One e-commerce platform with complete operational visibility
Your storefront depends on dozens of interconnected services, providers and pipelines. Opsphere helps engineering teams investigate distributed failures across services and dependencies — evaluating deployment, application, infrastructure, dependency and edge hypotheses against real operational evidence.
THE OPERATIONAL PAIN
A checkout failure is never just a checkout failure
Modern e-commerce platforms run on dozens of services: storefronts, payment gateways, inventory systems, order processing, search engines, recommendation engines and third-party APIs. When something breaks, the impact spreads quickly across the business.
"The issue started in inventory, surfaced in checkout, triggered customer complaints and ended up looking like a frontend bug. It took hours to find the real cause."
— Head of Engineering, International E-commerce Company
Everything depends on everything
Checkout, inventory, search, payments and fulfillment are tightly connected. A failure in one service quickly impacts the entire customer journey.
Every minute affects revenue
Operational incidents are not just technical problems. They directly affect conversions, orders and customer experience.
Third-party dependencies increase risk
Payment providers, shipping platforms, search engines and content systems add operational complexity that is difficult to correlate manually.
HOW OPSPHERE SOLVES IT
Investigate distributed failures across services and dependencies
Microservice failures rarely have a single obvious source. Opsphere evaluates deployment, application, infrastructure, dependency and edge hypotheses against real operational evidence, while retaining relevant context from previous investigations.
Service Dependency Mapping
Understand how checkout, inventory, payments, search and fulfillment interact in real time.
Business-Aware Correlation
Connect technical incidents to customer-facing impact and affected business flows.
Third-Party Visibility
Correlate operational issues across payment gateways, search providers, CMS platforms and external APIs.
Complete Incident Context
Receive operational context that spans services, infrastructure, deployments and dependencies automatically.
BEFORE / AFTER OPSPHERE
- Commerce ops blind by service
- Hand-drawn failure chains
- Separate payment ops monitoring
- Unknown revenue impacts
- Scattered commerce ops data
- Revenue lost while tracing
- Checkout path visible
- Automatic checkout chain map
- Payment stock vendor map
- Revenue impact surfaced
- Complete commerce op context
- Faster revenue saves
HOW OPSPHERE INVESTIGATES
Evaluate deployment, application, infrastructure, dependency and edge hypotheses at once
A checkout failure rarely has one obvious source. Opsphere runs the deployment, application, infrastructure, external-dependency and edge hypotheses in parallel against real operational evidence, assigns calculated confidence to each, orders events on a timeline and states the verification conditions — so the team can act on the likely cause instead of chasing the loudest symptom.
- Deployment, application, infrastructure, dependency and edge hypotheses in parallel
- Evidence from services, Kubernetes, the CDN and third-party providers
- Calculated confidence, a timeline and verification conditions for each path
HOW OPSPHERE KEEPS CONTEXT
Recurring failure modes don't start from zero
Relevant service relationships and previous investigations are retained. When a similar distributed failure returns — the same payment provider slow again, the same dependency chain degrading — Opsphere surfaces the earlier findings and what verified the cause, so peak-traffic incidents are shorter the second time.
SCENARIO WALKTHROUGH
Checkout is failing. Revenue is protected.
Here's how an e-commerce engineering team uses Opsphere to resolve a multi-service incident affecting online sales.
Scenario: Checkout degradation during peak traffic
Friday 18:42 UTC — payment failures increase while checkout latency spreads across multiple services
- 18:42
Opsphere detects abnormal behaviour
Signals from checkout, payment APIs and order services are automatically correlated.
⚡ Cross-service incident identified
- 18:43
Dependency chain mapped
Opsphere identifies a payment provider latency issue affecting downstream checkout workflows.
🔗 Third-party dependency isolated
- 18:44
Business impact surfaced
Affected customer journeys, services and operational dependencies are presented in one view.
📊 Technical and business context combined
- 18:51
Traffic stabilized
Mitigation completed, affected services recovered and incident timeline documented automatically.
✅ Revenue-impacting issue resolved faster
READY?
Operate your platform like a connected system.
Bring storefronts, microservices, infrastructure and third-party providers into a single operational intelligence layer.