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Scale- Up Engineering Orgs

Build Deliver Pipeline Consistency.

Vertro helps growth- stage SaaS companies replace team- by- team pipeline variation with one standardised delivery path on GCP. As engineering headcount grows, infrastructure, environments, and deployment workflows tend to drift team to team - we bring every team back onto the same approved standard, without slowing anyone down.

Fix pipeline drift before it multiplies w ith headcount.

  • Reduced Cost

Standardised infrastructure removes the redundant.

  • Deployment Velocity

Applications move through the same approved delivery.

  • Consistency

Infrastructure, repositories, identity, namespaces.

  • Built-in Security

Pre-configured security policies applied.

• 30 min demo   • Complimentary   • No commitment required

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Key Capabilities

Faster Onboarding

Get new applications onto an approved delivery path in hours instead of waiting through multiple platform ticket cycles.

Less Repeated Work

Infrastructure, repositories, identity, namespaces and delivery workflows generated from reusable standards instead of being built manually.

No Single Point of Failure

Standardised, documented delivery paths mean releases don't depend on one engineer's tribal knowledge.

Reduced Cost

Standardised infrastructure removes the redundant, team-specific provisioning that drives up spend as headcount grows.

From Request to Governed Delivery

See how Vertro standardizes Application onboarding on Google Cloud.

Watch the workflow play automatically, or select any step to see how infrastructure, identity, secure delivery, and governance are applied.

Step 01

Request

A developer requests a new Application through a standardized workflow.

What's actually happening

  • Capture the Application name, owning team, Workload Type, and target Environment.
  • Validate the request against approved platform standards and required metadata.
  • Replace disconnected tickets and onboarding forms with one traceable request.
  • Developers do not need deep infrastructure or Kubernetes expertise to begin.

Step 02

Provision

Approved Google Cloud infrastructure and platform configuration are generated through controlled workflows.

What's actually happening

  • Google Cloud projects, IAM, Cloud SQL, Secret Manager, Cloud Storage, Artifact Registry, and required labels are provisioned from approved patterns.
  • Application and infrastructure repositories are generated from Golden Path templates.
  • GKE namespaces, quotas, labels, and baseline policies are configured consistently.
  • Runtime access is established through GKE Workload Identity Federation without long-lived Google Cloud keys.

Step 03

Wire CI/CD

A secure GitHub Actions delivery workflow is generated from approved platform templates.

What's actually happening

  • GitHub Actions authenticates to Google Cloud through external Workload Identity Federation.
  • Private ARC runners execute workflows inside the Platform GKE environment.
  • Build, test, secret scanning, SAST, dependency scanning, IaC scanning, and container image scanning follow the standard delivery path.
  • Artifacts are pushed to Artifact Registry and identified by immutable image digest.

Step 04

Deploy

Applications are promoted to GKE through an approved GitOps delivery path.

What's actually happening

  • Helm packages the Application using the approved Workload Type and runtime configuration.
  • Argo CD reconciles the desired Application state into the target GKE Environment.
  • The same immutable artifact is promoted between Environments instead of being rebuilt.
  • Approvals and promotion controls can be applied before higher-risk Environment changes.

Step 05

Govern

Platform standards remain enforced after onboarding and deployment.

What's actually happening

  • Config Sync reconciles namespaces, quotas, labels, and platform configuration from Git.
  • Policy Controller enforces admission policies and blocks non-compliant changes where required.
  • Binary Authorization and artifact controls restrict deployment to approved images.
  • Requests, pull requests, workflow results, approvals, policy decisions, and deployments create an auditable delivery trail.
Playing automatically — click a step to explore.

Proven Results

Platform Engineering

Pipelines diverging as headcount grows past the point anyone' s tracking it.

< 1 Day

Deploy ment Lead Time.

Deployment Velocity

Standardise uneven pipeline maturity across teams (some fast, some stuck rebuilding basics).

5x

Quicker Deployment Velocity.

Cost

Removed orphaned snapshots, excess backup retention and premium- tier storage.

15-20%

Savings

We've Worked With:

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In 30 minutes, learn how Vertro standardises onboarding, infrastructure, and delivery on your own GCP environment as your engineering org scales.

  • Reduce GCP spend by 20% by standardising infrastructure.
  • Increase deployment velocity by up to 5x.
  • Get every team and every new application onto the same approved delivery path.
  • Enforce one set of infrastructure, identity, and delivery standards across the whole org.
  • Remove the single- person dependency and key-man risk.