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Running Container Enabled Microservices on AWS

4.6 out of 5 rating

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Duration

1 Days

6 CPD hours

About this course

This course is intended for:
Developers
System Administrators
Solutions Architects

Overview

This course is designed to teach you how to:
Design a microservices-based architecture that uses containers
Use Amazon ECS to run and scale a microservices-based application
Integrate Amazon ECS with other AWS services

Description

Running Container-Enabled Microservices on AWS is designed to teach you how to manage and scale container-enabled applications by using Amazon Elastic Container Service (ECS). This course highlights the challenges of running containerized applications at scale and provides guidance on creating and using Amazon ECS to develop and deploy containerized microservices-based applications. In the hands-on lab exercises you will use Amazon ECS to handle long-running services, build and deploy container images, link services together, and scale capacity to meet demand. You will also learn how to run container workers for asynchronous application processes.

Module 1a: Overview of Microservices on AWS
  • Welcome to Simple Mustache Service!
    The monolith
    What are microservices
    How to implement a microservices infrastructure
    The six principles of microservices
Module 1b: Containers and Docker
  • Introduction to containers
  • Comparing virtual machines with containers
  • Docker
  • Running containers
  • Storing container images
  • Hands-on lab: Building and running your first container
Module 2: Continuous delivery for container-based microservices
  • Compare and contrast different software development cycles
    Use AWS CodePipeline to code, build, and deploy a microservice
    Use AWS CodeCommit as a source control service
    Use Jenkins to perform a Docker build
    Use Postman to run and test microservices
    Use AWS CloudFormation to provision and deploy microservices
    Hands-on lab: Using the Amazon ECS Service Scheduler
Module 3: High availability and scaling with Amazon Elastic Container Service
  • High availability
    Cluster management and scheduling
    Monitoring
    Scaling a cluster
    Scaling services
    Hands-on lab: Continuous delivery pipelines for container-based microservices
Module 4: Security for container-based microservices
  • Implement security
    Apply best practices
    Automate security
    Evaluate compliance requirements
    Embed security into the CI/CD
    Hands-on lab: Extending Amazon ECS with Service Discovery and Config Management
Additional course details:

Nexus Humans Running Container Enabled Microservices on AWS training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward.

This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts.

Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success.

While we feel this is the best course for the Running Container Enabled Microservices on AWS course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you.

Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Training Insurance Included!

When you organise training, we understand that there is a risk that some people may fall ill, become unavailable. To mitigate the risk we include training insurance for each delegate enrolled on our public schedule, they are welcome to sit on the same Public class within 6 months at no charge, if the case arises.

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