List of DevOps Tools Used In 2024

DevOps Tools help the process to be automated. It emphasizes coordination, product management cooperation, software creation, and technical operations. DevOps tools can automate key software development processes for app development teams.

Table of Contents

List of DevOps Tools

What is DevOps?

DevOps is a multitude of things: a work community, tool selection, and a selection of best practices. This combination of elements allows developers and IT professionals to achieve their business technology goals safely and cheaply. Your company can quickly build an app when delivering services more efficiently and consistently by integrating creation and operation.

What do you mean by DevOps Tools?

DevOps Tools help the process to be automated. It emphasizes coordination, product management cooperation, software creation, and technical operations.

DevOps tools can automate key software development processes for app development teams. Automation has a positive influence on quality applications that reach the market more quickly. DevOps teams must be ready to cooperate with cloud service providers such as AWS, of which we are a partner. The application development phase requires a correct AWS configuration.

A strong emphasis on safety and quality assurance ( QA) is a standard best practice. Therefore, preferably, you want your developers and IT members to know about app safety and quality assurance. You will create a better workflow by incorporation these two processes into your operational practice.

Below is a list of the Top DevOps Toolset and its features.

What is Kubernetes?


The container orchestration functionality of Kubernetes fills the gap between IT operations and development by seamlessly sharing the software and its dependencies among the various environments with a collaborative DevOps environment.

Kubernetes has been a strong actor in DevOps, concentrating more on functionality and bugs and time-consuming activities. Better apps can be provided with a smooth workflow from DevOps.

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What are the features of Kubernetes?

● Kubernetes can run containers on various public clouds, virtual machines, and infrastructures as an open-source platform. It is incredibly scalable and functional due to its compatibility with most platforms.

● Kubernetes support most programs and systems.

● Automatic Packaging of Ressource

● Control for Container Deployment

● Bridge to OperationsEXPLORE COURSEDevOps Engineering Master Program.

● Automatic rolling and rolling back

● Self-healing and wellbeing checks

● Control of Stable Settings

● Load balancing and operation exploration

● A storage device or container may be installed on different hosts automatically.

● Real-time automation of services and applications

● Kubernetes lets you create your cluster on the cloud, on-site, or in your data center with a mix of virtual equipment to fit your needs.

● Kubernetes workflow supports EBS, Google Cloud Network, persistent drives, and other storage resources for Amazon web services.

● Kubernetes facilitates several tasks: stateless, extensive, and data processing.

● Without any distinction between applications and services, Kubernetes provides full support of application styles, application frames, and language.

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What is Ansible?


● Kubernetes can run containers on various public clouds, virtual machines, and infrastructures as an open-source platform. It is incredibly scalable and functional due to its compatibility with most platforms.

● Kubernetes support most programs and systems.

● Automatic Packaging of Ressource

● Control for Container Deployment

● Bridge to OperationsEXPLORE COURSEDevOps Engineering Master Program.

● Automatic rolling and rolling back

● Self-healing and wellbeing checks

● Control of Stable Settings

● Load balancing and operation exploration

● A storage device or container may be installed on different hosts automatically.

● Real-time automation of services and applications

● Kubernetes lets you create your cluster on the cloud, on-site, or in your data center with a mix of virtual equipment to fit your needs.

● Kubernetes workflow supports EBS, Google Cloud Network, persistent drives, and other storage resources for Amazon web services.

● Kubernetes facilitates several tasks: stateless, extensive, and data processing.

● Without any distinction between applications and services, Kubernetes provides full support of application styles, application frames, and language.

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What is Docker?


Docker is a high-end DevOps tool for building, shipping, and running multi-system distributed applications. It also helps to assemble apps from components rapidly and is usually ideal for container management.

What are the features of Docker?

● It makes the system more convenient, as well as better and faster.

● It’s skyrocketing efficiency.

● Provides containers that are used to run the program in an enclosed room.

● It guides the access requests to an active container for published ports on the available nodes. This feature allows a connection even if the node is not running a job.

● It allows secrets to be saved in the swarm itself.

What is Jenkins?


Jenkins is a DevOps tool used to track repetitive tasks execution. Jenkins is a continuous integration software. The Jenkins server where the central build is being introduced will be built. It helps to integrate the changes of the project more effectively by identifying the issues quickly.

What are the features of Jenkins?

● Jenkins increases the size of automation.

● The Web interface allows it to be quickly set up and configured.

● It can delegate tasks on several devices, increasing competition.

● It facilitates continuous integration and continuing implementation.

● It offers 400 plugins to support the development and testing of any project digitally.

● It needs little maintenance and has an integrated GUI tool for quick maintenance.

What is RabitMQ?


  • The RabbitMQ service resides in the same network as the connected action as a separate container. This covers other similar programs. Only when the service is fully initialized, Buddy operates key commands. It’s not essential to verify the availability of RabbitMQ alone. After the action is done, the service is discontinued. It allows cacheable data to be produced and stored between action executions by the service.

