Cloud Engineering Services: AWS & GCP

These are the problems that show up after the migration is done. They are expensive to fix late. They are straightforward to prevent early.

Cloud spend grew after migration. Finance wants to understand which costs follow demand and which come from architecture, provisioning or commitments.

The migration is done. But the system is harder to operate than what it replaced. Deployments take longer. Debugging takes longer. The team that built it has moved on.

Infrastructure works in staging. Under production traffic, latency spikes, auto-scaling misbehaves, and on-call rotations are burning out the team.

An enterprise prospect's security review surfaced architectural gaps. Multi-tenancy was never designed for. Retrofitting is expensive and the deal is stalling.

The same engineers who review your architecture are the ones who build the system.

Decision work and delivery stay connected. The team that examines the architecture carries the constraints, risk register, and acceptance evidence into implementation.

Intelligence

Defined scope · Written decision record

Get the cloud decision right before committing budget.

Execution

Milestone-based · Working platform and evidence

Build and operate with the team that shaped the plan.

DevOps & SRE

Connect delivery automation, reliability targets, observability, and incident response into one operating model.

Kubernetes Consulting

Design or improve Kubernetes platforms with practical workload, delivery, reliability, and ownership boundaries.

One accountable delivery context from diagnosis through operational handover.

Delivery evidence

Cost attribution

Explainable cloud spend

Owners, workload drivers, allocation gaps, and optimization decisions captured in a reviewable cost model.

Reliability evidence

Tested failure and recovery paths

Service objectives, failure modes, recovery procedures, and test records connected to business impact.

Migration controls

Sequenced modernization decisions

Dependencies, data movement, rollback conditions, and acceptance evidence defined before workload cutover.

Release controls

Deployment strategy matched to workload risk

Progressive delivery, observability, rollback, and approval gates selected for the actual failure consequences.

AWS Partnership

Ampity is an AWS Advanced Tier Services Partner with validated delivery designations in Amazon ECS, Amazon RDS, and AWS Transfer Family. These are not badges you apply for. They require demonstrated production delivery reviewed by AWS.

Our cloud engagements also cover GCP for teams running multi-cloud or Google-native workloads.

Reference Implementation Patterns