Radical Technologies

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Course Benefits

A huge library ecosystem. Python offers a vast choice of libraries for AI development, which contain base-level items that save coding time. High readability. The flexibility of the language. Abundant community support. Excellent visualization options.

Designations

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WhyTerraform ?

Multi-Cloud Support

Terraform supports multiple cloud providers, including AWS, Azure, Google Cloud Platform (GCP), and others. This allows you to use a single tool and consistent workflow across different cloud environments, enabling hybrid and multi-cloud deployments.

Declarative Configuration

Terraform uses a declarative language to define infrastructure configurations. This means you specify the desired state of your infrastructure, and Terraform handles the provisioning and management to achieve that state. This approach is intuitive and allows for easier understanding and maintenance of infrastructure code.

Resource Graph

Terraform builds a dependency graph of your infrastructure resources based on their relationships and dependencies. This enables Terraform to determine the correct order of resource provisioning and manage complex infrastructures with ease.

Modularity and Reusability

Terraform encourages modularization and code reuse through the use of modules. Modules are self-contained units of Terraform configurations that can be reused across projects, teams, and environments. This promotes consistency, reduces duplication, and speeds up development.

State Management

Terraform maintains a state file that tracks the current state of your infrastructure. This state file is used to plan and apply changes, track resource attributes, and manage updates. Terraform's state management ensures consistency and facilitates collaboration among team members.

Plan and Apply Workflow

Terraform follows a plan and apply workflow, where changes to infrastructure are first planned and previewed before being applied. This allows you to review the proposed changes, identify potential issues, and apply changes safely, minimizing the risk of unintended consequences.

Extensibility

Terraform is highly extensible and integrates with a wide range of third-party tools and services. This includes integrations with configuration management tools, CI/CD pipelines, monitoring solutions, and more, allowing you to build comprehensive infrastructure automation workflows. While other IaC tools offer similar capabilities, Terraform's multi-cloud support, declarative configuration, resource graph, modularity, state management, workflow, and extensibility make it a popular choice for infrastructure automation in diverse environments. Additionally, Terraform's active community, robust documentation, and frequent updates contribute to its widespread adoption and continued development.

About your Terraform Certification Course

Terraform Skills Covered

  • State Management

  • Terraform Modules

  • Dependency Management

  • Terraform CLI

  • Terraform Configuration Language (HCL)

  • Infrastructure as Code (IaC) Principles

  • Resource Provisioning

  • Terraform Providers

  • Terraform Workspaces

  • Terraform Best Practices

Curriculum Designed by Experts

COMPLETE CLOUD DOCKER & KUBERNETES Course Syllabus

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

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

Advanced Kubernetes
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

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

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

Azure-Docker & Kubernetes

Azure container registry
Docker Container Concepts
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 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

GCP-Docker & Kubernetes

Google Container Registry
Overview
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

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

DCA

Domain 1: Orchestration (25% of exam)

  • 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”

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

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

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

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 and DTR

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
CKA

CKACurriculumV1.13.0
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 Probes and 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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    Global Certification

    Terraform Course Projects in Seattle

    Multi-Cloud
    Deployment

    Create Terraform configurations to provision identical infrastructure across multiple cloud providers such as AWS, Azure, and Google Cloud Platform. This project will help you understand how to leverage Terraform's multi-cloud support and manage resources in a heterogeneous cloud environment.

    Highly Available Web Application

    Design and deploy a highly available web application using Terraform. Configure load balancers, auto-scaling groups, database clusters, and other resources to ensure fault tolerance and scalability. Implement infrastructure as code best practices to manage the application's lifecycle.

    Infrastructure Governance and Compliance

    Implement infrastructure governance and compliance policies using Terraform to enforce security, compliance, and regulatory requirements. Define and enforce policies for resource tagging, access control, encryption, and configuration drift detection.

    Container Orchestration with Kubernetes

    Set up a Kubernetes cluster on a cloud provider using Terraform. Deploy and manage Kubernetes resources such as pods, services, and ingresses using Terraform configurations. Experiment with different deployment strategies and configurations to gain insights into Kubernetes orchestration.

