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Building Data Lakes on AWS

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

Building Data Lakes on AWS

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

Course description

In this course, you will learn how to build an operational data lake that supports analysis of both structured and unstructured data. You will learn the components and functionality of the services involved in creating a data lake. You will use AWS Lake Formation to build a data lake, AWS Glue to build a data catalog, and Amazon Athena to analyze data. The course lectures and labs further your learning with the exploration of several common data lake architectures.

Course objectives

In this course, you will learn to:

  • Apply data lake methodologies in planning and designing a data lake
  • Articulate the components and services required for building an AWS data lake
  • Secure a data lake with appropriate permission
  • Ingest, store, and transform data in a data lake
  • Query, analyze, and visualize data within a data lake

Intended audience

This course is intended for:

  • Data platform engineers
  • Solutions architects
  • IT professionals

Prerequisites

We recommend that attendees of this course have:

  • Completed thes AWS Technical Essentials training
  • One year of experience building data analytics pipelines or have completed the Data Analytics Fundamentals course

Activities

This course includes:

  •  presentations
  • lecture
  • hands-on labs,
  • group exercises

Course duration / Price

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

Course outline

Module 1: Introduction to data lakes

  • Describe the value of data lakes
  • Compare data lakes and data warehouses
  • Describe the components of a data lake
  • Recognize common architectures built on data lakes

Module 2: Data ingestion, cataloging, and preparation

  • Describe the relationship between data lake storage and data ingestion
  • Describe AWS Glue crawlers and how they are used to create a data catalog
  • Identify data formatting, partitioning, and compression for efficient storage and query
  • Lab 1: Set up a simple data lake

Module 3: Data processing and analytics

  • Recognize how data processing applies to a data lake
  • Use AWS Glue to process data within a data lake
  • Describe how to use Amazon Athena to analyze data in a data lake

Module 4: Building a data lake with AWS Lake Formation

  • Describe the features and benefits of AWS Lake Formation
  • Use AWS Lake Formation to create a data lake
  • Understand the AWS Lake Formation security model
  • Lab 2: Build a data lake using AWS Lake Formation

Module 5: Additional Lake Formation configurations

  • Automate AWS Lake Formation using blueprints and workflows
  • Apply security and access controls to AWS Lake Formation
  • Match records with AWS Lake Formation FindMatches
  • Visualize data with Amazon QuickSight
  • Lab 3: Automate data lake creation using AWS Lake Formation blueprints
  • Lab 4: Data visualization using Amazon QuickSight

Module 6: Architecture and course review

  • Post course knowledge check
  • Architecture review
  • Course review

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.

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.

Video Streaming Essentials für AWS Media Services

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

Video Streaming Essentials für AWS Media Services

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

Course description

In this course, you will learn best practices for designing and using cloud-based video workflows. It covers important concepts related to video processing and delivery, the variables that can impact migration decisions, and real-world examples of hybrid and cloud use cases for AWS Media Services. It also introduces security, machine learning, and analytics concepts to help you consider how AWS Media Services fit into your overall cloud strategy.

Course objectives

In this course, you will learn to:

  • Articulate the essential terms and concepts fundamental to making video streaming workflow decisions, including video metrics, compression, distribution, and protocols.
  • Describe the four fundamental stages of video streaming workflows: ingest, process, store, and deliver.
  • Describe which AWS services can be used in each stage of a video streaming workflow, including ingest, processing, storage, and delivery.
  • Analyze video streaming workflow diagrams using AWS services, based on simple to complex use cases.
  • Recognize the key variables that influence workflow decisions.
  • Recognize how AWS services for compliance, storage, and compute interact with AWS Media Services in video streaming workflows and the functions they perform.
  • Use the AWS Management Console to build and run simple video streaming workflows for live and video-on-demand content.
  • Recognize the automation and data analytics available for Media Services when used with AWS Machine Learning and explore media-specific use cases for these services.
  • Explain the importance of security in the AWS Cloud and how it is applied in video streaming workflows.

