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Amazon Web Services / AWS CloudOps
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Running Containers on Amazon Elastic Kubernetes Service

Online
3 days
English
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€ 1.760,–
zzgl. MwSt.
€ 2.094,40
inkl. MwSt.
Buchungsnummer
33816
Veranstaltungsort
Online
2 Events
€ 1.760,–
zzgl. MwSt.
€ 2.094,40
inkl. MwSt.
Buchungsnummer
33816
Veranstaltungsort
Online
2 Events
Werde zertifizierter
Machine Lerning Engineer
Dieser Kurs ist Bestandteil der zertifizierten Master Class "Machine Learning Engineer". Bei Buchung der gesamten Master Class sparst du über 15 Prozent im Vergleich zur Buchung dieses einzelnen Moduls.
Zur Master Class
Inhouse Training
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In Kooperation mit
In this course, you will learn container management and orchestration for Kubernetes using Amazon EKS.
Content

In this course, you will learn container management and orchestration for Kubernetes using Amazon EKS. Amazon EKS makes it easy for you to run Kubernetes on AWS without needing to install, operate, and maintain your own Kubernetes control plane.

You will build an Amazon EKS cluster, configure the environment, deploy the cluster, and then add applications to your cluster. You will manage container images using Amazon Elastic Container Registry (ECR) and learn how to automate application deployment. Then you will start with deploying applications using CI/CD tools and to monitor and to scale your environment by using metrics, logging, tracing, and horizontal/vertical scaling. Byond that you will design and manage a large container environment by designing for efficiency, cost, and resiliency, configure AWS networking services to support the cluster and secure your Amazon EKS environment.

Module 1: Kubernetes Fundamentals

  • Container orchestration
  • Kubernetes objects
  • Kubernetes internals

Module 2: Amazon EKS Fundamentals

  • Introduction to Amazon EKS
  • Amazon EKS control plane
  • Amazon EKS data plane
  • Fundamentals of Amazon EKS security
  • Amazon EKS API

Module 3: Building an Amazon EKS Cluster

  • Configuring your environment
  • Creating an Amazon EKS cluster
  • Demo: Deploying a cluster
  • Deploying worker nodes
  • Demo: Completing a cluster configuration
  • Preparing for lab: Building an Amazon EKS Cluster

Module 4: Deploying Applications to Your Amazon EKS Cluster

  • Configuring Amazon Elastic Container Registry (Amazon ECR)
  • Demo: Configuring Amazon ECR
  • Deploying applications with Helm
  • Demo: Deploying applications with Helm
  • Continuous deployment in Amazon EKS
  • GitOps and Amazon EKS
  • Preparing for lab: Deploying Applications

Module 5: Configuring Observability in Amazon EKS

  • Configuring observability in an Amazon EKS cluster
  • Collecting metrics
  • Using metrics for automatic scaling
  • Managing logs
  • Application tracing in Amazon EKS
  • Gaining and applying insight from observability
  • Preparing for lab: Monitoring Amazon EKS

Module 6: Balancing Efficiency, Resilience, and Cost Optimization in Amazon EKS

  • The high level overview
  • Designing for resilience
  • Designing for cost optimization
  • Designing for efficiency

Module 7: Managing Networking in Amazon EKS

  • Review: Networking in AWS
  • Communicating in Amazon EKS
  • Managing your IP space
  • Deploying a service mesh
  • Preparing for lab: Exploring Amazon EKS Communication

Module 8: Managing Authentication and Authorization in Amazon EKS

  • Understanding the AWS shared responsibility model
  • Authentication and authorization
  • Managing IAM and RBAC
  • Demo: Customizing RBAC roles
  • Managing pod permissions using RBAC service accounts

Module 9: Implementing Secure Workflows

  • Securing cluster endpoint access
  • Improving the security of your workflows
  • Improving host and network security
  • Managing secrets
  • Preparing for lab: Securing Amazon EKS

Module 10: Managing Upgrades in Amazon EKS

  • Planning for an upgrade
  • Upgrading your Kubernetes version
  • Amazon EKS platform versions
Benefits
  • Describe Kubernetes and Amazon EKS fundamentals and the impact of containers on workflows
  • Build an Amazon EKS cluster by selecting the correct compute resources to support worker nodes
  • Secure your environment with AWS Identity and Access Management (IAM) authentication and Kubernetes Role Based Access Control (RBAC) authorization
  • Deploy an application on the cluster
  • Publish container images to Amazon ECR and secure access via IAM policy
  • Deploy applications using automated tools and pipelines. Create a GitOps pipeline using WeaveFlux
  • Collect monitoring data through metrics, logs, and tracing with AWS X-Ray and identify metrics for performance tuning. Review scenarios where bottlenecks require the best scaling approach using horizontal or vertical scaling
  • Assess the tradeoffs between efficiency, resiliency, and cost and the impact of tuning for one over the others. Describe and outline a holistic, iterative approach to optimizing your environment. Design for cost, efficiency, and resiliency
  • Configure AWS networking services to support the cluster. Describe how Amazon Virtual Private Cloud (VPC) supports Amazon EKS clusters and simplifies inter-node communications
  • Describe the function of the VPC Container Network Interface (CNI)
  • Review the benefits of a service mesh
  • Upgrade Kubernetes, Amazon EKS, and third party tools
Instructor
Vladimir Sabo
Yuri Nikulin
Matthew Millward
Methods

This course includes instructor lecture, presentations, hands-on labs, demonstrations, and group exercises/discussions.

Who should attend

This course is intended for the following job roles:

  • Solution Architect
  • CloudOps
  • DevOps

We recommend that attendees of this course have:

  • Experience in working with container technology (Docker / Kubernetes)
  • Basic Linux administration experience
  • Basic network administration experience
  • Basic knowledge of containers and microservices
Starttermine und Details

Lernform

Learning form

22.1.2025
Online
Plätze frei
Durchführung gesichert
Online
Plätze frei
Durchführung gesichert
17.3.2025
Online
Plätze frei
Durchführung gesichert
Online
Plätze frei
Durchführung gesichert

The training is carried out in cooperation with an authorized training partner. For the purpose of implementation, participant data will be transferred to the training partner and the training partner assumes responsibility for the processing of these data. Please take note of the corresponding privacy policy.

Du hast Fragen zum Training?
Ruf uns an unter +49 761 595 33900 oder schreib uns auf service@haufe-akademie.de oder nutze das Kontaktformular.