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DevOps Engineering on AWS with AWS Jam

Written by Gemma Corrado on . Posted in AWS Training, Training.

  • Aws Advanced Training Partner

  • Aws Premium Consuting Partner

DevOps Engineering on AWS with AWS Jam

Please find our upcoming course dates at the end of this page!

Course description

DevOps Engineering on AWS teaches you how to use the combination of DevOps cultural philosophies, practices, and tools to increase your organization’s ability to develop, deliver, and maintain applications and services at high velocity on AWS. This course covers Continuous Integration (CI), Continuous Delivery (CD), infrastructure as code, microservices, monitoring and logging, and communication and collaboration. Hands-on labs give you experience building and deploying AWS CloudFormation templates and CI/CD pipelines that build and deploy applications on Amazon Elastic Compute Cloud (Amazon EC2), serverless applications, and container-based applications. Labs for multi-pipeline workflows and pipelines that deploy to multiple environments are also included.

The final day is an AWS Jam, a gamified event, with teams competing to score points by completing a series of challenges according to established best practices based on concepts covered in the course. You get to experience a wide range of AWS services in a series of real-world scenarios that represent common operational and troubleshooting tasks. The end result is developing, enhancing, and validating your skillsets in the AWS Cloud through real-world problem solving, exploring new services, features, and understanding how they interoperate.

COURSE OBJECTIVES

In this course, you will learn to:

  • Use DevOps best practices to develop, deliver, and maintain applications and services at high velocity on AW
  • List the advantages, roles and responsibilities of small autonomous DevOps teams
  • Design and implement an infrastructure on AWS that supports DevOps development projects
  • Leverage AWS Cloud9 to write, run and debug your code
  • Deploy various environments with AWS CloudFormation
  • Host secure, highly scalable, and private Git repositories with AWS CodeCommit
  • Integrate Git repositories into CI/CD pipelines
  • Automate build, test, and packaging code with AWS CodeBuild
  • Securely store and leverage Docker images and integrate them into your CI/CD pipelines
  • Build CI/CD pipelines to deploy applications on Amazon EC2, serverless applications, and container-based applications
  • Implement common deployment strategies such as “all at once,” “rolling,” and “blue/green”
  • Integrate testing and security into CI/CD pipelines
  • Monitor applications and environments using AWS tools and technologies
  • Work in a team environment to solve real AWS use-case challenges in an AWS Jam

INTENDED AUDIENCE

This course is intended for:

  • DevOps engineers
  • DevOps architects
  • Operations engineers
  • System administrators
  • Developers

PREREQUISITES

We recommend that attendees of this course have:

  • Previous attendance at the Systems Operations on AWS or Developing on AWS courses
  • Working knowledge of one or more high-level programing languages, such as C#, Java, PHP, Ruby, Python
  • Intermediate knowledge of administering Linux or Windows systems at the command-line level
  • Two or more years of experience provisioning, operating, and managing AWS environments

ACTIVITIES

This course includes:

  • presentations
  • group exercises
  • hands-on labs
  • team-based gamified challenge

COURSE DURATION / PRICE

  • 4 days
  • € 2,485.00 (excl. tax) per person (DE)

Course outline

  • Day 1

    • Module 1: Introduction to DevOps
      • What is DevOps?
      • The Amazon journey to DevOps
      • Foundations for DevOps
    • Module 2: Infrastructure Automation
      • Introduction to Infrastructure Automation
      • Diving into the AWS CloudFormation template
      • Modifying an AWS CloudFormation template
      • Demonstration: AWS CloudFormation template structure, parameters, stacks, updates, importing resources, and drift detection
    • Module 3: AWS Toolkits
      • Configuring the AWS CLI
      • AWS Software Development Kits (AWS SDKs)
      • AWS SAM CLI
      • AWS Cloud Development Kit (AWS CDK)
      • AWS Cloud9
      • Demonstration: AWS CLI and AWS CDK
      • Hands-on lab: Using AWS CloudFormation to provision and manage a basic infrastructure
    • Module 4: Continuous integration and continuous delivery (CI/CD) with development tools
      • CI/CD Pipeline and Dev Tools
      • Demonstration: CI/CD pipeline displaying some actions from AWS CodeCommit, AWS CodeBuild, AWS CodeDeploy and AWS CodePipeline
      • Hands-on lab: Deploying an application to an EC2 fleet using AWS CodeDeploy

