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DOCKER & KUBERNETES
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4.8 (2097 Ratings)
Earning the Docker Certified Associate (DCA), Certified Kubernetes Administrator (CKA), and Certified Kubernetes Application Developer (CKAD) certifications together demonstrates comprehensive expertise in containerization and Kubernetes technologies. The combination of these certifications demonstrates a high level of competence in containerization and Kubernetes technologies, making individuals equipped to excel in a variety of roles within cloud-native and DevOps projects.
Overview
The Syllabus
Curriculum Designed by Experts
Open Source – Docker & Kubernetes
Docker
Docker – Overview
Docker – Installing Docker on Linux
Docker – Installation
Docker – Hub
Docker – Images
Docker – Images Lifecycle
Docker – Containers
Docker – Containers Lifecycle
Docker – Working With Containers
Docker – Architecture
Docker – Configuring
Docker – Containers & Shells
Docker – File
Docker – Building Files
Building a Web Server Docker File
Docker – Public Repositories
Docker – Managing Ports
Docker – Private Registries
Docker – Instruction Commands
Docker – Container Linking
Docker – Storage
Docker – Networking
Docker – Setting NGINX
Docker – Toolbox
Docker – Logging
Docker – Compose
Docker-Swarm
Docker – Installing Docker on Linux
Docker – Installation
Docker – Hub
Docker – Images
Docker – Images Lifecycle
Docker – Containers
Docker – Containers Lifecycle
Docker – Working With Containers
Docker – Architecture
Docker – Configuring
Docker – Containers & Shells
Docker – File
Docker – Building Files
Building a Web Server Docker File
Docker – Public Repositories
Docker – Managing Ports
Docker – Private Registries
Docker – Instruction Commands
Docker – Container Linking
Docker – Storage
Docker – Networking
Docker – Setting NGINX
Docker – Toolbox
Docker – Logging
Docker – Compose
Docker-Swarm
Kubernetes
Kubernetes – Overview
Kubernetes – Architecture
Kubernetes – Setup
Kubernetes – Images
Kubernetes – Jobs
Kubernetes – Labels & Selectors
Kubernetes – Namespace
Kubernetes – Node
Kubernetes – Service
Kubernetes – Pod
Kubernetes – Replication Controller
Kubernetes – Replica Sets
Kubernetes – Deployments
Kubernetes – Volumes
Kubernetes – Secrets
Kubernetes – Network Policy
Kubernetes – Architecture
Kubernetes – Setup
Kubernetes – Images
Kubernetes – Jobs
Kubernetes – Labels & Selectors
Kubernetes – Namespace
Kubernetes – Node
Kubernetes – Service
Kubernetes – Pod
Kubernetes – Replication Controller
Kubernetes – Replica Sets
Kubernetes – Deployments
Kubernetes – Volumes
Kubernetes – Secrets
Kubernetes – Network Policy
Advanced Kubernetes
Kubernetes – API
Kubernetes – Kubectl
Kubernetes – Kubectl Commands
Kubernetes – Creating an App
Kubernetes – App Deployment
Kubernetes – Autoscaling
Kubernetes – Dashboard Setup
Kubernetes – Monitoring
Kubernetes – API
Kubernetes – Kubectl
Kubernetes – Kubectl Commands
Kubernetes – Creating an App
Kubernetes – App Deployment
Kubernetes – Autoscaling
Kubernetes – Dashboard Setup
Kubernetes – Monitoring
AWS-Docker & Kubernetes
Elastic Container Registry
What Is Amazon Elastic Container Registry?
