One Platform Team operating at enterprise scale
Your platform team owns Kubernetes, Terraform, Argo CD, AWS and internal developer tooling. Opsphere becomes the operational layer that connects everything together, so your engineers spend less time investigating and 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.
Operational context is fragmented
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 layer your platform is missing
Opsphere sits above your infrastructure, deployment and observability stack, continuously building operational context 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 services and environments 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 operational layer
- Automatic correlation
- Unified visibility
- Mapped ownership
- Complete context
- Proactive operations
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 the platform. Not the dashboards.
Connect your stack, unify operational context and give your platform team the visibility it deserves.