Deployment Time reduced
by 50%, Increased
System Availability by 20%

Encora was enlisted to orchestrate a technical transformation for the client, focusing on automating deployment processes and enhancing infrastructure efficiency within AWS. The solution encompassed several strategic initiatives: 

• DevOps Consulting: Initiated the transformation by deploying a new Amazon Elastic Kubernetes Service (EKS) cluster customized to the client's unique requirements, laying the groundwork for improved deployment and orchestration strategies. 
• Continuous Integration (CI) & Continuous Deployment (CD): Established a fully automated CI/CD pipeline by integrating Jenkins with SonarQube for code quality checks. This facilitated smooth transitions from code commit to deployment and replaced the previous manual deployment methodologies. 
• Automation & Toolchain Optimization: Introduced Kubernetes scaffolding automation for microservices hosted in Amazon Elastic Kubernetes Service (EKS), utilizing Jinja templates to enable self-service deployments via Jenkins. This innovation allowed developers to deploy updates autonomously, ensuring consistency and minimizing errors. 

• Monitoring and Observability: Implemented a comprehensive suite of monitoring and observability tools, including Amazon CloudWatch, AWS CloudTrail, Prometheus, Grafana, and Loki, to offer deep insights into system performance and operational health, enabling proactive issue resolution and system optimization. 

Encora's strategic intervention transformed the client’s DevOps landscape, ushering in a new era of efficiency, scalability, and reliability. Automated DevOps practices revolutionized the delivery and maintenance of healthcare technology solutions, ensuring the client’s continued leadership in providing cutting-edge medical technologies. 

Some of the transformative outcomes enabled by Encora and powered by AWS technologies are: 

• Streamlined automated deployments with the newly established enterprise-grade deployment solution, significantly simplifying the process and enabling quicker development cycles. 
• Enhanced developer efficiency by automating deployment tasks and enabling self-service deployments. This reduced the developer time spent on deployment activities, allowing for a greater focus on innovation and development of new features. 
• Ensured scalability and resource optimization as the rearchitected system facilitated effective scaling of microservices in response to demand fluctuations. 

• Improved system reliability and performance with the adoption of a unified deployment strategy and a comprehensive monitoring solution, including AWS CloudWatch and AWS CloudTrail, which resulted in reduced system downtime and improved availability.