AWS EC2
AWS CLI Setup
Components of Amazon ECR
Registry
Authorization Token
Repository
Repository Policy
Image
Commands
AWS EC2
AWS CLI Setup
Components of Amazon ECR
Registry
Authorization Token
Repository
Repository Policy
Image
Commands
Elastic Container Service
Docker Container Concepts
An intro to Amazon ECS
Terms and architecture
Task Definition
Task
Service
ECS Container Instances and ECS Container Agents
Cluster
An intro to Amazon ECS
Terms and architecture
Task Definition
Task
Service
ECS Container Instances and ECS Container Agents
Cluster
Elastic Kubernetes Service
Overview: Installing Kubernetes
Installing Dependencies
Installing the Latest Kubernetes
Exploring Your Kubernetes Installation
Kubernetes Architecture and Design
Achieving High-Availability
Scaling Kubernetes
Federation
Configuration Best Practices
Creating and Decoding Secrets
Using Secrets in Applications
Overview: Docker Containerization
Installing Docker and Building the Image
Deploying Your Docker Container
Interacting With Your Container
Hands-on Kubernetes on AWS
Installing Dependencies
Installing the Latest Kubernetes
Exploring Your Kubernetes Installation
Kubernetes Architecture and Design
Achieving High-Availability
Scaling Kubernetes
Federation
Configuration Best Practices
Creating and Decoding Secrets
Using Secrets in Applications
Overview: Docker Containerization
Installing Docker and Building the Image
Deploying Your Docker Container
Interacting With Your Container
Hands-on Kubernetes on AWS
Azure-Docker & Kubernetes
Azure container registry
Docker Container Concepts
Deploying Containers
Multi-container Applications
Azure Container Registry
Azure Container Clustering Options
Installing ACS
Deploying Containers
Multi-container Applications
Azure Container Registry
Azure Container Clustering Options
Installing ACS
Azure Container Service
Introduction to Azure Container Service
Azure Container Instances
Creating your first container in Azure
Azure Marketplace containers
Container orchestration
Azure Container Instances
Creating your first container in Azure
Azure Marketplace containers
Container orchestration
Azure Kubernets Services
What is AKS?
Kubernetes core concepts for AKS
Install the Kubernetes CLI
Baseline architecture for an AKS cluster
Clusters and workloads
Access and identity
Security
Networking
Storage
Deploy an Azure Kubernetes Service (AKS) cluster
Create a Kubernetes cluster
Connect to cluster using kubectl
Deploy the application
Scale applications
Update an application
Upgrade Kubernetes
Kubernetes core concepts for AKS
Install the Kubernetes CLI
Baseline architecture for an AKS cluster
Clusters and workloads
Access and identity
Security
Networking
Storage
Deploy an Azure Kubernetes Service (AKS) cluster
Create a Kubernetes cluster
Connect to cluster using kubectl
Deploy the application
Scale applications
Update an application
Upgrade Kubernetes
GCP-Docker & Kubernetes
Google Container Registry
Overview
Create Account
Compute Engine
Permissions
Running an image
Commands
Create Account
Compute Engine
Permissions
Running an image
Commands
Google Container Services
Containers on Compute Engine
Container technologies that run on Compute Engin
Container-optimized VM images
Installing container technologies on your instances
Install Docker
Permissions
Container technologies that run on Compute Engin
Container-optimized VM images
Installing container technologies on your instances
Install Docker
Permissions
Google Kubernets Services
Understanding the GKE Service Profiles
Benefits of Using GKE
Costing Model Used in GKE
Using the GCP Calculator
GKE Architecture
Deploying an Application
Kubernetes Components
Basic Commands
GKE Architecture
GKE and IAM Requirements
GKE Federation Requirements
Kubernetes Cluster Actions
Scale/Resize a Cluster
Benefits of Using GKE
Costing Model Used in GKE
Using the GCP Calculator
GKE Architecture
Deploying an Application
Kubernetes Components
Basic Commands
GKE Architecture
GKE and IAM Requirements
GKE Federation Requirements
Kubernetes Cluster Actions
Scale/Resize a Cluster
DCA - Domain 1: Orchestration (25% of exam)
Content may include the following:
- Complete the setup of a swarm mode cluster, with managers and worker nodes
- State the differences between running a container vs running a service
- Demonstrate steps to lock a swarm cluster
- Extend the instructions to run individual containers into running services under swarm
- Interpret the output of “docker inspect” commands
- Convert an application deployment into a stack file using a YAML compose file with
- “docker stack deploy”
