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Top 5 DevOps tools and why to master them

Updated: Jun 27

Best DevOps training institute in Kochi, Kerala


DevOps simplifies software development and deployment by automating tasks through different practices like implementing CI/CD with GitLab and Jenkins; creating and managing infrastructure programmatically using Terraform or Ansible; and monitoring systems or applications with Prometheus, Grafana, or similar tools. In short, DevOps is used for deploying, troubleshooting, and ensuring the applications or systems are up and working. Whether you are a college graduate, a professional looking to switch careers, or a network engineer aiming to upskill, mastering DevOps tools can significantly boost your career prospects. This blog will guide you through essential DevOps tools and provide tips on how to master them, demonstrating that transitioning to a DevOps career is both achievable and rewarding. 

Top 5 DevOps tools

  • Git and GitHub

  • Docker

  • Jenkins

  • Kubernetes

  • Ansible

Git and GitHub

GitHub is a platform for online software creation. It is employed for archiving, monitoring, and teamwork on software tasks. It makes it simple for developers to collaborate on open-source projects and exchange code files. Developers can corporate, network and still work publicly on GitHub. It also functions as a social networking platform. It is a go-to platform for collaborative software projects for sharing codes and collaborating with others in real time.


Git is the most popular version control system in the world. It records the changes made in a code over time in a special database called a repository. We can look at our project history and see who has made what changes, when and why. If there is some issue we can easily revert our project to an earlier state. Without a version control system, we will have to constantly store copies of the entire project in various folders. This is very slow and does not scale at all. So in short,  with a version control system, we can track our project history and work together. Git is free, open source, superfast, scalable, and also cheap branching/ Merging. 


Git is software and is installed locally on a system

Git Hub is a service that is hosted on the web and is exclusively cloud-based.

Git is maintained by Linux 

GitHub is maintained by Microsoft.

Git can manage the source code’s entire history

GitHub is a hosting service for Git repositories.

Git has no management features

Github has inbuilt user management feature

Git is open source licensed

GitHub includes a free tier and pay for use tier

Uses of GIT

  • It helps to see how source code changes during software development.

  • It also serves as a medium that allows for partnering on code through branching and merging.

  • They also help in creating branches for new features, bug fixes, etc.

  • Allows reviewing codes changed across diffs and commit history.

  • Additionally, it also integrates with CI tools which helps in testing and deploying code.

Uses of GitHub

  • The platform enables different contributors to work on repositories using functionalities such as pull requests and issues.

  • A web-based interface is provided by this tool for Git repositories.

  • It also visualizes branches useful for managing pull requests and making them part of the main codebase.

  • On top of that, it has peer code reviews provided by pull requests with inline comments and discussions

  • The built-in issue tracker manages bugs, feature requests, or project tasks

  • Project documentation is hosted through README files and GitHub Pages make static websites.

  • Other features include GitHub Actions- automating workflows; CI/CD pipelines; and other integrations.

  • These boards offer task management tools on projects where one can assign tasks among others.

  • Developers fork repositories, and star projects, follow along with what other developers are doing in the community, etc..

  • Repositories are hosted in the cloud meaning they have access control and backup options available to users all time round.

  • Static websites are hosted directly from repositories

  • Ranges from dependency vulnerability alerts and other secret scanning security features.

  • Stores websites in repositories and can directly serve static website content.

  • Compatible with a lot of third-party applications and services (e.g., integration with Slack Workplace, JIRA, and Travis CI).

  • Directed at giving details and analysis on repository operations as well as contributors.

How Git and GitHub help DevOps professionals

  • Improved collaboration: Git and GitHub improve collaboration because developers, testers, and operations personnel can set up repositories, branches, and merges as a group effort.

  • Automation: Automating the testing, building, and deployment is done through GitHub Action or any other tool of the CI/CD pipeline, and this eliminates the need for human interaction.

  • Consistency and reliability: It is essential to manage files in a way that enhances easy tracking of change history, easy rollback, and overall history tracking, all of which are critical instability.

  • Enhanced security: These basic security features such as code scan, vulnerability, and patch alerts ensure that codebases are secure and that proper security of applications and infrastructure is maintained.

