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Pharmaceuticals

Pharmaceuticals

Leading Pharma Services Provider Fuelling Innovation on AWS using Modern DevOps

Solution-background
Customer overview

Customer is a Global Capability Centre designed to provide diverse capabilities across functions and expand with SMEs, prioritizing customer centricity and delivering excellence. It is a customer-centric company designed as a centre of excellence for specialised services to support numerous business needs. A comprehensive, customer-first company and the right fit for all pharma-related services, including technical services. They’re offering services like Life Science Capabilities, Digital Innovation and Capabilities, and Business Services.

Quadra-at-work
Challenges

The Customer IT team struggled to release software versions on time due to the absence of an automated release process. Without a standardized Software Development Life Cycle (SDLC) and relying on manual build, test, and deployment processes, they faced month-long delays, significantly slowing the delivery timeline. Consequently, feature updates were limited to once per 3-to-4 months, negatively impacting business operations and user experience. Additionally, Customer's current infrastructure heavily relies on Amazon EC2 instances for deploying and managing applications. To optimize costs and efficiency, they aimed to re-architect their application into a serverless design. The goal was to automate the deployment process, improve resource utilization, and enable the team to focus more on application development rather than infrastructure management. The Customer team sought assistance in automating the deployment of applications on a serverless architecture, following the recommended best practices.

Business-benefits
Quadra at work

Understanding customer's business and technical challenges, Quadra, as an AWS partner, delivered DevOps solutions using native AWS Developer tools to implement fully automated CI/CD pipelines and re-architect cloud-native solutions.

Automated software releases were achieved using AWS Code Pipeline for the React and Node.js tech stack. The process integrated source code with a well-defined branching strategy followed by builds, tests, and deployment phases, packaging the final output as a zip code package to an S3 bucket. The pipelines were configured with automatic rollback mechanisms to handle deployment failures.

Version-controlled Infrastructure as Code (IaC) with AWS CloudFormation templates automated the provisioning of a serverless environment, ensuring Services consistency across all environments and adherence to predefined configurations, along with rollback capabilities.

  • AWS CodeCommit for effective source code management to improve collaboration and tracking features for the software development team.
  • Static Code Analysis using AWS CodeGuru Security.
  • AWS CodeBuild for automated builds, tests, and reports, and AWS Code Pipeline for a complete end-to-end CI/CD pipeline setup for fast and reliable application and infrastructure updates.
  • Once the code is committed, AWS Code Pipeline is triggered, pulling the code from the source repository. It then executes the build phase and runs tests using AWS Code Build. Upon successful completion, the final artifacts are deployed to an S3 bucket, with Lambda functions handling the backend and S3 serving the frontend.
  • AWS Lambda functions as serverless compute for the backend and API Gateway to invoke those functions.
  • Amazon S3 for hosting the frontend, served via Amazon CloudFront.
  • Visibility into pipeline execution and histories with detailed logs and metrics for monitoring and troubleshooting using Amazon CloudWatch.
  • Automated Infrastructure provisioning using AWS CloudFormation.
Quantifiable Improvements

Leveraging Modern DevOps tools and practices improved customer team’s productivity in several aspects:

  • Fully automated AWS CI/CD solution eradicated the risk of manual-prone errors entirely and accelerated the development cycle by 50%.
  • Leveraged fully managed services, reducing operational overhead on Infrastructure provision and management by 80%.
  • Eliminated individual/developer dependency for builds and tests.
  • Increased developer productivity by 70%,allowing them to focus more on product engineering and delivering new features, as AWS Developer tools automate the builds, tests, and deployments.
  • CI/CD pipelines enabled continuous feedback loops, with automated builds and tests providing rapid feedback on code changes. This feedback loop facilitates quick iteration, bug fixing, and feature refinement based on real-world usage and feedback.
  • Increased services uptime SLA by 99% through implementing high availability architecture for applications and leveraging fully managed AWS services.

More Happy Customers

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