- Manipulate a running stack of services
- Increase # of replicas
- Add networks, publish ports
- Mount volumes
- Illustrate running a replicated vs global service
- Identify the steps needed to troubleshoot a service not deploying
- Apply node labels to demonstrate placement of tasks
- Sketch how a Dockerized application communicates with legacy systems
- Paraphrase the importance of quorum in a swarm cluster
- Demonstrate the usage of templates with “docker service create”
DCA - Domain 2: Image Creation, Management, and Registry (20% of exam)
Content may include the following:
● Describe Dockerfile options [add, copy, volumes, expose, entrypoint, etc)
● Show the main parts of a Dockerfile
● Give examples on how to create an efficient image via a Dockerfile
● Use CLI commands such as list, delete, prune, rmi, etc to manage images
● Inspect images and report specific attributes using filter and format
● Demonstrate tagging an image
● Utilize a registry to store an image
● Display layers of a Docker image
● Apply a file to create a Docker image
● Modify an image to a single layer
● Describe how image layers work
● Deploy a registry (not architect)
● Configure a registry
● Log into a registry
● Utilize search in a registry
● Tag an image
● Push an image to a registry
● Sign an image in a registry
● Pull an image from a registry
● Describe how image deletion works
● Delete an image from a registry
DCA - Domain 3: Installation and Configuration (15% of exam)
Content may include the following:
- Demonstrate the ability to upgrade the Docker engine
- Complete setup of repo, select a storage driver, and complete installation of Docker
- engine on multiple platforms
- Configure logging drivers (splunk, journald, etc)
- Setup swarm, configure managers, add nodes, and setup backup schedule
- Create and manager user and teams
- Interpret errors to troubleshoot installation issues without assistance
- Outline the sizing requirements prior to installation
- Understand namespaces, cgroups, and configuration of certificates
- Use certificate-based client-server authentication to ensure a Docker daemon has the
- rights to access images on a registry
- Consistently repeat steps to deploy Docker engine, UCP, and DTR on AWS and on
- premises in an HA config
- Complete configuration of backups for UCP and DTR
- Configure the Docker daemon to start on boot
DCA - Domain 4: Networking (15% of exam)
Content may include the following:
- Create a Docker bridge network for a developer to use for their containers
- Troubleshoot container and engine logs to understand a connectivity issue between
- containers
- Publish a port so that an application is accessible externally
- Identify which IP and port a container is externally accessible on
- Describe the different types and use cases for the built-in network drivers
- Understand the Container Network Model and how it interfaces with the Docker engine
- and network and IPAM drivers
- Configure Docker to use external DNS
- Use Docker to load balance HTTP/HTTPs traffic to an application (Configure L7 load
- balancing with Docker EE)
- Understand and describe the types of traffic that flow between the Docker engine,
- registry, and UCP controllers
- Deploy a service on a Docker overlay network
- Describe the difference between “host” and “ingress” port publishing mode
DCA - Domain 5: Security (15% of exam)
Content may include the following:
- Describe the process of signing an image
- Demonstrate that an image passes a security scan
- Enable Docker Content Trust
- Configure RBAC in UCP
- Integrate UCP with LDAP/AD
- Demonstrate creation of UCP client bundles
- Describe default engine security
- Describe swarm default security
- Describe MTLS
- Identity roles
- Describe the difference between UCP workers and managers
- Describe process to use external certificates with UCP an
d DTR
DCA - Domain 6: Storage and Volumes (10% of exam)
Content may include the following:
- State which graph driver should be used on which OS
- Demonstrate how to configure devicemapper
- Compare object storage to block storage, and explain which one is preferable when available
- Summarize how an application is composed of layers and where those layers reside on
- the filesystem
- Describe how volumes are used with Docker for persistent storage
- Identify the steps you would take to clean up unused images on a filesystem, also on
- DTR
- Demonstrate how storage can be used across cluster nodes
Certified Kubernetes Administrator (CKA) Exam Curriculum 1.13.0
5%-Scheduling
- Use label selectors to schedule Pods.
