DevOps Tools

Top 10 DevOps Tools You Should Know In 2024

DevOps is a method that integrates IT operations and software development. It allows companies to release new software and make changes to users as fast as possible using automation. Due to the quick adoption of DevOps practices, DevOps tools have been in high demand for the last few years.

Many statistics strongly support and prove this result. The IT and Telecom sector in the USA retained almost 30% of the market share in 2019. And this was because of the growing use of DevOps tools for adding to the NFV (Network Function Virtualization) technologies and dealing with their container-based networks.

Moreover, the global profit of the DevOps software tools market was $8.5 billion in total by the end of 2019. Also, in the present decline due to the pandemic, IDC discovered that the market of the DevOps software tools has grown a lot in 2020 and 2021.

DevOps Tools – An Overview

DevOps software tools make sure automation, transparency, and collaboration remain at the focus of your value stream. These tools promote several methods for sharing and exchanging data and technical knowledge efficiently among all stakeholders, whether it is security, development, business, or operation teams for an efficient product outcome.

Many DevOps automation tools are available these days as the necessity of particular DevOps needs. Stakeholders find it tough to choose the right set of DevOps automation tools. Hence, we have come up with a list of necessary DevOps tools to adopt.

Read also: The Benefits of Employing DevOps

Essential DevOps Tools to Use in 2024

With technological advancement, many DevOps tools have been grown to ease development and collaboration. Want to remodel your DevOps technique? Then, take a look at these major DevOps automation tools that you must use in the year 2024!

1. Kubernetes or K8s

Kubernetes is a container orchestration platform founded by Google. This open-source system deals with containers at a large scale and tries to take containerization to a further level. It helps in handling containerized apps into logical units for simple discovery and management, scaling, and automating deployment.

Key Features of Kubernetes

  • Runs on many hybrids, on-premises, or public cloud hosting services
  • Can scale without extending your ops team
  • Can scale up web servers as per the demand for software apps
  • Developers can use it for scaling both mobile and web apps in creation to the highest levels of online traffic
  • Degrades online server instances at the time of downtimes
  • Works perfectly with Docker
  • Works on the master-slave concept.

2. Docker

Docker is a lightweight DevOps tool helps to ease and speed up different workflows in your SDLC with a combined methodology. A Docker container image is an applicable, standalone package that contains all you require for running an app.

With Docker Engine, you can access the containers, which, as a result, can execute apps in a remote environment.

Key Features of Docker

  • Handle, execute, and package deployed apps using Docker app
  • Docker Hub lets you explore many images from authentic publishers and community
  • Docker helps developers create, test, and collaborate
  • It features container runtime that runs on different Windows and Linux Server Operating Systems
  • Features standardized packaging format for different apps.

Read also: Kubernetes vs. Docker: An In-Depth Comparison

3. Nagios

This is another popular DevOps tool that works as a watchdog for your whole infrastructure and system. IT infrastructure monitoring teams use Nagios for correcting and offering solutions to all infrastructure-related issues before they put the teams at risk. Hence, it monitors your database, network, logs, apps, and even protocols also.

Key Features of Nagios

  • It is open source, hence free to use
  • Upgrades infrastructure and its maintenance schedules
  • Monitors, assesses and identifies vital network infrastructure
  • Solves many issues automatically
  • Allows simple log searching
  • Monitors available bandwidth and network traffic for optimizing usage
  • Handles, assesses, and archives log data over infrastructure

4. Ansible

This tool is made for the automation process and collaboration. It helps integrate and automate testing, development, performance handling, and deployment, and can accelerate productivity. With Ansible, IT procedures and the whole app life cycle can be automated easily.

Ansible contains several modules for facilitating different apps. It can avoid complexity at every phase.

Key Features of Ansible

  • Reduces risks because of insufficient know-how of the IT infrastructure
  • Made to be authentic, simple, and stable for configuration handling
  • Helps handle systems and abstain from complexity
  • Helps in multi-tier app development

5. Git

Git is one of the most favorable tools for open-source contributors and remote teams. This is one of the most popular and widely used DevOps tools also. It’s a distributed SCM (Source Code Management) tool that enables developers to track the advancement of your app development by maintaining various source code versions. Developers can simply return to the earlier version if needed.

