Energy and utilities
Bringing Google Cloud to a team with a large AWS estate
How a Fortune 100 utility is building its Google Cloud foundation and giving developers an easier way to use approved AWS patterns.
A Fortune 100 utility
The utility is taking on two connected challenges. It needs to build in Google Cloud before its team has years of experience with the provider, without repeating mistakes from its AWS estate. It also needs a more consistent way for developers to use its existing AWS capabilities. In both cases, the goal is to put cloud expertise and company standards into delivery without making every application developer a cloud specialist.
The customer journey
How we're working together.
Expertise delivered one request at a time.
Expertise built into the way teams deliver.
Establish the foundation
A new cloud, without relearning old lessons.
The customer had a clear starting point. Its next cloud foundation needed to reflect what it had learned in AWS, even though Google Cloud was new territory for the team. Waiting to build years of provider experience was not an option.
We helped the team rapidly develop rulesets around Google Cloud best practices and its own security and architecture requirements. Those rules made the guidance available across the platform engineering team as it established the landing zone. Engineers could develop with that knowledge in the workflow and verify the infrastructure against it, rather than discover the same lessons through trial and error.
Understand the estate
The existing estate became part of the story.
The new foundation was only one part of the challenge. The team also needed to understand what was already there and how its resources fit together.
Our work brought infrastructure discovery and interactive architecture diagrams into that process. Connecting the architecture to the code behind it gave cloud and application teams a shared way to explore the environment, discuss a change, and understand the context before building on it.
Scale the expertise
The next challenge was making that expertise available to everyone.
Across the existing AWS estate, the cloud team already had patterns it wanted developers to follow. But an approved module alone did not make those patterns easy to use. Developers still needed to understand the cloud, infrastructure as code, and the company's implementation choices.
We helped turn those modules into golden paths available through the developers' existing tools and agents. The cloud team's knowledge became part of how the work was done. Developers could describe what they needed while the approved implementation stayed behind the scenes.
Deliver the business need
The application became the developer's focus again.
That connected the two sides of the engagement. In Google Cloud, the team could build with knowledge it was still acquiring. In AWS, it could make established knowledge available much more widely.
The delivery model starts with the application a developer wants to build. Infracodebase uses those patterns and requirements to prepare and verify the supporting infrastructure. The cloud team reviews a concrete proposal. Application developers can focus on software that serves the business, while cloud specialists concentrate on the foundations and reusable capabilities that multiply their impact.
The business value
What this means for the team.
Build in a new cloud without waiting to acquire every lesson through experience. Make the established cloud more consistent through reusable golden paths. Both give application teams more room to deliver business value and cloud specialists more time for the work that needs their expertise.
Scale expertise
Make the cloud team's approved patterns available across application teams, instead of explaining and implementing them request by request.
Focus specialist time
Move routine implementation toward guided self-service so cloud engineers can focus on architecture and capabilities the whole organization can reuse.
Bring governance forward
Guide the work with requirements from the start and give reviewers verification evidence alongside the proposed infrastructure.
Explore the workflows
Build landing zones and application infrastructure
Establish a new cloud foundation and build the infrastructure your applications and AI agents need.
Explore use caseKeep architecture diagrams and code in sync
Document new and existing infrastructure with interactive diagrams connected to the code behind them.
Explore use caseLet developers use your approved cloud patterns
Make approved infrastructure patterns available through the tools and agents developers already use.
Explore use caseStart with a real infrastructure challenge.
Bring a workflow, an existing stack, or a new cloud project. We can walk through where Infracodebase fits and what your team would review.