- Understand the role of Daemon Sets.
- Understand how resource limits can affect Pod scheduling.
- Understand how to run multiple schedulers and how to configure Pods
to use them. - Manually schedule a pod without a scheduler.
- Display scheduler events.
- Know how to configure the Kubernetes scheduler.
5%-Logging/Monitoring
- Understand how to monitor all cluster components.
- Understand how to monitor applications.
- Manage cluster component logs.
- Manage application logs.
8%-Application Lifecycle Management
- Understand Deployment sand how to perform rolling updates and rollbacks.
- Know various ways to configure applications.
- Know how to scale applications.
- Understand the primitives necessary to create a self-healing application.
11%-Cluster - Understand Kubernetes cluster upgrade process.
- Facilitate operating system upgrades.
- Implement backup and restore methodologies.
12%-Security
- Know how to configure authentication and authorization.
- Understand Kubernetes security primitives.
- Know to configure network policies.
- Create and manage TLS certificates for cluster components.
- Work with images securely.
- Define security contexts.
- Secure persistent keyvalue store.
7%-Storage
- Understand persistent volumes and know how to create them.
- Understand access modes for volumes.
- Understand persistent volume claims primitive.
- Understand Kubernetes storage objects.
- Know how to configure applications with persistent storage.
10%-Troubleshooting
- Trouble shoot application failure.
- Trouble shoot control plane failure.
- Trouble shoot worker node failure.
- Trouble shoot networking.
19%-Core Concepts
- Understand the Kubernetes API primitives.
- Understand the Kubernetes cluster architecture.
- Understand Services and other network primitives.
11%-Networking
- Understand the networking configuration on the cluster nodes.
- Understand Pod networking concepts.
- Understand Service networking.
- Deploy and configure network loadbalancer.
- Know how to use Ingress rules.
- Know how to configure and use the cluster DNS.
- Understand CNI.
12%-Installation,Configuration &Validation
- Design a Kubernetes cluster.
- Install Kubernetes masters and nodes.
- Configure secure cluster communications.
- Configure a Highly-Available Kubernetes cluster.
- Know where to get the Kubernetes release binaries.
- Provision underlying infrastructure to deploy a Kubernetes cluster.
- Choose a network solution.
- Choose your Kubernetes infrastructure configuration.
- Run end-to-end tests on your cluster.
- Analyse end-to-end tests results.
- Run Node end-to-end tests.
CKAD
Certified Kubernetes Application Developer(CKAD) ExamCurriculum v1.13.0
This document provides the curriculum outline of the Knowledge,Skills and Abilities that
a Certified Kubernetes Application Developer (CKAD) can be expected to demonstrate.
13%-Core Concepts
- Understand Kubernetes API primitives
- Create and configure basic Pods
18%-Configuration
- Understand Config Maps
- Understand Security Contexts
- Define an application’s resource requirements
- Create & consume Secrets
- Understand Service Accounts
10% Multi-Container Pods
- Understand Multi-Container Pod design patterns (e.g.ambassador,adapter,sidecar)
18%-Observability
- Understand Liveness Probesand
Readiness Probes - Understand container logging
- Understand how to monitor applications in Kubernetes
- Understand debugging in Kubernetes
20%-PodDesign
- Understand how to use Labels, Selectors, and Annotations
- Understand Deployments and how to perform rolling updates
- Understand Deployments and how to perform rollbacks
- Understand Jobs and CronJobs
13%-Services&Networking
- Understand Services
- Demonstrate basic understanding of Network Policies
8%-State Persistence
- Understand Persistent Volume Claims for storage
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Why Enroll for Docker and Kubernetes ?