  • Day 2

    • Module 4: Continuous integration and continuous delivery (CI/CD) with development tools
      • AWS CodePipeline
      • Demonstration: AWS integration with Jenkins
      • Hands-on lab: Automating code deployments using AWS CodePipeline
    • Module 5: Introduction to Microservices
      • Introduction to Microservices
    • Module 6: DevOps and containers
      • Deploying applications with Docker
      • Amazon Elastic Container Service and AWS Fargate
      • Amazon Elastic Container Registry and Amazon Elastic Kubernetes service
      • Demonstration: CI/CD pipeline deployment in a containerized application
    • Module 7: DevOps and serverless computing
      • AWS Lambda and AWS Fargate
      • AWS Serverless Application Repository and AWS SAM
      • AWS Step Functions
      • Demonstration: AWS Lambda and characteristics
      • Demonstration: AWS SAM quick start in AWS Cloud9
      • Hands-on lab: Deploying a serverless application using AWS Serverless Application Model (AWS SAM) and a CI/CD Pipeline
    • Module 8: Deployment strategies
      • Continuous Deployment
      • Deployments with AWS Services
    • Module 9: Automated testing
      • Introduction to testing
      • Tests: Unit, integration, fault tolerance, load, and synthetic
      • Product and service integrations

  • Day 3

    • Module 10: Security automation
      • Introduction to DevSecOps
      • Security of the Pipeline
      • Security in the Pipeline
      • Threat Detection Tools
      • Demonstration: AWS Security Hub, Amazon GuardDuty, AWS Config, and Amazon Inspector
    • Module 11: Configuration management
      • Introduction to the configuration management process
      • AWS services and tooling for configuration management
      • Hands-on lab: Performing blue/green deployments with CI/CD pipelines and Amazon Elastic Container Service (Amazon ECS
    • Module 12: Observability
      • Introduction to observability
      • AWS tools to assist with observability
      • Hands-on lab: Using AWS DevOps tools for CI/CD pipeline automation
    • Module 13: Reference architecture (Optional module)
      • Reference architectures
    • Module 14: Course summary
      • Components of DevOps practice
      • CI/CD pipeline review
      • AWS Certification

  • Day 4

    • AWS Jam
      • Participate in team-based challenges in a real AWS environment
      • Compete with your colleagues in a gamified, hands-on learning experience
      • Apply your learning from the course on various AWS services

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).
The Course language is German, on request also in English.

Neue Termine in Planung!

Continue reading

Architecting on AWS with AWS Jam

Written by Gemma Corrado on . Posted in AWS Training, Training.

  • Aws Advanced Training Partner

  • Aws Premium Consuting Partner

Architecting on AWS with AWS Jam

Please find our upcoming course dates at the end of this page!

COURSE DESCRIPTION

Architecting on AWS is for solutions architects, solution-design engineers, and developers seeking an understanding of AWS architecting. In this course, you will learn to identify services and features to build resilient, secure and highly available IT solutions on the AWS Cloud.

Architectural solutions differ depending on the industry, types of applications, and business size. AWS Authorized Instructors emphasize best practices using the AWS Well-Architected Framework, and guide you through the process of designing optimal IT solutions, based on real-life scenarios. The modules focus on account security, networking, compute, storage, databases, monitoring, automation, containers, serverless architecture, edge services, and backup and recovery. At the end of the course, you will practice building a solution and apply what you have learned with confidence.

COURSE OBJECTIVES

In this course, you will learn to:

  • Identify AWS architecting basic practices.
  • Explore using the AWS management tools: The AWS Console, Command Line Interface (CLI), and CloudFormation in a lab environment.
  • Examine the enforcement of accounts security using policies.
  • Identify the elements that build an elastic, secure, virtual network that includes private and public subnets.
  • Practice building an AWS core networking infrastructure.
  • Determine strategies for a layered security approach to Virtual Private Cloud (VPC) subnets.
  • Identify strategies to select the appropriate compute resources based on business use-cases.
  • Practice building a VPC and adding an Elastic Cloud Compute (EC2) instance in a lab environment.
  • Practice installing an Amazon Relational Database Service (RDS) instance and an Application Load Balancer (ALB) in the VPC you created.
  • Compare and contrast AWS storage products and services, based on business scenarios.
  • Compare and contrast the different types of AWS database services based on business needs.
  • Practice building a highly available, auto-scaling database layer in a lab.
  • Explore the business value of AWS monitoring solutions.
  • Identify and discuss AWS automation tools that will help you build, maintain and evolve your infrastructure.
  • Discuss network peering, VPC endpoints, gateway and routing solutions based on use-cases.
  • Discuss hybrid networking configurations to extend and secure your infrastructure.
  • Discuss the benefits of microservices as an effective decoupling strategy to power highly available applications at scale.
  • Explore AWS container services for the rapid implementation of an infrastructure-agnostic, portable application environment.
  • Identify the business and security benefits of AWS serverless services based on business examples.
  • Practice building a serverless infrastructure in a lab environment.
  • Discuss how AWS edge services address latency and security.
  • Practice building a CloudFront deployment with an S3 backend in a lab environment.
  • Explore AWS backup, recovery solutions, and best practices to ensure resiliency and business continuity.
  • Build a highly available and secure cloud architecture based on a business problem, in a project-based facilitator-guided lab.

INTENDED AUDIENCE

This course is intended for:

  • solutions architects
  • solution-design engineers
  • developers seeking an understanding of AWS architecting
  • individuals seeking the AWS Solutions Architect-Associate certification

PREREQUISITES

We recommend that attendees of this course have:

  • AWS Cloud Practitioner Essentials, or
    • Working knowledge of distributed systems
    • Familiarity with general networking concepts
    • Familiarity with IP addressing
    • Working knowledge of multi-tier architectures
    • Familiarity with cloud computing concepts

ACTIVITIES

This course includes:

  • presentations based on use cases
  • group discussions
  • demonstrations
  • assessments
  • hands-on labs

COURSE DURATION / PRICE

  • 4 days
  • € 2,285.00 (excl. tax) per person (DE)

Course outline

  • Day 1

    • Module 1: Architecting Fundamentals Review
      • AWS Services and Infrastructure
      • Infrastructure Models
      • AWS API Tools
      • Securing your infrastructure
      • The Well-Architected Framework
      • Hands-on lab: Explore Using the AWS API Tools to Deploy an EC2 Instance
    • Module 2: Account Security
      • Security Principals
      • Identity and Resource-Based Policies
      • Account Federation
      • Introduction to Managing Multiple Accounts
    • Module 3: Networking, Part 1
      • IP Addressing
      • Amazon Virtual Private Cloud (VPC), Patterns and Quotas
      • Routing
      • Internet Access
      • Network Access Control Lists (NACLs)
      • Security Groups
    • Module 4: Compute
      • Amazon Elastic Cloud Compute (EC2)
      • EC2 Instances and Instance Selection
      • High Performance Computing on AWS
      • Lambda and EC2, When to Use Which
      • Hands-On Lab: Build Your Amazon VPC Infrastructure

  • Day 2

    • Module 5: Storage
      • Shared File Systems
      • Shared EBS Volumes
      • Amazon S3, Security, Versioning and Storage Classes
      • Data Migration Tools
    • Module 6: Database Services
      • AWS Database Solutions
      • Amazon Relational Database Services (RDS)
      • DynamoDB, Features and Use Cases
      • Redshift, Features, Use Cases and Comparison with RDS
      • Scaling
      • Caching and Migrating Data
      • Hands-on Lab: Create a Database Layer in Your Amazon VPC Infrastructure
    • Module 7: Monitoring and Scaling
      • Monitoring: CloudWatch, CloudTrail, and VPC Flow Logs
      • Invoking Events
      • Elastic Load Balancing
      • Auto Scaling Options and Monitoring Cost
      • Hands-on Lab: Configure High Availability in Your Amazon VPC
    • Module 8: Automation
      • CloudFormation
      • AWS Systems Manager
    • Module 9: Containers
      • Microservices
      • Monitoring Microservices with X-Ray
      • Containers

  • Day 3

    • Module 10: Networking Part 2
      • VPC Peering & Endpoints
      • Transit Gateway
      • Hybrid Networking
      • Route 53
    • Module 11: Serverless Architecture
      • Amazon API Gateway
      • Amazon SQS, Amazon SNS
      • Amazon Kinesis Data Streams & Kinesis Firehose
      • Step Functions
      • Compare Amazon SQS to Amazon MQ
      • Hands-on Lab: Build a Serverless Architecture
    • Module 12: Edge Services
      • Amazon CloudFront
      • AWS Web Application Firewall (WAF), DDoS and Firewall Manager
      • Compare AWS Global Accelerator and Amazon CloudFront
      • AWS Outposts
      • Hands-On Lab: Configure an Amazon CloudFront Distribution with an Amazon S3 Origin
    • Module 13: Backup and Recovery
      • Planning for Disaster Recovery
      • AWS Backup
      • Recovery Strategies
    • Capstone Lab: Build an AWS Multi-Tier Architecture

  • Day 4

    • AWS Jam
      • Participate in team-based challenges in a real AWS environment
      • Compete with your colleagues in a gamified, hands-on learning experience
      • Apply your learning from the course on various AWS services

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

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

Neue Termine in Planung!

