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Project case study

DevOps Case Studies

Leveling up DevOps with seamless end-to-end testing
and fully automated release cycles for continuous integration (CI).

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Problem Statement

In the industry our client was the first Software Delivery Platform to use AI for simplifying the DevOps processes. Agyom was responsible to automate the entire process of Continuous deployment and Continuous Integration on GCP using Kubernetes. The results were achieved by using End to End managed pipeline delivery systems using GCP and different SCMs for automated deployments and Integrations

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Our Solution & Process

Assessment

Solution

Implementation

Innovation

VALUABLE RETURNS

Agyom’s proficient Test Architects and delivery team implemented a unified solution for testing the native cloud(GCP) calls to create PODs, containers and also their statuses. Also, we successfully achieved testing the SCM API call registrations with the help of native GIT APIs in getting the statuses of the PR events like Auto Webhook registrations, PR pipeline statuses, event webhook status etc. We achieved –

70%

Increased test coverage

100%

Delivered a scalable solution handling 10x user growth.CENTRALIZE STANDARD REPORTS, Achieved UNIFIED SOLUTION across teams

40%

ROI increased

60%

faster time to market with fully automated Infra provisioning & CI-CD Pipeline

Through techniques like card sorting and site mapping, IA aims to create a clear and intuitive navigation system that guides users through the interface seamlessly. Effective information architecture lays the foundation for a positive user experience, helping users navigate complex information landscapes with ease and confidence.

Tools We Used

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