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What are the features of RabitMQ?

● The new tag (versions pulled out of Docker Hub) version setting included.

● The setting of hostname to link activity with other services

● The port (5672) is set and can not be changed.

● Set the default Rabbitmq Start command to overwrite the CMD jar. It allows the Cassandra Docker image to use advanced settings.

● Database cache between flag executions. If no new or clean Cassandra instance is appropriate, use this option to speed up your executions.

Benefits of DevOps kits?

In addition to the above-mentioned cultural change – from an organization that involves software developers and infrastructure specialists to welcomes their partnership – organizations need to consider a range of basic strategies and resources essential to DevOps. Below are three of the most important (though certainly not the only) activities of this kind:

Automation: DevOps plays a vital role in raising productivity by automating several relatively slow, onerous processes in software creation and infrastructure maintenance. One particular example that Amazon cites is the practice of automatically delivering relatively small but regular software updates. This activity reduces the burden of system administrators who would otherwise have to make these changes manually. As Amazon says, this approach often benefits from de-risking software deployment by allowing administrators to detect and address bugs that might occur more quickly. Automation is the foundation of DevOps and is essential for the other DevOps activities discussed below.

Continuous integration: DevOps includes close cooperation among engineers and whole teams on a basic level. Continuous integration refers to engineering in a central location that shares and mixes code. Amazon says, “Through the past, a team of developers could work isolated for a prolonged period and try only to integrate their modifications … once they’re finished.” Continuing integration helps engineers collaborate more effectively and avoid the bottlenecks associated with creating and integrating their code.

Continuous delivery: Continuous delivery refers to automated delivery and execution of improvements to software items as they are. Continuous delivery means that continuous delivery is allowed by continuous integration since code updates can only effectively be pushed to the whole system if it is already integral to the entire system. Continuous delivery often relies on automation. An example of continuous delivery can also be the example above mentioned sending tiny, regular device updates. Continuous delivery helps companies introduce changes and innovations rapidly and allow engineers to spend their attention on other complicated matters more effectively.

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List of DevOps Tools

 1. Git

Git is a highly prevalent DevOps utility that enjoys extensive adoption throughout the software industry. Open-source contributors and remote teams enjoy this distributed SCM (source code management) tool. Git enables you to monitor the development process in real-time. It is possible to preserve multiple iterations of one’s source code and revert to an earlier version if needed. It also facilitates experimentation by permitting the creation of distinct branches from which new features can be merged only when they are complete.


Git is inherently a command-line application; however, an alternative client, the GUI client, is available for installation. This client provides a graphical user interface to manage your source code. Several source code editors, including Visual Studio Code, include an integrated Git editor.

Additionally, you must host your source code in repositories that enable team members to submit modifications for Git to be integrated with your DevOps workflow.The three most popular services for hosting Git repositories online are Github, Gitlab, and Bitbucket.  One can manage releases, monitor and discuss issues on these platforms, and host public and private repositories. Further, they offer supplementary DevOps functionalities, including integrated code review, auditing, collaboration tools, security, and continuous development capabilities.


 2. Mercurial

Supporting both Unix and Windows, Mercurial is a distributed revision control utility that is available for free use. It is written in Python. In contrast to Git, it is generally regarded as a viable alternative for novice developers due to its straightforward command-line interface and less intricate structure and syntax. Mercurial monitors change to ensure the team utilizes the most recent code version.

Because each user has a complete copy of the repository on their own workstation, the distributed model of Mercurial is commonly regarded as a more flexible and expedient working environment. Identified branching is implemented, wherein each branch represents a distinct development course.

Additionally, Mercurial exhibits commendable scalability in managing sizable codebases and features a module architecture that empowers developers to make customizations at their discretion. Prominent hosting services, such as Google Code, GitHub, and Bitbucket, are compatible with it.

In addition to implementing strong security measures, Mercurial facilitates authorization and authentication to regulate codebase access. In addition, it encrypts data both in transit and at rest to guarantee the confidentiality of code and other information.


 3. Apache SVN

Apache SVN or Subversion is an instrument for organizing source code and tracking changes. Apache SVN is a good tool for managing big code bases and many versions of code simultaneously. This DevOps tool is made to work with other tools, especially Apache goods like Maven.

Because SVN employs a centralized repository strategy, everyone is working on the same version. This decreases the possibility of conflicts or version control issues. With the branching model, separating parts of the codebase for testing or working on specific features is simple. The modifications can be integrated into the source once they’re ready.

Versioning in SVN keeps track of changes to source code over time, so teams can quickly go back to older versions if needed. In DevOps teams, where work is done quickly, this is especially helpful because problems can arise that need to be fixed immediately. SVN also lets teams manage who can view the codebase so that only people who are allowed to can make changes or see private data. For DevOps teams, security is essential, and it’s a part of the whole DevOps loop.


