Opsphere

One AWS + Vercel startup operating faster

You're shipping constantly across AWS and Vercel. Opsphere helps you understand backend, frontend and deployment context together — correlating cloud infrastructure, frontend deployments, runtime health and operational evidence without forcing your stack into another platform.

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THE OPERATIONAL PAIN

Your architecture scales faster than your team

Most startups begin with a handful of services and one deployment pipeline. A year later they have multiple environments, Kubernetes clusters, Vercel deployments, cloud services and observability tools. The product scales. The operational complexity scales faster.

"We're only 12 engineers, but our stack already feels like it belongs to a company ten times our size."

— CTO, Venture-Backed SaaS Startup

  • A small team owns everything

    The same engineers building features are also responsible for deployments, infrastructure, incidents and reliability.

  • Deployments never stop

    Frontend releases, backend changes and infrastructure updates happen continuously, making incident correlation increasingly difficult.

  • Visibility is fragmented

    AWS, Vercel, GitHub, Datadog and Lambda each tell part of the story, but none provide the full deploy-to-incident picture.

HOW OPSPHERE SOLVES IT

Understand backend, frontend and deployment context together

Opsphere helps teams correlate cloud infrastructure, frontend deployments, runtime health and operational evidence — so a release, an environment change and a spike in errors are part of one operational picture.

  • Deployment Correlation

    Understand immediately whether a deployment is connected to an operational issue.

  • Cross-Stack Visibility

    Correlate AWS Lambda, API routes, Vercel previews and observability signals in one deploy timeline.

  • Faster Investigations

    Open one deploy timeline—not five tabs across AWS, Vercel and your monitors.

  • Built For Lean Teams

    Operate infrastructure like a larger company without hiring a dedicated operations department.

BEFORE / AFTER OPSPHERE

  • No deploy-to-incident link
  • AWS and Vercel siloed
  • Many dash tabs open
  • Ship alerts ignored
  • Which deploy broke
  • Chase every release
  • Deploys linked to incidents
  • AWS-Vercel ops hub
  • Deploy incident ops view
  • Deploy-linked alerts
  • Automatic deploy context gen
  • Ship with confidence
No deploy-to-incident link
Deploys linked to incidents
AWS and Vercel siloed
AWS-Vercel ops hub
Many dash tabs open
Deploy incident ops view
Ship alerts ignored
Deploy-linked alerts
Which deploy broke
Automatic deploy context gen
Chase every release
Ship with confidence

HOW OPSPHERE INVESTIGATES

Understand backend, frontend and deployment context together

Opsphere correlates cloud infrastructure, frontend deployments, runtime health and operational evidence in a single investigation. It proposes hypotheses — a Vercel release, a Lambda change, an infrastructure edit — tests each against real signals, and reports calculated confidence, a timeline and the checks that would verify the cause, without forcing your stack into another platform.

  • Cloud infrastructure, frontend deployments and runtime health in one investigation
  • Each candidate change tested against real operational evidence
  • Calculated confidence, timeline and verification conditions per hypothesis

HOW OPSPHERE KEEPS CONTEXT

Deployment history that stays useful after the incident

Environment relationships and previous investigations are retained, so the next time a release behaves oddly Opsphere can point to what changed, what was affected last time and what resolved it — instead of asking your team to reconstruct it from memory.

SCENARIO WALKTHROUGH

A release goes wrong. The team stays calm.

Here's how a lean startup team uses Opsphere to tie a bad Vercel or Lambda release to production errors fast.

Scenario: API errors after Vercel-Lambda deploy

Wednesday 15:17 UTC — a Vercel release and Lambda deploy coincide with a spike in 5xx API errors in prod.

  1. 15:17

    Opsphere detects the change

    Recent Vercel deployment, Lambda release and infrastructure changes are automatically identified.

    ⚡ Deployment timeline assembled

  2. 15:18

    Signals correlated automatically

    5xx responses, latency spikes and deploy activity link into one incident with full Vercel-Lambda context.

    🔗 Deploy-error signals auto-linked

  3. 15:19

    Root cause surfaced

    Opsphere identifies the most likely source of the degradation and highlights affected systems.

    🎯 Probable cause identified

  4. 15:26

    Issue resolved

    Rollback performed, service stabilized and incident timeline generated automatically.

    ✅ Faster recovery with complete context

READY?

Scale your product. Not your operational complexity.

Connect AWS, Vercel and the rest of your stack into a single operational intelligence layer.

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