Continue reading

Advanced Developing on AWS with AWS Jam

Written by Gemma Corrado on . Posted in AWS Training, Training.

  • Aws Advanced Training Partner

  • Aws Premium Consuting Partner

Advanced Developing on AWS with AWS Jam

Please find our upcoming course dates at the end of this page!

COURSE DESCRIPTION

The Advanced Developing on AWS course uses the real-world scenario of taking a legacy, on-premises monolithic application and refactoring it into a serverless microservices architecture. This four-day advanced course covers advanced development topics such as architecting for a cloud-native environment; deconstructing on-premises, legacy applications and repackaging them into cloud-based, cloud native architectures; and applying the tenets of the Twelve-Factor Application methodology.

The final day is an AWS Jam, a gamified event, with teams competing to score points by completing a series of challenges according to established best practices based on concepts covered in the course. You get to experience a wide range of AWS services in a series of real-world scenarios that represent common operational and troubleshooting tasks. The end result is developing, enhancing, and validating your skillsets in the AWS Cloud through real-world problem solving, exploring new services, features, and understanding how they interoperate.

COURSE OBJECTIVES

In this course, you will learn to:

  • Analyze a monolithic application architecture to determine logical or programmatic break points where the application can be broken up across different AWS services
  • Apply Twelve-Factor Application manifesto concepts and steps while migrating from a monolithic architecture
  • Recommend the appropriate AWS services to develop a microservices based cloud-native application
  • Use the AWS API, CLI, and SDKs to monitor and manage AWS services
  • Migrate a monolithic application to a microservices application using the 6 Rs of migration
  • Explain the SysOps and DevOps interdependencies necessary to deploy a microservices application in AWS
  • Work in a team environment to solve real AWS use-case challenges in an AWS Jam

INTENDED AUDIENCE

This course is intended for:

  • experienced software developers who are already familiar with AWS services

PREREQUISITES

We recommend that attendees of this course have:

  • In-depth knowledge of at least one high-level programming language
  • Working knowledge of core AWS services and public cloud implementation
  • Completion of the Developing on AWS classroom training, and then a minimum of 6 months of application of those concepts in a real-world environment

ACTIVITIES

This course includes:

  • presentations
  • group exercises
  • hands-on labs
  • team-based gamified challenge

COURSE DURATION / PRICE

  • 4 days
  • € 2,485.00 (excl. tax) per person (DE)

Course outline

  • Day 1

    • Module 1: The cloud journey
      • Common off-cloud architecture
      • Introduction to Cloud Air
      • Monolithic architecture
      • Migration to the cloud
      • Guardrails
      • The six R’s of migration
      • The Twelve-Factor Application Methodology
      • Architectural styles and patterns
      • Overview of AWS Services
      • Interfacing with AWS Services
      • Authentication
      • Infrastructure as code and Elastic Beanstalk
      • Demonstration: Walk through creating base infrastructure with AWS CloudFormation in the AWS console
      • Hands-on lab 1: Deploy your monolith application using AWS Elastic Beanstalk
    • Module 2: Gaining Agility
      • DevOps
      • CI/CD
      • Application configuration
      • Secrets management
      • CI/CD Services in AWS
      • Demonstration: Demo AWS Secrets Manager

  • Day 2

    • Module 3: Monolith to MicroServices
      • Microservices
      • Serverless
      • A look at Cloud Air
      • Microservices using Lambda and API Gateway
      • SAM
      • Strangling the Monolith
      • Hands-on lab: Using AWS Lambda to develop microservices
    • Module 4: Polyglot Persistence & Distributed Complexity
      • Polyglot persistence
      • DynamoDB best practices
      • Distributed complexity
      • Step functions

