Detailed List of DevOps Tools for 2023

Nowadays, it is a fundamental requirement for every IT company operating in the market to think beyond technical delivery. The rapid adoption of DevOps principles and the resulting high expectations for DevOps tools and service providers over the past few years have made fast and high-quality application delivery models the new standard of expectations.

Overview of DevOps Tools

Transparency, automation, and collaboration are kept at the forefront of your value stream thanks to DevOps tools. These solutions make it possible for all parties, including development, operations, security, and business teams, to effectively share and exchange information and technical know-how for efficient product output.

Tools used by DevOps

Firms can overcome some of the difficulties associated with implementing DevOps principles with the aid of DevOps tools. There isn’t, however, a “one-size-fits-all” answer out there. As a result, there are many different DevOps tools available for every need.

We will have created a Complete List of DevOps Tools and split them into several categories in this article. Let’s look at it:

Github

One of the biggest and most sophisticated development platforms in the world is known as GitHub. On GitHub, millions of programmers and businesses create, publish, and maintain their software. Some of its key characteristics include:

  • Project Management
  • Collaborative Coding
  • Automation / CI & CD
  • Security with additional capabilities for enterprise customers

Bitbucket

With over 10 million registered users, Bitbucket is a highly well-known platform. Although being a platform for hosting code, it does more than only handle code. Using a single platform, teams can plan projects, work together on code, test, and deploy. Among its attributes are:

  • Better connectivity between Jira and Trello.
  • Built, tested, and deployed using integrated CI/CD.
  • More effectively approve pull requests and code reviews.
  • Use IP whitelisting and two-step authentication to keep your code secure in the cloud.

Gitlab

It is a comprehensive DevOps tool that enables quick software delivery. It enables teams to carry out all duties, including planning, supply chain management (SCM), delivery, monitoring, and security. Here are a few of its characteristics:

  • To manage projects efficiently, use a single source of truth, a single interface, and a single communication thread.
  • CI/CD for effective end-to-end automation that is scalable, reliable, and robust – Continuous Everything.
  • Your DevOps speed never slows down thanks to built-in features for automated security, code quality, and vulnerability management.

Tools for Application Performance Monitoring

Prometheus:

Prometheus is a performance monitoring tool that is open-source and supported by the community. Based on time series data, it also provides container monitoring and generates alarms. The features of the solution include:

  • Scaling with the aid of federation and functional sharding.
  • Easy service instrumentation is made possible by numerous client libraries.
  • PromQL has strong reporting features.

Dynatrace:

Includes all monitoring requirements, including infrastructure, business analytics, AIOps, and application performance. Features include:

  • Use open APIs to automate orchestration.
  • significant cloud support is available, and it is compatible with all popular database technologies.
  • Automatic quality controls and KPIs are offered by the Dynatrace APM solution.
  • AI-driven approach to identifying and fixing issues.

AppDynamics:

AppDynamics makes it possible to get real-time performance insights into applications. This DevOps tool tracks and analyses all transactions that pass through your application. Features include:

  • Agents are intelligent and know when to record transactional facts.
  • Solves performance issues with a methodology based on analytics.
  • Automatically determines proper operation and eliminates false alerts.
  • Smart Analytics makes it possible to identify and address problems as they arise.
  • Entire system data recording is made possible.

Deployment & Server Monitoring tools

Splunk:

Splunk is a SaaS and on-premises monitoring and investigation tool. It has attributes such as:

  • You should keep an eye on and troubleshoot your whole infrastructure, whether it is physical, virtual, or cloud-based.
  • Accelerate innovation to modernise applications for better user experiences.
  • AIOps combines machine learning for automatic remediation and predictive alerting.
  • MTTA efficiency increased with automated issue response that is mobile-first.

Datadog:

A SaaS-based DevOps solution for monitoring servers and apps in hybrid cloud settings is called Datadog. Also, it makes Docker container monitoring easier. Some of its key characteristics are:

  • Streamlines the collection of metrics and events from the entire DevOps stack.
  • Provides visibility into the entire user experience on a single platform.
  • Utilizes measurements for user experience to prioritize commercial and engineering choices.
  • Constructed to provide visibility between teams.

Tools for Configuration Management

Chef:

Chef is a Ruby and Erlang-based open-source DevOps solution for automation and configuration management. Features include:

  • “Cookbooks” that make it easier to code infrastructure in domain-specific languages.
  • Cloud computing platforms like Amazon AWS, Microsoft Azure, Google Cloud Platform, etc. are easily interconnected.
  • Code for configuration.

Puppet:

Puppet is in charge of simply managing and automating your infrastructure and intricate workflows. These DevOps tool features include:

  • Extract configuration information from numerous operating systems and platforms to automate and streamline complex manual procedures.
  • It becomes challenging to keep all servers in a particular condition when you have 100, 1000 servers, a mixed environment, or plans to extend your infrastructure. Puppet may help you by saving time and money, scaling successfully, and doing this.

