Puppet is the most widely used DevOps tool. It allows the delivery and release of the technology changes quickly and frequently. It has features of versioning, automated testing, and continuous delivery. It enables to manage entire infrastructure as code without expanding the size of the team.

Features

Real-time context-aware reporting.
Model and manage the entire environment.
Defined and continually enforce infrastructure.
Desired state conflict detection and remediation.
It inspects and reports on packages running across the infrastructure.
It eliminates manual work for the software delivery process.
It helps the developer to deliver great software quickly.

2) Ansible

Ansible is a leading DevOps tool. Ansible is an open-source IT engine that automates application deployment, cloud provisioning, intra service orchestration, and other IT tools. It makes it easier for DevOps teams to scale automation and speed up productivity.

Ansible is easy to deploy because it does not use any agents or custom security infrastructure on the client-side, and by pushing modules to the clients. These modules are executed locally on the client-side, and the output is pushed back to the Ansible server.

Features

It is easy to use to open source deploy applications.
It helps in avoiding complexity in the software development process.
It eliminates repetitive tasks.
It manages complex deployments and speeds up the development process.

3) Docker

Docker is a high-end DevOps tool that allows building, ship, and run distributed applications on multiple systems. It also helps to assemble the apps quickly from the components, and it is typically suitable for container management.

Features

It configures the system more comfortable and faster.
It increases productivity.
It provides containers that are used to run the application in an isolated environment.
It routes the incoming request for published ports on available nodes to an active container. This feature enables the connection even if there is no task running on the node.
It allows saving secrets into the swarm itself.

4) Nagios

Nagios is one of the more useful tools for DevOps. It can determine the errors and rectify them with the help of network, infrastructure, server, and log monitoring systems.

Features

It provides complete monitoring of desktop and server operating systems.
The network analyzer helps to identify bottlenecks and optimize bandwidth utilization.
It helps to monitor components such as services, application, OS, and network protocol.
It also provides to complete monitoring of Java Management Extensions.

5) CHEF

A chef is a useful tool for achieving scale, speed, and consistency. The chef is a cloud-based system and open-source technology. This technology uses Ruby encoding to develop essential building blocks such as recipes and cookbooks. The chef is used in infrastructure automation and helps in reducing manual and repetitive tasks for infrastructure management.

Chef has got its convention for different building blocks, which are required to manage and automate infrastructure.

Features

It maintains high availability.
It can manage multiple cloud environments.
It uses popular Ruby language to create a domain-specific language.
The chef does not make any assumptions about the current status of the node. It uses its mechanism to get the current state of the machine.

6) Jenkins

Jenkins is a DevOps tool for monitoring the execution of repeated tasks. Jenkins is a software that allows continuous integration. Jenkins will be installed on a server where the central build will take place. It helps to integrate project changes more efficiently by finding the issues quickly.

Features

Jenkins increases the scale of automation.
It can easily set up and configure via a web interface.
It can distribute the tasks across multiple machines, thereby increasing concurrency.
It supports continuous integration and continuous delivery.
It offers 400 plugins to support the building and testing any project virtually.
It requires little maintenance and has a built-in GUI tool for easy updates.

7) Git

Git is an open-source distributed version control system that is freely available for everyone. It is designed to handle minor to major projects with speed and efficiency. It is developed to co-ordinate the work among programmers. The version control allows you to track and work together with your team members at the same workspace. It is used as a critical distributed version-control for the DevOps tool.

Features

It is a free open-source tool.
It allows distributed development.
It supports the pull request.
It enables a faster release cycle.
Git is very scalable.
It is very secure and completes the tasks very fast.

8) SALTSTACK

Stackify is a lightweight DevOps tool. It shows real-time error queries, logs, and more directly into the workstation. SALTSTACK is an ideal solution for intelligent orchestration for the software-defined data center.

Features

It eliminates messy configuration or data changes.
It can trace detail of all the types of the web request.
It allows us to find and fix the bugs before production.
It provides secure access and configures image caches.
It secures multi-tenancy with granular role-based access control.
Flexible image management with a private registry to store and manage images.

9) Splunk

Splunk is a tool to make machine data usable, accessible, and valuable to everyone. It delivers operational intelligence to DevOps teams. It helps companies to be more secure, productive, and competitive.

Features

It has the next-generation monitoring and analytics solution.
It delivers a single, unified view of different IT services.
Extend the Splunk platform with purpose-built solutions for security.
Data drive analytics with actionable insight.

10) Selenium

Selenium is a portable software testing framework for web applications. It provides an easy interface for developing automated tests.

Features

It is a free open-source tool.
It supports multiplatform for testing, such as Android and ios.
It is easy to build a keyword-driven framework for a WebDriver.
It creates robust browser-based regression automation suites and tests.

DevOps Automation

Automation is the crucial need for DevOps practices, and automate everything is the fundamental principle of DevOps. Automation kick starts from the code generation on the developers machine, until the code is pushed to the code and after that to monitor the application and system in the production.

Automating infrastructure set up and configurations, and software deployment is the key highlight of DevOps practice. DevOps practice id is dependent on automation to make deliveries over a few hours and make frequent deliveries across platforms.

Automation in DevOps boosts speed, consistency, higher accuracy, reliability, and increases the number of deliveries. Automation in DevOps encapsulates everything right from the building, deploying, and monitoring.

