understand how your entire infrastructure actually fits together instead of drowning in isolated logs and outdated architecture diagrams.

Automated topology mapping

Automatically maps service dependencies and traces failure propagation paths.

Predictive baselining

Simulates failure scenarios across service paths to identify bottlenecks before they impact users.

Automated reliability workflows, with strict human-in-the-loop safety.

Goal-directed automation

Connect live operational context directly into Copilots engineered to automate SLO tracking, root-cause analysis and resolution.

Continuous human collaboration

Engage engineers at key checkpoints to review proof, validate solutions, and approve remediations.

Human-in-the-loop safety

Deliver fast, evidence-backed answers while keeping your team in complete control.

Capture engineer feedback to make every future detection and resolution sharper and faster.

Domain-driven learning

Learns directly from how your team operates rather than relying on generic black-box AI.

Continuous signal reinforcement

Captures domain feedback every time an engineer validates a root cause, resolves an incident, or adjusts an SLO.

Smarter future resolutions

Continuously sharpens future predictions and eliminates repeat investigations.

Architectural takeaway

Prevent outages before they hit on-call engineers

Legacy APMs and LLM wrappers simply index logs and guess at outages using text summaries, leading to failed queries, hallucinations, and ballooning token bills. OccamsHub processes raw OTel streams into a real-time context graph—extracting end-to-end journeys and running continuous performance simulations to predict high-cardinality failures and deliver deterministic RCA.

Built different. Ditch the wrappers.

Not just another Slack chatbot sitting behind a rate limited APM API

Most AI SRE agents simply summarize alerts you’ve already received. OccamsHub runs directly within your telemetry layer—natively ingesting logs, metrics, and traces via OpenTelemetry—to proactively prevent failures before they reach your on-call team.

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Traditional AI SRE Agents

Require weeks of setup

Custom prompts & manual runbook vectorization

Summarize logs after an outage

Struggles with high-cardinality telemetry (microservices, K8s,
tags, traces) because LLMs choke on raw log spam

Lacks operational context

Suggest generic troubleshooting steps in Slack

Passive LLM wrappers

Passive LLM wrappers Sitting behind a rate-limited Observability/APM APIs

OccamsHub Copilots

Zero configuration

Analyzes runtime data out of the box

Predicts anomalies in high-cardinality data before downtime

handles deep telemetry natively before passing context to AI logic

Codifies operational context

Turns tribal knowledge into automated execution plans

Single runtime engine

Embeds native Observability (logs, metrics, and traces) and active resolution

Ready to see OccamsHub in action?

Book a Demo