Career Opportunities
Docker and Kubernetes skills are in high demand in the job market. Enrolling in a Docker and Kubernetes course can enhance your career prospects and open up opportunities in roles such as DevOps Engineer, Site Reliability Engineer, Cloud Engineer, and Containerization Specialist.
DevOps Practices
Docker and Kubernetes are key components of modern DevOps practices. Enabling developers to build, test, and deploy applications using containers accelerates the software development lifecycle and promotes collaboration between development and operations teams.
Scalability and Orchestration
Kubernetes is the de facto standard for container orchestration, providing automated scaling, deployment, and management of containerized applications. By learning Kubernetes, you can efficiently manage and scale your containerized workloads, ensuring high availability and reliability.
Hands-On Experience
A Docker and Kubernetes course typically includes hands-on labs and projects that allow you to gain practical experience in using these technologies. By working on real-world scenarios and use cases, you can build confidence and proficiency in Docker and Kubernetes concepts and practices.
Cloud-Native Development
Docker and Kubernetes are foundational technologies for cloud-native development. They enable organizations to build and deploy cloud-native applications that are resilient, scalable, and optimized for the cloud environment.
Containerization Revolution
Docker and Kubernetes have revolutionized the way applications are built, shipped, and deployed. Understanding these technologies is essential for staying competitive in the rapidly evolving field of software development and deployment.
Course benefits
Who Can Apply for Red Hat Linux
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- Anyone who wants to learn machine learning, artificial intelligence, data visualization, data analytics, data structures, and algorithms (DSA).
Why Docker and Kubernetes ?
Containerization
Docker enables developers to package applications and their dependencies into lightweight, portable containers. Containers encapsulate everything needed to run an application, including code, runtime, libraries, and dependencies, ensuring consistency and reproducibility across different environments.
Microservices Architecture
Kubernetes provides orchestration and management capabilities for containerized applications, allowing developers to deploy, scale, and manage microservices-based architectures with ease. Kubernetes automates tasks such as load balancing, service discovery, and health checks, enabling resilient and scalable microservices deployments.
DevOps Practices
Docker and Kubernetes promote DevOps practices by enabling continuous integration, continuous delivery (CI/CD), and infrastructure as code (IaC). Developers can use Docker to build, test, and package applications in containers, while operators can use Kubernetes to automate deployment, scaling, and management tasks.
Scalability and Resilience
Kubernetes automates the scaling and distribution of containerized workloads based on resource usage, traffic patterns, and application demand. Kubernetes ensures high availability and resilience by automatically restarting failed containers, balancing load across nodes, and managing rolling updates without downtime.
Efficiency and Portability
Containers offer a more efficient and lightweight alternative to traditional virtual machines, reducing overhead and resource consumption. Docker containers can run on any infrastructure that supports Docker, providing portability and flexibility across development, testing, and production environments.
Ecosystem and Community
Docker and Kubernetes have vibrant ecosystems and communities of users, contributors, and ecosystem partners. This ecosystem provides access to a rich library of container images, plugins, integrations, and best practices, accelerating development and enabling collaboration across the industry.
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Infrastructure Provisioning
And Configuration Management
Implementing automated infrastructure provisioning and configuration management using Ansible. This may include setting up servers, networking devices, and other infrastructure components using playbooks and roles.
Applications Deployment
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Automating the deployment and orchestration of applications across development, testing, and production environments. This could involve deploying web servers, databases. middleware, and other application components using Ansible
Continuous Integration
And Continuous Deployment
Integrating Ansible into CI/CD pipelines to automate software. build, test, and deployment processes. This may include automating the creation of build artifacts, running tests, and deploying applications to various environments.
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Docker and Kubernetes FAQs
What is Docker and Kubernetes Certification?
Docker and Kubernetes Certification is a professional credential that validates your knowledge and skills in using Docker for containerization and Kubernetes for container orchestration. It demonstrates your ability to deploy, manage, and troubleshoot containerized applications efficiently.
Who should pursue Docker and Kubernetes Certification?
