Case Study 1: Automating the Yocto Build Process for a Global Audio Manufacturer

Transforming a time-consuming manual build process into an efficient, automated CI/CD pipeline - enabling faster releases and improved team productivity.

Background

A leading global manufacturer of audio devices approached Stonetusker to streamline their software delivery process. Their existing Yocto build system was entirely manual, requiring engineers to spend several hours performing repetitive tasks for each release. Each new image build consumed four to six hours, delaying customer releases and increasing the risk of human error.

The Challenge

• Builds were executed manually, increasing the likelihood of errors.
• Lack of centralized version control and collaboration tools.
• Long build times slowed down product delivery cycles.
• No clear visibility or traceability of builds and artifacts.

The manual approach hindered scalability and made it difficult for the engineering team to keep up with an expanding product portfolio.

Our Approach

The Stonetusker team implemented a fully automated build and deployment pipeline to eliminate manual intervention and improve reliability.

1. Migrated the codebase to GitHub for centralized version control and team collaboration.
2. Set up cloud-based build pipelines using GitHub Actions to automate Yocto image creation.
3. Implemented logging and monitoring for quick debugging and transparency.
4. Configured artifact storage in the cloud for streamlined release management and easy access.

The new system provided the client with a continuous integration workflow that automatically triggered builds on every code update.

Results

What previously took an entire day now completes automatically in under an hour. The team can trigger builds and deployments with confidence, accelerating the release process and improving overall product quality.

Business Impact

• Significant reduction in build and release times.
• Improved reliability and traceability across builds.
• Increased developer productivity and morale.
• Scalable CI/CD pipeline supporting multiple product lines.

“Stonetusker helped us move from a manual Yocto build process to a fully automated, cloud-based pipeline. Our engineering team now releases faster, with complete visibility and far less manual effort.”
- Vice President, A Global Audio Brand

Key Takeaway

Automating embedded build processes delivers measurable business value, faster releases, improved reliability, and greater team efficiency. For this client, the transition to automation not only optimized engineering operations but also accelerated their time-to-market.

Case Study 2: Helping a Security Product Company Automate and Grow

About the Client

Our client is a fast-growing company focused on network security and fraud mitigation solutions. They wanted to speed up their software releases, stay on top of complex compliance rules, and get their product listed in major cloud marketplaces like AWS and Azure.

What They Were Facing

• Their software delivery process was slow and manual, leading to delays and mistakes.
• Keeping up with evolving Security Operations Centers (SoCs) compliance was taking too much time and effort.
• Registering and managing their product listings in AWS and Azure marketplaces was complicated and time-consuming.
• Database updates were done manually, which risked downtime and errors.
• Since their app was built with Golang, they needed expert help to automate the deployment smoothly.

How We Helped

We worked closely with them to build a tailored automation solution covering all these areas:

• Automated the entire CI/CD pipeline for their Golang app, cutting deployment time by 40% and reducing errors.
• Streamlined compliance updates with automated SoCs workflows, turning a process that used to take weeks into a matter of days.
• Simplified and automated their product registration in AWS and Azure marketplaces, slashing manual effort by 70% so their product could reach customers faster.
• Automated database updates to happen seamlessly during deployments, preventing downtime and keeping things running smoothly.

The Results

• They now deploy new software 50% more often—getting features and fixes to their users faster.
• Compliance updates happen 60% quicker, making it easier to stay secure and up-to-date without headaches.
• Marketplace onboarding is 75% faster, opening doors to more customers worldwide.
• Almost zero downtime during database updates, which helped boost user trust and satisfaction.

What the Client Said

"Stonetusker has been helping my company with CI, CD for our AWS software workflows and has really excelled at improving our Git, Github, security scanning, Issue tracking and product testing capability and velocity."

- CEO, a Network Security Solutions Product Company

Why It Matters

This project shows how Stonetusker helps businesses not just keep up, but get ahead—making complex processes simple, reliable, and fast. If you’re looking to automate your DevOps and compliance, especially in a security-focused environment, we’re ready to help.

Case Study 3: Helping a US AI Startup Automate Deployment and Ensure Compliance in Cancer Detection

About the Client

Our client is an ambitious AI startup based in the US, focused on making cancer detection easier and faster with the help of AI-powered medical imaging. They needed to speed up their development process while ensuring their platform met strict healthcare regulations.

The Challenges They Faced

• They didn’t have an automated MLOps pipeline, which slowed down model training and deployment.
• Deployments to development and production environments were manual and prone to delays.
• Their tech stack was complex, using Python, PostgreSQL, TensorFlow, and ReactJS, needing seamless coordination.
• They had to ensure HIPAA and GDPR compliance to protect patient data before launching.

How We Helped

We worked together to build a secure and efficient DevOps setup that would keep up with their innovation while meeting all compliance needs:

• Built a fully automated MLOps pipeline to speed up model training, testing, and deployment.
• Set up GitHub Actions workflows to automatically deploy their app to both development and production environments.
• Coordinated deployment across Python backend, PostgreSQL database, TensorFlow AI models, and ReactJS frontend.
• Guided them through the HIPAA and GDPR compliance process to ensure all patient data was securely handled.
• Provided ongoing support to keep their systems secure and compliant as they moved towards market launch.

What They Gained

• They were able to deploy AI model updates 60% faster, accelerating innovation and improving accuracy.
• Automated deployments made their release process reliable, with zero downtime in production.
• They achieved HIPAA and GDPR compliance, ensuring patient data privacy and meeting regulatory demands.
• Improved collaboration between data scientists, developers, and operations through integrated pipelines.
• Accelerated their time-to-market for an impactful cancer detection product that could save lives.

What the Client Said

"Stonetusker helped us build pipelines that let us deploy AI models quickly and securely, which is critical in healthcare. Their guidance on HIPAA and GDPR compliance made us confident as we prepared for launch."

— Founder, US based AI Cancer Detection Startup

Why This Matters

This collaboration shows how Stonetusker combines deep DevOps skills with healthcare compliance expertise to help startups like this bring life-changing AI technology to market quickly and safely.