Currently, BitBucket and GitHub are 2 popular Git repo hosting services. BitBucket offers unlimited private repositories for a team of up to 5 members, whereas GitHub offers free access to public repositories only.

Key Features of Git

  • Enables distributed development
  • Features branch workflow
  • Allows quicker release cycle
  • It’s a free open-source DevOps tool
  • Aids pull request

6. Puppet

This open-source tool has been made to monitor, handle, and keep up with infrastructure quickly. Being the most successful cross-platform configuration management tool, Puppet can make the deployment secure and faster. Moreover, it is a perfect DevOps program for handling several servers.

Puppet contains the master-slave infrastructure. It allows you to handle many resources and teams. It can manage issues easily and contains different modules that can be combined with other famous DevOps tools. By treating the whole infrastructure as a code, Puppet can automate infrastructure management.

Key Features of Puppet

  • Faster deployment
  • Automation of the whole architecture
  • Constant conflict identification and solutions
  • Reporting real-time context
  • Offers client-server infrastructure
  • Supports different platforms like macOS servers, Cisco switches, and IBM mainframes
  • Supports several operating systems like UNIX, Linux, and Windows
  • Works for both hybrid apps and infrastructure.

7. Selenium

Selenium is mainly used for automating web-based apps. It can automate testing and administrative tasks of web-based apps. It consists of 3 major components:

  • Grid – It runs tests on different devices to scale up your testing efforts and handle many environments from the core point.
  • IDE – It’s a Firefox and Chrome add-on that helps in easy record-and-playback of interactions with the browsers.
  • WebDriver – It enables you to make unique, browser-based regression automation suites and examines and helps scale and distribute scripts throughout several environments.

Key Features of Selenium

  • Creates scalable scripts
  • Builds testing scripts in numerous languages, such as C#, PHP, Python, JavaScript, etc.
  • Utilize the same script in numerous environments

8. Prometheus

Prometheus is a community-driven and open-source system and performance monitoring toolkit. It depends on a time series data model and makes alerts based on it. Moreover, it supports container monitoring. The monitoring process of Prometheus is extensively used within DevOps teams and cloud firms.

Key Features of Prometheus

  • Features a Node Exporter that you can tailor to get data from a client
  • Creates metrics without affecting app performance
  • Easy to customize
  • Scales using federation and functional sharding
  • Contains strong reporting capacities via PromQL
  • Consists of a flexible query language
  • Keeps tabs on multiple microservices

9. Splunk

This DevOps tool brings a great analytic solution with functional understanding that offers operational perception to DevOps teams. It allows comparing logs produced from different sources like devices, websites, and applications that belong to the full IT infrastructure to detect issues.

Splunk is the perfect platform to get started with IoT integration smoothly. It accumulates data and assesses them to offer insights useful to take methodical business decisions.

Key Features of Splunk

  • Checks logs to understand possible problems
  • Stores, assesses, visualizes, and searches machine-produced data
  • Accepts data in numerous formats
  • Offers business analytics.

10. Jenkins

Jenkins is a constant integration server tool that is used for repeating and executing different jobs. This software is deployed on the core server where software development is done. Being one of the open-source ruling automation servers, Jenkins’ automation engine allows DevOps teams to access and integrate the project changes easily and detect the issues rapidly.

Jenkins is tailored for projects of all sizes and complicacy. It is written in Java. Hundreds of add-ons and plug-ins are available for Jenkins.

Key Features of Jenkins

  • You can set up and configure Jenkins easily via a web interface
  • It’s the easiest tool to get started with DevOps
  • It contains Java-based ready-to-run programs that you can run on OS X, Windows, Mac, and other UNIX operating systems
  • Makes a script for integrating different workflows into a single pipeline
  • Features constant integration and delivery
  • Contains numerous interfaces in the form of Rest API, web-based GUI, and CLI

Bottom Lines

Since many DevOps tools are available for every phase of DevOps development, you should use a set of integrated tools to deal with every phase of the development. Your choice of tools will depend on the teams involved and the environment. The aforesaid list of 10 major DevOps tools is great for software development.

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Rushi Patel

Rushi Patel is a Team Lead at MindInventory and having skilled in NodeJs • React • VueJs • Angular • IONIC • NuxtJs • NextJs • Koa • Laravel • PHP • React Native • MySQL • Postgres • MongoDB • GraphQL • Prisma • Cloud Computing • DevOps • Microservices