  • Day 3

    • Module 5: Resilience and Scale
      • Decentralized data stores
      • Amazon SQS
      • Amazon SNS
      • Amazon Kinesis Streams
      • AWS IoT Message Broker
      • Serverless event bus
      • Event sourcing and CQRS
      • Designing for resilience in the cloud
      • Hands-on lab: Exploring the AWS messaging options
    • Module 6: Security and Observability
      • Serverless Compute with AWS Lambda
      • Authentication with Amazon Cognito
      • Debugging and traceability
      • Hands-on lab: Developing microservices on AWS
      • Hands-on lab 8: Automating deployments with Cloud Formation

  • Day 4

    • AWS Jam
      • Participate in team-based challenges in a real AWS environment
      • Compete with your colleagues in a gamified, hands-on learning experience
      • Apply your learning from the course on various AWS services

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

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

Neue Termine in Planung!

Continue reading

Developing on AWS with AWS Jam

Written by Gemma Corrado on . Posted in AWS Training, Training.

  • Aws Advanced Training Partner

  • Aws Premium Consuting Partner

Developing on AWS with AWS Jam

Please find our upcoming course dates at the end of this page!

Course description

This course teaches experienced developers how to programmatically interact with AWS services to build web solutions. It guides you through a high-level architectural discussion on resource selection and dives deep into using the AWS Software Development Kits (AWS SDKs) and Command Line Interface (AWS CLI) to build and deploy your cloud applications. You will build a sample application during this course, learning how to set up permissions to the development environment, adding business logic to process data using AWS core services, configure user authentications, deploy to AWS cloud, and debug to resolve application issues. The course includes code examples to help you implement the design patterns and solutions discussed in the course. The labs reinforce key course content and help you to implement solutions using the AWS SDK for Python, .Net, and Java, the AWS CLI, and the AWS Management Console.

The final day is an AWS Jam, a gamified event, with teams competing to score points by completing a series of challenges according to established best practices based on concepts covered in the course. You get to experience a wide range of AWS services in a series of real-world scenarios that represent common operational and troubleshooting tasks. The end result is developing, enhancing, and validating your skillsets in the AWS Cloud through real-world problem solving, exploring new services, features, and understanding how they interoperate

Course objectives

In this course, you will learn to:

  • Build a simple end-to-end cloud application using AWS Software Development Kits (AWS SDKs), Command Line Interface (AWS CLI), and IDEs.
  • Configure AWS Identity and Access Management (IAM) permissions to support a development environment.
  • Use multiple programming patterns in your applications to access AWS services.
  • Use AWS SDKs to perform CRUD (create, read, update, delete) operations on Amazon Simple Storage Service (Amazon S3) and Amazon DynamoDB resources.
  • Build AWS Lambda functions with other service integrations for your web applications.
  • Understand the benefits of microservices architectures and serverless applications to design.
  • Develop API Gateway components and integrate them with other AWS services.
  • Explain how Amazon Cognito controls user access to AWS resources.
  • Build a web application using Cognito to provide and control user access.
  • Use DevOps methodology to reduce the risks associated with traditional application releases and identify AWS services that help in implementing DevOps practices.
  • Use AWS Serverless Application Model (AWS SAM) to deploy an application.
  • Observe your application build using Amazon X-Ray.
  • Work in a team environment to solve real AWS use-case challenges in an AWS Jam

Intended audience

This course is intended for experienced:

  • Software developers
  • Solution architects
  • IT workers who want to improve their developing skills using AWS Services

Prerequisites

We recommend that attendees of this course have:

  • AWS Technical Essentials completed
  • Working knowledge of AWS core services
  • Programming experience in any one of the following languages:
    • Python
    • NET
    • Java

Activities

This course includes:

  • presentations
  • demonstrations
  • hands-on labs
  • team-based gamified challenge

Course duration / Price

  • 4 Days
  • € 2,485.00 (excl. tax) per person (DE)

