Growth School is an online learning platform that bridges the gap between industry requirements and traditional academic curricula. It focuses on delivering high-quality, industry-relevant content efficiently to learners.
Growth School approached Pace wisdom to adopt DevOps practices to enhance productivity, optimize processes, and build a stronger collaborative engineering culture. The goal was to implement a comprehensive DevOps solution to solve challenges around staffing, scaling, and maintaining fast-paced project development.
Pace wisdom implemented a multi-faceted DevOps solution leveraging cloud, automation, and best practices to modernize Growth School’s delivery pipeline.
A hybrid team model was created combining Pace wisdom's DevOps experts with Growth School’s internal team. This enabled knowledge transfer and promoted a collaborative work environment rather than a traditional outsourcing setup
AWS Elastic Container Registry (ECR) and GitHub Actions were used to automate build and test pipelines. This significantly reduced manual intervention in the software release process and improved release reliability.
Terraform was used to manage production AWS resources such as EC2, RDS, and ElastiCache. This ensured consistent, repeatable infrastructure provisioning and simplified environment management.
Ansible was introduced to configure infrastructure and deploy services across all servers. This streamlined deployment and reduced manual configuration effort.
Docker was used to containerize applications, improving portability and scalability across environments.
The team analysed the entire pipeline to identify bottlenecks. Optimization efforts resulted in a 50% reduction in deployment times.
Services were made compatible with more cost-effective infrastructure types. This led to a significant reduction in overall infrastructure costs.
Linting and testing steps were added at multiple stages in the continuous integration pipeline. This improved code quality and reduced the risk of faulty releases.
A monitoring system was built using Grafana and AWS CloudWatch. This provided a real-time, unified view of applications, services, and infrastructure in production.
Growth School is an online learning platform that bridges the gap between industry requirements and traditional academic curricula. It focuses on delivering high-quality, industry-relevant content efficiently to learners.
Growth School approached Pace wisdom to adopt DevOps practices to enhance productivity, optimize processes, and build a stronger collaborative engineering culture. The goal was to implement a comprehensive DevOps solution to solve challenges around staffing, scaling, and maintaining fast-paced project development.
Growth School is an online learning platform that bridges the gap between industry requirements and traditional academic curricula. It focuses on delivering high-quality, industry-relevant content efficiently to learners.
Growth School approached Pace wisdom to adopt DevOps practices to enhance productivity, optimize processes, and build a stronger collaborative engineering culture. The goal was to implement a comprehensive DevOps solution to solve challenges around staffing, scaling, and maintaining fast-paced project development.
Growth School is an online learning platform that bridges the gap between industry requirements and traditional academic curricula. It focuses on delivering high-quality, industry-relevant content efficiently to learners.
Growth School approached Pace wisdom to adopt DevOps practices to enhance productivity, optimize processes, and build a stronger collaborative engineering culture. The goal was to implement a comprehensive DevOps solution to solve challenges around staffing, scaling, and maintaining fast-paced project development.
Pace wisdom implemented a multi-faceted DevOps solution leveraging cloud, automation, and best practices to modernize Growth School’s delivery pipeline.
A hybrid team model was created combining Pace wisdom's DevOps experts with Growth School’s internal team. This enabled knowledge transfer and promoted a collaborative work environment rather than a traditional outsourcing setup
AWS Elastic Container Registry (ECR) and GitHub Actions were used to automate build and test pipelines. This significantly reduced manual intervention in the software release process and improved release reliability.
Terraform was used to manage production AWS resources such as EC2, RDS, and ElastiCache. This ensured consistent, repeatable infrastructure provisioning and simplified environment management.
Ansible was introduced to configure infrastructure and deploy services across all servers. This streamlined deployment and reduced manual configuration effort.
Docker was used to containerize applications, improving portability and scalability across environments.
The team analysed the entire pipeline to identify bottlenecks. Optimization efforts resulted in a 50% reduction in deployment times.
Services were made compatible with more cost-effective infrastructure types. This led to a significant reduction in overall infrastructure costs.
Linting and testing steps were added at multiple stages in the continuous integration pipeline. This improved code quality and reduced the risk of faulty releases.
A monitoring system was built using Grafana and AWS CloudWatch. This provided a real-time, unified view of applications, services, and infrastructure in production.