Ansible:

Ansible provides straightforward IT automation that eliminates monotonous chores and frees teams up to work on more significant projects. concentrating on two main use-cases

  • Configuration management: Strive to be the most straightforward solution and be minimal in nature, consistent, secure, and extremely reliable, with a focus on helping administrators, developers, and IT managers get started right away.
  • Orchestration – Using a single straightforward language, Ansible’s library of modules and easy extensibility make it simple to orchestrate many conductors in various situations.

Tools for CI and deployment automation

Bamboo:

It is a DevOps tool that will assist you in implementing Continuous Delivery, from development to deployment. The ability to integrate automated builds, tests, and releases into a single workflow is provided. Some of its key characteristics include:

  • Enables users to set up triggers to begin builds in response to commits and to design multi-stage build plans.
  • The potential of Agile Development is unleashed by parallel automated tests, which accelerate and simplify the bug-finding process.
  • Improved connection with Bitbucket and Jira.

Jenkins:

Jenkins is a free, open-source platform for continuous integration and delivery that is written in Java and used to automate the entire release management lifecycle. Because of the following characteristics, Jenkins has become one of the fundamental DevOps Tools:

  • Used as a straightforward CI server or transformed into the project’s CD hub.
  • Its web interface, which features on-the-fly error checks and built-in assistance, makes setup and configuration simple.
  • Work may be easily distributed among several machines, speeding up builds, testing, and platform deployments.

IBM UrbanCode:

IBM UrbanCode allows continuous delivery for any admixture of on-premises, mainframe, and cloud applications as a deployment automation and release management solution. It includes, among other things:

  • Enhances build management by utilising a business-oriented solution coupled with tools for development, testing, and release.
  • Automates the configuration of middleware, the creation of databases, and the building of applications.

Tools for Test Automation

Test.ai:

It is an automated testing tool that uses AI to speed up and improve the quality of app releases. Their AI-Bots

  • Create tests without using scripts or coding.
  • Bring testing up to the DevOps pace.
  • Test on any platform and with any application.
  • Automatically maintain testing and raise standards everywhere.

Ranorex:

A comprehensive solution for all automated testing types, including cross-browser and cross-device testing. Among its attributes are:

  • One licence covers all the tools you require for test automation.
  • Test on actual hardware or on simulators or emulators.
  • Enables easy interaction with CI servers, issue tracking applications, and other systems.

Ranorex:

A one-stop shop for any kind of automated testing, including cross-browser and cross-device testing. Its attributes include:

  • One license gives you access to every tool you need for test automation.
  • Test with actual equipment or a simulator or emulator.
  • Makes it possible to integrate tools for issue tracking, CI servers, and more simply.

Selenium:

Used mostly for testing online applications, but it can also be used to automate other web-based administrative functions. Three elements

  • You can build reliable browser-based regression automation suites and tests with Selenium WebDriver, and it also makes it easier to scale and distribute scripts across many settings.
  • A Chrome and Firefox add-on called Selenium IDE makes it easy to record and replay browser interactions.
  • To scale your testing efforts, use Selenium Grid to run tests on numerous machines and manage several environments from a single location.

Tools for Artifact Management

Sonatype:

Sonatype, which bills itself as the top repository manager in the world, effectively gives developers access to parts and containers while serving as the single source of truth for all of your components, binaries, and build artifacts. Features include:

  • Offers all common build tools universal support.
  • Flexible and effective processes that empower development teams.

JFRog Artifactory:

Serves as the one source of truth for all Helm charts, packages, and container images as they are transferred throughout the whole DevOps pipeline. Features include:

  • For your DevOps system, scale using active/active clustering and multi-site replication.
  • Allows for tool stack customization and environment integration.
  • Use robust REST APIs to automate your pipeline and release more quickly.

CloudRepo:

Used to administer, distribute, and share personal Maven and Python repositories.

  • Several servers are used to store the repositories to achieve high availability.
  • Access can be easily granted or denied to your clients.
  • Connects to all significant CI tools.

Tools for Container Management

Docker:

Docker is a lightweight technology that uses an integrated approach to streamline and speed up different SDLC procedures. A standalone, executable package known as a docker container image contains all the components required to run a program. Its key characteristics, which have made it one of the most important DevOps tools, include the following:

  • Standardized packaging design for a range of uses.
  • Operating systems for Linux and Windows servers that support container runtime.
  • Docker is used by developers to create, test, and collaborate.
  • Discover millions of photos from trusted publishers and the community on Docker Hub.
  • With Docker App, distributed apps may be packaged, executed, and managed.

