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OccamsHub

SOLUTIONS

Reclaim focus
with fewer outages

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.

For Platform & SRE Leaders

Eliminate the 2,000-hour SLO setup tax.

Platform and SRE leaders are trapped between two fires: software engineering teams shipping code
faster than observability can keep up, and executive leadership demanding strict SLA compliance without
exploding cloud bills.

OccamsHub transforms your platform team from reactive dashboard maintainers into proactive reliability
architects. By embedding our SRE Copilot directly into a native OpenTelemetry core, OccamsHub
automates the tedious, manual overhead of SRE—allowing a single team to govern reliability across
thousands of microservices effortlessly.

Eliminate the 2,000-hour SLO configuration tax

Stop spending months manually defining endpoints and tuning brittle thresholds.

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THE CHALLENGE

Setting up and maintaining SLOs for 100+ microservices manually consumes over 2,000 engineering hours in setup and up to 2 FTEs in perpetual maintenance overhead.

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The OccamsHub Solution

Automatically stitches raw telemetry into business-critical journeys (e.g., Checkout_Flow, User_Auth) and calculates dynamic error budget baselines based on statistical simulations of failures. Out of the box.

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The Measurable Outcome

Eliminate 99%+ of manual SLO setup time and deploy full journey-level reliability governance across your entire microservice fleet in minutes, not months.

Eliminate architecture drift & hidden operational debt

Get zero-touch visibility into your evolving service topology.

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THE CHALLENGE

Modern deployment pipelines introduce dozens of new microservice dependencies, database calls, and third-party APIs daily—rendering static architecture diagrams and SLOs obsolete within hours.

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The OccamsHub Solution

Combines OpenTelemetry semantic conventions to dynamically map service dependencies and detect circular calls, hidden bottlenecks, and architectural anti-patterns the moment new code deploys.

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The Measurable Outcome

Achieve continuous topology accuracy with zero manual configuration files, custom tagging rules, or outdated Wiki diagrams.

Shift from reactive firefighting to predictive outage prevention

Fix performance degradation long before static global thresholds breach.

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THE CHALLENGE

Legacy APM alerts fire after a service breaks, forcing SREs into chaotic P1 war rooms while customer SLAs burn out in real time.

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The OccamsHub Solution

OccamsHub continuously monitors error budget burn velocity across dynamic high-cardinality tags (k8s_pod, customer_tier, region), calculating multi-window burn rates (e.g., 1h vs 6h velocity) to forecast cascading failures before users are impacted.

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THE Mesurable outcome

Reduce P1/P2 incident volume by up to 40% and reduce Mean time to detect (MTTD) by catching performance degradation during early micro-anomaly stages.

Platform leader ROI summary

Operational Metric

SLO Onboarding Time (100 Services)

Annual SLO Maintenance

Topology Discovery

High-Cardinality Tagging

Vendor Lock-In

Legacy APMs 

3 – 6 Months (~2,000 man-hours)

1 – 2 Full-Time Engineers (FTEs)

Manual APM agent config / stale diagrams

Exponential "Custom Metric" surcharges

High (Proprietary agents & query languages)

OccamsHub

Under 1 hour (Automated)

Zero-Config Auto-Tuning

Real-time discovery

Flat-rate Columnar OLAP Storage

Zero (100% OpenTelemetry Standards)

For On-Call Engineers

Stop chasing red herrings. Isolate the exact root cause in seconds.

On-call shouldn’t mean drowning in alert noise, hunting through endless log tabs at 2AM, or getting dragged into a 20-person bloated war room. Every minute spent context-switching between disjointed dashboards burns your SLAs and your team’s sanity.

OccamsHub replaces chaotic firefighting with human-in-the-loop automation. Powered by the Occams Context Engine, Ops Copilot runs directly on raw OpenTelemetry streams to investigate alerts, drill into live correlations, and deliver evidence-backed RCA in seconds—enabling engineers to validate fixes and generate post-mortems in minutes, not hours.

Instant root cause analysis (RCA) with zero log-hopping

Pinpoint the exact code commit, feature flag, or config shift in seconds.

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THE CHALLENGE

Finding the root cause usually requires jumping between Datadog metrics, Splunk logs, AWS CloudWatch, and GitHub commit histories to manually piece together a timeline.

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The OccamsHub Solution

Ops Copilot continuously computes real-time statistical correlations across streaming telemetry—linking metric spikes directly to failing trace spans, error log snippets, recent code commits, and feature flag toggles.

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The Measurable Outcome

Cut Mean Time to Isolate (MTTI) from 45 minutes to sub-seconds, giving you deterministic proof of what broke.

Suppress alert storms & consolidate cascading noise

Turn 200 microservice alerts into a single, cohesive incident timeline.

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THE CHALLENGE

When a core service fails, downstream microservices trigger an avalanche of secondary alerts—flooding Slack and PagerDuty with noise that hides the initial trigger.

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The OccamsHub Solution

Automatically groups cascading alerts across your microservices in real time into a unified incident context window, deduplicating repetitive log errors and filtering out non-actionable background noise.

