AI Tool Series – Episode 37: One-Click Kubernetes Deployments on AWS with CloudLaunchPad

Shipping to the cloud shouldn’t be a maze of YAML, clusters, and hand-rolled pipelines. Cloud Launchpad is a cloud automation stack that provisions what you need on AWS and automates the path from source (or container) to a running, monitored application on Amazon EKS (Elastic Kubernetes Service)—with sensible defaults and zero guesswork.
What Cloud Launchpad Does
- Provisions infrastructure: Creates an EKS cluster, manages node groups on Amazon EC2, and configures an external load balancer and DNS endpoint.
- Builds and ships your app: Either from your GitHub repository or from images you’ve already pushed to Amazon ECR (Elastic Container Registry).
- Sets up CI/CD for you: Pipelines (powered by Jenkins under the hood) compile, containerize, and deploy to Kubernetes.
- Adds common building blocks: One-click setup for databases (Amazon RDS), caching (Redis), and queues (RabbitMQ or Apache Kafka).
- Observability built in: Health checks and live logs in the UI.
- Safe, repeatable releases: Rolling updates on Kubernetes Pods for zero-downtime redeploys.
Two Ways to Deploy
You can choose the flow that fits your team’s needs—without changing how you build software.
1) GitHub → Build → ECR → EKS (fully automated)
Best when you’re comfortable sharing repository access.
- Create a project
- Enter a project name and your AWS credentials (validated server-side).
- Pick an AWS Region, node group parameters, and an EKS cluster name.
- Connect GitHub
- Provide a GitHub token, repo owner, and select your repository.
- Choose a branch and indicate whether your app is monolithic or microservices (select one or many services).
- Build settings
- Set the technology/runtime (e.g., Node/React version).
- Provide an ECR repository name, container name, container port, and an optional health-check endpoint.
- Launch
- Cloud Launchpad builds a Docker image, pushes to ECR, creates/updates the EKS cluster and node groups, deploys workloads, and wires up the load balancer.
- You’ll get a DNS endpoint to drop into your environment configuration.
Typical first-time provisioning and deployment completes in ~20–30 minutes, depending on project size and AWS capacity.
2) Prebuilt Container (ECR) → EKS (code never leaves your control)
Best when you don’t want to share code or you already produce images in your own pipeline.
- Create a project (same as above): AWS credentials, Region, node group, cluster name.
- Register services
- For each microservice, select the ECR repository, image name, and tag (e.g., latest or a semver tag).
- Specify container name, container port, and optional health-check endpoint.
- Launch
- Cloud Launchpad deploys the images to your cluster and exposes a DNS endpoint.
- Cloud Launchpad deploys the images to your cluster and exposes a DNS endpoint.
After Deployment
- DNS you can use immediately
Copy the provided DNS name into your frontend or backend environment file and you’re live. - Add services anytime
Already shipping and need a new microservice? Add it from Additional Microservices—no need to re-provision the whole project. - Built-in add-ons
- Database: Provision Amazon RDS and connect via config/env.
- Caching: Enable Redis, get credentials and port, and plug it into your app.
- Queues: Add RabbitMQ or Kafka for async workloads.
- Redeploys without downtime
Click Redeploy, point to a new image tag (ECR flow) or latest code (GitHub flow). Cloud Launchpad performs a rolling update—new Pods come up healthy before old ones are drained. The URL stays the same. - Monitoring & logs
View live logs per service in the Monitoring view to spot errors and verify health checks. - User management
Create and manage user accounts with appropriate access to projects.
What’s Happening Behind the Scenes
- Infrastructure: EKS cluster and EC2 node groups are provisioned; a Kubernetes-compatible load balancer is configured for ingress.
- Containers: Images live in Amazon ECR.
- Pipelines: Jenkins orchestrates builds and deployments programmatically (kept out of the UI to avoid manual misconfigurations).
- Kubernetes: Deployments use rolling updates; Pods are replaced incrementally to keep the service available.
When to Use Which Flow
- GitHub Flow: You want end-to-end automation from source to production with minimal setup.
- ECR Flow: You’re privacy-sensitive about code, or you already have a container build pipeline and just want reliable Kubernetes deployments.
Quick Start Checklist
- Have ready: AWS account & credentials, target Region, desired cluster name, and either a GitHub repo or ECR images/tags.
- Create a project in Cloud Launchpad and pick a deployment flow.
- Configure services (ports, health checks, runtime versions).
- Launch and wait for the DNS endpoint.
- Plug DNS into your app’s config and verify via the Monitoring view.
- Iterate: Use Redeploy for new versions; add databases, caching, and queues as needed.
Why Teams Choose Cloud Launchpad
- Fewer handoffs between developers and DevOps
- Consistent, auditable releases across environments
- Kubernetes without the pain—best practices baked in
- Scale-ready: start small, grow into microservices and add-ons at your pace
If you’d like help mapping your existing repos or containers to Cloud Launchpad—or want suggestions on cluster sizing and add-ons for your workload—reach out and we’ll walk through a tailored setup.