Running Container-Enabled Microservices on AWS
Without having to build, manage, and maintain your own Kubernetes control plane, the Amazon EKS makes it simple for you to run Kubernetes on AWS. You will discover how to use Amazon EKS for Kubernetes container management and orchestration in this course.
1 Day / 8 Hours
Live Class
Certificate on completion
Objectives
Here’s what you’ll learn in this course:
- Describe the principles of Amazon EKS and Kubernetes and the effects of containers on workflows.
- By choosing the appropriate computational resources to support worker nodes, construct an Amazon EKS cluster.
- To secure your environment, utilize Kubernetes Role Based Access Control (RBAC) authorization with AWS Identity and Access Management (IAM) authentication.
- Install a program on the cluster. Upload container images to Amazon ECR, then use IAM policies to control access.
- Utilize pipelines and automated methods to deploy apps. Use WeaveFlux to construct a GitOps pipeline.
- Utilize AWS X-Ray to gather monitoring data from metrics, logs, and tracing and identify metrics for performance tuning. Examine situations where bottlenecks call for the best horizontal or vertical scaling strategy.
- Analyze the trade-offs between cost, resilience, and efficiency, as well as the effects of prioritizing one over the others.
- Describe and sketch a comprehensive, iterative strategy for improving your surroundings.
- Design for affordability, effectiveness, and resilience
- AWS networking services should be configured to accommodate the cluster.
- Describe the support and ease of inter-node communication provided by Amazon Virtual Private Cloud (VPC) for Amazon EKS clusters.
- Describe the VPC Container Network Interface’s purpose (CNI). Look at the advantages of a service mesh.
- Upgrade Amazon EKS, Kubernetes, and other technologies.
Prerequisites
To qualify for taking up this AWS course, you’ll need the following:
- Completed Introduction to Containers
- 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
Intended Audience
You can take on this course if you belong to the following category of individuals:
- DevOps engineers
- Systems administrators
Activities
This Running Container-Enabled Microservices On AWS training course will include the following activities:
- Group Discussions
- Live Demonstrations
- Hands-On Labs
- Frequent Knowledge Checks
Module 0: Course Introduction
- Course preparation activities and agenda
Module 1: Kubernetes Fundamentals
- Container orchestration
- Kubernetes objects
- Kubernetes internals
Module 2: Amazon EKS Fundamentals
- Introduction to Amazon EKS
- Amazon EKS control plane
- Amazon EKS data plane
- Fundamentals of Amazon EKS security
- Amazon EKS API
Module 3: Building an Amazon EKS Cluster
- Configuring your environment
- Creating an Amazon EKS cluster
- Demo: Deploying a cluster
- Deploying worker nodes
- Demo: Completing a cluster configuration
- Preparing for Lab 1: Building an Amazon EKS Cluster
Module 4: Deploying Applications to Your Amazon EKS Cluster
- Configuring Amazon Elastic Container Registry (Amazon ECR)
- Demo: Configuring Amazon ECR
- Deploying applications with Helm
- Demo: Deploying applications with Helm
- Continuous deployment in Amazon EKS
- GitOps and Amazon EKS
- Preparing for Lab 2: Deploying Applications
Module 5: Configuring Observability in Amazon EKS
- Configuring observability in an Amazon EKS cluster
- Collecting metrics
- Using metrics for automatic scaling
- Managing logs
- Application tracing in Amazon EKS
- Gaining and applying insight from observability
- Preparing for Lab 3: Monitoring Amazon EKS
Module 6: Balancing Efficiency, Resilience, and Cost Optimization in Amazon EKS
- The high level overview
- Designing for resilience
- Designing for cost optimization
- Designing for efficiency
Module 7: Managing Networking in Amazon EKS
- Review: Networking in AWS
- Communicating in Amazon EKS
- Managing your IP space
- Deploying a service mesh
- Preparing for Lab 4: Exploring Amazon EKS Communication
Module 8: Managing Authentication and Authorization in Amazon EKS
- Understanding the AWS shared responsibility model
- Authentication and authorization
- Managing IAM and RBAC
- Demo: Customizing RBAC roles
- Managing pod permissions using RBAC service accounts
Module 9: Implementing Secure Workflows
- Securing cluster endpoint access
- Improving the security of your workflows
- Improving host and network security
- Managing secrets
- Preparing for Lab 5: Securing Amazon EKS
Module 10: Managing Upgrades in Amazon EKS
- Planning for an upgrade
- Upgrading your Kubernetes version
- Amazon EKS platform versions
Talk to a Learning Advisor
FAQs
Yes, we are an AWS Advanced Tier Training Partner
Anyone who wants to start a profession in AWS cloud is fit to enroll in this course. No prior knowledge of coding or other technical skills is required.
To enroll in this course, choose the starting date and make an online payment. Once your payment is confirmed, our team will reach out to you.
You may reach out at the contact number listed on our official website or write to us at info@cloudwizard.wpenginepowered.com.
Wire Transfer, Credit Card, Debit Card, UPI & Purchase Order
There is no minimum number of candidates required, we are happy to train 1 to 1 should you wish. With regard to the maximum number, we can accommodate 30 learners in one batch.
1. Training delivered by an Amazon Authorised Instructor
2. AWS Content E-Kit
3. Hands-on labs- 30 days
4. Class attendance certificate
You will get the access to course content & lab on first day of your training session.
The course completion certificate will be issued to your email id within 2 weeks of completing your course.
A one-day course could be delivered over two half day sessions (4 hours a day), or a three-day course could be delivered over five days (4 hours a day).
MOBILE LAYOUT
Running Container-Enabled Microservices on AWS
1 Day / 8 Hours
Live Class
Certificate on completion
Objectives
Here’s what you’ll learn in this course:
- Describe the principles of Amazon EKS and Kubernetes and the effects of containers on workflows.
- By choosing the appropriate computational resources to support worker nodes, construct an Amazon EKS cluster.
- To secure your environment, utilize Kubernetes Role Based Access Control (RBAC) authorization with AWS Identity and Access Management (IAM) authentication.
- Install a program on the cluster. Upload container images to Amazon ECR, then use IAM policies to control access.
- Utilize pipelines and automated methods to deploy apps. Use WeaveFlux to construct a GitOps pipeline.
- Utilize AWS X-Ray to gather monitoring data from metrics, logs, and tracing and identify metrics for performance tuning. Examine situations where bottlenecks call for the best horizontal or vertical scaling strategy.
- Analyze the trade-offs between cost, resilience, and efficiency, as well as the effects of prioritizing one over the others.
- Describe and sketch a comprehensive, iterative strategy for improving your surroundings.
- Design for affordability, effectiveness, and resilience
- AWS networking services should be configured to accommodate the cluster.
- Describe the support and ease of inter-node communication provided by Amazon Virtual Private Cloud (VPC) for Amazon EKS clusters.
- Describe the VPC Container Network Interface’s purpose (CNI). Look at the advantages of a service mesh.
- Upgrade Amazon EKS, Kubernetes, and other technologies.
Prerequisites
To qualify for taking up this AWS course, you’ll need the following:
- Completed Introduction to Containers
- 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
Intendend Audience
You can take on this course if you belong to the following category of individuals:
- DevOps engineers
- Systems administrators