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The Measurable Outcome

Reduce alert noise by up to 85%, giving on-call engineers an immediate, clutter-free view of what actually started the fire.

Guided, evidence-backed remediation without guessing

Get step-by-step fix recommendations backed by verifiable telemetry proof.

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THE CHALLENGE

Generic AI chatbots hallucinate or offer vague advice like “check your database,” while legacy APMs leave you to write complex ad-hoc queries under pressure.

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The OccamsHub Solution

Delivers actionable, step-by-step diagnostic and remediation guidance embedded with auditable proof—surfacing the exact trace paths, metric anomalies, and log lines that validate the diagnosis.

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THE MEASURABLE OUTCOME

Reduce lower Mean Time to Resolution (MTTR) while eliminating guesswork and dangerous, unverified trial-and-error fixes in production.

Eliminate war rooms & systematize tribal knowledge

Automate post-mortems and transform historical incident resolutions into continuous training data.

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THE CHALLENGE

SREs spend hours writing manual post-mortems after an incident, while historical fix knowledge remains trapped in private Slack messages or outdated Wiki pages.

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The OccamsHub Solution

Automatically generates post-mortems (capturing exact timeline, root cause, blast radius, and recovery steps) while learning from past resolutions and runbooks to inform future investigations.

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THE MEASURABLE OUTCOME

Eliminate cross-team war room overhead and empower junior or secondary on-call engineers to resolve complex issues.

On-call team - ROI summary

Incident response task

Alert triage

Root cause isolation

Diagnostic proof

Post-mortem generation

On-call burnout

Legacy APMs 

Drowning in 100+ cascading PagerDuty alerts

60 minutes of manual correlations

Trial-and-error guessing or vague AI summaries

60 minutes of manual copy-pasting

High fatigue, frequent false positives, long war rooms

OccamsHub

Consolidated single-incident timeline

85%+ faster, Sub-second automated correlations

Telemetry attribution with clear reasoning

100% automated generation

Automation to assist engineers in faster RCA and resolution

For Product Leaders & CTOs

Bridge the gap between engineering reliability and product revenue.

Product leaders shouldn’t have to wait for churned customers or tickets to discover that a critical user flow is broken. In microservice architectures, technical latency spikes, database locks, and silent API failures directly degrade user conversion and retention—yet traditional monitoring hides these issues behind obscure host metrics and pod names.

OccamsHub transforms raw telemetry into business-centric product journey SLOs. By automatically mapping technical trace flows to real journeys (Checkout_Flow, Onboarding_Funnel, Payment_Auth), OccamsHub gives product teams real-time visibility into feature health, conversion risk, and error budget impact without requiring engineering to build custom tracking dashboards.

Align engineering reliability with business revenue

Stop tracking disconnected server metrics. Start monitoring real product journeys.

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THE CHALLENGE

Engineers talk in latency percentiles and pod health; product leaders talk in conversion rates and user retention. When an incident occurs, product teams struggle to answer: “Which user flows are currently broken, and how many customers are affected?”

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The OccamsHub Solution

Automatically stitches OpenTelemetry trace spans into end-to-end product journeys (Checkout_Flow, Subscription_Upgrade, Search_Execution), displaying live performance, throughput, and error rates at the business-journey level.

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The Measurable Outcome

Instant cross-functional alignment during outages with real-time, business-readable visibility into user impact and SLA compliance.

Protect feature launch velocity & error budget health

Make data-driven decisions on when to ship new features vs. pay down technical debt.

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THE CHALLENGE

Feature launches often stall due to friction between Product (wanting to ship fast) and SRE (wanting to freeze deployments due to instability). Without objective metrics, decisions become political.

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The OccamsHub Solution

Auto-generates dynamic, zero-config SLO error budgets for every product journey. Tracks burn velocity in real time so product leaders know exactly how much “reliability risk budget” is available before shipping major code releases.

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The Measurable Outcome

Faster, safer release velocity backed by objective mathematical error budgets rather than subjective arguments.

Eliminate manual dashboard requests to engineering

Get immediate, natural-language answers about feature health without filing Jira tickets.

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THE CHALLENGE

Product leaders frequently have to ask data or platform engineers to run custom queries to check if a recent deployment impacted API performance or user flow latency.

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The OccamsHub Solution

Equips product leaders with a read-only, domain-aware Q&A interface. Ask plain-English questions like “How is the checkout journey performing compared to last week’s baseline?” or “Did the latest release impact latency for Enterprise tier customers?”

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THE CHALLENGE

Eliminate engineering interrupt cycles and empower product teams to self-serve operational insights in seconds.

CTO ROI summary

CTO needs

System visibility

Release confidence

Outage impact analysis

Cross-functional communication

Instrumentation effort

Legacy APMs 

Infrastructure pod and host metric

Guesswork and risk of rolling back features

Reactive - Waiting for support tickets

Engineering war rooms - jargon heavy

Months of manual end point tagging and tracking

OccamsHub

Business product journey performance

Dynamic journey based error budget tracking

Proactive - Real-time mapping of tenant performance

Customer centric performance

100% automated discovery of joruneys

Ready to see OccamsHub in action?