Cloud Platform Engineering Services

Single-account sprawl

One AWS account that worked fine for the first team. Then the company grew, and now everyone has too much access to everything. No environment separation. A misconfiguration in dev can reach prod.

VPC as a constraint

Network topology that made sense for the first service is now a bottleneck for every new one. Subnets are exhausted. Security groups are a tangled graph nobody fully understands.

Decisions made under pressure

The initial platform choices were fast, not deliberate. They worked. Now they compound. Changing account structure, IAM boundaries, or data residency after the fact is an order of magnitude harder.

No paved roads

Every new service reinvents its own deployment pattern. No shared templates, no standard CI/CD pipeline. Engineers spend as much time on infrastructure plumbing as they do on product work.

Design for your trajectory

AWS or GCP, depending on your use case and where your team has expertise. We plan account structure, networking, and IAM for where you're headed, not just where you are.

Build the platform

Containers on ECS or EKS, managed databases, secrets management, observability, and infrastructure as code. Key decisions are documented so your engineers understand the system they inherit.

Pave the roads

Opinionated deployment patterns, service templates, and CI/CD pipelines. Your engineers ship features without reinventing infrastructure for every new service.

Production-ready Infrastructure

Containers, databases, networking, and secrets management. Running, tested, and documented.

Deployment patterns and templates

Standard CI/CD pipelines, service scaffolding, and deployment workflows your team reuses for every new service.

Decision documentation

Material architectural choices are recorded with the reasoning, alternatives considered, and tradeoffs accepted, so future changes do not depend on memory alone.

Self-service

Paved paths cover common provisioning, deployment, observability, and support tasks with controlled escape routes.

Governed

Identity, network, secrets, policy, cost attribution, and change controls are part of the platform contract.

Operable

Failure modes, service objectives, runbooks, ownership, and recovery evidence accompany each platform capability.

Adopted

Platform success is measured through product-team outcomes and usage, not the number of components installed.

Cloud Architecture & System Design

When you need the architecture designed before building starts. System review, tradeoff analysis, and a written plan.

Infrastructure as Code

Terraform and CloudFormation done right. Reproducible, auditable infrastructure your team can maintain.

CI/CD & Observability

Deployment pipelines, monitoring, and alerting. Ship confidently and know when something breaks.

Amazon ECS Delivery

Container applications moving into production

Relevant when your application needs an ECS deployment model, including workloads on AWS Fargate. The work connects task sizing, service scaling, deployment health, identity and network boundaries to your application's operating needs.

Agree deployment checks, rollback behavior, observability and ownership before cutover.

AWS's announcement lists Ampity for Containers and Serverless Computing.

Amazon RDS Delivery

Database migrations with a recovery plan

Relevant when a relational database needs migration or modernization on Amazon RDS. Assess engine compatibility, data integrity, connection behavior, backup and recovery, availability requirements and query performance before changing the production path.

Define data reconciliation, restore checks and workload-specific acceptance criteria.

AWS's announcement names Amazon Aurora PostgreSQL and Amazon RDS for MySQL. This recognition does not cover every RDS engine.

What is platform engineering?

Platform engineering builds shared tools, infrastructure and self-service workflows so product teams can build, deploy and run software without managing every detail themselves.

What is an internal developer platform?

A set of self-service capabilities, often called golden paths, for creating services, environments and deployments with security and standards built in.

Do we need a platform team?

It becomes valuable when several teams repeat the same infrastructure work or when inconsistent setups create reliability and security risk.

How do you measure platform engineering success?

Through developer adoption, time to first deployment, lead time, change failure rate and the amount of repeated infrastructure work removed from product teams.

Can you build a platform on our existing cloud setup?

Yes. We build on your current AWS or GCP accounts, Kubernetes clusters and CI/CD tooling rather than replacing everything at once.