4. Jira

Jira is a popular project management and issue-tracking tool. It’s made by Atlassian, a large IT firm that also produces Confluence, Bitbucket, Trello, and Statuspage, among other well-known apps. Jira is available as a SaaS app or an on-premises app.


Even though many programmers still consider Jira primarily as a bug-tracking tool, it has since expanded to serve many other purposes. Its intuitive design lets you track the development of multiple projects at once, make pull requests, see commits, control branching and merging, manage releases and dependencies, and more.


Project management tools later joined Jira’s issue-tracking features. Jira includes Scrum and Kanban boards (two rival implementations of Agile), roadmaps, and sophisticated reporting capabilities because it is geared towards Agile software development (i.e., approaches centered around iterative development).

Jira’s sophisticated automation engine also provides a simple drag-and-drop interface for creating automation rules. Not only can you set up automated processes with Jira, but you can also integrate external services like Bitbucket, GitHub, and Microsoft Teams. As a vital part of the Atlassian Open DevOps suite of cloud products (more on that later), Jira’s integrations are integral to its value.


 5. SonarQube

An open-source code review tool available in 27 computer languages is called SonarQube on GitHub. It’s perfect for looking at the source code of programs written in multiple languages. It checks your code base instantly against thousands of static code analysis rules, which helps you focus on code quality and security throughout the development process.

SonarQube’s most notable trait is its quality gates. SonarQube checks your source code for bugs, security holes, bad code smells, lack of coverage, and duplicates. It then decides if it passes the “quality gate” and is ready to be shared with the public. You can also look at pull requests with quality gates to quickly decide whether you want to join them.

SonarQube not only checks the general health of the code but it also points out any new problems. In addition, it gives you valuable visualizations that show you how your code base is doing as a whole. It can be used in the cloud or on-premises, and it works with many DevOps tools, like GitHub, GitLab, Jenkins, Azure Pipelines, Bitbucket, and more. SonarQube can be set up with minimal setup.

It is also considered one of the best DevSecOps tools because SonarQube improves security by adding continuous code review to your DevOps job.


 6. Gradle

DevOps stacks require a dependable build tool. Apache Ant and Maven were the market leaders for many years, but Gradle’s prominence has increased consistently since its introduction in 2009. Programming languages supported by the adaptable Gradle include Python, C++, Java, and more. Prominent IDEs (Integrated Development Environments), including Netbeans, Eclipse, and IntelliJ IDEA, also provide support. Google also chose Gradle as the official development environment for Android Studio.

While Maven and Ant utilize XML for configuration, Gradle describes builds using a Groovy-based DSL (domain-specific language).To allow developers to write build scripts in Kotlin, the Gradle team added a Kotlin-based DSL to the default DSL. Since Gradle supports multiple repository formats, including Maven-compatible artifact repositories, those familiar with Maven will find dependency management intuitive; additionally, Ant can be imported into Gradle.

Gradle enables incremental builds, which examine whether inputs and outputs have been modified since the previous execution. This functionality significantly reduces the duration of the compilation process; Gradle’s performance metrics indicate that it operates up to one hundred times quicker than Maven.Gradle’s daemon (background process) and build cache partly enable gradual performance improvement. The build cache is responsible for reusing task outputs, whereas the Gradle Daemon maintains build information in a cached state between builds.

In summary, Gradle facilitates expedited distribution and offers various configuration choices.

 7. Redhat Openshift

An open-source Kubernetes platform called Redhat Openshift gives you a full set of tools for deploying, scaling, and controlling containerized apps. It’s based on Kubernetes and is meant to help teams make their processes for developing and deploying apps more efficient.


You can install OpenShift in several ways, such as on-premises, in the public cloud, or a hybrid cloud.It also includes several developer tools, such as code editors, integrated development environments (IDEs), and continuous integration and delivery (CI/CD) tools, to round out your development toolkit.

OpenShift puts security first as a feature. It has encryption, network security policies, safe access controls, and container images approved by the government and industry security standards.

The automation choices in OpenShift cover managing, deploying, and scaling apps. OpenShift can also be used for tracking and logging.



The Linux containerization infrastructure LXC (Linux containers)/LXD (Linux Container Daemon) offers a streamlined substitute for virtual machines. It enables the creation and management of Linux containers, each with its own network interfaces and file system.

LXD provides a command-line client and a REST API in addition to live migration, snapshots, and clustering capabilities, constituting a higher-level interface for container management. The LXC runtime for containers is a low-level container runtime that enables command-line container creation and management. The program lets users change containers’ CPU, memory, and network access settings and supports several Linux distributions.

LXC/LXD exhibits high compatibility with various use cases, encompassing cloud computing, container-based deployments, and development and testing. It offers a streamlined and effective method for establishing isolated environments, and its adaptable and customizable design permits integration into various infrastructure configurations and workflows.


