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Running Containers on Amazon Elastic Kubernetes Service (Amazon EKS)

Written by wamrhein on . Posted in AWS Training, Training.

Running Containers on Amazon Elastic Kubernetes Service (Amazon EKS)

current course dates can be found at the bottom of this page … company training available on request!

Course description

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

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. You will deploy applications using CI/CD tools. You will learn how to monitor and scale your environment by using metrics, logging, tracing, and horizontal/vertical scaling. You will learn how to design and manage a large container environment by designing for efficiency, cost, and resiliency. You will configure AWS networking services to support the cluster and learn how to secure your Amazon EKS environment.

Course objectives

In this course, you will learn to:

  • 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 your Kubernetes, Amazon EKS, and third party tools.

Intended audience

This course is intended for:

  • people who provide container orchestration management in the AWS Cloud including:
    • DevOps engineers
    • Systems administrators

Prerequisites

We recommend that attendees of this course have:

  • Completed Amazon Elastic Kubernetes Service (EKS) Primer
  • Completed AWS Cloud Practitioner Essentials (or equivalent real-world experience)
  • Basic Linux administration experience
  • Basic network administration experience
  • Basic knowledge of containers and microservices

Activities

This course includes:

  • Training with instructor
  • Practical exercises

Course duration / Price

  • 3 days
  • € 2,685.00 (excl. tax) per person (DE)
  • CHF 2,500.00 (excl. tax) per person (CH)

Course outline

Day 1:

  • Module 0: Course Introduction
  • Module 1: Kubernetes Fundamentals
  • Hands-On Lab 1: Deploying Kubernetes Pods
  • Module 2: Amazon EKS Fundamentals
  • Module 3: Building an Amazon EKS Cluster
  • Hands-On Lab 2: Building an Amazon EKS cluster

Day 2:

  • Module 4: Deploying Applications to Your Amazon EKS Cluster
  • Hands-On Lab 3: Deploying applications
  • Module 5: Architecting on Amazon EKS Part 1: Observe and Optimize
  • Hands-On Lab 4: Monitoring Amazon EKS
  • Module 6: Architecting on Amazon EKS Part 2: Balancing Efficiency, Resiliency, and Cost

Day 3:

  • Module 7: Managing Networking in Amazon EKS
  • Hands-On Lab 5: Exploring Amazon EKS Communication
  • Module 8: Securing Amazon EKS Clusters
  • Hands-On Lab 6: Securing Amazon EKS
  • Module 9: Managing Upgrades in Amazon EKS

 

IMPORTANT: Please bring your notebook (Windows, Linux or Mac) to our trainings. If this is not possible, please contact us in advance.

Course materials are in English, on request also in German (if available).
Course language is German, on request also in English.

AWS Cloud Development Kit (CDK) Essentials

Written by wamrhein on . Posted in tecRacer Trainings, Training.

AWS Cloud Development Kit (CDK) Essentials

current course dates can be found at the bottom of this page … company training available on request!

Course description

In this introductory course, you will learn about the products, services, and common solutions around the AWS Cloud Development Kit. You will learn the basics around infrastructure as code, concepts and decision support for infrastructure as code, and how to build infrastructure with the AWS Cloud Development Kit. For more information and outlines, see the course content.

Course objectives

In this course, you will learn:

  • What is infrastructure as code
  • Concepts and decision guidelines for infrastructure as code frameworks.
  • Building Infrastructure with the AWS Cloud Development Kit

Intended audience

This course is intended for:

  • Developers
  • System administrators
  • DevOps team members

Activities

This course includes:

  • Training with instructor
  • Practical exercises. Bookable as TypeScript and Python course. For in-house training C#, Java or GO is also possible.
  • Knowledge queries

Course duration / Price

  • 1 day / € 750.00 (excl. tax) per person (DE)

Course outline

Module 1: Infrastructure as Code (IaC) Overview

  • What is IaC
  • Introduction and comparison of CloudFormation, Terraform, and CDK.
  • Conceptual differences between the frameworks

Module 2: Developing with the Cloud Development Kit

  • Architecture of the CDK
  • Abstraction with constructs
  • How to get started with the CDK

Module 3: Development process

  • Initialization
  • Project start
  • Test stages

Module 4: VPC and IAM with the CDK

  • Creating network infrastructure with the CDK
  • Rights management
  • EC2 instances

IMPORTANT: Please bring your notebook (Windows, Linux or Mac) to our trainings. If this is not possible, please contact us in advance.

Course materials are in English, on request also in German (if available).
Course language is German, on request also in English.

Practical Data Science with Amazon SageMaker

Written by wamrhein on . Posted in AWS Training, Training.

Practical Data Science with Amazon SageMaker

current course dates can be found at the bottom of this page … company training available on request!

Course description

In this course, learn how to solve a real-world use case with machine learning and produce actionable results using Amazon SageMaker. This course teaches you how to use Amazon SageMaker to cover the different stages of the typical data science process, from analyzing and visualizing a data set, to preparing the data and feature engineering, down to the practical aspects of model building, training, tuning and deployment.

Course objectives

In this course, you will learn to:

  • Prepare a dataset for training.
  • Train and evaluate a machine learning model.
  • Automatically tune a machine learning model.
  • Prepare a machine learning model for production.
  • Think critically about machine learning model results.

