Customer overview

Customer is a technology-focused, data-driven startup providing end-to-end connected mobility solutions to fleet owners and businesses, enabling better control of their vehicles and assets. Its intelligent fleet management and GPS tracking software helps companies manage day-to-day tasks in a modern, reliable, and user-friendly way, avoiding the need for spreadsheets and inflexible software.

The Customer team has already begun their digital journey by hosting their application, in the cloud. Customer application is a fleet management system that provides comprehensive information about fleets, including fuel capacity, driver performance, routes taken, and predictive maintenance alerts.
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Business Need

Non-Automation process and practices led Customer Team in struggling to provision of infrastructure and releases of newer software versions, which directly hindered the organization's ability to innovate, respond to demand in requirements, and deliver value to their customers quickly.

Their entire IT and application team, spent over 40 to 45 days per release, including developers, testers, and infrastructure admins, due to the manual efforts required for builds, tests, and releases.

Customer wanted a holistic solution which should address the following challenges in their current architecture setup:

• Inconsistent builds of container image and difficulties in version tracking
• Manual deployments causing delays in release frequency and creating operational bottlenecks.
• Lack of Static Analysis Security Testing (SAST).
• Challenges in maintaining and tracking changes, versions, and deployments during rollouts and rollback processes.

These pain points led customer to seek AWS expertise for an AWS-native DevOps solution with standard security practices for seamless application deployment and Infrastructure Automation.

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Quadra at Work and Solution Design

Quadra’s AWS Solutions Architect Team collaborated with customer to establish a robust CI/CD pipeline for their Next.js application, incorporating automated build, test, and deployment stages, along with an automated rollback mechanism to ensure reliability in case of any stage failures.

• AWS CodeCommit: Employed for secure private GIT repository to maintain the code base and track changes
• AWS CodeBuild: Used for automating builds, tests and reports
• AWS CodeGuru Security: Utilized for static application security testing (SAST)
• AWS CodePipeline: Initiated for orchestrating end-to-end software release pipelines
• Amazon ECS: Used as an AWS native container orchestration platform
• Amazon ECR: Utilized as a secure storage repository for container images with scanning feature enabled
• Amazon CloudWatch: Provided visibility into pipeline execution with detailed logs and metrics for monitoring and troubleshooting
• AWS CloudFormation: Infrastructure automation with version control enabled
• Amazon CloudWatch: Enhanced visibility into pipeline execution and histories with detailed logs and metrics