 9. Apache Mesos

Developers often turn to Apache Mesos, an open-source distributed systems kernel, to create applications that can tolerate failure. Mesos provides an abstraction layer that enables teams to manage data center or cloud infrastructure resources such as CPU, memory, and storage as a single pool.

Large-scale production deployments frequently employ Mesos. It offers a uniform API for executing distributed programs and is built to be compatible with other distributed systems. Among the notable features are support for custom schedulers, automated failover, and dynamic resource allocation.

Parallel execution of containerized and non-containerized apps is possible on the same Mesos cluster.Other than Apache Aurora, Kubernetes, and Docker, Mesos supports several container orchestration frameworks.  Mesos’s scalable and resilient architecture guarantees continuous service with minimal downtime.


 10. Bamboo

The CI/CD server solution from Atlassian, Bamboo, is comparable to Jenkins in terms of capabilities. These well-known DevOps technologies let you automate the entire delivery pipeline—from builds to deployment. Jenkins is free to use, but Bamboo has an expense attached to it. Is it, therefore, worthwhile to select proprietary software over a free substitute? Your goals and money will determine this.

There are numerous pre-built features in Bamboo that you must manually configure in Jenkins. This also explains why Bamboo only offers about 190 plugins instead of Jenkins’ 1,800+. Bamboo handles many things right out of the box, so you don’t need many plugins.

Bitbucket and Jira, two more Atlassian products, integrate with Bamboo easily. Additionally, you can use the integrated test environments and procedures for Git and Mercurial branching. Bamboo can help you save a significant amount of configuration time. Additionally, it has a more user-friendly interface with valuable features like auto-completion and tooltips.

11. Amazon ECS

Amazon Elastic Container utility (ECS) is a fully managed deployment and management utility for containers offered by AWS. Its marketing message emphasizes the ease with which containerized applications can be managed and deployed on a scalable, secure, and highly available infrastructure.

Utilizing ECS is simple and accessible.It provides a unified platform for container deployment by integrating with other AWS services like ELB and EBS and offering a web-based management console and command-line tools.

ECS scales containers up or down autonomously in response to demand, ensuring your applications remain accessible and responsive. It incorporates health monitoring and load balancing capabilities to ensure applications can manage heavy traffic loads. Blue-green deployments and continuous deployments are both viable deployment options.

ECS uses IAM policies and encryption to protect resource and container access. Integrating ECS with AWS security tools, including Identity and Access Management (IAM), enables role-based access control (RBAC) and adherence to security standards, including HIPAA and PCI-DSS.

 12. Octopus Deploy

Octopus Deploy is a cutting-edge software for managing releases and deployments. You may use CI/CD servers like Jenkins or Bamboo to automatically do an Octopus deployment after each build, streamlining your deployment process across all environments and releases. After that, Octopus releases the updated version to testing, production, staging, and development environments.

To distribute your program with Octopus Deploy, you can create a ZIP, tar.gz, JAR/WAR, or NuGet file. You can build your own deployment process that Octopus will automatically conduct. If you’re stuck for ideas, browse the almost 500 pre-built templates of common deployment workflows included in Octopus’s comprehensive deploy library.

With Octopus Deploy, you can effortlessly deploy your software to the cloud, as it supports various cloud providers. A program called “runbooks” can automate standard emergency operations procedures, such as website failover and restoration. Our non-technical team members can execute runbooks since they have all the permissions required by various parts of your infrastructure.

If your deployment procedure spans many environments, or “deployment targets,” as Octopus calls them, investing in a deployment management tool like Octopus Deploy is probably a good idea.

 13. Circle CI

CircleCI is a framework for automated continuous delivery and integration.  This cloud-based service can use several languages and frameworks, such as Ruby, Python, Java, Node.js, and Go. It also works with email and chat apps like Slack to send you instant alerts on build success or failure.

CircleCI is a continuous integration service that helps teams set up automated pipelines to build, test, and deploy code whenever a new commit is made to a repository. The configuration file defining these pipelines is version-controlled alongside the codebase, facilitating teamwork and reusability of builds. In addition to seeing logs and test results, you may check on the progress of your builds.

CircleCI’s scalability is a significant selling point. It can manage builds from single-developer side projects to enterprise-level apps with intricate rollout procedures. It is compatible with numerous DevOps tools, including Docker, Kubernetes, and Amazon Web Services, to further facilitate application deployment.

 14. Puppet Enterprise

The Puppet Enterprise configuration management platform is cross-platform. It enables code-based infrastructure management. Automating infrastructure administration can enhance software delivery in speed and security. Additionally, for smaller initiatives, Puppet offers an open-source tool for developers.

If one is managing a more extensive infrastructure, Puppet Enterprise’s supplementary functionalities may prove advantageous, including:

  • Reports in real-time
  • Access control based on roles
  • Management of nodes

You may oversee numerous teams and hundreds of resources using Puppet Enterprise. It recognizes relationships in your infrastructure automatically. It intelligently handles failures and manages dependencies.If a configuration goes wrong, it also avoids all dependent configurations. Puppet interfaces with numerous well-known DevOps technologies and includes over 6,700 modules.