  • Documentation and knowledge sharing: Documentation storage in the repository means that the information is always relevant and within easy reach, which drives knowledge sharing and training for new staff members.

  • Infrastructure Management: Implementing infrastructural practices in the form of codes and integrating its version control along the application code makes it easier to maintain consistency across environments.


Docker is an open-source, container hosting platform with automated deployment, scaling, and management. It employs the idea of containerization where an application together with all the dependencies it requires can be put in a container format and be hosted in any environment with the assurance of similar consistency.

Uses of Docker

  • Application deployment: It is a platform that enables the packaging of an application with its dependencies in a simplified container that will run in the environment of the developer’s choice regardless of the stage whether it is development or even testing and production.

  • Microservices architecture: Docker facilitates the creation and implementation of microservices, in which each application forms a separate service, running in a separate container while allowing for coordination of scale and frequency of updates.

  • Continuous Integration/Continuous Deployment (CI/CD): There are more than thirty tools which Docker can easily collaborate with where performance testing, application building, as well as application employing, are all initiated through CI/CD pipelines.

  • Environment standardization: It’s also important to note that Docker is good when it comes to standardization across various development or testing phases since the presence of “it works on my machine” is no longer an issue.

  • Resource efficiency: However, containers need less RAM and disk space, they occupy fewer resources and share the host OS kernel so it can be said that containers are more efficient than virtual machines in the usage of resources.

  • Isolation: The second key advantage of Docker pertains to process and file system isolation, guaranteeing that applications are contained in different volumes without integrating.

How Docker Helps DevOps Professionals

Simplifies configuration and deployment:
  • Infrastructure as Code: With Dockerfiles, it is easy for anyone specifically DevOps specialists to have code that holds definitions of infrastructure and configurations.

Enhances collaboration:
  • Simplified Onboarding: For new team members, new collaboration is not a problem because a simple Docker command can start their environment.

Facilitates Continuous Integration/Continuous Deployment (CI/CD):
  • Automated testing: Docker has also been integrated with CI/CD tools; this enables the testing to be done in an isolated environment so that there is no doubt in terms of the results.

  • Seamless deployments: Dockerisation makes the containers easy and fast to deploy and this enables the deployment of continuous deployment since it minimizes down time.

Improves resource utilization:
  • Lightweight containers: However, Docker is more effective than conventional virtual machines, hosting applications in isolated containers that have access to the host OS kernel and fewer system resources.

  • Scalability: This also permits applications to scale horizontally by cloning containers which are beneficial in dealing with various levels of loading.

Enables microservices architecture:
  • Service isolation: Containers comprising servers are utilized where each microservice is deployed in a container, which enhances isolation and self-sufficiency for easy management and versioning.

Enhances security:
  • Isolation: Docker has process and file system isolation and therefore offers improved security since applications are not compromised if others reject them.

  • Controlled access: Another way in which Docker can be used to manage this issue is by providing mechanisms for regulating access and standardizing permissions to the containers reducing vulnerability to unauthorized access.

  • Cross-platform compatibility: Every Docker container can run on any physical host that supports Docker, thus offering both true platform independence and portability.

  • Multi-cloud support: Containers with Docker can be run across various clouds allowing for a successful implementation of hybrid and multi-cloud solutions.


Jenkins is a tool that is adapted to assist in the automation of the delivery pipeline process especially in the construction, testing, and deployment of applications. It is a programming language written in Java that offers more than 400 plugins for handling building, deployment, and development of any project.

Jenkins is a powerful tool that manages and automates application development and deployment with the help of the continuous integration and delivery model. It is also a tool for integrating and deploying applications in the automated process of software development.

Uses of Jenkins

  • Continuous integration (CI): Jenkins is a tool that assists in the merging of code contributions by several persons into a common repository several times a day. It compiles and executes it each time a change is committed, and has a ready and working code at all times.

  • Continuous delivery (CD): Jenkins acts as an automation tool for deployment, this means that wherever the code is tested, production release can happen at any time. It aids in establishing a method of continuously building the code and then pushing it to development, staging, or production based on the performance of tests.

