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Case Study

Container Shift

Legacy app containerization.

Client

OldSchool Soft

Category

cloud

Portable Code

Key Outcome

About The Project

The Brief

OldSchool Soft wanted to modernize their 10-year-old application stack to improve developer velocity.

The Challenge

Navigating Complexity

Developers wasted hours fixing "it works on my machine" issues due to inconsistent environments between dev, test, and production.

Our Solution

Engineered for Scale

We containerized the entire stack using Docker, creating standard, immutable environments. We used Docker Compose for easy local development setup.

Solution Visual
The Engine Room

Technologies Deployed

The precise tech stack engineered to deliver this solution.

Docker
Docker

Docker platform for containerizing applications.

Key Benefits:
• Consistency: Dev/Prod parity.
• Isolation: Secure app environments.
• Efficiency: Lightweight resources.
• Portability: Run anywhere.

Docker Compose
Docker Compose

Docker Compose is a tool for defining and running multi-container Docker applications using a single configuration file.

Key Benefits:
• Multi-Container Management: Define and manage complex app stacks easily.
• Simplified Configuration: Use a single YAML file for services, networks, and volumes.
• Consistency: Ensures the same setup across development and production.
• Efficiency: Speeds up local development and testing workflows.

Jenkins
Jenkins

Jenkins is a CI/CD automation server.

Key Benefits:
• CI/CD: Automated pipelines.
• Integration: Extensive plugins.
• Flexibility: Custom workflows.

Nginx
Nginx

Nginx is a high-performance web server and reverse proxy used for serving web applications, APIs, and load balancing traffic.

Key Benefits:
• High Performance: Handles high concurrency with low memory usage.
• Reverse Proxy: Routes traffic securely to backend services.
• Load Balancing: Distributes traffic across multiple servers.
• Security: Supports SSL/TLS termination and access control.

The Impact

Delivering Tangible ROI

Onboarding time for new developers was cut by 80%. Environment-related bugs were virtually eliminated, and deployment became a predictable process.

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