 15. Progress Chef

Progress Chef, also called ‘Chef,’ is a widely utilized open-source configuration management application that streamlines apparatus and application deployment and administration. It facilitates code-based infrastructure management for teams, allowing for consistent and reproducible configuration, deployment, and definition.

Chef offers an easy-to-use declarative language for describing infrastructure, making it possible to configure specific parts. This facilitates the automation and management of deployments in numerous environments.

Chef is also complemented by a robust ecosystem of “cookbooks” maintained by the community and containing pre-built recipes for standard infrastructure components like load balancers, databases, and web servers. This enables novice users to configure systems without reconstructing the entire codebase. Chef can be utilized to administer infrastructures ranging in size from one to thousands of servers due to its scalability and adaptability.

Chef offers extensive reporting and analytics functionalities, which empower users to continuously monitor the performance and status of their infrastructure and applications. Additionally, it provides robust visualization capabilities that facilitate the rapid identification and diagnosis of issues.

 16. SysAid

SysAid is a cloud-based IT service management (ITSM) system that includes several management features, including asset management, incident management, and change management.

The configuration management tool from SysAid can streamline and automate the monitoring and administration of IT assets. Offering a solitary point of reference for all assets and configurations enables teams to detect and rectify problems promptly. You can easily monitor your organization’s hardware and software IT assets using SysAid. Additionally, relationships between assets can be defined and managed, allowing one to observe the consequences of modifications.

With SysAid’s powerful search functionality, you can quickly discover and retrieve any asset or configuration item.Using a range of reporting and analytics functions, your team may measure and track key performance indicators (KPIs) and pinpoint areas for development.  Integration with other ITSM modules is also possible. SysAid will automatically update the asset record, for instance, if a configuration item is linked to a change request or an incident.

Additionally, SysAid offers an assortment of automation functionalities that optimize tedious duties and workflows. For instance, it can automate updating asset records upon adding a new device to the network or change requests in response to modifications made to a configuration item.

 17. Azure DevOps

Azure DevOps, formerly known as Visual Studio Team System or VSTS, is a Microsoft-developed integrated DevOps platform.  It facilitates the management of the complete DevOps lifecycle through a unified interface. Azure DevOps Services is a SaaS (Software-as-a-Service) application that operates in the cloud. In contrast, Azure DevOps Server is a self-hosted on-premises variant of the same tool within an individual data center.

The DevOps solution from Microsoft comprises a suite of tools, each designed to cater to a distinct workflow phase. Azure Boards facilitates project management and planning, Azure Pipeline is a CI/CD tool, Azure Repos comprises Git repos hosted in the cloud, Azure Test Plans is a toolkit for testing, and Azure Artefacts enable the creation, administration, and deployment of packages.

However, you are not required to utilize every tool Azure DevOps Services offers; you can subscribe to each tool separately. You can find over a thousand Azure DevOps extensions in the Visual Studio Marketplace if you require additional functionality, including incident reporting, analytics, integrations, or visualizations.

 18. AWS DevOps

When managing your software’s complete development lifecycle, AWS DevOps has you covered with its suite of integrated DevOps tools. With AWS Outposts, you may deploy any part of the AWS architecture on your own in-house server, even though the service is typically used in the cloud.

Azure DevOps Services is a Platform-as-a-Service (PaaS) solution, whereas AWS is an Infrastructure-as-a-Service (IaaS) solution. Therefore, it is not decoupled from the underlying infrastructure. Azure DevOps Services packages can be deployed to AWS and vice versa, but not the other way around. The AWS infrastructure, such as EC2 and S3, is the only place where deployments may be made from AWS DevOps.

Included in the AWS DevOps toolbox are the AWS CodePipeline continuous integration and continuous delivery service, the AWS CodeBuild fully managed build tool, the AWS CodeDeploy deployment automation tool, the AWS CodeStar DevOps project management platform, and more. In conclusion, AWS DevOps is the most promising DevOps platform for existing and prospective AWS customers.

 19. Terraform

Terraform is an open-source infrastructure-as-code (IaC) tool that makes it easier to provide and manage resources across various cloud platforms and services. Through code, Terraform enables programmers to define and configure infrastructure resources, including databases, load balancers, virtual machines, and containers.

Terraform defines the intended state of infrastructure resources using a declarative syntax. By ensuring that the physical state of your infrastructure corresponds to the state you specify in the code, Terraform enables you to orchestrate the creation, modification, and deletion of resources more dependably and reasonably.

Terraform offers all-inclusive support for several cloud providers, including AWS, Azure, and GCP. This support spans infrastructure resources across various cloud platforms and services. This feature enables teams to administer infrastructure resources from various cloud providers using a unified and consistent collection of tools and code.