  • Automated testing: It means Jenkins can automatically run the unit tests, integration tests, etc. on the newly checked-in code to ensure that the new code or changes made do not affect the existing functionalities.

  • Build automation: Jenkins can integrate code, get applications, and handle dependencies thus making the build process stable for re-use.

  • Monitoring execution of jobs: Jenkins is also able to observe the running jobs, report and record the output, and finally provide feedback in the form of completion or failure to the working team, hence solving any problems that may have arisen within a short period.

  • Plugin ecosystem: Jenkins supports all ranges of plugins to interface with different tools, which extend Jenkins feature set and enable it to fit into almost every process.

How Jenkins help DevOps professionals

  • Automates repetitive tasks: They state that Jenkins helps to automate more routine processes, such as code merging, compiling, testing and deploying, for the DevOps specialists, while the experts can dedicate their time to the higher-value activities.

  • Improves code quality: With testing and integration automation, Jenkins participates in discrete failure detection during the development stage leading to a higher code quality.

  • Facilitates Continuous Integration/Continuous Deployment (CI/CD): Jenkins is a key platform for managing CI/CD practices that makes software development more efficient and dependable.

  • Enhances collaboration: First is maintaining code from several developers merged often and tested, thus eliminating common conflicts and integration problems.

  • Reduces manual errors: To this end, Jenkins can reduce the risks of errors during build, test, and deploy activities in a way that makes the developmental process more stable, accurate, and efficient.

  • Scalability: Jenkins supports a variety of builds and tests at once which is quite useful when working on large projects and therefore many developers can work on it at once.

  • Flexibility: Jenkins has an overloaded plugin list that provides DevOps specialists with the opportunity to extend the tool to suit the necessities of real work, linking it to other tools and technologies utilized in the working environment.

  • Real-time feedback: Information about the builds, tests, and deployment status is made available on the Jenkins dashboard in real time to help the DevOps team remedy any problems with minimal delay.


Kubernetes or K8s is a distribution of the container orchestration system originally released by Google. It also scales and deploys any containerized application, and further manages them remotely. Kubernetes organizes resources or containers that form an application into coherent units for better management and discovery. Well, it is a very reliable system, which aids in the management of a massiveness of the containerized greatest area with minimal disruption, and guarantees the application’s stability.

Uses of Kubernetes

  • Automated deployment: Helps to orchestrate the running of containers within localized sets of machines as applications.

  • Scaling applications: Capable of proceeding to up or down scaling to cater to high or low traffic flow respectively.

  • Load balancing: Takes workload distribution to the network level to ensure the availability and reliability of the applications.

  • Self-healing: Re-creates any containers that never start from scratch, replaces, reschedules, or kills containers that do not recover from user-defined health checks.

  • Service discovery and load balancing: From a hardware perspective, its features include: dynamically assigning IP addresses to containers and providing a single DNS address for a group of containers to distribute the workload and traffic.

  • Storage orchestration: Responsible for storage resources and enables the developers to associate a persistent storage mount for application use.

  • Automated rollouts and rollbacks: It includes a prompt application of updates, improvements, and bug fixes, as well as efficient handling of rollback procedures to guarantee a limited amount of disruption.

How Kubernetes Helps a DevOps professional

Automation and Efficiency:
  • Automated operations: Kubernetes is launched to address the issues of automation of containerized applications deployment, scaling and management, and minimization of human interaction.

  • Continuous deployment (CD): It can easily be incorporated into the CI/CD process so that it can support the continuous deployment and delivery of applications.

Scalability and flexibility:
  • Elastic scaling: Chooses and allocates application instances automatically depending on the current loads in the system, which in turn helps optimize available resources.

  • Multi-cloud support: It supports the possibility of its deployment on different cloud services and on-premise solutions, which also implies no dependencies on proprietary services.

Reliability and resilience:
  • Self-healing: Another key function is that on its own, it relaunches failed containers, rebuilds, reschedules, and kills unresponsive containers, thus, improving availability.

  • Load balancing: This will ensure proper distribution of network traffic to have a high availability of applications and service performance.

Resource optimization:
  • Efficient resource management: Helps in managing the hardware resources in the most efficient way possible, even in the case where multiple applications need to share the same underlying resources.

