DevOps is a technique that merges IT operations and software development teams to establish a process that enhances collaboration and production. It is based on Agile methodologies. Despite the numerous definitions of DevOps, there is universal agreement that automation and continuity are crucial parts of DevOps. DevOps solutions are widely available and can help team members adopt automation and continuity most effectively.
DevOps automation tools are used to automate software development processes while also focusing on lifecycle, distribution, and monitoring equipment, among other things. If you want to learn about the best DevOps automation tools, we suggest DevOps Tools Training to get a head start on your journey.
What is DevOps automation? DevOps automation uses technology to augment processes that enable feedback loops among operations and development teams to hasten the distribution of iterative changes to applications in production. Automation tools in DevOps improve speed, steadiness, correctness, dependency, and delivery rate. DevOps automation covers all aspects of development, deployment, and monitoring.
DevOps automation tools make it simpler by introducing a new flow throughout SDLC and addressing essential perspectives of your DevOps by automating the entire system chain with Create, Check, Publish, and Release capabilities.
- Speeded Up Development
- improved operational effectiveness.
- More rapid release
- Continuous Supply
- Continuous Deployment
- Greater Collaboration and Faster Recover Time
- Greater Innovation Speed
- Unbroken Flow Across the Value Chain
The Hands on DevOps Training gives a detailed understanding of the best practices and use cases of DevOps automation tools.
Here we will talk in detail about the best automation tools for DevOps. This DevOps automation tools list will give you an overview of the different kinds of tools DevOps offers and their uses.
1. Puppet
A DevOps configuration management tool is Puppet. Puppet Labs produces both open-source and paid versions of this. This is one of the most used automation DevOps tools. It is used to automate and centralize the configuration management process. While using Puppet, specify the ideal condition for the infrastructure systems you wish to manage. Writing proper code in Puppet's Domain-Specific Language (DSL), also known as Puppet Code, which works using a wide range of hardware and different operating systems, is just how you achieve this.
Puppet code is declarative, so you define the final state you want your plans to be in instead of the steps necessary to get there. Putting these systems in that state and maintaining them there is then managed using Puppet. Puppet accomplishes this via a Puppet agent and a Puppet primary server. The server containing the code that specifies your intended state is the puppet primary server.
2. Docker
The continuous phases of the DevOps environment include development, integration, testing, deployment, and monitoring. The Continuous Deployment step of the DevOps ecosystem uses Docker, which is essential to the ecosystem. Developers control what is inside a container with Docker (application, service, and dependencies to frameworks and components) and how the containers and services interact to form an application composed of several services.
3. Jenkins
The name of a DevOps integration tool is Jenkins. Jenkins is different from continuous integration as it is designed for internal use along with plugin additions. Jenkins is a free and open-source Java-based CI server that may run on Windows, mac, and different Unix-based OS. Jenkins can be established on cloud-based platforms as well.
Jenkins is a crucial tool as it supports CI and CD, two essential DevOps concepts. The roughly 1,500 plugins available to enable integration points for providing custom functionality during software development make Jenkins compatible with most CI/CD integration tools and services.
4. Bamboo
Continuous Integration is carried out by using the automation server Bamboo. This tool, developed by Atlassian in 2007, enables programmers to create automatically, document, integrate, test, and get an app ready for distribution. It allows developers to use various tools, a simple graphical user interface, and CI/CD approaches.
With Bamboo, you can guarantee high quality and status, have complete visibility into the release implementation, and spend the most time producing code. Furthermore, it offers pre-built Git branch workflows, automated merging, powerful build agent management, and built-in deployment support. The DevOps Foundation Certification Course is a great place to learn about the different uses of powerful DevOps automation tools like Bamboo.
5. Terraform
HashiCorp's Terraform is an open-source DevOps solution that enables you to construct, maintain, and describe infrastructure using language understandable to humans. Declarative programming and Terraform simplify automating and administering your organization's platform's infrastructure and services.
Terraform offers developers a safe, effective environment to build and modify infrastructure. Terraform provides a single procedure for all clouds, which makes it ideal for multi-cloud deployments.