DevOps Automation Tools

In large DevOps team that maintain extensive massive IT infrastructure can be classified into six categories, such as:

Infrastructure Automation
Configuration Management
Deployment Automation
Performance Management
Log management
Monitoring

Below are few tools in each of these categories let see in brief, such as:

Infrastructure Automation

Amazon Web Services (AWS): Being a cloud service, you don’t need to be physically present in the data center, they are easy to scale on-demand, and there are no up-front hardware costs. It can be configured to provide more servers based on traffic automatically.

Configuration Management

Chef: Chef is a handy DevOps tool for achieving speed, scale, and consistency. It can be used to ease out of complex tasks and perform configuration management. With the help of this tool, the DevOps team can avoid making changes across ten thousand servers. Rather, they need to make changes in one place, which is automatically reflected in other servers.

Deployment Automation

Jenkins: It facilitates continuous integration and testing. It helps to integrate project changes more efficiently by quickly finding issues as soon as built is deployed.

Performance Management

App Dynamic: It offers real-time performance monitoring. The data collected by this tool help developers to debug when issues occur.

Log Management

Splunk: This DevOps tool solves issues such as storing, aggregating, and analyzing all logs in one place.

Monitoring

Nagios: It notified people when infrastructure and related service go down. Nagios is a tool for this purpose, which helps the DevOps team to find and correct problems.

So, this brings us to the end of blog. This Tecklearn ‘Popular DevOps and DevOps Automation Tools’ blog helps you with commonly asked questions if you are looking out for a job in DevOps. If you wish to learn DevOps and build a career in DevOps domain, then check out our interactive, DevOps Training, that comes with 24*7 support to guide you throughout your learning period. Please find the link for course details:

https://www.tecklearn.com/course/devops-training/

DevOps Training

About the Course

IT Experts have immense pressure to improve the business efficiency by developing, testing and deploying a product securely, so DevOps has become a software development methodology. Tecklearn’s DevOps Training program will prepare you for a career in DevOps, the fast-growing field that bridges the gap between software developers and operations. The DevOps Certification Training Program will provide you with in-depth knowledge of various DevOps tools including Git and GitHub, Maven, Jenkins, Docker, Ansible, Puppet, Chef, Kubernetes and Nagios. This training is completely hands-on and you will become an expert in the principles of continuous development and deployment, automation of configuration management, inter-team collaboration and IT service agility.

Why Should you take DevOps Training?

The DevOps market is expected to grow from USD 3.42 Billion in 2018 to USD 10.31 Billion by 2023, at a Compound Annual Growth Rate (CAGR) of 24.7% during the forecast period. The demand for DevOps is expected to be driven by several factors, such as lower costs, flexibility, agility, and fast application delivery.
Average salary given to a DevOps Engineer is around $122,969 per annum – Indeed.com
Amazon, Netflix, NASA, eBay, GE, ING, Intuit, PayPal, Splunk, Uber & other MNCs worldwide use DevOps

What you will Learn in this Course?

Introduction to DevOps

What is Software Development
Software Development Life Cycle
Why DevOps?
What is DevOps?
DevOps Lifecycle
DevOps Tools
Benefits of DevOps
How DevOps is related to Agile Delivery
DevOps Implementation

Git and GitHub

What is version control
Version Control System (VCS) Products
Types of VCS
What is Git
Why Git for your organization
Install Git
Common commands in Git
Working with Remote Repositories
GitHub
Git Installation
Git Lifecycle
GitHub (Push, Pull Request)
GitHub Workflow

Maven

Maven
Maven Directory
Maven Lifecycle
Maven Dependencies
Maven Repositories
Phases and Goals

Continuous Integration with Jenkins

Introduction to Continuous Integration and Jenkins
Jenkins Management
Jenkins Master Slave Architecture
Tools Required for CI
Understanding CI/CD Pipelines
Creating an end to end automated CI/CD Pipeline
Jenkins Versions

Containerization using Docker – Part 1

Introduction to Docker
Understanding Docker Lifecycle
Docker Architecture
Components of Docker Ecosystem
Common Docker Operations
Committing changes in a Container
Hands On

Containerization using Docker – Part 2

Building Custom Docker Images
Docker Image
Introduction to Docker Swarm
Deploying a 2-Node Cluster using Docker Swarm
Hands on

Configuration Management using Ansible

What is Ansible?
Ansible vs Puppet
Ansible Architecture
Ansible Installation
Setting up Master Slave using Ansible
Configuring Ansible Roles
Write Playbooks
Applying configuration using Ansible
Hands on

Continuous Deployment: Configuration Management using Puppet

Need of Configuration Management
What is Puppet
Puppet Architecture
Puppet Components
Puppet Lifecycle
Setting up Master Slave using Puppet
Puppet Manifests
Puppet Modules
Applying configuration using Puppet
Puppet File Server
Hands On

Continuous Delivery using Chef

Continuous Delivery
What is Chef
Chef Framework
How Chef Works
Chef Advantages
Chef Installation
Hands on

Continuous Monitoring using Nagios

Introduction to Continuous Monitoring
Introduction to Nagios
Nagios Architecture
Monitoring Services in Nagios
Installing Nagios
Nagios Plugins (NRPE) and Objects
Nagios Commands and Notification
Monitoring of different servers using Nagios

Continuous Orchestration using Kubernetes

Introduction to Kubernetes
Docker Swarm vs Kubernetes
Kubernetes Architecture
Deploying Kubernetes using Kubeadms
Alternate ways of deploying Kubernetes
Understanding YAML
Creating a Deployment in Kubernetes using YAML
Creating a Service in Kubernetes
Installing Kubernetes Dashboard
Deploying an App using Dashboard
Using Rolling Updates in Kubernetes
Containers and Container Orchestration

Got a question for us? Please mention it in the comments section and we will get back to you.

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