MediaTech | Wellness and Fitness | Digital Media | OTT
Automate deployment processes and reduce cloud infrastructure costs.
About The Client
A global leader in on-demand fitness delivers high-quality fitness media and programming to diverse environments. Their innovative platform provides users with tailored digital fitness content, accessible anytime and anywhere—from studio spaces to personal devices—offering the ultimate virtual fitness experience.
With advancements like generative AI and quantum computing, the landscape of DevOps is evolving from automation to intelligent orchestration.
The Need
The client, a market leader in virtual fitness video delivery, faced challenges with manual deployment processes, inconsistent environments, and escalating cloud costs. The need was to streamline the build and deployment pipeline to ensure faster releases, better code quality, and optimized cloud infrastructure to reduce unnecessary expenses.
The Solution
Forgeahead implemented an automated, cloud-based DevOps solution leveraging AWS services to streamline the build, deployment, and cost optimization processes, ensuring faster releases and reduced operational costs. The solution included:
Automated CI/CD Pipeline
Established an automated build and deployment process, reducing manual intervention and ensuring consistent and reliable releases.
Cost Optimization
Utilized AWS services to monitor usage and optimize EC2 and Lambda configurations, resulting in significant cost savings.
Continuous Monitoring
Implemented tools to track system performance and address issues promptly, ensuring uninterrupted operations.
Scalable Infrastructure
Leveraged AWS Elastic Beanstalk, right-sized EC2 instances, and optimized Lambda functions for efficient and scalable infrastructure management.
Code Quality Assurance
Integrated SonarQube within the CI/CD pipeline to maintain high code quality and ensure reliable deployments.
Role of AWS
AWS played a pivotal role in enabling the platform to scale, optimize costs, and ensure high availability while streamlining development and deployment processes. The flexibility and reliability of AWS services allowed the platform to meet dynamic user demands effectively.
Key AWS contributions included:
Scalability
AWS services like CodeCommit, CodeBuild, and CodePipeline automated the build and deployment pipeline, enabling the platform to scale seamlessly as new features and services were introduced.
Cost-Effectiveness
The use of AWS Compute Savings Plans and optimized resource allocation through EC2 and Lambda reduced operational costs by ensuring infrastructure resources were right-sized and cost-efficient.
High Availability and Reliability
AWS ensured continuous uptime and fast, automated releases by using Code Pipeline and CloudWatch for monitoring, while services like ECS and Lambda ensured seamless scalability during traffic spikes.
Security
AWS services like IAM, KMS, and SES provided secure access management, data encryption, and secure communication across the platform, ensuring that sensitive user data remained protected.
The Impact
50% Reduction in Manual Intervention.
40% Faster Releases.
30% Fewer Critical Issues.
66% Savings on Compute Costs.
25% Reduction in EC2 Costs.
5% Decrease in Lambda Function Costs.
Proactive Cost Management.
DevOps Stack
AWS, Docker Containers, Terraform, CloudFormation, Sonarqube, Build Pipelines