Docker and Kubernetes Certification is ideal for IT professionals, developers, system administrators, DevOps engineers, and anyone involved in the deployment and management of containerized applications. It’s especially beneficial for those looking to advance their careers in cloud computing and DevOps.
What are the prerequisites for Docker and Kubernetes Certification?
While there are no strict prerequisites, a basic understanding of Linux, networking, and cloud computing is recommended. Familiarity with containers and some experience in software development or system administration can also be helpful.
What topics are covered in the Docker and Kubernetes Certification Course?
The Docker and Kubernetes Certification Course typically covers Docker basics, containerization concepts, Docker images, Docker Compose, Kubernetes architecture, pod management, services, networking, and advanced topics like persistent storage and security.
How long does it take to complete the Docker and Kubernetes Certification Course?
The duration of the course can vary, but it typically takes 4 to 8 weeks to complete, depending on the mode of study (full-time, part-time, or self-paced online learning).
What is the format of the Docker and Kubernetes Certification exam?
The certification exam usually includes multiple-choice questions, practical tasks, and scenarios that test your ability to deploy and manage containerized applications using Docker and Kubernetes. It assesses both theoretical knowledge and practical skills.
Can I take the Docker and Kubernetes Certification Course online?
Yes, many institutes, including Radical Technologies, offer the Docker and Kubernetes Certification Course online. This allows you to learn at your own pace and convenience while still gaining the necessary skills and knowledge.
What are the benefits of getting Docker and Kubernetes Certification?
Obtaining Docker and Kubernetes Certification can significantly enhance your job prospects, increase your earning potential, and validate your expertise in containerization and orchestration. It is highly regarded by employers in the tech industry.
What is the difference between Docker and Kubernetes?
Docker is a platform that enables the creation, deployment, and management of containers, which are lightweight, portable environments for running applications. Kubernetes, on the other hand, is an orchestration platform that automates the deployment, scaling, and management of containerized applications across clusters of servers.
Is prior experience with Docker or Kubernetes required for the certification?
Prior experience is not mandatory but highly recommended. Understanding the basics of Docker and Kubernetes will help you grasp the course content more quickly and prepare you better for the certification exam.
How does Docker and Kubernetes Certification impact my career?
Docker and Kubernetes Certification can open doors to new job opportunities in cloud computing, DevOps, and IT management. It demonstrates your ability to work with modern container technologies, making you a valuable asset to employers.
What is the cost of the Docker and Kubernetes Certification Course?
The cost of the course varies depending on the institute and the mode of study (online or in-person). It typically ranges from $500 to $2000, which may include the exam fee.
Can I retake the Docker and Kubernetes Certification exam if I don’t pass?
Yes, most certification providers allow you to retake the exam if you do not pass on your first attempt. There may be a waiting period and an additional exam fee for retakes.
How do I prepare for the Docker and Kubernetes Certification exam?
Preparation typically involves completing the certification course, practicing with hands-on labs, and reviewing the official study materials. Taking practice exams and joining study groups can also be helpful.
Where can I find Docker and Kubernetes Training in Bangalore?
Radical Technologies in Bangalore is a leading institute that offers comprehensive Docker and Kubernetes Training. They provide both classroom and online courses, ensuring flexible learning options for students and professionals.
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Most Probable Interview Questions Asked for Docker and Kubernetes
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About Docker and Kubernetes Certification
In today’s fast-paced digital landscape, containerization and orchestration have become essential skills for IT professionals. Docker and Kubernetes, two of the most powerful tools in this domain, are revolutionizing the way applications are developed, deployed, and managed. A Docker and Kubernetes Certification equips you with the knowledge and skills to harness these technologies effectively, making you a sought-after expert in the industry.
What is Docker?
Docker is an open-source platform that enables developers to automate the deployment of applications inside lightweight, portable containers. Containers package an application and its dependencies together, ensuring consistency across multiple environments, from development to production. With Docker, you can build, ship, and run applications anywhere, reducing the time and effort required to manage software.
What is Kubernetes?