Course outline

  • Day 1

    • Module 1: Course Overview
    • Module 2: Building a Web Application on AWS
      • Discuss the architecture of the application you are going to build during this course
      • Explore the AWS services needed to build your web application
      • Discover how to store, manage, and host your web application
    • Module 3: Getting Started with Development on AWS
      • Describe how to access AWS services programmatically
      • List some programmatic patterns and how they provide efficiencies within AWS SDKs and AWS CLI
      • Explain the value of AWS Cloud9
    • Module 4: Getting Started with Permissions
      • Review AWS Identity and Access Management (IAM) features and components permissions to support a development environment
      • Demonstrate how to test AWS IAM permissions
      • Configure your IDEs and SDKs to support a development environment
      • Demonstrate accessing AWS services using SDKs and AWS Cloud9
    • Lab 1: Configure the Developer Environment
      • Connect to a developer environment
      • Verify that the IDE and the AWS CLI are installed and configured to use the application profile
      • Verify that the necessary permissions have been granted to run AWS CLI commands
      • Assign an AWS IAM policy to a role to delete an Amazon S3 bucket
    • Module 5: Getting Started with Storage
      • Describe the basic concepts of Amazon S3
      • List the options for securing data using Amazon S3
      • Define SDK dependencies for your code
      • Explain how to connect to the Amazon S3 service
      • Describe request and response objects
    • Module 6: Processing Your Storage Operations
      • Perform key bucket and object operations
      • Explain how to handle multiple and large objects
      • Create and configure an Amazon S3 bucket to host a static website
      • Grant temporary access to your objects
      • Demonstrate performing Amazon S3 operations using SDKs
    • Lab 2: Develop Solutions Using Amazon S3
      • Interact with Amazon S3 programmatically using AWS SDKs and the AWS CLI
      • Create a bucket using waiters and verify service exceptions codes
      • Build the needed requests to upload an Amazon S3 object with metadata attached
      • Build requests to download an object from the bucket, process data, and upload the object back to the bucket
      • Configure a bucket to host the website and sync the source files using the AWS CLI
      • Add IAM bucket policies to access the S3 website.

  • Day 2

    • Module 7: Getting Started with Databases
      • Describe the key components of DynamoDB
      • Explain how to connect to DynamoDB
      • Describe how to build a request object
      • Explain how to read a response object
      • List the most common troubleshooting exceptions
    • Module 8: Processing Your Database Operations
      • Develop programs to interact with  DynamoDB using AWS SDKs
      • Perform CRUD operations to access tables, indexes, and data
      • Describe developer best practices when accessing DynamoDB
      • Review caching options for DynamoDB to improve performance
      • Perform DynamoDB operations using SDK
    • Lab 3: Develop Solutions Using Amazon DynamoDB
      • Interact with Amazon DynamoDB programmatically using low-level, document, and high-level APIs in your programs
      • Retrieve items from a table using key attributes, filters, expressions, and paginations
      • Load a table by reading JSON objects from a file
      • Search items from a table based on key attributes, filters, expressions, and paginations
      • Update items by adding new attributes and changing data conditionally
      • Access DynamoDB data using PartiQL and object-persistence models where applicable
    • Module 9: Processing Your Application Logic
      • Develop a Lambda function using SDKs
      • Configure triggers and permissions for Lambda functions
      • Test, deploy, and monitor Lambda functions
    • Lab 4: Develop Solutions Using AWS Lambda Functions
      • Create AWS Lambda functions and interact programmatically using AWS SDKs and AWS CLI
      • Configure AWS Lambda functions to use the environment variables and to integrate with other services
      • Generate Amazon S3 pre-signed URLs using AWS SDKs and verify the access to bucket objects
      • Deploy the AWS Lambda functions with .zip file archives through your IDE and test as needed
      • Invoke AWS Lambda functions using the AWS Console and AWS CLI
    • Module 10: Managing the APIs
      • Describe the key components of API Gateway
      • Develop API Gateway resources to integrate with AWS services
      • Configure API request and response calls for your application endpoints
      • Test API resources and deploy your application API endpoint
      • Demonstrate creating API Gateway resources to interact with your application APIs
    • Lab 5: Develop Solutions Using Amazon API Gateway
      • Create RESTful API Gateway resources and configure CORS for your application
      • Integrate API methods with AWS Lambda functions to process application data
      • Configure mapping templates to transform the pass-through data during method integration
      • Create a request model for API methods to ensure that the pass-through data format complies with application rules
      • Deploy the API Gateway to a stage and validate the results using the API endpoint

