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Developing Serverless Solutions on AWS

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

Developing Serverless Solutions on AWS

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

Course description

This course gives developers exposure to and practice with best practices for building serverless applications using AWS Lambda and other services in the AWS serverless platform. You’ll use AWS frameworks to deploy a serverless application in hands-on labs that progress from simpler to more complex topics. You will use AWS documentation throughout the course to develop authentic methods for learning and problem-solving beyond the classroom.

Course objectives

In this course, you will learn to:

  • Apply event-driven best practices to a serverless application design using appropriate AWS services
  • Identify the challenges and trade-offs of transitioning to serverless development, and make recommendations that suit your development organization and environment
  • Build serverless applications using patterns that connect AWS managed services together, and account for service characteristics, including service quotas, available integrations, invocation model, error handling, and event source payload
  • Compare and contrast available options for writing infrastructure as code, including AWS CloudFormation, AWS Amplify, AWS Serverless Application Model (AWS SAM), and AWS Cloud Development Kit (AWS CDK)
  • Apply best practices to writing Lambda functions inclusive of error handling, logging, environmen re-use, using layers, statelessness, idempotency, and configuring concurrency and memory
  • Apply best practices for building observability and monitoring into your serverless application
  • Apply security best practices to serverless applications
  • Identify key scaling considerations in a serverless application, and match each consideration to the methods, tools, or best practices to manage it
  • Use AWS SAM, AWS CDK, and AWS developer tools to configure a CI/CD workflow, and automate deployment of a serverless application
  • Create and actively maintain a list of serverless resources that will assist in your ongoing serverless development and engagement with the serverless community

Intended audience

This course is intended for:

  • Developers who have some familiarity with serverless and experience with development in the AWS Cloud

Prerequisites

We recommend that attendees of this course have:

  • Familiarity with the basics of AWS Cloud architecture
  • An understanding of developing applications on AWS equivalent to completing the “Developing on AWS“
  • Knowledge equivalent to completing the following serverless digital trainings: AWS Lambda Foundations and Amazon API Gateway for Serverless Applications

Activities

This course includes:

  • presentations
  • hands-on labs
  • demonstrations
  • videos
  • knowledge checks
  • group exercises

Course duration / Price

  • 3 days / € 1,995.00 (excl. tax) per person (DE)

Course outline

Day 1

Module 0: Introduction

Module 1: Thinking Serverless

Module 2: API-Driven Development and Synchronous Event Sources

Module 3: Introduction to Authentication, Authorization, and Access Control

Module 4: Serverless Deployment Frameworks

Module 5: Using Amazon EventBridge and Amazon SNS to Decouple Components

Module 6: Event-Driven Development Using Queues and Streams

Hands-On Labs

Day 2

Module 7: Writing Good Lambda Functions

Module 8: Step Functions for Orchestration

Module 9: Observability and Monitoring

Hands-On Labs

Day 3

Module 10: Serverless Application Security

Module 11: Handling Scale in Serverless Applications

Module 12: Automating the Deployment Pipeline

Hands-On Labs

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.

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.