One Platform Team operating at enterprise scale
Your platform team owns Kubernetes, Terraform, Argo CD, AWS and internal developer tooling. Opsphere becomes the operational intelligence layer that connects them — so every escalation gets a structured investigation and your engineers spend more time improving the platform.
THE OPERATIONAL PAIN
You built the platform. Now you have to operate it.
Platform teams are expected to support dozens of engineering squads, hundreds of services and multiple environments. Every incident becomes your incident. Every team depends on your visibility. Yet operational knowledge remains scattered across dozens of tools.
"We successfully built our internal platform, but every production issue still ends up in the platform team's queue because nobody has the full picture."
— Principal Platform Engineer, Enterprise SaaS Company
Everything escalates to platform
When services fail, deployments break or infrastructure degrades, platform engineering becomes the default escalation path.
Platform graph remains incomplete
AWS, Kubernetes, Terraform, Argo CD, GitHub and observability platforms all tell part of the story, but none provide the complete picture.
The platform grows faster than visibility
As more teams adopt your platform, dependencies multiply and operational complexity increases exponentially.
HOW OPSPHERE SOLVES IT
The operational intelligence layer your platform is missing
Opsphere sits above your infrastructure, deployment and observability stack, building reusable operational context and structuring investigations across every environment and service.
Cross-Stack Visibility
Understand relationships across Kubernetes, Terraform, Argo CD, cloud infrastructure and applications from a single operational view.
Dependency Correlation
Opsphere automatically maps service, infrastructure and deployment dependencies, eliminating manual investigation work.
Operational Context Generation
Every incident arrives with affected services, deployments, infrastructure resources and probable root causes already identified.
Platform-Wide Awareness
Operate hundreds of namespaces and GitOps apps without needing dozens of dashboards and manual workflows.
BEFORE / AFTER OPSPHERE
- 15+ dashboards
- Manual dependency tracing
- Multiple disconnected tools
- Unclear ownership
- Fragmented context
- Reactive operations
- One platform ops graph!
- Automatic correlation
- Cross-system context
- Mapped ownership
- Complete context
- Proactive operations
HOW OPSPHERE INVESTIGATES
Give every escalation a structured investigation, not a guess
When an incident lands in the platform queue, Opsphere structures the cross-system investigation: parallel hypotheses across Kubernetes, Argo CD, Terraform-managed infrastructure and observability, evidence pulled from each system, calculated confidence, a timeline and the conditions that would verify the cause — so the platform team spends its time improving the platform, not reconstructing context.
- Parallel hypotheses across clusters, GitOps apps and managed infrastructure
- Evidence gathered from each system rather than copied into Opsphere
- Calculated confidence, a timeline and verification conditions for the escalation
HOW OPSPHERE KEEPS CONTEXT
Platform knowledge that compounds instead of resetting
The dependency relationships Opsphere maps and the investigations it runs are retained across every squad and environment. Recurring operational problems are matched to previous findings, so the platform team's hard-won context is reused rather than rebuilt each time a new team is affected.
SCENARIO WALKTHROUGH
A production incident. No guessing required.
Here's how a platform engineering team uses Opsphere to understand and resolve a multi-cluster production issue in minutes.
Scenario: Cross-cluster deployment degradation
Monday 14:08 UTC — service latency increases after a GitOps deployment across multiple Kubernetes clusters
- 14:08
Opsphere detects abnormal behaviour
Correlated signals across Kubernetes, Argo CD and Datadog identify affected services and environments automatically.
⚡ Context generated immediately
- 14:08
Deployment dependency identified
Opsphere links the incident to a recent Argo CD sync and surfaces impacted downstream services.
🔗 Dependency graph mapped automatically
- 14:09
Platform team receives complete context
Affected clusters, namespaces, deployments and Terraform-managed infrastructure are already correlated.
📋 No manual investigation required
- 14:16
Issue resolved and documented
Rollback completed, services recovered and operational timeline generated automatically.
🎉 Faster resolution with full traceability
READY?
Operate clusters. Not your ticket queue.
Connect your stack, unify operational context and give your platform team the visibility it deserves.