Kubernetes on AWS: Step-By-Step Tutorial for Deployment
Kubernetes is a one of the top cloud platform technology and offers some of the best solution over other cloud platforms. Major cloud infrastructure providers, such as AWS, Azure, and Google, offer hosted versions of Kubernetes. If you’re a software architect or a software engineer who wants to build and manage container-based applications on AWS with the powerful orchestration tool Kubernetes, then go for this Learning Path.
This comprehensive 2-in-1 course is a perfect mix of concepts and practice that will help you to build, manage, and deploy container-based applications on AWS using Kubernetes. You will you learn how to use Kubernetes pods, services, replication controllers, and labels to manage your clusters effectively and will get a feel for how to handle networking with Kubernetes. You will also learn how to install and deploy Kubernetes on several cloud platforms.
This training program includes 2 complete courses, carefully chosen to give you the most comprehensive training possible.
The first course, Learning Kubernetes, teaches you how to extend the opportunities that containerization innovations have brought about in a new and even more effective way. You will then get started with the basics, explore the fundamental elements of Kubernetes, and find out how to install it on your system, before digging a little deeper into Kubernetes core constructs. Finally, you will learn how to use Kubernetes pods, services, replication controllers, and labels to manage your clusters effectively and also get a feel for how to handle networking with Kubernetes.
In the second course, Hands-on Kubernetes on AWS, you will jump into Kubernetes architecture, and grasp what the main components and services are, and how they come together to build a production-class container infrastructure. Next, you will learn how to install and deploy Kubernetes on several cloud platforms. Finally, you will explore more advanced topics on Kubernetes, including continuous integration, high availability, and disaster recovery using Kubernetes.
By the end of this Learning Path, you’ll have gained plenty of hands-on experience with Kubernetes on Amazon Web Services. You’ll also have picked up some tips on deploying and managing applications, keeping your cluster and applications secure, and ensuring that your whole system is reliable and resilient to failure.
Meet Your Expert(s):
We have the best work of the following esteemed author(s) to ensure that your learning journey is smooth:
● Braithe E.S. Warnock is currently a managing cloud architect for the financial services division of Ernst & Young. He had the opportunity to work with several of the largest PCF installations on an international scale. He helped build the framework for the adoption of PCF at top companies such as Ford, Comcast, DISH, HSBC, and Charles Schwab. As a vendor-neutral consultant, he enjoys helping people understand the rapidly-evolving world of cloud and application architecture. He has more than six years of experience and specialization in global digital transformations. He has expertise in various cloud and cloud platform technologies (PCF, AWS, Azure, VMware, Netflix OSS, Kubernetes, and OpenShift) and also the Java and Spring Boot frameworks. He has developed over 100 microservices using Spring Boot, Java 7/8, Spring Cloud, and Netflix OSS, spanning half a dozen unique cloud-native microservice architectures.
● Alan Rodrigues has been working on software components such as Docker containers and Kubernetes for the last 2 years. He has extensive experience working on the AWS platform, currently being certified as an AWS Solution Architect Associate, a SysOps Administrator and a Developer Associate. He has seen organizations moving towards using containers as part of their microservices architecture. And there is a strong need to have a container orchestration tool in place. Kubernetes is by far the most popular container orchestration being adopted. He also has experience in developing machine learning models using AWS, Spark, and MLlib to support product recommendations and enhance customer data.
This video provides an overview of the entire course.
This video aims to provide a high-level overview of installing a kubernetes.
- Learn to install Kubernetes
- Install Kubernetes (Minikube)
- Explore Kubernetes
In this video, we will learn to setup our environment before installing Kubernetes.
- Understand what Kubernetes requires
- Install dependencies
- Confirm whether the environment is correct
In this video, we will install a local Kubernetes cluster.
- Explore the installation process
- Install Kubernetes
- Confirm if the cluster is available
In this video, we will explore our Kubernetes installation.
- Learn to interact with Kubernetes
- Learn some kubectl commands
- Confirm if kubectl is working
In this video, we will understand Kubernetes core concepts before diving into advanced concepts.
- Understand how kubernetes works
- Explore core kubernetes components
- Learn the kubernetes logical architecture
This video aims to explain that we want our cluster to be highly available to reduce downtime and we need a deployment pattern.
- Learn target state architecture
- Understand how to achieve service and data redundancy
- Learn to leverage federation
In this video, we will learn of some upper-limits or size limitations of kubernetes.
- Explore Kubernetes limitations
- Learn scaling an app
- Understand scaling an app across clusters
This video aims to explain that we need to manage multiple clusters using federation.