Intended audience

This course is intended for:

  • A technical audience at an intermediate level

Prerequisites

We recommend that attendees of this course have:

  • Working knowledge of a programming language

Activities

This course includes:

  • Training with instructor
  • Practical exercises

Course duration / Price

  • 1 day / € 750.00 (excl. tax) per person (DE)

Course outline

  • Business problem: Churn prediction
  • Load and display the dataset
  • Assess features and determine which Amazon SageMaker algorithm to use
  • Use Amazon Sagemaker to train, evaluate, and automatically tune the model
  • Deploy the model
  • Assess relative cost of errors

IMPORTANT: Please bring your notebook (Windows, Linux or Mac) to our trainings. If this is not possible, please contact us in advance.

Course materials are in English, on request also in German (if available).
Course language is German, on request also in English.

Terraform Essentials

Written by wamrhein on . Posted in Terraform Training, Training.

Terraform Essentials

current course dates can be found at the bottom of this page … company training available on request!

Course description

Terraform Essentials explains the benefits of Terraform in the cloud computing / AWS environment and gives participants practical examples in the “Infrastructure as Code” (IaC) topic area. In this course, we also train the advantages of open source description languages in the DevOps environment. By means of exercises, practical experience is gained quickly and participants learn to write reusable code. Demos teach concepts and good practice outside the box.

 

Course objectives

In this course, you will learn to:

  • Advantages of Terraform for creating cloud resources
  • Terraform basic commands and functionality
  • Understand and apply language concepts to efficiently write readable and reusable code
  • Hands-on experience working with Terraform

Prerequisites

We recommend that attendees of this course have:

  • Basic understanding of general networking concepts and multi-layer architectures.
  • Understanding of cloud computing concepts
  • Basic knowledge of basic AWS services (VPC, EC2, S3)
  • Basic knowledge of software development and system administration (git, Bash, advanced editor)

Course duration / Price

  • 1 day / € 750.00 (excl. tax) per person (DE)

Course outline

  • Introduction
  • Basic commands
  • Core concepts 1 (State, Resources, Variables)
  • Coding block 1 – Practical exercise
  • Core concepts 2 (References, Outputs, Naming, Functions)
  • Coding block 2 – Practical exercise
  • Core Concepts 3 (External Resources, Loops & If/Else, Locals, Meta Arguments)
  • Coding Block 3 – Practical Exercise
  • Reusable Code: Modules
  • Quiz, outlook and certification 

IMPORTANT: Please bring your notebook (Windows, Linux or Mac) to our trainings. If this is not possible, please contact us in advance.

The practical exercises are performed in prepared working environments available via web browser – no software needs to be installed. The course materials are in English, the trainer’s course language is German.

Terraform Engineering

Written by wamrhein on . Posted in Terraform Training, Topseller, Training.

Terraform Engineering

current course dates can be found at the bottom of this page … company training available on request!

Course description

The first day of the Terraform Engineering course contains the same content as the Terraform Essentials course. The second day focuses on the practical integration of Terraform into production environments. Based on this requirement, advanced functionalities of Terraform will be discussed and also the ecosystem of helpful tools and concepts around Terraform and pipelines will be worked out by means of practical exercises. This course is particularly suitable for participants who want to use/implement Terraform productively.

Our trainers have excellent training skills and Terraform project experience.

We offer open trainings in Hamburg, Hanover and Düsseldorf. We are also happy to conduct training at your location.

Course objectives

In this course, you will learn to:

  • Understand benefits of using Terraform to create cloud resources
  • Understand Terraform basic commands and functionality
  • Understand and apply language concepts to efficiently write readable and reusable code
  • Gain hands-on experience working with Terraform
  • Understand and use advanced Terraform concepts
  • Helpful open source tools when used in pipelines/git-based workflows
  • Try out advanced terraform commands and coding

Prerequisites

We recommend that attendees of this course have:

  • Basic understanding of general networking concepts and multi-layer architectures.
  • Understanding of cloud computing concepts
  • Basic knowledge of basic AWS services (VPC, EC2, S3)
  • Basic knowledge of software development and system administration (git, Bash, advanced editor)
  • Basic understanding of git-based workflows/pipelines

Course duration / Price

  • 2 days / € 1500.00 (excl. tax) per person (DE)

Course outline

  • Introduction
  • Basic commands
  • Core concepts 1 (State, Resources, Variables)
  • Coding block 1 – Practical exercise
  • Core concepts 2 (References, Outputs, Naming, Functions)
  • Coding block 2 – Practical exercise
  • Core Concepts 3 (External Resources, Loops & If/Else, Locals, Meta Arguments)
  • Coding Block 3 – Practical Exercise
  • Reusable Code: Modules
  • Quiz, outlook and certification
  • CI/CD Concepts 1 (Remote State, Local Tooling, Debugging, Testing)
  • Coding Block 1 – Practical Exercise
  • CI/CD Concepts 2 (Custom Modules, Pipeline Tooling, Advanced CLI)
  • Coding block 2 – Practical exercise
  • CI/CD Concepts 3 (Authentication, Dynamics, Loops, Templating)
  • Coding block 3 – Practical exercise
  • Terraform Top20 Good Practices
  • Quiz, Outlook

IMPORTANT: Please bring your notebook (Windows, Linux or Mac) to our trainings. If this is not possible, please contact us in advance.

The practical exercises are performed in prepared working environments available via web browser – no software needs to be installed. The course materials are in English, the trainer’s course language is German.