About the Customer:
Our customer is a fast-growing 2-wheeler OEM with a strong presence in both domestic and international markets. Known for their innovations in electric mobility and rider-centric design, the company is on a mission to deliver software-driven two-wheelers to a new generation of consumers.
Their product roadmap expanded to include advanced digital instrument clusters, cloud integration, mobile app integration, and frequent .
Business Challenges:
What happens when your product roadmap moves fast, but your development pipeline doesn’t?
What was once a hardware-focused production cycle now required frequent code changes, parallel development for multiple ECUs, and synchronized releases across mobile, cloud, and embedded platforms.
However, their existing development workflows were not equipped to handle the level of software complexity or the speed of delivery.
Key challenges they encountered:
- Manual deployments and QA cycles that delayed time-to-market and made defect tracking reactive rather than proactive.
- Lack of traceability between requirements, code, and releases, making collaboration across teams inefficient.
- Rigid infrastructure that made it difficult to test and deploy across multiple environments like QA, staging, and production.
- Minimal Security checks added in the software development lifecycle, increasing the risk of vulnerabilities in production builds.
Embitel’s Solution:
Smart bikes deserve smarter software delivery pipelines. We built one.
Our team of IoT experts developed a cloud-native CI/CD pipeline tailored to the customer’s evolving needs.
- Agile Alignment with Jira & Confluence:
- Version Control with GitHub:
- Test Automation at Every Layer:
- Scalable Cloud Deployments on AWS:
- Multi-Environment Workflows with Rollback Support:
- Key Innovations:
Jira workflows enforced quality gates like Definition of Ready and Done. Confluence served as a centralized hub for firmware specs, app release notes, and test plans.
Feature branches and automated pull requests enabled clean, conflict-free development across ECUs, mobile, and cloud. Every pull request triggered static code analysis (SonarQube), security scans (Snyk), and peer reviews.
From JUnit-based unit tests for ECU code to Selenium-based functional tests for the app, all testing was automated, cutting manual effort and accelerating feedback loops.
Using Docker, ECS, and ECR, the pipeline delivered backend updates reliably. Secrets Manager ensured secure access control, while Terraform provisioned consistent environments across QA, staging, and production.
Each environment had its own pipeline and approval gates. Rollback logic ensured that any failed deployment reverted instantly minimizing risk.
Delta firmware updates reduced update size by 90%. TLS 1.3 and OAuth 2.0 hardened security. Autoscaling with ECS handled traffic surges. Integrating Jira and GitHub enabled full traceability.
Embitel Impact:
For a two-wheeler OEM rolling out digital clusters, companion apps, and ECU firmware across multiple models, this DevOps transformation became the engine behind consistent, high-velocity software delivery.
Here’s what changed:
Faster Feature Releases With automated workflows and testing, development cycles were cut by 30%. Teams could ship updates faster, without the usual delays and firefighting.
Fewer Bugs in Production Early-stage quality and security checks led to a 40% drop in production failures meaning fewer rollbacks, fewer hotfixes, and more stable releases.
Effortless Scalability The AWS ECS-based setup gave the team the ability to scale up or down with zero disruption, whether it was a new app version or a firmware update for a new model.
Stronger Security Posture Vulnerabilities were caught early and consistently, thanks to integrated code scanning and secrets management. This kept the pipeline secure by design.
Tools and Techniques:
- Jira
- Confluence
- GitHub
- SonarQube
- Snyk
- JUnit
- Selenium
- Docker
- AWS ECS
- Amazon ECR
- AWS Secrets Manager
- Terraform
