Cloud software consultancy
Get your cloud project into production
GajaTech removes the obstacles holding back your software delivery, with hands-on development and technical guidance across Azure and AWS.
From the development environment through code and deployment, GajaTech works alongside your team to turn plans into working software.
Tell us about your projectBring the pieces together
Getting software into production takes more than working code. Development environments, application components, infrastructure, and deployment all need to work together.
GajaTech works with your team to connect those pieces, working through the technical decisions and implementation needed to build, test, and release software reliably.
Practical work that moves delivery forward
Find what’s getting in the way
Make development and deployment repeatable
Build and connect the software
Start with a clear piece of work
The first engagement focuses on a clear outcome. That could be a review with recommendations, a reproducible development setup, or getting a part of your system working.
Before work starts, we agree what will be delivered, how we’ll assess it, who is responsible for what, and the commercial terms in writing. Any further delivery support is agreed separately.
Who you’ll work with
Experience bringing the pieces together
These examples describe work Ra-el has personally delivered.Getting a document-processing pipeline live Link to heading
I joined a project where separate components were failing to work together. I got the development setup working, implemented Python Lambda functions, and resolved integration defects.
Working with the operations engineer, I helped harden the system and get it into production, then spent two weeks fixing minor bugs and adding features.
Reviewing a SaaS product ahead of growth Link to heading
Alongside an enterprise architect, I carried out a one-week review of a SaaS product that was already difficult to deploy for new customers and sites.
We interviewed people across product and engineering and investigated what made deployments difficult. We recommended simplifying the system and making its behaviour easier to understand.
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