Kubernetes, often abbreviated as K8s, is an open-source container orchestration platform that automates the deployment, scaling, and management of containerized applications. Developed by Google, Kubernetes has become the de facto standard for managing complex, large-scale containerized environments. It allows you to ensure that your applications run smoothly, regardless of the underlying infrastructure.
Why Pursue Docker and Kubernetes Certification?
- Industry Relevance: Docker and Kubernetes are integral to modern DevOps practices. Certification validates your expertise, making you a valuable asset to any organization adopting these technologies.
- Career Advancement: Certified professionals often command higher salaries and have better job prospects. Certification demonstrates your commitment to staying current with the latest industry trends.
- Comprehensive Skillset: The certification covers a wide range of topics, from basic containerization concepts to advanced orchestration techniques. You’ll learn how to design, deploy, and manage containerized applications at scale.
- Hands-On Experience: Certification programs often include practical labs and real-world scenarios, allowing you to apply what you’ve learned in a controlled environment.
- Global Recognition: Docker and Kubernetes certifications are recognized worldwide, enhancing your credibility and opening up opportunities in diverse job markets.
Key Components of the Certification
- Docker Fundamentals: Learn the core concepts of Docker, including image creation, container management, networking, and storage. You’ll also explore Docker Compose for multi-container applications and Docker Swarm for simple orchestration.
- Kubernetes Architecture: Understand the architecture of Kubernetes, including its components like nodes, pods, services, and controllers. You’ll gain insights into how Kubernetes orchestrates containers across a cluster.
- Container Orchestration: Dive into advanced Kubernetes features such as deployments, replica sets, stateful sets, and DaemonSets. You’ll learn how to manage application scaling, updates, and rollbacks seamlessly.
- Networking and Storage: Explore Kubernetes networking models and storage solutions. You’ll learn about services, Ingress controllers, Persistent Volumes, and Persistent Volume Claims.
- Security and Monitoring: Discover best practices for securing your Docker and Kubernetes environments. Topics include image scanning, role-based access control (RBAC), and monitoring with tools like Prometheus and Grafana.
- CI/CD Integration: Learn how to integrate Docker and Kubernetes with continuous integration and continuous deployment (CI/CD) pipelines. You’ll understand how to automate the build, test, and deployment processes for your applications.
- Troubleshooting and Optimization: Develop skills to diagnose and resolve issues in Docker and Kubernetes environments. You’ll also learn optimization techniques to improve the performance and reliability of your containerized applications.
Who Should Enroll?
- DevOps Engineers: Enhance your skillset by mastering containerization and orchestration, key components of modern DevOps practices.
- Software Developers: Learn how to package and deploy your applications consistently across different environments.
- System Administrators: Gain expertise in managing and scaling containerized applications in production environments.
- IT Professionals: Stay ahead of the curve by acquiring in-demand skills that are critical for cloud-native application development.
Certification Path and Exam Details
The Docker and Kubernetes Certification typically involves a series of courses followed by an exam. The exam tests your knowledge and practical skills, ensuring you’re well-prepared to handle real-world scenarios. Topics covered in the exam may include:
- Docker installation and configuration
- Container creation, management, and orchestration
- Kubernetes architecture and components
- Deployment and scaling of applications in Kubernetes
- Networking and storage in Kubernetes
- Security best practices
Applications of Docker and Kubernetes
Docker and Kubernetes have become essential tools in modern software development and IT operations, offering significant benefits in various applications. Below are some of the key areas where Docker and Kubernetes are widely applied:
1. Microservices Architecture
- Docker: Docker plays a crucial role in the development and deployment of microservices. By containerizing individual services, developers can ensure that each microservice is isolated with its dependencies, which simplifies scaling and maintenance.
- Kubernetes: Kubernetes excels at managing the complex architecture of microservices by orchestrating containers across multiple nodes. It handles load balancing, scaling, and service discovery, making it easier to manage the lifecycle of microservices at scale.
