DevOps as a market is poised to reach a whopping 57.90 billion by 2030, according to a market research report. The same market in 2020 was valued at 6.78 billion.
This predicted expansion is staggering and yet also the reality. DevOps as a profession is evolving rapidly and constantly striving towards innovation. Despite the current pandemic-induced slowdown, IDC found that the DevOps software tools market expanded in the single digits in 2020 and 2021.
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DevOps tools assist organisations in overcoming several problems associated with implementing DevOps practises in real time. We have listed some of these tools that enhance the Software Development Life Cycle (SDLC) process.
1. Github
Github is widely regarded as one of the world’s largest and most advanced development platforms. On GitHub, millions of developers and businesses develop, deploy, and administer their software.
This distributed Source Code Management (SCM) solution is used to track changes in software development files and to effectively coordinate work among programmers. Its goal is to improve non-linear, distributed workflows’ speed, support, and data integrity.
Features
- Collaborative Coding
- Automation / CI & CD
- Security including additional features for corporates
- Project Management
2. Ansible
Ansible is a free and open-source DevOps solution for deployment, orchestration, and automation. While Ansible employs infrastructure as a code architecture, its push nodes are connected via SSH, making it agentless.
It simplifies software development automation throughout its entire lifecycle as one of the most well-known DevOps solutions on the market. Michel DeHaan built it in Python, Shell, Ruby, and PowerShell.
Features
- Collaborative Coding
- Automation / CI & CD
- Security including additional features for corporates
- Project Management
3. Kubernetes
Kubernetes is a prominent container orchestration platform and an open-source DevOps solution for automating the deployment and administration of containerized applications.
Kubernetes, being one of the top DevOps automation solutions, is ideal for applications with a large number of containers. It enables developers to logically segregate and package container clusters for deployment across many servers.
Features
- Facilitates service traffic routing according to cluster topology
- Original IP addresses, single DNS name for Pod sets
- Local to Public storage options such as AWS or GCP
- Allocates IPv6 & IPv4 addresses to services and Pods
4. Splunk
Splunk employs predictive streaming analytics to monitor infrastructure performance at cloud scale in real-time. It uses a web-like interface to search, monitor, and analyze machine-generated big data. It lets you discover, group, break down, and investigate systems, services, and clouds automatically.
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Features
- Facilitates service traffic routing according to cluster topology
- Original IP addresses, single DNS name for Pod sets
- Local to Public storage options such as AWS or GCP
- Allocates IPv6 & IPv4 addresses to services and Pods
5. Puppet
This DevOps automation solution enables management of various software lifecycle stages such as IT infrastructure provisioning, patching, and software component and OS configuration and management across cloud infrastructures and data centers.
Features
- Automate and simplify critical manual tasks by extracting configuration details
- Effective scaling ability in diverse environments
- Commercial licence offers out-of-the-box reporting, node management, orchestration, product support, and access control