Rocking Kubernetes with Amazon EKS, Fargate, And DevOps

Explore how eks provides a highly available, aws managed control plane and supports self-managed, managed node groups, or fargate data planes, while integrating with the aws ecosystem and kubernetes tooling.

Follow amazon’s guide to install kubectl on mac, linux, and windows; on windows, use curl to download the binary into your path and verify with kubectl version.

Explore how eks managed node groups automate provisioning and lifecycle management of worker nodes, use amis with security patches, and enable updates with autoscaling and high availability in one click.

Learn how Helm, a package manager for Kubernetes, uses charts to package, install, and upgrade complex applications with templates and input parameters.

Explore how Kubernetes scales with horizontal pod autoscaler, pod CPU requests and limits, and deployment manifests, contrasting in-situ auto scaling with container scaling and an HPA demo.

Demonstrate how the open source cluster autoscaler and AWS cloud implementation enable EKS to scale nodes based on pod CPU requests, with autoscaling groups and scale-up plus cooldown behavior.

Explore the vertical pod autoscaler with a standalone demo and the Goldilocks tool to optimize pod resources in a Kubernetes deployment.

Explore how Goldilocks visualizes vertical pod autoscaler recommendations in a dashboard, then install and label VPA-enabled namespaces, review CPU and memory suggestions for non-prod environments.

Explore Karpenter, the next-gen autoscaler for EKS, as it provisions right-sized nodes, speeds pod scheduling, and handles GPU workloads without separate node groups, outperforming traditional autoscaling.

Learn how EKS auto mode automates control plane add-ons and managed worker nodes, automatically bin packs and right-sizes pods, and contrasts with ECS Fargate’s lack of add-on management.

Demonstrates running a simple nginx workload on EKS auto, creating an EC2 instance on demand, and pulling images from Docker Hub via NAT gateway and route table.

Explore the new EKS resource view, which shows all cluster resources—from pods and deployments to config maps and secrets—while noting it currently supports viewing, not deploying workloads.

Prometheus provides Kubernetes monitoring by collecting metrics in a time-series database, enabling queries, graphs, alerts, and open source integration; it runs as a daemon pod in the cluster.

Explore CloudWatch container insights for monitoring Kubernetes clusters without third-party tools, using built-in dashboards, CPU and memory metrics, and log insights with a one-click install and hands-on EKS/ECS demo.

Learn how namespaces create virtual clusters within a single Kubernetes cluster, enabling per-namespace resource quotas and access control. The lecture shows applying namespaces with manifests and kubectl, including default namespace.

Follow an AWS blog in this alb ingress demo to deploy alb ingress controller, RBAC and IAM policies, and an ingress resource for a 2048 game behind a nodeport service.

Configure an ingress with multiple paths to two deployments, learn path ordering, and enable IP mode to route traffic directly to pod IPs on EKS.

Learn how a service mesh uses sidecar proxies to manage pod-to-pod traffic with a data plane and control plane, enabling canary releases, security, discovery, tracing, and circuit breakers.

Explore Kubernetes network policy with a hands-on EKS demo, showing how to restrict pod-to-pod traffic across namespaces using ingress rules, namespace and pod selectors, and Calico integration.

Optimize Kubernetes costs on EKS via right sizing, auto scaling, and downscaling, with DevOps automation, plus EC2 purchase options to reduce worker node costs.

Learn how Kubecost now collaborates with EKS to deliver cost monitoring for clusters, using a single helm package for easy installation.

Explore popular Kubernetes tools across DevOps, security, ingress, logging, monitoring, and cost optimization, including Jenkins, Spinnaker, Twistlock, Nginx, Fluentd, New Relic, Datadog, Sysdig, and Kube Cost.

Explore X blueprints, an open source framework that configures and deploys clusters with best practices. Use Terraform and CDK to deploy add-ons like Prometheus and fluent bit, including serverless options.

discover AWS's public container roadmap for EKS and Fargate, see how features progress from researching to shipped on GitHub, and learn about preview and deployment statuses.

Explore an optional, advanced demo of running a gen ai model on eks, training a dreambooth diffusion model in a Jupyter notebook, and serving with Ray on Kubernetes.

Explore granting granular Kubernetes access with RBAC by creating a deployment role and binding it to a user, mapping to AWS IAM, in the frontend namespace.

learn how to scan eks worker nodes for operating system vulnerabilities on amis and for node security configurations and rbac policies with kube-bench.

Compare ECS Fargate versus regular ECS clusters, detailing the control plane, worker nodes, daemonsets, sidecars, EFS, subnets, and cost considerations.

Demonstrates creating an eksctl EKS cluster with a fargate profile, adding a front end namespace, deploying nginx on fargate, and observing fargate IPs with no ec2 nodes or load balancer.

Explore the four DevOps phases from code check-in to production, including build with unit tests and artifacts, testing, and deployment, and define CI, CD, and continuous deployment.

Learn how Amazon Elastic Container Registry (ECR) stores, secures, and manages Docker images, offering a managed, scalable, and integrated workflow for deploying containers with ECS, EKS, or on premises.

Discover how AWS CodeBuild offers a fully managed CI service that builds code, runs tests, and packages software with pay-as-you-go pricing, and compare it to Jenkins' self-managed VM approach.

Learn how AWS CodeBuild runs a build from a build project and sources to a container, using a YAML build spec, producing artifacts in S3 and logs in CloudWatch.

Explore CI/CD flow one that automates deploying code to ECS with CodeBuild, ECR, and kubectl. Dockerize, push to ECR, and update Kubernetes deployment YAML, then apply with kubectl.

Create a CI/CD pipeline using code commit, code build, and docker push to ECR, then deploy to ECS with kubectl via the buildspec and deployment YAML.

Explain and demonstrate a real world gitops workflow using GitHub, Jenkins, Docker, and Argo CD to automate image builds, manifest updates, and continuous deployment in Kubernetes.

Create Jenkins jobs by pulling a pipeline script from GitHub, configure the Docker tag parameter and update the manifest, then push the image to Docker Hub.

Install Argo CD on a Kubernetes cluster, access the UI via localhost with port forwarding, and retrieve the admin password by decoding a base64 token.

Configure a GitHub webhook in Jenkins to trigger automated builds and deployments, then observe image builds, object manifests, and Argo CD update the pods.