    Infrastructure Monitoring and Logging

    Implement infrastructure monitoring and logging using Terraform and cloud-native services such as AWS CloudWatch, Azure Monitor, or Google Cloud Monitoring. Configure alerts, dashboards, and log sinks to monitor resource health, performance, and security.

    Disaster Recovery (DR) Setup

    Design and deploy a disaster recovery solution using Terraform to replicate infrastructure resources across regions or cloud providers. Configure automated failover mechanisms, data replication, and backup strategies to ensure business continuity and data resilience.

    Microservices Architecture

    Build a microservices architecture using Terraform to provision containerized services on a container orchestration platform such as Kubernetes or AWS ECS. Design modular Terraform configurations for each microservice and define service dependencies and communication channels.

    Serverless Architecture

    Explore serverless computing by using Terraform to provision serverless resources such as AWS Lambda functions, API Gateway endpoints, and DynamoDB tables. Build a serverless application that processes events, triggers functions, and stores data without managing servers or infrastructure.

    Hybrid Cloud Deployment

    Deploy a hybrid cloud infrastructure using Terraform to bridge on-premises data centers with public cloud environments. Configure hybrid networking, VPN connections, and hybrid cloud management tools to extend your infrastructure seamlessly across cloud and on-premises environments.

    Continuous Integration and Delivery (CI/CD) Pipelines

    Automate infrastructure deployment using Terraform within CI/CD pipelines. Integrate Terraform with version control systems, build tools, and deployment automation platforms to enable continuous delivery of infrastructure changes with automated testing and validation. These project ideas cover a range of scenarios and use cases that will allow you to apply Terraform's capabilities effectively and gain practical experience in infrastructure automation and management. Tailor these projects to your interests, expertise, and learning objectives to maximize their educational value.

    Get Experience Of 4+ Years

    • Solution for BigData Problem

    • Open Source Technology

    • Based on open source platforms

    • Contains several tool for entire ETL data processing Framework

    • It can process Distributed data and no need to store entire data in centralized storage as it is required for SQL based tools.

    • Solution for BigData Problem

    • Open Source Technology

    • Based on open source platforms

    • Contains several tool for entire ETL data processing Framework

    • It can process Distributed data and no need to store entire data in centralized storage as it is required for SQL based tools.

    • Solution for BigData Problem

    • Open Source Technology

    • Based on open source platforms

    • Contains several tool for entire ETL data processing Framework

    • It can process Distributed data and no need to store entire data in centralized storage as it is required for SQL based tools.

    SYMANTEC NETBACKUP 7.7 TRAINING IN BANGALORE Course reviews

    I had undergone oracle DBA course under Chetan sir's Guidance an it was a very good learning experience overall since they not only provide us with theoretical knowledge but also conduct lot of practical sessions which are really fruitful and also the way of teaching is very fine clear and crisp which is easier to understand, overall I had a great time for around 2 months, they really train you well.also make it a point to clear all your doubts and provide you with clear and in-depth concepts hence hope to join sometime again

    Reema banerjee

    I have completed Oracle DBA 11g from Radical technology pune. Excellent trainer (chetna gupta). The trainer kept the energy level up and kept us interested throughout. Very practical, hands on experience. Gave us real-time examples, excellent tips and hints. It was a great experience with Radical technologies.

    Mrudul Bhokare

    Linux learning with Anand sir is truly different experience... I don't have any idea about Linux and system but Anand sir taught with scratch...He has a great knowledge and the best trainer...he can solve all your queries related to Linux in very simple way and giving nice examples... 100 to Anand Sir.

    Harsh Singh Parihar

    I had a wonderful experience in Radical technologies where i did training in Hadoop development under the guidance of Shanit Sir. He started from the very basic and covered and shared everything he knew in this field. He was brilliant and had a lot of experience in this field. We did hands on for every topic we covered, and that's the most important thing because honestly theoretical knowledge cannot land you a job.

