Capability
Cloud & platform engineering
Engineer landing zones, supported delivery paths, observability, recovery and platform ownership for application teams across cloud and hybrid estates.
Page purpose
What the Cloud & platform engineering capability delivers and how it connects to the modernization lifecycle.
VERTEX operates cloud and platform engineering as a delivery service with two linked queues: workload change and platform-product improvement. The team baselines representative workloads, implements a supported path, executes bounded migrations or onboarding and transfers measurable operating responsibility.
Each increment has a consumer, acceptance owner, rollback position and support boundary. Shared identity, networking, delivery, observability and recovery capabilities are implemented where they remove repeated work, while workload exceptions remain visible engineering tasks.
When to use this capability
Situations that call for this delivery capability.
- Lift-and-shift programs move existing cost, fragility and operational gaps without changing their causes.
- Application teams repeatedly assemble identity, networking, delivery, observability and recovery in inconsistent ways.
- Cloud spending and service sprawl grow without workload ownership, consumption visibility or exit considerations.
Service scope
Outputs a buyer can inspect.
- Engagement backlog combining workload readiness, platform gaps, dependencies, acceptance owners and sequencing.
- Configured platform increment with reusable modules, supported usage documentation and an exception route.
- Onboarding or migration execution record with validation results, rollback evidence and unresolved actions.
- Service-transition pack covering ownership, support, recovery duties, consumption review and the next improvement queue.
Delivery pattern
From discovery to acceptance evidence.
- Form a joint workload and platform squad, then baseline the first consumers, operational constraints and acceptance authority.
- Convert readiness gaps and repeated engineering into one ordered backlog with explicit workload and platform owners.
- Implement the smallest supported path and onboard a representative workload through delivery, security, telemetry and recovery.
- Run bounded waves, close acceptance actions and feed consumer and service evidence into the next platform increment.
Operating value
The operating change that should remain.
- A prioritized workload and platform backlog with accepted scope, dependencies and release gates.
- A usable supported path that application teams can consume with less repeated setup.
- Workloads onboarded or moved with exercised recovery, known consumption and assigned service ownership.
Performance evidence
Evidence of impact, not activity completion.
- Elapsed time for a team to complete the supported path from request to an observable environment.
- First-pass acceptance rate for workload onboarding or migration increments.
- Share of platform demand handled through supported self-service versus assisted or exception work.
- Recovery-exercise completion and observed consumption variance for transferred workloads.
Delivery boundaries
Boundaries that keep delivery honest.
- Platform work can outpace consumer onboarding and create supported paths that have not been exercised by real teams.
- Migration and platform backlogs can compete for the same specialists without a shared release priority.
- Service ownership can remain incomplete when acceptance focuses on technical deployment rather than operating transfer.
Decision questions
Questions that bound the capability before engagement.
How does a cloud and platform engagement begin?
It begins with a small set of representative consumers and a joint backlog. Their real onboarding, migration and operating needs determine the first supported platform increment.
What happens when a workload cannot use the supported path?
The deviation becomes an owned exception with its requirement, risk, support consequence and review point recorded. Repeated justified exceptions can become candidates for the platform roadmap.
Related decision