Jenkins CI/CD Automation Case Study for Smart Building Platforms on AWS
Executive Summary
Ficode modernized the software delivery process for a UK-based smart-building platform by implementing a Jenkins-based CI/CD automation framework across 19 backend services, web applications, and mobile platforms. By replacing manual deployment processes with automated pipelines, version-controlled releases, and rollback mechanisms, we improved deployment reliability, accelerated software delivery, and established a scalable DevOps foundation on AWS.
Client Overview
Our client is a UK-based smart-building technology provider delivering cloud-based building management solutions for commercial properties. As the platform expanded, manual deployment processes became increasingly difficult to manage across backend services, web applications, and mobile platforms. The client requires an AWS-based DevOps automation framework to standardize deployments, reduce operational risks, and support faster software releases.
Business Challenges
The organization relied heavily on manual deployment processes that slowed software delivery, increased operational risk, and created dependency on specialized engineering knowledge. Without CI/CD automation, deployment standardisation, and automated rollback mechanisms, the team faced challenges of scaling release operations while maintaining platform reliability.
For a commercial smart-building platform serving enterprise clients in live buildings, this model created real business risk:
- Deployments could not be delegated to junior team members without significant coaching.
- A server reboot meant all services had to be manually restarted, one by one, from memory.
- There was no way to roll back a failed deployment except by manually undoing the changes that caused it.
- Build results varied depending on which machine ran the build and which version of shared dependencies happened to be cached there.
- The team could not increase release frequency without increasing the operational burden on the engineers responsible for deployments.
Ficode Solution
Shared Library Publishing: Two foundational code libraries shared across almost every backend service were resolved from individual developer machine caches, making build results inconsistent. Ficode introduced pipelines that publish a version of each library to a central repository. Every service build now declares and resolves an exact library version; making results consistent and reproducible regardless of which machine or engineer runs them.
Service Build Pipelines: Every backend service receives a dedicated build pipeline that pulls the latest code, resolves dependencies, builds a deployable artifact, and delivers it to a versioned release directory. The directory structure is consistent across all services; a releases folder, a current pointer, and a previous pointer. Rolling back means switching the current pointer to the previous release and restarting the service: under one minute, no knowledge of the codebase required.
Reboot-Safe Service Management: Every backend service is now managed as a system-level service that starts automatically when the server starts, restarts automatically if the process crashes, and loads environment configuration from a separate file, so the same artifact runs in QA, staging, or production without modification.
Angular Web Deployment: The web portal build pipeline installs dependencies, builds with the correct environment configuration, deploys to a versioned release directory, and reloads the web server automatically on every release branch commit.
Mobile Build Pipelines: Eight mobile application pipelines on AWS cover Flutter Android, Flutter iOS, and native Android apps. Code signing materials are stored securely in cloud storage and retrieved at build time. Native Android apps deploy directly to the Google Play internal test track automatically on every release.
Key Features
- Implemented Jenkins-based CI/CD automation across 19 backend services, reducing manual deployment effort and improving release consistency.
- Moved from fragile long-running terminal sessions to system-managed services that survive reboots automatically.
- Introduced a versioned release directory model allowing any service to be rolled back in under a minute.
- Automated mobile application delivery using AWS CodePipeline, enabling continuous integration and release management for Flutter and Android applications.
Implementation Process
- Discovery and assessment of the existing platform, service dependencies, and operational risks.
- Cloud architecture and workload design covering compute, routing, security, deployment, and data dependencies.
- Containerisation, infrastructure setup, pipeline alignment, and controlled deployment to the AWS environment.
- Validation of application behavior, monitoring signals, rollback approach, and operational handover material.
Security & Scalability
- TLS-protected ingress through a controlled load-balancing layer.
- Workload separation between Linux and Windows services where required.
- IAM, security groups, and infrastructure as code controls support repeatable governance.
- Kubernetes scheduling, persistent storage, and cloud automation provide a scalable foundation for continued growth.
Results & Business Impact
19 Backend Services Automated Through CI/CD:
Manual deployment steps were replaced with Jenkins-driven build and release pipelines, reducing engineer-led deployment effort by an estimated 65% to 75%.
Under 1 Minute Rollback Capability:
Version-controlled releases allow a previous working version to be restored in less than 60 seconds, compared with manual rebuilding and investigation cycles.
100% Automated Service Restart for QA Backend Services:
All 19 backend services now start automatically after planned or unplanned server restarts, removing manual post-reboot recovery effort.
8 Mobile Release Pipelines Automated:
Flutter Android, Flutter iOS, and native Android release workflows were standardised, reducing dependency on individual developer machines and local signing setups.
50% to 60% Better Build Reproducibility:
Centrally published shared libraries and fixed dependency versions reduced inconsistent builds caused by developer-machine caches or local environment differences.
Technology Stack
AWS Services & Infrastructure
Platform Dependencies
Delivery Tooling
Application Stack
Case Study Focus
Conclusion
This Jenkins CI/CD automation project demonstrates how organizations can improve software delivery, deployment reliability, and operational efficiency through AWS DevOps best practices. By automating deployments across backend services, web applications, and mobile platforms, Ficode helped the client reduce operational risk, accelerate release cycles, and establish a scalable foundation for future growth.
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