In addition to enabling scalable infrastructure management, Terraform enables the creation and administration of resources via modules, which are reusable code elements applicable to multiple projects and teams. This facilitates the administration of expansive and intricate infrastructure environments, as programmers can utilize pre-configured modules to circumvent redundant code and exertion. Plan-and-apply is another popular Terraform procedure that allows developers to test and preview changes before applying them.

Many organizations seeking to automate and streamline their infrastructure administration processes are selecting Terraform.

 20. Google Cloud Build

You can build, test, and publish apps on Google Cloud Platform or any other cloud provider with Google Cloud Build. It is a fully managed CI/CD platform. It works with many programming languages and tools and can connect to common source code servers like GitHub and Bitbucket. You can automate your whole CI/CD process with Cloud Build. This covers writing, testing, and implementing your code in any setting.

Google Cloud Build uses a formal YAML-based “cloud build. yaml” file that contains a step-by-step list of the build process. It works with many build platforms, such as Docker, and lets you make your builds unique by adding your own build steps and plugins. It has advanced features like build triggers, allowing you to begin builds automatically when certain things happen in your source code base.

You don’t have to worry about infrastructure or handling build agents with Google Cloud Build because it takes care of everything.Furthermore, you pay for what you use. It also works with other Google Cloud Platform services, like Google App Engine and Google Kubernetes Engine, which makes it simple to put your apps into production settings.


Opsgenie is a cloud-based alerting and event management application that facilitates efficient team responses. It’s a hub where notifications from various monitoring and logging systems may be gathered, analyzed, and dealt with.

Alerts can be routed to the appropriate departments in Opsgenie depending on parameters such as severity, the affected system or application, and more. Its incident timeline, which includes warnings, notes, and status changes, facilitates a more rapid response time for organizations in the event of an occurrence. Opsgenie also offers reports on alarms and incidents and metrics like mean time to acknowledge (MTTA) and mean time to resolution (MTTR) to facilitate data understanding.

Opsgenie is compatible with a wide variety of cloud services, including AWS, Azure, and Google Cloud Platform, as well as widely used logging and monitoring tools like Nagios and Datadog.

22. Nagios

Nagios is a widely used DevOps monitoring tool that is both free and open source. It facilitates infrastructure monitoring to locate and fix issues. Nagios allows you to log incidents, downtime, and errors.

Nagios’ graphs and reports help monitor trends. In this manner, you can anticipate errors and discover security concerns before they occur. However, Nagios’s large plugin ecosystem stands out from other DevOps tools for infrastructure monitoring.

There are four free monitoring tools available from Nagios: Nagios Core is the command line program; Nagios XI is the web-based graphical user interface and monitoring wizard; Nagios Log Server allows you to search log data and set up alerts about potential risks, and Nagios Fusion lets you monitor several networks simultaneously.

Nagios is an open-source monitoring program. However, it requires manual setup. If you’d rather have access to the Nagios team’s assistance and knowledge, subscribe to one of their support plans.

 23. Firebase Crashlytics

Google made Firebase a way for people to create phone or web apps. The Firebase suite comes with a free crash reporting tool called Crashlytics. Firebase products let you watch how users enjoy your apps, add new features, and keep user-centered development going.

Crashlytics helps developers quickly figure out what’s wrong with their apps and fix it by giving them real-time crash reports, data, and insights. It can easily group similar crashes and let developers know when a new problem is found. This way, the problem can be fixed before it affects more users. Crash reports have information about the device, the stack trace, and other details that make it easier for writers to figure out what went wrong.

Firebase Crashlytics is made to work perfectly with Firebase, Google’s tool for creating mobile apps. It lets you integrate with many things, like native SDKs for iOS and Android and well-known mobile development tools like React Native and Flutter. Firebase has a lot of services that all work well with each other and make app creation easier overall.However, as a result, error tracking is only one of their numerous activities. Crashlytics may not be as feature-rich as you would want if you search for an error-monitoring solution.

 24. Raygun

Raygun is a comprehensive error monitoring and performance solution that provides real-time, actionable insights into the quality of your mobile and web applications. Among Raygun’s range of monitoring solutions, error and application performance monitoring (APM) stand out. By capturing performance metrics, including response time, latency, and throughput, Raygun APM allows teams to identify constraints and detect performance issues proactively.

Raygun facilitates the identification of performance issues’ underlying causes by providing comprehensive insights into transaction traces and application behavior. As a result, DevOps teams can expedite problem diagnosis and decrease mean time to resolution (MTTR).

The instrument from Raygun is non-intrusive and “plug-and-play”; it utilizes language-specific tracers with minimal overhead. The tool’s core functionality is an intuitive flame chart depicting a request’s complete lifecycle, including the threads it creates, the methods it invokes, and the external service and database queries it executes. In addition, it includes functionalities for managing issues, such as automated prioritization, task collaboration, task delegation to team members, and the configuration of automatic responses to triggers. Facilitating cooperation between the operations and development teams and identifying, managing, and optimizing performance issues provides comprehensive issue management.

