12 best collaboration tools for DevOps teams

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2. Docker

Docker is used by 11 million developers globally. Docker, Inc. published the solution in 2013 by Solomon Hykes. It allows developers to construct Docker images for testing and deployments.

Major characteristics

• Docker packages apps using OS-level virtualization. It isolates containers and bundles software, configuration files, and libraries, making them portable and safe.
• It supports GCP and AWS and cloud migration.
• Containers simplify distributed development.
• The tool enables new features and fixes.
• Docker supports Windows, macOS, and Linux.
• It works with CircleCI, GitHub, and others.
• Netflix, Adobe, AT&T, and PayPal use Docker.

3. Jenkins 

This free and open-source server automates software development activities, including building, deploying, testing, and CI/CD.

This DevOps collaboration tool simplifies monitoring repeated tasks, integrating changes, and spotting issues.

Main features

• Jenkins has over 100 plugins to interface with CI/CD tools like Git, Amazon EC2, Maven, and so on.
• Java software runs on Windows, macOS, Linux, and Unix.
• Its plugins provide many extra features
• Java-based DevOps tools may be distributed over numerous machines to speed up builds, testing, and deployments
• AWS support

4. Ansible 

This tool Automates the application lifecycle and the IT processes easily. Ansible helps DevOps teams expand automation, handle complex deployments, and boost productivity.‍

Impactful characteristics

• Hybrid cloud automation with support modules
• Automate security
• Easily deploy and manage configuration files 
• Simplify IT automation to free up teams for strategic work

5. GitHub

It is one of the most prominent DevOps collaboration tools. Hosting and Git version control are offered. 2008's Ruby, C, Go, and ECMAScript launch. 3M+ businesses and 56M+ people use it. GitHub offers Git's version control and source code management. Many open-source projects prefer its free basic services.

Major aspects

• Controls access better
• Bug tracking, CI, feature requests, wikis
• Public and private repositories unlimited
• Sharing GitHub and npm
• Its mobile app blends codes, browser repositories, and notifications
• Windows, macOS, and Linux support GitHub CLI and desktop

6. SonarQube 

SonarQube is an open-source code quality assurance tool that analyses source code to report project code quality. It combines static and dynamic analysis and continuously measures quality. SonarQube also checks style and design.

Main characteristics

• SonarQube doesn't just reveal what's wrong; it helps solve it
• It displays coding principles, test coverage, de-duplications, API documentation, and code complexity
• Gives present, past, and projected code quality trends. 
• Provides decision-making analytics

7. Nomad

Nomad is a scheduler and workload orchestrator that lets businesses deploy and manage containerized and older apps with a single, unified workflow. It uses infrastructure-as-code to deploy apps.‍

Notable features

• Containers and legacy apps 
• Device plugins 
• GPU support 
• Federation for multi-region scalability

8. Monit 

Monit is a "server watchdog with tools" that monitors processes, programs, files, directories, and filesystems. It monitors and recovers from system faults. 

Important characteristics

• Small open-source Unix management program
• Auto-maintain and repair

9. Cypress

JavaScript-based Cypress is a tool for effective DevOps that assesses websites. It helps developers and QA engineers test. Cypress manipulates browser DOM for developers.

Advanced features

• Real-time web debugging requires time travel
• Cypress networks
• API testing
• Advanced component testing
• Cypress Studio beta for audio recording and playback
• Mocking and stumbling
• A set of plugins to improve test automation coverage, including AXE, Istanbul, and visual testing

10. Elasticsearch 

This tool is built on Apache Lucene. Java-based, it stores, finds, and analyses big data in real-time. Many document formats can be indexed and searched.

Key features

• High-availability clustering
• Auto-node-recovery
• Auto-rebalancing
• Scalability
• Rack-awareness
• Replication cross-cluster
• Datacenter cross-replication

11. Packer

HashiCorp's Packer creates machine images for AWS, GCP, Azure, and VMWare. It packs software, packages, and configurations when building machine images. It may be the only effective DevOps tool focusing entirely on producing machine images and automating the process.

Main functionalities

• Packer automates image creation. It encourages using Chef or Puppet to install and configure software in Packer-made images.
• Packer modernizes pre-baked images, unleashing new possibilities and opportunities.

12. Grafana

Dashboards are easy to construct with Grafana, one of the best tools for effective DevOps. As organizations grow, dashboard sprawl can become bit harder to manage. Dashboard output increases with user count.

Primary features

• After the logging and monitoring data were brought together, the DevOps team used Grafana’s organization's functionality to provide each internal team with its own isolated monitoring experience within Adform’s Grafana instance. 
• With Grafana’s streamlined, cost-effective approach, users can now view all other organizations’ data while maintaining admin access over their own.
• Grafana’s built-in support for Prometheus Alertmanager, Adform’s central monitoring system, allows anyone across the company to see and access any alert.

Conclusion

What does your DevOps team need?

If you prioritize customer privacy, scalability, and flexibility, Rocket.Chat is a good choice. Due to its open-source nature, it can be connected with other collaboration tools for software development teams.

Let your developers' team make the final call while you discover why software developers across the globe love Rocket.Chat.

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