The DevOps periodic table is a thorough framework for categorizing key tools used in various DevOps phases and DevOps pipeline stages. In today’s fast-paced software development environment, choosing the correct DevOps technologies is critical for automating repetitive activities, improving communication, and assuring seamless integration. These DevOps tools are essential for preserving efficiency, enhancing security, and optimizing operations in DevOps environments.
Choosing the correct DevOps tools is determined by project requirements and adherence to DevOps best practices. While tools are essential to DevOps, the technique prioritizes cooperation, continuous integration, collaboration, and efficient communication.
The DevOps table is modeled after the periodic table of chemical elements, with tools organized according to their use and significance. With over 400 tools available to handle all DevOps life cycle management stages, selecting the proper set is essential. Rather than adopting every available tool, organizations should prioritize open-source, configurable, and community-supported options that meet their automation requirements.
Enroll in 3RI Technologies’s DevOps certification program to get an in-depth understanding of critical DevOps technologies and their deployment and grasp the tools needed to develop a strong DevOps culture in your firm.
What are DevOps Tools?
Programs known as DevOps tools aid in automating the software development process. Primarily concerned with improving interactions and cooperation amongst operations, software, and product management experts. DevOps tools also aid in software deployment, team building, and conflict and dependency management.
DevOps’s main objectives are increased software release frequency, job and process automation, and improved development speed and scalability.
Depending on your business requirements, you can need several DevOps technologies that interact via extensions, integrations, automation, APIs, or other channels. The DevOps periodic table facilitates workflow.
The DevOps Periodic Table lists some of the top DevOps tools, including:
- Puppet
- Ansible
- Jenkins
- Git
- Docker
- Kubernetes
- Nagios
- Gradle
Categories of Periodic Table of DevOps tools
The DevOps tools are arranged in a periodic table format and categorized according to their functions. Let’s go over each category individually.
1. Source code management: The first stage of the DevOps life cycle management is source code, which offers tools for managing source code management and code development. GitHub, SubVersion, GitLab, Compuware ISPW, Artifactory, Perforce, HelixCore, BitBuket, and others are some of the tools in these areas. To ensure that the modifications made by each developer are reflected, the source code is maintained here using a distinct version. Enroll in 3RI Technologies’ DevOps course in Pune to earn an industry-recognized DevOps certification.
2. Database Automation: Since developers must carry out several administrative chores in the databases, database administration and automation are crucial. The database automation tool improves reliability, error reduction, and deployment speed. Among the database automation tools are Redgate, Flyway, DBMeastro, Delphix, and Datical.
3. Continuous Integration: This is a crucial phase in the DevOps pipeline that facilitates frequent integration and automated builds. The DevOps pipeline is formed by CI/CD, and continuous integration aids in identifying faults, bugs, and problems much earlier for a fail-fast strategy and recovery. TeamCity, CodeShip, Jenkins, Bamboo AWS code Build, Travis CI, and others are some crucial tools.
4. Testing: DevOps culture often places a high value on testing to guarantee quality and identify mistakes, flaws, and problems through automated testing. Unit testing, acceptance testing, system testing, and integration testing are among the tests that occur as soon as the code is constructed and integrated. Some testing tools are Apache JMeter, JUnit, Selenium, Cucumber, Mocha, Source Labs, Perfects, and SoapUI.
5. Configuration management is the methodical process of handling environmental changes. Version control and automated technologies handle modifications to the executables and source code. Among the tools required for configuration management are SaltStack, Terraform, Chef, CFEngine, Puppet, and Rudder.
6. Deployment: The deployment of the code to production is the next item that comes to mind when the program has been developed, integrated, tested, and made available. Since manually deploying is difficult in this situation, we use the production tools to deploy automatically. CA Automic, Elastic Box, ElectricCloud, XL Deploy, GOCD, Octopus Deploy, Urban Code Deploy, and AWS Code Deploy are a few of the tools used in deployment.
7. Containers: Containers are programs that, with the aid of microservices, package code or applications along with all of their libraries and dependencies, making them portable in any setting. Helm, AWS ECS, Rancher, Codefresh, Azure Kubernetes Services, Kubernetes, and others are some of the tools used for this.
8. Orchestration: Orchestration is a method for managing, automating, and coordinating the CI/CD pipeline and other end-to-end software delivery pipelines. The CI/CD pipeline is orchestrated using several tools, including Spinnaker, AWS Code Pipeline, XL Release, Plutora Release, and Urban Code Release. Enroll in 3RI Technologies Agile’s online DevOps training program to advance your profession.
9. Cloud: As far as we are aware, the cloud is not our hardware or software; instead, it is the website of a third-party cloud provider. We don’t have many cloud-based possessions. The cloud or third-party provider’s website is where everything is transported, accessed, and stored, including data, hardware, and software. Some cloud providers are Google Cloud, Cloud Foundry, AWS Cloud, Microsoft Cloud, Lambda, OpenShift, and IBM Cloud.
10. AI Operations: Although AI is a distinct field, it quickly permeates our daily lives. AI includes several additional subfields, including image and vision processing, machine learning, big data, natural language processing, and neural networks. These days, AIOps is utilized to automate important DevOps tasks. These are typical tools—Prometheus, ITRS, Splunk, Sumo Logic, Logstash, etc.
11. Monitoring: After the apps are put into production, it’s time to keep them functioning by monitoring the infrastructures and applications to see how they’re doing and how much traffic they’re handling. It guarantees that all applications’ features and capabilities are operational. Among the tools utilized for this purpose are Zenoss, Zabbix, and Nagios.
12. Security: The applications must be safe to execute, fail-safe, and guarantee that all risks and vulnerabilities are removed from both the infrastructure and the applications. We occasionally have to adhere to legal, regulatory, and statutory requirements. Securing the infrastructures and apps makes this possible. Fortify SCA, Veracode, Sonarqube, Blackduck CyberArk Conjur, Tripwire, Snort, CheckMarx SAST, Signal Sciences, and others are some tools used in DevOps to guarantee security.
13. Collaboration: To guarantee synergy in DevOps, applications and tools must cooperate with other software available on the market. Pagerduty, Slack, BMC Remedy, Opscode, Servicenow, Trello, Jira, and OpsGenie are a few examples of software used for collaboration.
14. Analytics: Analytics of the infrastructure, software, and data collected are crucial to DevOps because they comprehensively examine vital metrics and measurements. New Relic, Kibana, Appdynamics, XL Impact, and Datadog are a few of the tools utilized for this.
Get Free Career Counseling from Experts !
The Bottom Line
The most of the DevOps periodic table tools have been discussed in this topic. On the other hand, the market has over 400 tools. We advise you to study more about the DevOps tools periodic table and enroll in the DevOps certification program at 3RI Technologies. With interactive lab and theoretical sessions, 3RI Technologies offers industry-recognized DevOps training that covers real-world applications. Keep learning!