 25. Phantom

Phantom is a phrase used in the DevOps community to denote the act of automating IT infrastructure provisioning and maintenance with the help of DevOps-related tools and practices. Phantom can give end users a way to provision and manage their own infrastructure with little to no help from the IT department. This has the potential to minimize operational expenses and speed up infrastructure deployment.

IT infrastructure, such as software, configurations, and security settings, can be managed more efficiently with Phantom’s help. This can lessen the burden of managing IT systems while enhancing their reliability and efficiency.

Due to the novelty of the idea, there is some disagreement over how to define and apply “Phantom” in the context of DevOps. Phantom, however, represents a novel approach to managing IT infrastructure and can radically alter how enterprises are run.


A free and open-source program called Vagrant can be used to set up and maintain virtual development environments. It is well-liked by developers because it is simple to use and allows for the creation and management of different development environments.Vagrant software is available for several standard operating systems, including Windows, Mac OS X, and Linux.Furthermore, it is available in various languages, including Chinese, English, Spanish, and French.

 27. Sentry

Sentry is a real-time monitoring and debugging tool used by developers for their applications. It makes it simpler to track mistakes and logs and facilitates speedier problem-solving. Sentry is compatible with all online, mobile, and desktop applications. It also integrates with Django, Rails, and Node.js, among other popular frameworks. Sentry can track the health of services and apps in a DevOps context. It can also locate performance bottlenecks and monitor codebase changes over time. Use of Sentry is free and open source.


 28. Maven

Maven is a critical DevOps instrument utilized in the construction of initiatives. In contrast to the ANT build system, Apache Maven is not merely a framework for automating code development. Additionally, it is engineered to oversee processes related to documentation, reporting, distribution, releases, and dependencies. Maven, written in the Java programming language, features project object model (POM) extensions that enable it to construct and oversee projects written in C#, Ruby, Scala, and additional languages.

Maven provides an abundance of advantages for its consumers. Automating the construction and monitoring processes ensures a standardized development methodology that promotes consistency and effectiveness. Furthermore, by providing thorough project information via high-quality documentation, this instrument is a valuable asset in advancing optimal methods. This is evident from the name Maven, which originates from the Yiddish language and translates to “accumulator of knowledge.” Ultimately, Maven streamlines the process of migrating features.

The software has extensive modules designed to optimize the development process. Integrated development environments (IDEs) such as Eclipse, JBuilder, MyEclipse, NetBeans, IntelliJ IDEA, and many more are very compatible with it.

 29. eG Enterprise

DevOps teams can benefit significantly from the eG Enterprise platform. It has powerful diagnostics and monitoring tools that can improve your application delivery. In addition, eG Enterprise lets you easily automate the production of performance reports that can be distributed throughout the organization.This allows you to identify problems earlier and take preventative action.

Applications such as web apps, middleware, databases, and cloud services can all be tracked with the help of the eG Enterprise platform. It also helps keep tabs on your containerized apps.eG, Enterprise platform users can run the platform locally or in the cloud.

 30. Travis CI

A free and open-source tool for the DevOps pipeline (CI/CD) is called Travis CI. Your development team will benefit from a smooth workflow thanks to its integration with GitHub. Travis CI is feature-rich and simple to use. But there’s less assistance available because it’s less popular than Jenkins or Bamboo.

Why you need DevOps tools?

It’s not easy to explain DevOps. It has a lot of significance. Technology experts often concentrate too much on tools and automation and not enough on cultural changes, team dynamics, and management at the center of real DevOps.

Also, a team that does not use excellent resources well. Teams need to bring their DevOps tools to their journeys with the right ideas, behaviors, and goals.

It isn’t easy to automate, though, without software. DevOps is more fantasy than the reality without automation. Tooling is also a key component of the transition. DevOps’ sections are more important than tools, but tools are essential. Consequently, it is key to performance DevOps to select the right resources.

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How does Tools Support DevOps?

DevOps triggers a change toward a means instead of an end of the program.

Only if software addresses actual human needs does so serve a purpose. To assess if a product meets its users ‘ needs, we must verify if it is prepared to pay for it.

When it does exactly this, DevOps is at its best. When uniting the team, the functional flow from check-in to delivery is streamlined and controlled. DevOps requires controls and visibility throughout the whole process to cover this thorough enhancement of flow.

DevOps tools include these hooks for designed, developed, tested, implemented, operated, and supervised applications. Also, the many elements involved need to orchestrate resources with a view of the whole operation.

More information about tooling for individual parts of the DevOps process and support for better teamwork and management are provided in the following sections.

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Quick planning 

The software lighting group met at the Snowbird ski resort in February 2001. All used radical software writing methods and experimented with them in teams. The Agile Manifesto was a product of their cooperation. It articulates that some emphasis is favoured over others during teamwork. Also, the agile development of software prefers “changing over a schedule.”

