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DOCKER & KUBERNETES Course Details
 

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Batch Date: Dec 14th @9:00AM

Faculty: Mr. Shiva (8+ Yrs Of Exp,..)

Duration: 40 Days

Venue :
DURGA SOFTWARE SOLUTIONS,
Flat No : 202, 2nd Floor,
HUDA Maitrivanam,
Ameerpet, Hyderabad - 500038

Ph.No: +91- 9246212143, 80 96 96 96 96

Syllabus:

DOCKER & KUBERNETES

DevOps

  • What is SDLC? What is DevOps? Where is DevOps position in SDLC?
  • Importance of DevOps in software release.
  • Docker & Kubernetes position in SDLC.
  • Importance of Docker & Kubernetes in the IT industry.
  • Introduction to Physical Servers, Virtualization, Virtual Servers and Cloud.

Docker Introduction

  • Introduction to Docker & Containers.
  • Installation of Docker and Docker-Compose.
  • Explanation of YAML syntax.
  • Explanation of technical terms used in Docker.
    (Docker Host, Docker Client, Docker Daemon, Docker Registry, Docker Images)

Docker DeepDive

  • Commands used in Docker and their explanation along with flags.
  • Working on Docker images
  • Practical examples of running applications and use cases.
  • Understanding 3-tier architecture.
  • Explanation and creating multi container architecture.
    (with -- link flag and docker-compose)
  • Practical examples and use cases with multi container architecture.

Custom Docker Images

  • Understanding and creating custom Docker images.
  • Understanding of DOCKERFILE.
  • Explanation of various keywords used in DOCKERFILE.
  • What is cache busting in Docker?

Docker Volumes & Docker Networking

  • Understanding significance of Docker volumes and its types.
    (Simple Docker Volumes and Docker Volume Containers)
  • Understanding Docker networking and types.
    (Bridge network, Host network, Null network, Overlays network)
  • Practical examples and use cases with Docker volumes and Docker networking.

Docker Registry

  • Understanding Docker registry and types.
    (Public registry and Private registry)
  • Practical examples and use cases with Docker registry.

Advanced Concepts & Projects

  • Multi stage docker builds.
  • Practical examples and use cases of multi stage docker builds.
  • Projects on Docker and Docker-Compose.
  • Debugging/Troubleshooting of issues faced in docker.

Next…

  • Introduction to container orchestration and advantages.
  • Various orchestration technologies available in the market.
  • Introduction to Kubernetes.

Kubernetes(K8S) & Installation of tools

  • What is K8S? Why K8S?
  • Installation of K8S with Minikube to reduce costs.
  • Installation of K8S client kubectl.
  • Creating Kubernetes cluster with AWS EKS with YAML.
  • K8S cluster architecture and its components explanation.
    (kube api-server, controller manager, scheduler, ETCD, kubelet, kube-proxy, container runtime engine)
  • Explanation of technical terminologies in Kubernetes.
  • Exploring the Kubernetes cluster.
  • Imperative commands and Kubernetes manifests.

Kubernetes Workloads and Resources

  • Containers, InitContainers, Pods, ReplicaSet, Deployments,
  • DaemonSet, Jobs & CronJobs, ReplicationController.
  • Explanation of annotations in K8S.
  • Explanation of multi container pods.
  • Practical examples and use cases of above workloads.

Kubernetes Services and LoadBalancing

  • Understanding services and its types.
    (ClusterIP, NodePort, LoadBalancer, ExternalName)
  • Understanding multi-port services.
  • Practical examples and use cases of services and its types.
  • Understanding DNS for services and pods.

Kubernetes Storage

  • Understanding volumes in Kubernetes.
  • Persistent volumes and Persistent volume claims.
  • Projected volumes, Storage Classes, Dynamic volume provisioning, Volume snapshots.
  • Practical examples and use cases of storage.

Configuring Kubernetes Workloads

  • Configmaps & Secrets.
  • Resource management for pods and containers.
  • Understanding different types of deployments and their significance.
  • Configuring horizontal pod auto scaler.
  • Liveness and Readiness probes.
  • Configuring pods with policies(eg: ImagePullPolicy)
  • Commands and Arguments.
  • Explanation of namespaces.
  • Practical examples and use cases.

Scheduling

  • Introduction to Scheduling in K8S.
  • Explanation of how the kubernetes schedules the pods on nodes.
  • Manual Scheduling of workloads/pods with node name.
  • Scheduling the applications using labels and selectors.
  • Scheduling using Taints and Tolerations.
  • Scheduling using NodeAffinity.
  • Understanding the difference between Taints and Tolerations and NodeAffinity.
  • Understanding pod affinity and anti affinity and difference.
  • Practical examples and use cases of scheduling.

Security

  • Understanding service accounts.
  • Roles, RoleBinding, ClusterRole and ClusterRoleBinding.
  • RBAC(Role Based Access Control).
  • Static Pods.
  • Explanation of .kubeconfig file.
  • Practical examples and use cases of security.

Networking

  • Introduction to networking in Kubernetes.
  • What is ingress? Why is its significance?
  • Available ingress controllers.
  • Practical examples of nginx and kong ingress controllers.
  • Understanding network policies and use cases.
  • Service internal traffic policy.
  • Practical examples and use cases of networking

Backup & Restore

  • Need of backup kubernetes resources.
  • Ways to backup Kubernetes resources.
  • Rolling Updates & Roll Backs.

Monitoring and Troubleshooting

  • Introduction to Logging and Monitoring.
  • Different issues that may occur in the Kubernetes cluster.
  • Visiting logs and describing applications to debug applications.
  • Understanding the problems and their significance.
  • Monitoring cluster with Kubernetes dashboard.

Other Tools

  • Introduction to Helm.
  • Installing Helm and working with it.
  • Commands used to deploy applications with Helm and their explanation.
  • Working with Helm and explanation of folder structure.
  • K9S tool to manage multiple EKS clusters.
  • ArgoCD to automate the deployments to Kubernetes cluster.

Projects

  • Projects on combination of Docker, Kubernetes, K9S, ArgoCD.

Summary

  • Summary about the things we learned.