  • Day 3

    • Module 11: Building a Modern Application
      • Describe the challenges with traditional architectures
      • Describe the microservice architecture and benefits
      • Explain various approaches for designing microservice applications
      • Explain steps involved in decoupling monolithic applications
      • Demonstrate the orchestration of Lambda Functions using AWS Step Function
    • Module 12: Granting Access to Your Application Users
      • Analyze the evolution of security protocols
      • Explore the authentication process using Amazon Cognito
      • Manage user access and authorize serverless APIs
      • Observe best practices for implementing Amazon Cognito
      • Demonstrate the integration of Amazon Cognito and review JWT token
    • Lab 6: Capstone – Complete the Application Build
      • Create a Userpool and an Application Client for your web application using
      • Add new users and confirm their ability to sign-in using the Amazon Cognito CLI
      • Configure API Gateway methods to use Amazon Cognito as an authorizer
      • Verify JWT authentication tokens are generated during API Gateway calls
      • Develop API Gateway resources rapidly using a Swagger importing strategy
      • Set up your web application frontend to use Amazon Cognito and API Gateway
        configurations and verify the entire application functionality
    • Module 13: Deploying Your Application
      • Identify risks associated with traditional software development practices
      • Understand DevOps methodology
      • Configure an AWS SAM template to deploy a serverless application
      • Describe various application deployment strategies
      • Demonstrate deploying a serverless application using AWS SAM
    • Module 14: Observing Your Application
      • Differentiate between monitoring and observability
      • Evaluate why observability is necessary for modern development and key components
      • Understand CloudWatch’s part in configuring the observability
      • Demonstrate using CloudWatch Application Insights to monitor applications
      • Demonstrate using X-Ray to debug your applications
    • Lab 7: Observe the Application Using AWS X-Ray
      • Instrument your application code to use AWS X-Ray capabilities
      • Enable your application deployment package to generate logs
      • Understand the key components of an AWS SAM template and deploy your application
      • Create AWS X-Ray service maps to observe end-to-end processing behavior of your application
      • Analyze and debug application issues using AWS X-Ray traces and annotations
    • Module 15: Course Wrap-up
      • Course overview
      • AWS training courses
      • Certifications
      • Course feedback

  • Day 4

    • AWS Jam
      • Participate in team-based challenges in a real AWS environment
      • Compete with your colleagues in a gamified, hands-on learning experience
      • Apply your learning from the course on various AWS services

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

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

Neue Termine in Planung!

Continue reading

Cloud Operations on AWS with AWS Jam

Written by Gemma Corrado on . Posted in AWS Training, Training.

  • Aws Advanced Training Partner

  • Aws Premium Consuting Partner

Cloud Operations on AWS with AWS Jam

Please find our upcoming course dates at the end of this page!

Course description

This course teaches systems operators and anyone performing cloud operations functions how to manage and operate automatable and repeatable deployments of networks and systems on AWS. You will learn about cloud operations functions, such as installing, configuring, automating, monitoring, securing, maintaining, and troubleshooting these services, networks, and systems. The course also covers specific AWS features, tools, and best practices related to these functions.

The final day is an AWS Jam, a gamified event, with teams competing to score points by completing a series of challenges according to established best practices based on concepts covered in the course. You get to experience a wide range of AWS services in a series of real-world scenarios that represent common operational and troubleshooting tasks. The end result is developing, enhancing, and validating your skillsets in the AWS Cloud through real-world problem solving, exploring new services, features, and understanding how they interoperate.

Course objectives

In this course, you will learn to:

  • Identify the AWS services that support the different phases of Operational Excellence, an AWS Well-Architected Framework pillar
  • Manage access to AWS resources using AWS accounts and organizations and AWS Identity and Access Management (IAM)
  • Maintain an inventory of in-use AWS resources by using AWS services, such as AWS Systems Manager, AWS CloudTrail, and AWS Config
  • Develop a resource deployment strategy using metadata tags, Amazon Machine Images (AMIs), and AWS Control Tower to deploy and maintain an AWS cloud environment
  • Automate resource deployment by using AWS services, such as AWS CloudFormation and AWS Service Catalog
  • Use AWS services to manage AWS resources through CloudOps lifecycle processes, such as deployments and patches
  • Configure a highly available cloud environment that uses AWS services, such as Amazon Route 53 and Elastic Load Balancing, to route traffic for optimal latency and performance
  • Configure AWS Auto Scaling and Amazon EC2 Auto Scaling to scale out your cloud environment based on demand
  • Use Amazon CloudWatch and associated features, such as alarms, dashboards, and widgets, to monitor your cloud environment
  • Manage permissions and track activity in your cloud environment by using AWS services, such as AWS CloudTrail and AWS Config
  • Deploy your resources to an Amazon Virtual Private Cloud (Amazon VPC), establish necessary connectivity to your Amazon VPC, and protect your resources from disruptions of service
  • State the purpose, benefits, and appropriate use cases for mountable storage in your AWS Cloud environment
  • Explain the operational characteristics of object storage in the AWS Cloud, including Amazon Simple Storage Service (Amazon S3) and Amazon S3 Glacier
  • Build a comprehensive cost model to help gather, optimize, and predict your cloud costs by using services such as AWS Cost Explorer and the AWS Cost & Usage Report
  • Work in a team environment to solve real AWS use-case challenges in an AWS Jam

