DevOps is a methodology that integrates software development and IT operations. It is designed to shorten the system’s development life cycle and provide continuous delivery with high software quality. It allows companies to release new software and make changes for users as quickly as possible using automation. Simply put, DevOps is an excellent method to improve collaboration between the development and operation teams.
The primary goal is to optimize the flow of value from the idea to the end-user and make the delivery of the values embedded more effective. Due to its popularity, there has been a rise in the adoption of DevOps, which has led to a rise in the use of DevOps software tools.
Top DevOps Tools and Technologies
1. Kubernetes or K8s: Kubernetes is an open-source automated container orchestration platform managed by Cloud Native Computing Foundation. It is used for automating computer applications deployment, management and scaling. It deals with containers at a large scale and tries to take containerization to the next level, making it more efficient.
- It runs on many hybrids, on-premises and public cloud hosting services.
- You can scale it up seamlessly without having to extend your OPS team.
- It works on the master-slave concept. It also allows you to add/mount the storage system for your choice.
- It automatically packages applications and schedules containers based on available resources.
- If a container fails during execution, it can automatically restart the said container. Also, if some containers don’t pass the routine user-defined health check-ups, it will automatically stop them.
2. Nagios: This is one of the popular DevOps tools that monitors your entire infrastructure and system. It is an open-source computer software application that monitors systems, networks and infrastructure. It is used by the IT infrastructure team to identify and rectify infrastructure-related issues and errors. This helps prevent security risks and threats.
- It helps monitor, identify and assess vital network infrastructure and upgrades infrastructure and its maintenance schedules.
- It solves several issues automatically and allows simple log searching.
- It offers a centralised view of the entire monitored IT structure with detailed status information available through web interfaces.
3. Ansible: This tool is used for automation and collaboration. It is open-source software that makes complex deployment easy. It also helps scale automation and speeds up productivity across all teams.
- It is simple to set up and use. You don’t require any coding skills.
- It is a flexible tool that allows you to orchestrate the entire application environment, irrespective of where it is deployed.
- It also helps in multi-tier app development.
4. Docker: Docker is a lightweight DevOps tool that uses a combined methodology to speed up and ease workflows. This tool is also highly compatible. So, any application built using Docker can work seamlessly across all OS, irrespective of the custom settings deployed by users.
- It allows for faster & easier configuration and helps developers to create, test and collaborate.
- Docker hub lets you explore many images from authentic publishers & communities and helps increase productivity.
5.Git: Git is one of the most favorable tools for open-source contributors & remote teams and the most widely used DevOps tool. It is used for tracking changes in files. Programmers worldwide use Git to collaborate with others while developing source code for a software development project.
- Offers excellent speed & efficiency to handle small as well as large projects.
- It features branch workflow, aids pull requests, and allows for a quicker release cycle.
- It helps with non-linear development and is compatible with all operating systems.
6. Jenkins: Jenkins is an integration server tool used for executing different tasks written in Java. It helps developers (around the world) to build, test and deploy their software. It is the most popular open-source CI/CD tool available that also helps run several containers.
- It is easy to install and provides constant integration and delivery.
- It offers seamless integration of different workflows into a single pipeline.
- It offers tailored solutions for projects, regardless of their size or complexity.
7. Prometheus: As an open-source system for performance monitoring, Prometheus contains multiple modes for visualizing data. Time series are identified by a metric name and a set of low-key pairs. This allows users to efficiently collect these time series data to generate tables, ad-hoc graphs, and alerts.
- It offers easy customisation and allows you to keep a tab on multiple micro-services.
- Its node exporter feature makes it easy to get data from clients. Plus, this tool supports over 10+ languages.
- It offers custom libraries that are easy to implement, and each server works independently.
- It allows you to monitor and handle notifications via the Alert Manager feature.
8. Puppet: This is an excellent DevOps tool to monitor and keep your infrastructure up-to-date. Puppet is useful for handling several servers. As a cross-platform configuration management tool, it also helps make deployment secure & faster. It is available in both versions – open-source and commercial. What’s more, for system configurations, it uses its own declarative language.
- It is highly scalable and compatible with platforms that support Ruby.
- As an open-source tool, it is cost-effective and comes with detailed documentation.
- Its pro version offers graphical reporting.
- Being an exceptional tool, it helps improve the productivity of various teams.
- Gradle: For faster creation and automation of high-quality software, Gradle is an ideal DevOps tool. It supports multiple languages – Java, C++, Python – and can be used for deployment on numerous platforms. It is a trusted software used by developers worldwide and can help accelerate productivity leading to faster delivery.
- It is an expressive, declarative and maintainable build tool that provides high performance and improved scalability.
- It is fully flexible and provides an excellent project layout and life-cycle.
- It supports dependency management and is easy to maintain even for multi-module complex projects.
- Splunk: This tool provides real-time insights across all stages of an application delivery lifecycle, making it easier for the DevOps team to identify and fix issues, which leads to faster application delivery. This tool also allows the data security team to analyse large sets of data sets for any malicious threats and respond to them quickly.
- This tool is great for initiating loT integration and provides real-time business analytics insights.
- It helps analyse data in various formats.
- It also allows you to scrutinize logs that help you to find and fix errors.
There are many DevOps tools available for every phase of DevOps development. But, the above tools are excellent for faster software development and delivery.
Have you used any of these tools? If yes, then comment below and tell us how effective they are.