The Periodic Table of DevOps Tools is a comprehensive collection of DevOps tools from major tooling brands. This is a new next-level feature in the DevOps scene. The DevOps Tools Periodic Table is a dynamic and customizable resource that allows users to view the most popular DevOps tools, characterize them, and rank each tool by usage pattern and price. Using DevOps throughout the software delivery lifecycle requires multiple tools, and thus the periodic table is a handy feature for practitioners.
In this blog, we’ll take a look at some of the most popular DevOps tool categories.
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What are DevOps Tools?
DevOps tools are programs that help automate the software development process. Primarily focused on enhancing communication and collaboration between product, software, and operations management professionals. DevOps tools also help in building teams, managing conflicts and dependencies, and deploying software.
The primary goal of DevOps is to release software more frequently, automate more tasks and processes, and increase development speed and scalability.
Depending on your business needs, you may require multiple DevOps tools that communicate through integrations, extensions, automation, APIs, or other means.
Some of the best DevOps Tools are-
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What do you know about DevOps Periodic Table?
The DevOps Tools Periodic Table is a one-stop shop for all the top brands of DevOps tools to showcase their innovations. XebiaLabs released the first version of the DevOps Periodic Table V1 in July 2015. The DevOps Periodic Table has received praise and good reviews from IT professionals since its initial release. The latest version of the periodic table is V4.2.
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Categories of Periodic Tables of DevOps Tools
From the given image, you can see that the Periodic Table of DevOps Tools is divided into 17 categories.
So, let’s discuss all the categories of the DevOps Periodic Table.
- AIOps/Analytics- This is one of the important categories in the DevOps periodic table. Firstly, this category includes high-level monitoring and analysis tools for IT and DevOps teams. Secondly, they can also be applied to identify performance characteristics. Finally, they work well for monitoring events in cloud infrastructure and services.. Some of the popular DevOps tools in the analytics category are Kibana, XL impact, Datadog, Dynamics, Elastic search, New Relic, etc.
- Artifact/Package Management- The process of managing many different dependencies and artifacts for servers, applications, and developers is called package management. Artifact management is used to store, manage, and distribute compiled software in one place. This system takes less time to download references from public sources. Some popular package managers include JFrog Artificatory, Docker Hub, NuGet, Sonatype Nexus, etc.
- Cloud- In the DevOps periodic table, the cloud category represents the various cloud computing services that are used in the DevOps process. Cloud computing allows organizations to access shared computing resources such as servers, storage, databases, and other application services.
In order to effectively manage resources, businesses can use cloud tools that can be scaled up or down depending on the needs of the application. Businesses don’t need to invest in costly hardware because cloud tools allow just to pay for the computer resources they actually use.
Some examples of popular cloud tools used in DevOps include Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP).
- Collaboration- Collaboration is one of the core principles of DevOps. It enables IT units, developers, and companies to work together to solve various problems. DevOps tools are very versatile in this category, especially since every company is different and has different needs. Some collaboration tools include Trello, Stride, Remedy, Slack, Jira, and ServiceNow.
- Configuration Automation- This category is also called configuration management. DevOps tools in this category help track and manage changes to the environment in which the code is deployed. System-level changes affect all monitored servers, networks, storage, applications, and other systems. It is a systematic process of managing changes in the environment. Source code and committed changes are managed through version control and automation tools. Some of the main tools used for configuration management are Ansible, Packer, Puppet, Chef, Terraform, and SaltStack.
- Containers- Containers are a very powerful technology. They have extended the functionality of the software. A container is a standard program unit that groups code and all its dependencies. Containerization is the collection of all the packages and libraries that users need to build and manage microservice applications in a container. The different container tools include Kubernetes, Docker, Helm, and Codefresh.
- Continuous Integration- Continuous integration is one of the major parts of the DevOps lifecycle, as each team member integrates their work periodically. Each connection is checked by the computer to recognize the connection over time. DevOps tools in this continuous integration category include Bamboo, Travis, Jerkins, AWS Code Build, and more.
