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From Manual Updates to an Automated Learning PlatformEducational Technology Platform (EdTech)15+ developers and engineers

From Manual Updates to an Automated Learning Platform

A leading online educational platform faced growing pains in delivering new content and maintaining its infrastructure. Manual deployment processes were slow, error-prone, and couldn't handle peak loads during exam sessions. They turned to prAIor to build a modern, automated DevOps ecosystem that could support their growth and improve the student experience.

80%
Reduction in Deployment Time
4x
Increase in Deployment Frequency
75%
Decrease in Production Bugs
From Manual Updates to an Automated Learning Platform

Project Goals

1

Automate the entire software delivery lifecycle (CI/CD).

2

Achieve 100% environment consistency through containerization.

3

Ensure high availability and seamless platform scalability.

4

Implement proactive monitoring and alerting systems.

Our Approach

1

**Assess:** We conducted a full audit of the existing infrastructure, code, and deployment processes to identify key areas for automation.

2

**Design:** We designed a new, scalable architecture based on Kubernetes and defined a CI/CD pipeline that included automated testing, security scanning, and canary deployments.

3

**Automate:** As part of our QuickWin program, we implemented the first automated pipeline for a key microservice, proving the rapid return on investment.

4

**Amplify:** We expanded the solution across the entire platform and trained the client's team to use and maintain the new tools and processes.

Solution

  • **DevOps & CI/CD Automation:** We built comprehensive CI/CD pipelines with GitLab CI that automate code compilation, testing, and deployment on every change. This allowed developers to focus on creating quality content, not on the delivery process.
  • **Infrastructure as Code (IaC):** We used Terraform to manage the entire cloud infrastructure. This ensures repeatability, transparency, and easy environment recovery when needed.
  • **Containerization with Kubernetes:** We migrated the applications to Docker containers and orchestrated them with Kubernetes. This solved the problem of environment inconsistencies and provided dynamic scaling based on load.
  • **Monitoring & Observability:** We implemented Prometheus and Grafana for real-time metrics collection and intuitive dashboards, enabling the team to identify and resolve issues proactively.

Results

  • New courses and updates now reach students in hours instead of weeks.
  • The platform remains stable and responsive even with thousands of concurrent users.
  • The development team is more productive and confident in the quality of their work.
  • Significantly improved user experience and student satisfaction.

Ready to Stop the Repetition?

Send us a few examples of manual tasks you do regularly, and we'll show you how we can automate them.

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