A Demand Planning Software Company Speeds Up Time-to-Market & Optimizes Cost with DevOps Practices

Solutions

• Designed and set up an Elastic Kubernetes Service (EKS) cluster.
• Configured both Linux and Windows nodes. Enabled cluster autoscaling. Configured AWS Load Balancer Controller and Nginx Ingress controller.
• Containerized the .NET applications and deployed them to ECR and resolved application-related errors.
• Deployed Highly available, scalable, fault-tolerant microservices to EKS for the specific namespaces.
• Setup single deployment for login applications and exposed using an AWS application load balancer.
• Setup dedicated Kubernetes Deployment resource per tenant for all other applications. Applications are exposed using cluster-IP service type.
• Implemented highly available Nginx ingress backed by AWS NLB for traffic management. Further, configured host-based routing along with the ingress resource.
• Accomplished HPA enablement based on CPU and memory consumptions.
• Successfully implemented infrastructure and application monitoring with AWS CloudWatch and Datadog.
• Integrated Datadog with EKS by ensuring container logs are accessible from Datadog Dashboard.
• Successfully integrated TeamCity with BitBucket by configuring it with TeamCity project.
• Integrated TeamCity with ECR by adding ECR connection in TeamCity project configuration and by adding docker support in build configuration.
• Accomplished integration of Octopus with ECR by adding AWS ECR as an Octopus External Feed.
• Integrated Octopus Deploy with EKS by adding EKS Cluster as a Kubernetes target. Create service accounts to configure the added Kubernetes target.