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- Database Management- Tools in the database management category are used to track changes made to the database. Developers, and IT professionals, can identify the changes done in SQL or any other format like XML, YAML, or JSON Some of the popular tools in this category include Flyway, Delphix, Redgate, and DBMaestro.
- Deployment- The flexibility to automatically deploy applications to any environment or platform during the software delivery stage from development to testing and production is called deployment. The manual implementation here is not easy at every stage which is why deployment is done automatically using production tools. Some of the tools used for deployment include CA Automic, Elastic Box, Octopus Deploy, Electric Cloud, Urban Code Deploy, and AWS Code Deploy.
- Enterprise Agile Planning- Technologies that enable organizations to extend their agile practices to realize a comprehensive business vision are known as enterprise agile design tools. Many tools in this category are designed for large organizations and large amounts of data. That is why artificial intelligence methods are used to track patterns. They provide valuable information to stakeholders. Some popular agile enterprise planning tools include Digital.ai Agility, Targetprocess, Planview, Atlassian Jira Align, and more.
- Issue Tracking- Issue tracking is software that provides a ticketing system that records and tracks the progress of each issue reported by the user until the issue is resolved. Each of the issues has some details related to it. It is part of the System Software project. Also, this functionality may be required due to issues, errors, bugs, end-user requirements, etc. Some popular monitors are Atlassian Trello, Atlassian Jira, PagerDuty, and BMC Helix ITSM.
- Release Management- DevOps release management tools are similar to deployment tools. The process of maintaining integration, configuration, and visibility of end-to-end software delivery pipelines is called version control. These tools will help automate your CI/CD pipeline and allow you to explore the tools you may have used while building your software. Some popular release management tools are Digital.ai Release, Cloudbase Flow, Urban Code Release, AWS CodePipeline, etc.
- Security- Ensuring application security is one of the most important factors in relation to the increasing number of threats. You can protect your application from various attacks using different methods and technologies. DevOps tools in the security category are primarily designed for continuous inspection of the quality of codes. The goal of DevOps tools in the periodic table security category is to reduce the complexity and potential vulnerabilities of developing an application. Some of the tools in the security category are Black Duck, Snort, Tripwire, Hashcorp Vault, etc.
- Serverless/Paas- The main objective of serverless platforms, often offered by cloud service providers, and PaaS is to enable developers to manage or control cloud infrastructure, including networks, servers, operating systems, and storage. Serverless platforms allow organizations to reduce infrastructure costs, and resource consumption, and make solutions scalable. Moreover, by using serverless technologies, developers can run their code closer to the end user which helps in reducing latency. Some of the popular PaaS tools are Google Firebase, Azure Functions, AWS Lambda, Cloud Foundry, etc.
- Source Control Management- The first step when using DevOps methods is to create an application. Source code is the first phase of DevOps lifecycle management, providing tools for code generation and source code management. This is one of the most common practices in the DevOps world. It is the process of tracking and managing changes to code. The source code here is version controlled to reflect each developer’s changes. The most popular source code management tools are GitHub, Gitlab, Atlassian Bitbucket, Artfactory, Subversion, etc.
- Testing- After creating an app, the next step is to make sure it works properly. So, software testing is very important in this situation. Now you can check your application or software for errors and fix them. If defects are found, the product in this test category will go through the software improvement lifecycle. This increases the quality of the final software product. Some of the commonly used testing tools are Locust, Selenium, TestNG, JUnit, Cucumber, JMeter, Sause Labs, and Parasoft.
- Value Stream Management- Value stream management involves monitoring, controlling, and optimizing the benefits that software provides to your business throughout its life cycle. Value streams are now the most effective way to measure and track the values most important to a company and its customers. Some popular value stream management tools include TaskTop, Plutora, Digital.ai, etc.
DevOps initiatives are rapidly changing the way companies and software developers sell innovative applications and services to the public. DevOps will be the future of computing in a rapidly changing world. Application developers can do more than just development with the DevOps Periodic Table if they use the right DevOps tools. In fact, workflows are also simplified by considering the production and development process.
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