6. Ansible
Ansible is a cross-platform, open-source resource provisioning automation tool that DevOps professionals frequently utilize to accelerate the delivery of software development using an "infrastructure as code" strategy. The build automation tools in DevOps are widely used, and Ansible is one of them. Ansible makes DevOps simpler by automating the integration of internally created applications into your production systems. Ansible is the most well-liked DevOps tool for orchestrating, configuring, automating and managing IT infrastructure.
7. Chef
Chef is an open-source cloud deployment and configuration management tool. Anyone can use it to organize servers, whether they are in a departmental data center or the cloud. Chef enables DevOps to spin off dozens or hundreds of server instances relatively short time, saving system administrators from having to worry about administration software designed for single, stand-alone servers.
8. Vagrant
A vagrant is a versatile tool that improves normal development by making it simple to test out DevOps workflow concepts. Without a thorough knowledge of DevOps, infrastructure, servers, or configuration-management devices, you can decouple your software code from your infrastructure.
9. Git
Git is a DevOps tool for managing source code. It is a version of a control system that can efficiently manage little to massive projects. Git is a tool in DevOps that is used to make some changes to the source code, allowing many engineers to engage in inconsistent development.
Since it is interoperable with most engagements, along with SSH, HTTP, and FTP, the Git DevOps tool is easy to use. In contrast to the majority of centered version control systems, it offers the best benefit for inconsistent shared-repository development projects. This makes it a good value for software that is mission critical.
10. Kubernetes
The most well-known open-source container orchestration technology, Kubernetes, automates containerized applications' management, deployment, scaling, networking, and reliability. Kubernetes divides the compartments that make up an application into units for simple sorting and discovery.
Building, implementing, and growing enterprise-grade DevOps pipelines is made possible by Kubernetes' broad range of capabilities and capabilities. Teams can also use it to automate the manual processes related to orchestration. This kind of automation would benefit any organization wanting to boost performance and productivity.
11. Nagios
In a DevOps culture, Nagios monitors systems, applications, services, and business processes, among other things. When a failure occurs, Nagios can notify technical personnel of the issue, enabling them to start remediation procedures before outages impact the company's operations, end users, or clients. It provides a centralized picture of the complete IT infrastructure under observation. This utility offers detailed status data obtainable via a web interface. Furthermore, it enables rapid infrastructure outage identification.
12. QuerySurge
With full DevOps capability for regular screening, Through QuerySurge, data changes, such as database migrations or comprehensive data warehouse assessments, are guaranteed to function as anticipated during development and related releases.
By analyzing and rapidly identifying up to 100% of all data differences, QuerySurge ensures that the data taken from sources is preserved in the target systems.
13. Buddy
Buddy is low-friction automation software that assists QA, design, and development teams with DevOps.
14. Gradle
An automation tool for building that supports multi-language development is called Gradle. It is a handy DevOps tool for those wishing to develop, test, and deploy software across several platforms. Gradle provides a versatile build architecture that may help developers at every phase of the development process, from code generation and packaging to online publication of the finished product. With Java, C/C++, and Groovy, Gradle is compatible. Furthermore, Google favors using it to create Android applications.
15. Raygun
With increased accuracy and speed, Raygun aids the development team in finding and recreating the problems that affect end users. Less than 1% of customers report having come across a software issue. By identifying these errors, Raygun assists you in looking after your consumers and stopping further software issues.
16. PagerDuty
Engineers now have more responsibility and ownership because of DevOps and service ownership. PagerDuty keeps you linked to your code as it runs in the real world, using machine learning to filter out noise, and draws you in when it counts.
17. Ganglia
Large clusters can use Ganglia as a graphing and monitoring tool. It can compile data into practical overview displays. The word "ganglia" is the plural version of the anatomical term "ganglion," a group of nerve cells. Based on the comparison, your cluster's sensory nerve cell network might be represented by your ganglia. The graphs in Ganglia will resemble those in Munin since both employ RRDs for database storage and charting. Reusing code is a good thing! You can learn more about tools like Ganglia from the KnowledgeHut DevOps Tools Training program.
