Case Study
YuGrow AI Coach Platform
YuGrow partnered with Tati Software to develop an intelligent AI coaching platform designed to deliver personalised, continuous, and context-aware coaching experiences. By …
Read case studyShip software faster. Break less along the way.
We build the pipelines, infrastructure and automation that let your team deploy with confidence — using AWS's own DevOps tooling and practices.
Tell us about your current release process and where it's slowing you down. We'll recommend the right automation to fix it.
See how we've delivered DevOps solutions for our clients.
Case Study
YuGrow partnered with Tati Software to develop an intelligent AI coaching platform designed to deliver personalised, continuous, and context-aware coaching experiences. By …
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Case Study
ParentSense partnered with Tati Software to modernise its digital parenting platform through a scalable, cloud-native AI architecture designed to support intelligent and …
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Case Study
DigiSquad partnered with Tati Software to modernise and operate the DigiMali VAS platform on AWS using a governed Cloud Operations model designed …
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Case Study
The client operates across multiple African countries, supporting entrepreneurs with business establishment and growth through structured development programmes. Their services include mentorship, …
Read case studyDevOps combines automation, monitoring and collaboration so teams can release software faster without sacrificing stability.
Continuous delivery, infrastructure as code, observability, containers and security — working together.
Automated build, test and deployment on every code change.
Provision and version-control your AWS infrastructure.
Real-time visibility into builds, deployments and production.
Build and deploy microservices without managing servers.
Access control and policy enforcement built into delivery.
Automated build, test and deployment pipelines.
Repeatable, version-controlled infrastructure on AWS.
Remove manual steps to reduce errors and speed delivery.
Monitoring and logging built into your delivery process.
Design and build automated pipelines for your applications.
Discuss Pipeline SetupTurn manual AWS configuration into version-controlled templates.
Discuss Infrastructure as CodeOngoing DevOps capability embedded in your engineering team.
Discuss an Embedded TeamCurrent build, test and release process.
Stages, gates, environments and approvals.
Continuous integration and testing.
Version-controlled, repeatable environments.
Monitoring and alerting on every deployment.
Continuously improve speed and reliability.
Built on AWS's own DevOps services, not bolted-on tools.
We understand the code running through the pipeline.
IAM and policy as code from day one, not an afterthought.
Ongoing support as your pipelines and team evolve.
They overlap. DevOps focuses on building and shipping software; Cloud Operations focuses on running it in production.
We default to AWS-native services like CodePipeline and CloudFormation, and integrate third-party tools where they add clear value.
Yes. We start by assessing your current process before automating or replacing any part of it.
A focused pipeline can be running within weeks. Scope and timeline follow an initial assessment.
Not necessarily. We integrate with what's working and automate what isn't.
Yes — from an embedded team to periodic support as your pipelines and infrastructure evolve.
Get the pipelines, infrastructure and automation your team needs to release reliably.