- Learn to sync resources across a cluster
- Understand cross cluster discovery
- Explore high availability
In this video, we will understand best practices for configuring Kubernetes.
- Learn the configuration files
- Learn about labels
- Explore leveraging version control
In this video, we will understand how to mount volumes containing secrets to apps.
- Use secrets in the app
- Learn to attach secrets to a volume
- Learn to attach secrets to an app
This video aims to explain what is a container engine, container build tool, and container registry.
- Build container image
- Register container image
- Run container image
In this video, we will learn to install docker, to build and test run our docker image.
- Install docker
- Explore docker commands
- Explore docker config file
In this video, we will install our container image to kubernetes.
- Deploy our container to a pod
- Explore deployment methods
- Explore deployment commands
In this video, we will test whether our application is running successfully in Kubernetes.
- Monitor our running app
- View health of the app
- Learn to send test request to our running app
Hands-on Kubernetes on AWS
This video will give you an overview about the course.
The aim of this video is to developing Microservices based applications.
- Look at using containers
- Look at isolation of components
- Look at integration of various components
This video will look into working with various images.
- Understand about the images for web containers
- Discuss about images for database containers
- Learn about the images for OS based containers
This video will discuss on the types of web containers and how to create them.
- Use an in-built container from DockerHub
- Create a custom image using Dockerfile
- List the deployment options for the custom image
This video will discuss on the types of database containers and various networking options.
- Use an in-built container from DockerHub
- Create a custom image using Dockerfile
- Create a custom network if required
The aim of this video is to discuss the types of volumes and storage for images.
- Decide on volumes
- Decide on bind mounts
- Discuss where to store your custom images
This video will take you through how do deploy Kubernetes.
- Use manual installation
- Use custom tools for on-premise deployment
- Use custom tools for cloud based deployment
The aim of this video is to discuss different components of the Kubernetes cluster.
- Discuss about kubeadmn for building the cluster
- Understand about Kubectl for working with cluster
- Look into details of Kops for working with the cluster
This video will help us decide on the various available deployment options.
- Decide whether the replicas are required
- Discuss on how many containers per pod
- Ensure images are present in Dockerhub
The aim of this video is to expose your deployment.
- Discuss whether the deployment need to be accessed
- Monitor requirements for the cluster
- Test, stage, or deploy the environment
The aim of this video is to use AWS for Kubernetes.
- Maintain an S3 bucket
- Decide on number of master’s required for the cluster
- Decide on number of nodes required for the cluster
The aim of this video is to understand different aspects when deploying an application.
- Discuss the images for the containers
- Look at the number of replicas required
- Look at the number of nodes required
The aim of this video is to discuss the requirement for load balancing.
- Expose the deployment
- Access the load balancer
- Use Route53 for DNS to load balancer
This video discusses on more number of nodes required for clustering.
- Decide on number of master’s required
- Decide on number of node’s required
- Decide on image
This video explains the need to see the performance of your infrastructure.
- Use the local dashboard
- Monitor the pods
- Monitor the nodes
If you need more information for your clusters, this video will help you.
- Use local logs
- Use custom tools
- Use AWS Tools
The aim of this video is to teach about hosting docker containers.
- Discuss about managed service
- Use AWS Cloud
- Use Elastic Container Service
This video will teach you how to work with Clusters.
- Decide on tasks
- Decide on task definitions
- Decide on Services
The aim of this video is to learn about custom requirement for instances.
- Choose the AMI
- Create your own user data scripts
- Install the container agent
The aim of this video is to look at the tasks for clusters.
- Decide on task definition
- Create the task definition
- List the number of tasks
The aim of this video is to understand the need to compose services.
- Look at the multiple tasks to create a service
- Expose the service
- Manage the service
The aim of this video is to add load balancing capabilities.
- Choose the type of load balancer
- Add Load balancer
- Manage the load balancer
The aim of this video is to add autoscaling capabilities to EC2 cluster.
- Add more task instances
- Add Autoscaling
- Add more container instances
The aim of this video is to understand the utilization of resources.
- Monitor the cluster
- Use Cloudwatch
- Monitor tasks
The aim of this video is to look into continuous integration with containers.
- Update the app code
- Update the container
- Kubernetes to pull the container
This video aim at considering high availability on AWS.
- Use Autoscaling
- Use Elastic Load Balancer
- Use multiple pods
This video aim at considering disaster recovery on AWS.
- Use Route53
- Create Secondary clusters
- Use Cloudformation