18. OverOps
OverOps is a DevOps tool that alerts the team of a server crash and provides the root cause of a fault. It swiftly pinpoints when and why code malfunctions in actual use. Its primary task is to send the source code when production code breaks are found.
19. Splunk
Real-time DevOps monitoring can improve the delivery of applications. Thanks to Splunk software, you can deliver better apps faster with more business impact. Splunk provides real insights across all phases of the delivery life cycle, as opposed to competing solutions focusing on single-release components.
20. Snort
A DevOps security tool is Snort. Snort is an open-source intrusion prevention system that logs packets and analyzes traffic in real time. The most extensively used intrusion prevention system in the world, Snort, counts more than 500,000 registered members and more than 5 million downloads.
DevOps automation tools have some key features which make them very useful. Here we will discuss the key elements of automation tools used in DevOps.
1. CI/CD
CI/CD is a technique for frequently providing applications to clients by creating automation for the different app development steps. Continuous integration, delivery, and deployment are the three core CI/CD concepts. CI/CD solves the issues various teams may experience when combining new code.
In particular, CI/CD brings continuous monitoring and continual automation throughout the whole lifespan of an app, from the testing and integration phases to the delivery and deployment stages. The different teams collaborate agilely using a DevOps or site reliability engineering (SRE) strategy. These interconnected processes are called a "CI/CD pipeline."
2. Performance Monitoring
The technique of process monitoring everything, from strategy to development, integration to testing, and deployment to operations, is known as DevOps. It provides a complete, up-to-the-minute view of the condition of the infrastructure, services, and applications in use. The most critical application and service monitoring elements are real-time streaming, historical replay, and visualization.
Teams can react promptly and automatically to changes in the client experience thanks to DevOps monitoring. Additionally, it allows developers to switch back to earlier stages of development, lowering the number of failed production improvements. More excellent software instrumentation can identify and resolve issues manually or automatically, depending on the situation.
3. Reporting System
DevOps automation solutions enable software developers to streamline their development lifecycle by automating the application deployment to the server. The automating DevOps automation testing tools also serve as a sound reporting system making it easier for engineers to analyze their work.
There are many DevOps build automation tools available. However, how will you choose the ideal automation tool for you? Here we talk about the different criteria for comparing the DevOps automation tools.
1. User Interface (UI)
The point of human-computer interaction and communication in a device is the user interface (UI). This can include desktop displays, keyboards, mice, and other devices. It also refers to how a user engages with any website and application. Using the DevOps Pipeline UI, visualize interactions and outcomes across a pipeline execution.
2. Usability
The different teams aren’t any longer troubled under the DevOps approach. Quality assurance along with security teams might also interact more closely with the development and operations team throughout the lifecycle of an application under specific DevOps models.
DevOps use a technology stack and tooling to operate and develop applications fast and effectively. Using release automation tools in DevOps also allows the engineers and developers to independently complete tasks that previously demanded assistance from different teams, further boosting a team's velocity. This increases the usability of the platform.
3. Integrations
It's beneficial to think of DevOps as a specific collection of skills that can be found in either a person or a group of people.
Some businesses create a complete DevOps team to support numerous development teams. Scrum teams can queue jobs with the DevOps team using a ticketing system they can manage. Comparing this strategy to having a separate DevOps team member has various benefits, such as:
- Increases the use of the DevOps skill set because the needs of a development project for DevOps often arise at the start and conclusion of the project and are less essential in the middle.
- Improves overall organizational DevOps knowledge. As with any function, abilities dramatically increase with increased usage and a wider variety of experiences.
- Promotes the growth of best practices and establishes standards for product delivery.
- It provides the development team with more time to devote to development.
4. Cost vs. Value
Collaboration is the most important value when examining the DevOps universal core values. DevOps concentrates on bridging the gap between various teams and developing a cooperative atmosphere where all teams cooperate to advance the product. For what they cost, the DevOps automation tools offer good value.
Conclusion
The automation tools used in DevOps each has their function. When choosing the correct automation tool for yourself, ensure you understand what you need and what the tool offers. The best automation tools for DevOps have been listed above.
