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E-learning
AWS CodePipeline, Amazon Elastic Beanstalk, AWS CodeBuild, Amazon CloudWatch, AWS CodeDeploy
Streamlined Application Deployment and Monitoring with AWS Services and Custom VPC Integration
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Automated CI/CD process
Proactive memory utilization alerts
Deployed applications on Elastic Beanstalk
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.
• 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.
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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