    Rohit Agrawal

    I have recently completed Linux course under Anand Sir and can assuredly say that it is definitely the best Linux course in Pune. Since most of the Linux courses from other sources are strictly focused on clearing the certification, they will not provide an insight into real-world server administration, but that is not the case with Anand Sir's course. Anand Sir being an experienced IT infrastructure professional has an excellent understanding of how a data center works and all these information is seamlessly integrated into his classes.

    Manu Sunil

    Redhat Linux System Administration - Roles and Responsibilities

    L1 Tasks

    1. Basic user account management (creating, modifying, and deleting users).
    2. Password resets and account unlocks.
    3. Basic file system navigation and management (creating, deleting, and modifying files and directories).
    4. Basic troubleshooting of network connectivity issues.
    5. Basic software installation and package management (installing and updating software packages).
    6. Viewing system logs and checking for errors or warnings.
    7. Running basic system health checks (CPU, memory, disk space).
    8. Restarting services or daemons.
    9. Monitoring system performance using basic tools (top, df, free).
    10. Running basic commands to gather system information (uname, hostname, ifconfig).

    L2 Tasks

    1. Intermediate user account management (setting permissions, managing groups).
    2. Configuring network interfaces and troubleshooting network connectivity issues.
    3. Managing file system permissions and access control lists (ACLs).
    4. Performing backups and restores of files and directories.
    5. Installing and configuring system monitoring tools (Nagios, Zabbix).
    6. Analyzing system logs for troubleshooting purposes.
    7. Configuring and managing software repositories.
    8. Configuring and managing system services (systemd, init.d).
    9. Performing system updates and patch management.
    10. Monitoring and managing system resources (CPU, memory, disk I/O).

    L3 Tasks

    1. Advanced user account management (LDAP integration, single sign-on).
    2. Configuring and managing network services (DNS, DHCP, LDAP).
    3. Configuring and managing storage solutions (RAID, LVM, NFS).
    4. Implementing and managing security policies (firewall rules, SELinux).
    5. Implementing and managing system backups and disaster recovery plans.
    6. Configuring and managing virtualization platforms (KVM, VMware).
    7. Performance tuning and optimization of system resources.
    8. Implementing and managing high availability solutions (clustering, load balancing).
    9. Automating system administration tasks using scripting (Bash, Python).
    10. Managing system configurations using configuration management tools (Ansible, Puppet).

    L1-L2 Transition Tasks

    1. Learning basic shell scripting for automation tasks. 2. Understanding file system permissions and ownership. 3. Learning basic networking concepts (IP addressing, routing). 4. Learning how to use package management tools effectively. 5. Familiarizing with common Linux commands and utilities. 6. Understanding basic system architecture and components. 7. Learning basic troubleshooting techniques and methodologies. 8. Familiarizing with basic security principles and best practices. 9. Learning how to interpret system logs and diagnostic output. 10. Understanding the role and importance of system backups and restores.

    L2-L3 Transition Tasks

    1. Advanced scripting and automation techniques (error handling, loops).
    2. Understanding advanced networking concepts (VLANs, subnetting).
    3. Familiarizing with advanced storage technologies (SAN, NAS).
    4. Learning advanced security concepts and techniques (encryption, PKI).
    5. Understanding advanced system performance tuning techniques.
    6. Learning advanced troubleshooting methodologies (root cause analysis).
    7. Implementing and managing virtualization and cloud technologies.
    8. Configuring and managing advanced network services (VPN, IDS/IPS).
    9. Implementing and managing containerization technologies (Docker, Kubernetes).
    10. Understanding enterprise-level IT governance and compliance requirements.

    L3 Tasks and Beyond

    1. Designing and implementing complex IT infrastructure solutions. 2. Architecting and implementing highly available and scalable systems. 3. Developing and implementing disaster recovery and business continuity plans. 4. Conducting security audits and vulnerability assessments. 5. Implementing and managing advanced monitoring and alerting systems. 6. Developing custom automation solutions tailored to specific business needs. 7. Providing leadership and mentorship to junior team members. 8. Collaborating with other IT teams on cross-functional projects. 9. Evaluating new technologies and making recommendations for adoption. 10. Participating in industry conferences, workshops, and training programs.

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