Kubernetes:

One of the most well-known container orchestration systems, Kubernetes is an open-source DevOps solution that automates the deployment and maintenance of containerized applications. It differs from other DevOps Tools in the following ways:

  • Monitor the health of your application while simultaneously making changes to its configuration or code – Automatic rollbacks and rollouts.
  • It provides service delivery and load balancing for a group of pods by providing individual IP addresses and a single DNS domain.
  • Install your preferred storage system automatically.
  • The capacity for self-healing.

Mesos:

A DevOps tool for managing computer clusters is Apache Mesos. For resource management and scheduling across large datacentre and cloud settings, it is a distributed systems kernel. Among its attributes are:

  • Natively supports the launch of containers using AppC and Docker images.
  • Supports the use of pluggable scheduling policies to allow both cloud-native and legacy apps to run in the same cluster.
  • Runs on various systems, including Windows, OS X, and Linux.
  • Quickly expand to 10,000 or more nodes.

Tools for Codeless Test Automation

AcceIQ:

In terms of DevOps tools, AcceIQ is the market leader in codeless test automation. It is an effective tool for code-free test automation that enables the tester to freely create test logic without worrying about coding syntax:

  • Adopts a design-first methodology and readily enforces modularity and reusability while creating test assets.
  • Iframes and other dynamic controls to handle.
  • Supports the construction of complex interactions and logic.

QuerySurge:

The first-of-its-kind comprehensive DevOps solution for continuous data testing is QuerySurge, a smart data testing tool.

  • Strong API with over 60 calls.
  • Continuous testing is seamlessly integrated into the DevOps pipeline.
  • Swiftly verifies massive volumes of data
  • Establishes the validity of complex transformation rules between various source and target systems
  • Modifies tests in response to changes in requirements and code discovered, notifying team members of the changes.
  • Offers comprehensive data intelligence and analytics

Appvance:

End-to-end testing is carried out by this Al and ML-powered autonomous testing platform, which also offers ML-assisted codeless scripting. Features include:

  • Level 5 autonomous test automation system.
  • AI-generated tests and self-healing scripts for 100% application coverage and validations with 90% less work.
  • Strengthens your DevOps environment’s use of continuous testing.

Testim.io:

You can run tests with the use of AI-based UI Testing, which provides incredibly quick authoring that improves coverage and quality. Your DevOps journey is aided by:

  • Integrating with programs like Jira, GitHub, and Saucelabs.
  • Flaky tests are removed, which lowers maintenance.
  • Identifying the source of the problem to speed up bug fixes.
  • Extending testing activities in a productive manner using management, control, and insights.

What DevOps tools would be best for your team?

The following are some things to think about while selecting the best DevOps tools for your team:

  • You have to hunt for a DevOps platform that offers sprint planning capabilities that permits your development team to prepare in iterations.
  • Think about a DevOps tool with excellent collaboration capabilities.
  • It is essential to have a DevOps tool that supports a variety of automation tools and API technologies.
  • A DevOps technology that enables your team to keep configuration under version control is what you should be looking for.
  • Think about implementing DevOps solutions that provide both automated and manual methods for boosting productivity in your DevOps procedures.
  • A continuous integration tool must be given top priority.
  • Dashboards for automated deployment and releases from a solid DevOps tool should be available.

How should I pick the best DevOps tools?

When choosing the finest DevOps tools, you should take the following elements into account:

  • The incorporation of other tools
  • Dependable API support
  • Support across platforms
  • Automation of several software development processes customizations are provided
  • Simple to use and control with a single dashboard
  • Performances price
  • Assistance with continuous integration and delivery
  • Cloud assistance
  • Features for simple and immediate collaboration
  • Bug-finding and bug-fixing skills
  • Features for monitoring and analytics
  • Consumer service

More DevOps Tool Exploration

One of the key goals of DevOps is to eliminate the divide between business, development, and information technology in order to turn your SDLC into a strategic asset for your company. Yet, it is crucial to pick the appropriate instruments if you want to accomplish this goal. The correct tools help you to realise all of the advantages of DevOps by enhancing your productivity, boosting transparency, speeding up the process by which your products and services are developed, and improving your KPIs, such as code throughput and reliability metrics. This thorough list of DevOps tools is a start towards comprehending this environment.

Even after deploying DevOps tools, you must remember that operational maturity is not something that can be attained quickly. DevOps tool implementation is a collaborative endeavor to change the culture and dissolve communication silos. You’ll be able to deliver better software and guarantee improved chain-wide transparency as a result. It is important to keep in mind that these DevOps technologies are only a necessary first step in adhering to Agile/DevOps principles, allowing you to concentrate on enhancing speed and accuracy and facilitating cross-team cooperation.

If you’re interested in learning more about Hexaforce, its products and services, or how to hasten your DevOps journey, feel free to check out these resources in the interim. Contact us!

Leave a Reply

Close Menu