Intended audience

This course is intended for:

  • Business Leaders, including managers/supervisors in the following roles:
    • Video Operator/Engineer
    • Developer
    • Architect
    • Project Manager/Engineer

Prerequisites

We recommend that attendees of this course have:

Activities

This course includes:

  • Instructor-led training
  • hands-on labs
  • video

Course duration / Price

  • 2 days / € 1,295.00 (excl. tax) per person (DE)

Course outline

Day 1

Module 1: Important Video Concepts

  • Resolution, bitrate, frame rate, latency, and compression
  • Codecs and containers
  • Group of pictures (GOP) encoding
  • ABR, packaging and distribution
  • Internet protocols used in video streaming

Module 2: Anatomy of Streaming Workflows

  • Four stages of video streaming
  • Variables that affect design decisions

Module 3: Using AWS Services in Video-on-Demand (VOD) Workflows

  • Converting a film or tape library for internet streaming
  • Increasing reach and accessibility using multiple languages and captions
  • Streaming edited highlights from a live event
  • Analyzing and tagging VOD files for media content analysis using machine learning and data analytics

Day 2
Module 4: Optimizing Workflows

  • Security
  • Migrating to the cloud
  • Cloud financial management

Module 5: Using AWS Services in Live Workflows

  • Challenges of live streaming
  • Live streaming a simple interview show
  • Live streaming a major sporting event to a global audience
  • Live switching between multiple inputs
  • Saving segments from a live show to create VOD segments

Module 6: Recap and Review

Module 7: Next Steps

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 Financial Management for Builders

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

AWS Cloud Financial Management for Builders

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

Course description

This course is for individuals who seek an understanding of how to manage, optimize, and predict costs as you run workloads on AWS. You learn how to implement architectural best practices, explore cost optimization strategies, and design patterns to help you architect cost-efficient solutions on AWS.

Course objectives

In this course, you will learn to:

  • Explain the cost of core AWS services
  • Determine and predict costs associated with current and future cloud workloads
  • Use strategies and best practices to reduce AWS costs
  • Use AWS tools to manage, monitor, alert, and optimize your AWS spend
  • Apply strategies to monitor service costs and usage
  • Implement governance standards, including resource tagging, account structure, provisioning, permissions, and access

Intended audience

This course is intended for:

  • Solutions architects
  • Developers
  • Cost-optimization leads
  • System administrators

Prerequisites

We recommend that attendees of this course have:

Activities

This course includes:

  • presentations
  • hands-on labs
  • demonstrations

Course duration / Price

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

Course outline

Day 1
Module 0: Couse Overview

  • Course introduction

Module 1: Introduction to Cloud Financial Management

  • Introduction to Cloud Financial Management
  • Four pillars of Cloud Financial Management

Module 2: Resource Tagging

  • Tagging resources
  • Hands-On Lab: Cost optimization: Control Resource Consumption Using Tagging and AWS Config

Module 3: Pricing and Cost

  • Fundamentals of pricing
  • AWS Free Tier
  • Volume discounts
  • Savings plans and Reserved Instances
  • Demonstration: AWS Pricing Calculator

Module 4: AWS Billing, Reporting, and Monitoring

  • Understanding AWS invoices
  • Reporting and planning
  • AWS Cost Explorer
  • AWS Budgets
  • Demonstration: AWS Billing Console
  • Demonstration: AWS Cost Explorer
  • Demonstration: Trusted Advisor
  • Hands-On Lab: Cost optimization: Deploy Ephemeral Environments Using Amazon EC2 Auto Scaling

Day 2
Module 5: Architecting for Cost: Compute

  • Evolution of compute efficiency
  • Amazon EC2 right-sizing
  • Purchasing options
  • Amazon CloudWatch monitoring and automation
  • Architect for Amazon EC2 Spot Instance
  • Automate the infrastructure provision
  • Manage capacity to optimize resource usage
  • Impact of software licensing
  • Serverless solutions to reduce costs
  • Demonstration: Compute Optimizer
  • Demonstration: Spot Instance Advisor
  • Hands-On Lab: Cost optimization: Right Size Amazon EC2 Instances Using Amazon CloudWatch Metrics

Module 6: Architecting for Cost: Networking

  • Data transfer costs
  • Understand data costs for different services
  • How to triage network costs
  • Hands-On Lab: Cost optimization: Reduce Data Transfer Costs Using Amazon CloudFront and Endpoints

Day 3
Module 7: Architecting for Cost: Storage

  • Amazon EBS cost, pricing, and best practices
  • Amazon S3 cost, pricing, and best practices
  • Amazon EFS cost, pricing, and best practices
  • Hands-On Lab: Cost optimization: Reduce Storage Costs Using Amazon S3 Lifecycle Management

Module 8: Architecting for Cost: Databases

  • Amazon RDS cost, pricing, and best practices
  • Amazon Aurora cost, pricing, and best practices
  • Amazon DynamoDB cost, pricing, and best practices
  • Amazon ElastiCache cost, pricing, and best practices
  • Amazon Redshift cost, pricing, and best practices

Module 9: Cost Governance

  • Setting up AWS Organizations
  • AWS Systems Manager

Module 10: Course Summary

  • Course review
  • Hands-On Lab: Cost optimization: Reduce Compute Costs Using AWS Instance Scheduler

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.