Intended audience

This course is intended for:

  • System administrators and operators who are operating in the AWS Cloud
  • Informational technology workers who want to increase their cloud operations knowledge

Prerequisites

We recommend that attendees of this course have:

  • Successfully completed the AWS Technical Essentials course
  • A background in software development or systems administration
  • Proficiency in maintaining operating systems at the command line, such as shell scripting in Linux environments or cmd/PowerShell in Windows
  • Basic knowledge of networking protocols (TCP/IP, HTTP) 

Activities

This course includes:

  • instructor presentations
  • demonstrations
  • hands-on labs
  • group knowledge checks
  • team-based gamified challenge

Course duration / Price

  • 4 Days
  • € 2,285.00 (excl. tax) per person (DE)

Course outline

  • Day 1

    • Module 1: Introduction to Cloud Operations on AWS
      • What is Cloud Operations
      • AWS Well-Architected Framework
      • AWS Well-Architected Tool
    • Module 2: Access Management
      • AWS Identity and Access Management (IAM)
      • Resources, accounts, and AWS Organizations
    • Module 3: System Discovery
      • Methods to interact with AWS services
      • Tools for automating resource discovery
      • Inventory with AWS Systems Manager and AWS Config
      • Hands-On Lab: Auditing AWS Resources with AWS Systems Manager and AWS Config
    • Module 4: Deploy and Update Resources
      • Cloud Operations in deployments
      • Tagging strategies
      • Deployment using Amazon Machine Images (AMIs)
      • Deployment using AWS Control Tower
    • Module 5: Automate Resource Deployment
      • Deployment using AWS CloudFormation
      • Deployment using AWS Service Catalog
      • Hands-On Lab: Infrastructure as Code

  • Day 2

    • Module 6: Manage Resources
      • AWS Systems Manager
      • Hands-On Lab: Operations as Code
    • Module 7: Configure Highly Available Systems
      • Distributing traffic with Elastic Load Balancing
      • Amazon Route 53
    • Module 8: Automate Scaling
      • Scaling with AWS Auto Scaling
      • Scaling with Spot Instances
      • Managing licenses with AWS License Manager
    • Module 9: Monitor and Maintain System Health
      • Monitoring and maintaining healthy workloads
      • Monitoring AWS infrastructure
      • Monitoring applications
      • Hands-On Lab: Monitor Applications and Infrastructure
    • Module 10: Data Security and System Auditing
      • Maintaining a strong identity and access foundation
      • Implementing detection mechanisms
      • Automating incident remediation

  • Day 3

    • Module 11: Operate Secure and Resilient Networks
      • Building a secure Amazon Virtual Private Cloud (Amazon VPC)
      • Networking beyond the VPC
    • Module 12: Mountable Storage
      • Configuring Amazon Elastic Block Store (Amazon EBS)
      • Sizing Amazon EBS volumes for performance
      • Using Amazon EBS snapshots
      • Using Amazon Data Lifecycle Manager to manage your AWS resources
      • Creating backup and data recovery plans
      • Configuring shared file system storage
      • Hands-On Lab: Automating with AWS Backup for Archiving and Recovery
    • Module 13: Object Storage
      • Deploying Amazon Simple Storage Service (Amazon S3)
      • Managing storage lifecycles on Amazon S3
    • Module 14: Cost Reporting, Alerts, and Optimization
      • Gaining AWS cost awareness
      • Using control mechanisms for cost management
      • Optimizing your AWS spend and usage
      • Hands-On Lab: Capstone lab for CloudOps

  • Day 4

    • AWS Jam
      • Participate in team-based challenges in a real AWS environment
      • Compete with your colleagues in a gamified, hands-on learning experience
      • Apply your learning from the course on various AWS services

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).
The Course language is German, on request also in English.

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