User-oriented and Iterative 

The focus is focused on iterative preparation and iterative implementation.

Applicability requires an emphasis on individuals as well as an iterative approach. It emphasizes “individuals and relationships over processes and instruments;” thus, agile teams do not operate from authority-built specifications papers. The user stories are used instead as a reference. User stories will represent an individual with a system or function. They thus placed the planners and implementers in the view of the customer.

In this sense, agile planning means providing features iteratively that resolve a true need in the user story for real users. For this reason, tools must endorse the description of the user’s history and the allocation of an iteration (or sprint to use the common term mainly in the popular agile Scrum form).

Versatile evaluation 

DevOps agile planning methods must also take account of estimation. Speed is a common indicator for both estimation and follow-up. However, it’s easy to misinterpret. Often teams view speed as a success objective or metric. For these reasons, it is not useful. Instead, it should be seen as a lag indicator that can estimate enhanced utility in a historical context. Teams estimate how much effort users will produce. You can then use your historical speed (or rate of estimation units per iteration delivery) to decide what stories you can do for greater predictability in a given timeframe. Good agile planning tools allow execution, follow-up, and accountability for the planning and eventual implementation.

Source Code Repository

With time, software evolves. Nobody involved in DevOps should be shocked by this. With software development experience, the ability to monitor history and jump to various source code versions is essential. Experienced technologists may recall a time when the version control wasn’t familiar to them. This generally meant that the source code directories were copied in different states of transition. It was difficult to grasp and difficult to handle. Such manual and ad hoc processes were typically unable to control both the past and the return to known good States. It is helpful to look at the story of developing a scratch version control system and the problems you may have in this effort.

Tech teams need to experiment and either step forward or come back quickly. You must remember where you were and correct every part of history along the way. Some modifications and not others need to be chosen.

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Build Server

Software building sounds straightforward. Sometimes that’s the case. However, there are various different settings that a construct can take. You can generate output with or without debugging symbols. Some develop optimizations and platforms for control parameters. Also, constructing the code manually will lead to the incorrect version. Stated, if your construction is not automated, you always have issues with inconsistent construction results. Many companies had difficulty deploying anything not correctly designed.

This problem can be solved by building servers.

Builds are repeatable and automatically use the code’s intended version by using software to construct a known and consistent setup. Therefore, teams can no longer visualize what they are constructing and then deploying. Moreover, after every build, build servers will carry out automatic tests.

Unending integration

Also, the construction server allows for continuous integration. For each commit that is moved into the canonical repository, a dedicated build server will activate. Any time an upgrade to the source code has been completed, it is inserted into an implementation ready for automated testing, manual testing, approval testing, and maybe even instant production deployment. Teams operating in isolation tend to have challenges when attempting to integrate. Continuous integration implies early integration, and sometimes so that problems can be dealt with as easily and efficiently as possible.

Server deployment

Computer deployments can be cumbersome and time-consuming activities.

Deployments can be automatic, however. There are various teams with different specifications and different implementation conditions. For certain teams, automatic tests are carried out, and the build is ready for production following automatic release in test environments. For some, manual gates must be cleared before deployment can begin. Deployments for Team members must, in any case, be easy, recurring, and without unfair burden. For this reason, the deployment server is open.

Deployment servers automate deployment activities to trigger deployments based on passing tests or a button press.

DevOps tools infographic

DevOps Tools Training at 3RI Technologies

3RI Technologies has been one of the finest DevOps Certification training institutes in Pune. DevOps Training in Pune at 3RI in Pune is specially built for students who want to enter the industry and work as a DevOps engineer, architect & developing business. DevOps has gained prominence in the end because it also promises market and technology advantages. The 3RI DevOps Online Training forms into several phases for students’ convenience. Our accredited DevOps expert faculty provides training for students when working on live projects and makes certain that they get perspectives on the industry. We give our students total placement assistance for the post-training DevOps. The best decision to join our DevOps class will be your entire career because it will ensure you a great and fruitful career.

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Key features of the training of DevOps with DevOps tools

● Guaranteed Support to Placement

● Assistance for preparing a resume

● Guidance for preparation of interview

● Missed sessions are recovered and helped the student to maintain their pace with the batch.

● Multiple batches are available.

● Weekend batches availability

● Undertakes live project from reputed companies for students to work on it

● Readily available course material and study materials

Final Thoughts

We hope this blog has given you a deep understanding of what DevOps is, how it works, its benefits, and the culture and practices that makeup DevOps.

To summarize, these are some of the most excellent tools businesses utilize globally to implement DevOps. Most of these tools are taught by 3RI Technologies in DevOps courses designed to fit businesses’ needs. You will have the chance to use these DevOps tools in real-world projects and case studies, and you will also get a certification recognized by the DevOps industry.

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