  • Cost-effectiveness: This design helps in cutting down costs through the effective management of resources as well as the provision of advisories on scaling.

Enhanced Collaboration:
  • Unified development environment: Ensures that there are harmonized development and production environments, thus helping to solve problems that can be attributed to the fact that this or that program worked on this but not on that machine.

  • Microservices support: Helps in creating and designing applications based on microservices, enhancing modularity and maintainability of applications.

Security and compliance:
  • Configuration management: handles easier configurations, so that initial administration can prevent exposure of important information.

  • Role-based access control (RBAC): This applies detailed access controls to regulate access to certain assets to keep them safe from malicious access.

Observability and monitoring:
  • Integrated monitoring tools: Works with logging and monitoring applications (also known as monitoring-stack including Prometheus and Grafana), that help to analyze the overall status and performance of the application.


Ansible is an automation tool. It is used in areas like configuration management, application deployment, and the task at large. In all its aspects, it is created to be user-friendly while at the same time incorporating all the capabilities of automating multiple hierarchical work processes. The automation tool Ansible which will be used to automate jobs uses a language called YAML which is easy to read and write.

Uses of Ansible

  • Configuration management: Guarantees that settings in systems and software, or variations in them, are the same across different servers.

  • Application deployment: Helps in the provisioning of apps through provisioners where resources and configurations required are managed intelligently.

  • Task automation: Simplifies time-consuming IT tasks like updating systems, allocating servers, and implementing software updates.

  • Orchestration: Manages often extend or include comprehensive, diverse, and multi-step activities or operations on different systems and surroundings.

  • Provisioning: Performs the installation and initial setup of servers – these could be physical and/or virtual servers, or located in the cloud, and installing software as well as services on the server.

How Ansible assists a DevOps professional

Ansible provides several benefits to DevOps professionals, helping to streamline workflows and improve efficiency.

Simplifies automation:
  • Declarative language: It is simpler to write than programming languages, thus eliminating the need to train people to endorse the organic learning process.

  • Agentless: As opposed to several other automation tools, Ansible does not need any agents or other software to be installed on the target machines, which makes the process of managing them less complicated and relatively more efficient in terms of resource utilization.

Improves consistency and reliability:
  • Consistency: Ensures that scripts can be run more than one time, so there are no underlying effects that impact across different environments.

  • Reusability: Custom organization playbooks (Ansible scripts) can be developed and stored for use, and can be shared between different users thereby minimizing the issue of the duplication of certain playbooks among users.

Enhances collaboration:
  • Version control integration: Some of the contents of playbooks can be kept in version-controlled systems such as git to allow for the checking out and reviewing of code by team members.

  • Documentation: This is because YAML scripts not only act as programs but also documents that enable teams to modify the automation processes efficiently.

Accelerates deployment and scaling:
  • Rapid provisioning: Saves time whenever new environments are required due to cases like increased workload that requires enhancement of current environments.

  • Continuous delivery: Compatible with CI/CD pipelines as it optimizes the deployment process to be much more efficient and swift in releasing the software.

Increases operational efficiency:
  • Automation of repetitive tasks: Saves time that can be utilized by DevOps specialists when performing operational tasks and lowers their efficiency due to uninteresting monotonous work.

  • Centralized management: Allows controlling multiple topologies from a single point of control, thus helping minimize clutter.

Enhances security and compliance:
  • Consistent configuration: This helps to increase an organization’s security posture as all systems are checked against specific security policies and configurations.

  • Automated patching: They make it easy to patch all systems and correlate the information to the latest security updates available.


Therefore, anyone who is willing to engage in learning and practicing DevOps fundamental tools such as Docker, Jenkins, Kubernetes, Ansible, and Git can do so efficiently regardless of their current experience level. These tools must serve the purposes of easing and streamlining tedious work processes, as also they have to be used by novices and experienced experts alike. Time spent familiarizing and researching the workings and policies of these tools can greatly improve how applications can better be controlled, deployed, and capitalized on. The process of becoming a master of these tools involves constant education and periodic practice, however the benefits of such knowledge result in enhanced cooperation and increased effectiveness and dependability of the IT environment.

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