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Cloud Native Operations Bootcamp
Duration
5 Days
Course
CN251
Available Formats
Classroom Training, Online Training
Course Description
Overview
Cloud Native Operations Bootcamp is an intensive cloud native training bootcamp for IT professionals looking to develop skills in deploying and administering containerized applications in Kubernetes. Over the course of five days, students will start with learning about first principles for application containerization followed by learning how to stand up a containerized application in Kubernetes, and, finally, ramping up the skills for day-1 operating tasks for managing a Kubernetes production environment. This course is ideal for those who need to accelerate the development of their IT skills for a rapidly-changing technology landscape.
This course is one step in the following Learning Journey:
Objectives
Audience
General technical audiences & IT professionals learning to use and manage containers from first principles & architect basic applications for Kubernetes
Prerequisites
- At least six months experience in cloud infrastructure administration
- Familiarity with the Bash shell: filesystem navigation and manipulation, command line text editors like vim or nano, common tooling like curl, wget and ping
- Familiarity with YAML and JSON notation
Topics
- Usecases
- Comparison to virtual machines
- Container implementation from the Linux kernel
- Container lifecycle details
- Core container creation, auditing and management CLI
- Layered filesystem implementation and performance implications
- Creating images with Dockerfiles
- Optimizing image builds with multi-stage builds and image design best practices
- Docker native networking model
- Software defined networks for containers
- Docker-native single-host service discovery and routing
- Docker volume creation and management
- Best practices and usecases for container-external storage.
- Review the basic architecture of a Kubernetes cluster
- Install a well-validated HA Kubernetes cluster on a collection of hosts
- Load balance kubectl commands across an HA Kubernetes cluster
- Review how pods are scheduled on worker nodes
- Examine the node selector
- Discuss implementing the impact of taints and tolerations for Kubernetes workloads
- Review both pod and node affinity and anti-affinity
- Discuss releasing updates to applications running on the Kubernetes platform
- Explore native tooling for updating application
- Examine how Helm manages updating applications
- Review the architecture required to achieve high availability for applications
- Discuss best practices for using liveness and readiness probes
- Explore Kubernetes auto-scaling of applications
- Discuss how to prioritizing Kubernetes workloads
- Discuss network routing options within Kubernetes
- Discuss the benefits of the Ingress controller and object
- Examine the Ingress object and controller pattern
- Review available storage options for applications
- Discuss constraints of persistent storage in a standard Kubernetes cluster deployment
- Examine the storageClass object
- Discuss RBAC implementation within Kubernetes
- Examine Kubernetes RBAC components
- Review Auditing within Kubernetes
- Determine how to enable Auditing within a Kubernetes cluster
- Review the the Kubernetes Networking Model
- Discuss how Network Security is managed within the Kubernetes cluster
- Examine managing network security with native and non-native Kubernetes tooling
- Explain the native method of creating Network Policies
- Identify security mechanisms available to security between containers, pods, and the Kubernetes cluster
- Discuss strategies for enabling flexibility within security policy while maintaining security compliance
- Examine how to enable Pod Security Policies
- Discuss multi-tenancy in a Kubernetes cluster
- Examine native Kubernetes objects used for enabling multi-tenancy capability
- Discuss multi-tenancy methods for Kubernetes
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Self-Paced Training Info
Learn at your own pace with anytime, anywhere training
- Same in-demand topics as instructor-led public and private classes.
- Standalone learning or supplemental reinforcement.
- e-Learning content varies by course and technology.
- View the Self-Paced version of this outline and what is included in the SPVC course.
- Learn more about e-Learning
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Self-Paced Training Terms & Conditions
ONCE YOU ARE ENROLLED IN THIS COURSE, YOU WILL NOT BE ABLE TO CANCEL YOUR ENROLLMENT. You are billed for the course when you submit the enrollment form. Self-Paced Virtual Classes are non-refundable. Once you purchase a Self-Paced Virtual Class, you will be charged the full price.
- Students will receive an access code within 1-3 business days.
- If purchasing a self-paced course for multiple students, the purchaser will receive the access codes and must distribute them individually to the students.
- Students have access to the course 24/7 and will need to read and follow all instructions carefully to complete the course successfully within their allotted time.
This is a Self-Paced virtual class; it is intended for students who do not need the support of a classroom instructor. If you feel you would better benefit from having access to a Subject Matter Expert, please check to see if an Instructor-Led version is available. Minimal technical support is provided to address issues with accessing the platform or problems within the lab environment.
Mirantis On-Demand courses are available for 1 year and you will have 1 year to consume the content.
After you receive confirmation that you are enrolled, you will receive further communication from Mirantis. Your 1 year access begins once you receive your confirmation from Mirantis.
Lab Requirements:
- Laptop with WiFi connectivity
- Attendees should have the latest Chrome or Firefox installed, and a free account at strigo.io
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Please take a moment to fill out this form. We will get back to you as soon as possible.
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