2. Continuous Integration and Continuous Deployment (CI/CD)
- Docker: Docker streamlines the CI/CD pipeline by providing consistent environments for development, testing, and production. This ensures that applications behave the same way across different stages of the pipeline, reducing the risk of deployment failures.
- Kubernetes: Kubernetes automates the deployment of containerized applications, integrating seamlessly with CI/CD tools like Jenkins, GitLab CI, and CircleCI. It supports rolling updates, blue-green deployments, and canary releases, making it easier to deploy changes with minimal downtime.
3. Cloud-Native Application Development
- Docker: Docker is fundamental to building cloud-native applications, as it allows developers to package applications into containers that can run on any cloud platform. This portability enables a consistent deployment experience across different cloud environments.
- Kubernetes: Kubernetes provides the infrastructure needed to run cloud-native applications at scale. It abstracts the underlying hardware and manages the distribution of workloads, ensuring high availability and efficient use of resources across public, private, or hybrid cloud environments.
4. DevOps and Infrastructure as Code (IaC)
- Docker: Docker supports DevOps practices by enabling Infrastructure as Code (IaC), where infrastructure is provisioned and managed through code. Dockerfiles, for instance, define the environment for applications, making it easier to version and replicate the infrastructure.
- Kubernetes: Kubernetes enhances IaC by providing declarative configuration files (YAML or JSON) that describe the desired state of the system. This allows for automation of infrastructure management, making it possible to scale and adapt infrastructure as needed with minimal manual intervention.
5. Big Data and Machine Learning
- Docker: Docker is used to package and distribute big data processing tools and machine learning models, ensuring that the environment is consistent across different stages of data processing and model training. This helps in reproducibility and scalability of data pipelines.
- Kubernetes: Kubernetes is often employed to orchestrate large-scale data processing jobs and machine learning workloads. It can manage distributed computing frameworks like Apache Spark, TensorFlow, and other data-intensive applications, ensuring efficient use of computational resources.
6. High-Availability Applications
- Docker: Docker supports the deployment of high-availability applications by enabling rapid recovery from failures. Containers can be restarted or replaced quickly in the event of a failure, minimizing downtime.
- Kubernetes: Kubernetes provides robust mechanisms for maintaining high availability, such as automated failover, self-healing, and load balancing. It monitors the health of containers and automatically reschedules them if any issues arise, ensuring that services remain available and responsive.
7. Hybrid and Multi-Cloud Deployments
- Docker: Docker containers are portable and can run on any infrastructure, making them ideal for hybrid and multi-cloud deployments. This allows organizations to avoid vendor lock-in and use the best-suited cloud services for different parts of their applications.
- Kubernetes: Kubernetes facilitates hybrid and multi-cloud strategies by managing workloads across different cloud environments. It can coordinate deployments across on-premises data centers and multiple cloud providers, ensuring that applications can scale globally with consistent performance.
8. Development Environments
- Docker: Docker simplifies the setup of development environments by allowing developers to run isolated containers that mirror production environments. This ensures that code behaves consistently across all stages of development, testing, and deployment.
- Kubernetes: Kubernetes can manage multiple development environments in parallel, enabling teams to work on different features or versions of an application simultaneously. It also supports shared environments for testing and collaboration, streamlining the development process.
Docker and Kubernetes Course Certification with Training in Bangalore
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At Radical Technologies, we pride ourselves on delivering hands-on, practical knowledge through our Docker and Kubernetes Classroom Training. Our instructors are industry experts who bring real-world experience to the classroom, ensuring that our students receive the most relevant and up-to-date education. Whether you’re new to containerization or looking to enhance your existing skills, our Kubernetes Training in Bangalore is tailored to meet your needs.
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Our Docker With Kubernetes Training is recognized as the best Kubernetes Course in Bangalore, offering a comprehensive curriculum that covers everything from basic to advanced topics. Students who complete our Docker Kubernetes Course In Bangalore are well-prepared to tackle real-world challenges and achieve the Kubernetes Docker Certification.
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