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Case Study

AWS DevOps automates release management


Traditionally, the release of software updates is often characterised by disruptions to services and inconvenience for end users. In their work for Spike Diamond, PCG was able to demonstrate how DevOps and release management ensures that software changes are introduced in a coordinated manner and downtime is kept to a minimum.

About Spike Diamond

Spike Diamond is a UK-based publisher known for online publications such as Holler Country, an online magazine covering news and insights from the world of country music.

The Challenge

While working on Holler Country, Spike Diamond reached out to PCG with the goal to make their release management more efficient and automate the deployment through all stages of development. Holler Country was deployed in a serverless setup in AWS. The objective was to achieve superior productivity for the development team, without compromising quality. Optimising the development process by removing all manual and repetitive steps related to deployment in it was a natural step in that direction.

The Solution

PCG made an analysis and discussed the current development processes with the customer. They were open to change the process to fit completely with PCG’s predefined templates for an AWS DevOps pipeline.

The template creates a new CodePipeline using CloudFormation for each feature branch. After the mandatory automated testing, QA and PO approval, the code is automatically merged to the master branch in CodeCommit, tested again and deployed to production. The automated testing includes unit tests and integration tests with specific focus on security and penetration. Upon a successful merge all the provisioned resources related to the feature branch are automatically removed.

The templates were implemented with smaller adjustments to the development process and now Spike Diamond follows a SCRUM process for project management and planning complemented with an automated CI/CD pipeline for release management.

Architecture diagram
Architectural diagram
Results and Benefits

The implemented pipelines remove the manual steps in release management, directly contributing to the efficiency of the process. As a result, features are deployed more frequently with high quality. The solution further enables the development team to work on multiple feature branches in parallel, test the features independently and remove dependencies between the development team members, achieving the desired productivity.

It was measured that automating the previously manual steps freed up to 25% of the time from the developers’ workload, that can instead be spent on developing new features.

About PCG

Public Cloud Group (PCG) supports companies in their digital transformation through the use of public cloud solutions.

With a product portfolio designed to accompany organisations of all sizes in their cloud journey and competence that is a synonym for highly qualified staff that clients and partners like to work with, PCG is positioned as a reliable and trustworthy partner for the hyperscalers, relevant and with repeatedly validated competence and credibility.

We have the highest partnership status with the three relevant hyperscalers: Amazon Web Services (AWS), Google, and Microsoft. As experienced providers, we advise our customers independently with cloud implementation, application development, and managed services.

Services Used

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