Case Study

Seamless Deployment and Scaling of NodeJS and Java Applications with Automated CI/CD and Proactive Monitoring

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Industry 

E-learning

Expertise 

AWS CodePipeline, Amazon Elastic Beanstalk, AWS CodeBuild, Amazon CloudWatch, AWS CodeDeploy

Offerings/solutions 

Streamlined Application Deployment and Monitoring with AWS Services and Custom VPC Integration

About the Client

FreshLMS is an all-in-one platform designed to empower creators to transform knowledge into courses, live workshops, and digital downloads, enabling the establishment of successful online businesses in under an hour. With a commitment to support users, FreshLMS offers 0% commission on sales and provides 24×7 live chat, email, and call support.

Highlights

90%

Automated CI/CD process

70%

Proactive memory utilization alerts

18%

Deployed applications on Elastic Beanstalk

The Challenge

The primary challenge was the manual and time-consuming nature of existing deployment processes, leading to frequent inefficiencies and errors. Scaling the architecture to handle increasing traffic and user load required a seamless, scalable solution. Implementing automated CI/CD pipelines for multiple applications across development and production environments was crucial. Adequate monitoring and alerting mechanisms were needed to ensure application health and quick issue resolution.

Solutions

• We created a custom Amazon VPC, subnets, route tables, an internet gateway, and other dependencies.
• Applications were deployed using AWS Elastic Beanstalk, configured with a shared Application Load Balancer for host-based routing, ensuring efficient handling of increasing traffic.
• The CI/CD process was overhauled with AWS CodePipeline, reducing manual intervention, deployment time, and human errors.
• Bitbucket was integrated as the code source repository, and Buildspec files for Java and Node.js applications ensured consistent build and deployment instructions.
• Real-time monitoring and logging were achieved through Amazon CloudWatch, allowing proactive monitoring of application health and performance.
• Amazon SNS notifications kept stakeholders informed about pipeline changes and execution results.
• Automated alerts for critical metrics and failure events facilitated timely intervention, enhancing overall application reliability and ensuring a seamless user experience.

The Results

CloudThat deployed 18 NodeJS and Java applications to Amazon Elastic Beanstalk, established a 90% automated CI/CD workflow with AWS CodeBuild and CodePipeline, and enhanced proactive monitoring with Amazon CloudWatch for effective performance management and seamless scaling.

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