47 Best DevOps Tools for 2023 (Free & Paid)
DevOps is a term that was formed from the combination of development and operations.
It uses continuous integration, automatic testing, and continuous deployment to improve the process of program delivery and maintenance.
The level of collaboration evident between operations and development teams in the DevOps environment does not exist in traditional organizations as operations teams can only take over once the coding process is done.
In this article, we will give a detailed definition of DevOps tools, highlight the “47 Best DevOps Tools in 2022” based on their various categories, and itemize the various benefits you and your organization will enjoy using these platforms.
Best DevOps Tools
Version Control Tools
Version Control Software (VCS) are also referred to as Source Code Management (SCM) tools or Revision Control Systems (RCS).
Version control software monitors every modification to the code in a special kind of database. If an error is made, developers can easily retrace their steps and compare earlier versions of the code to help fix the mistake while minimizing disruption to all team members.
Version control systems help software teams work smarter and faster by reducing the development time and increasing successful deployments.
Best Versioning Tool for Building Software.
GitHub is a platform that automates the entire code management process. Millions of organizations and people around the world use GitHub to discover, share, and contribute to software development.
GitHub is used when building and executing different programs such as experiments, games, leading applications, and well-known digital frameworks.
It enables collaboration, review, and code management among development teams. Your team can improve the quality of your code with a properly structured process and fit it into your workflow easily.
Best Versioning Tool for Code Management.
Bitbucket is a Git solution for professional teams that provides collaboration and code management around the versioning of your codebase.
With Bitbucket, the pieces of your core functionality are built to ensure that work is easier between software teams. These functionalities include integration & extensibility to collaboration, scalability, and security.
Bitbucket provides a medium for software developers to have discussions around code changes. It may also be described as a window for development managers to manage the development progress.
The platform can be utilized as a performance versioning tool for system admins. With its integrations with Jira and Trello, your team will be able to connect their task to different branches and start coding faster.
Bitbucket has a built-in CI/CD that makes it easier for you to confidently build, test, and deploy code to your customers.
Best Versioning Tool for Project Management.
Gitlab is a single application that changes how development, ops, and security teams build software and collaborate. It is a cloud-based project management platform that improves collaboration while software developers develop and manage codes.
Gitlab increases developers' productivity by reducing cycle time from weeks to minutes, decreasing time-to-market and development process costs and the risk of application vulnerabilities.
It is a complete open-source DevOps performance tool. Gitlab can be deployed either in the cloud or on-premise.
With GitLab, developers can manage the whole code life cycle right from ideation to deployment.
Container Management Tools
A container can be defined as a lightweight package that bundles together a single app and its dependencies to ensure the ease of the development, deployment, and management of applications across complex IT environments.
Container management tools help automate the creation, deployment, and scaling of containers. Container management deals with the replacement, addition, and organization of containers on a larger scale.
Best Container Management Tool for Third-Party Integrations.
Docker Hub is the world's largest repository of container images. It boasts an array of content sources including open-source projects, container community developers, and independent software vendors (ISV) building and distributing their code in containers.
You can get access to a public repository for sharing and storing images. You can also choose to opt for a private repository.
This application development solution will allow your business to not only build applications but also share container images and so much more.
Docker is a hosted platform that enables system administrators and developers to manage and create applications within software containers affordably and efficiently.
This application helps find and share container images, integrates with third-party applications, and does so much more. Docker is ideal for businesses of all types and can be deployed on cloud, desktop, and on-premise.
Best Container Management Tool for Configuration Management.
Kubernetes is a Linux container orchestration system that is on its way to becoming the de-facto container management tool for sealing, deploying, and managing enterprise applications.
It deploys and updates application configuration without the need to rebuild your image and does not expose secrets in your stack configuration.
The platform enables operations and DevOps teams to manage VMs centrally and containerized workloads across hybrid clouds and multi-clouds, as well as provides each environment with an intuitive self-service developer and operations portals.
Kubernetes is an open-source platform ideal for enterprise IT operations and DevOps teams.
Best Container Management Tool for Dynamic Scheduling.
Apache Mesos is a cluster manager built based on a dynamic scheduling platform that manages cluster resources across applications and databases to drive resource utilization.
The flexibility of Mesos makes it easier to run several frameworks on top of it. These frameworks could be different versions or completely different frameworks. Mesos was built on the same principle as Linux but a different level of abstraction.
The Mesos panel provides applications like Spark, Hadoop, Elastic search, and many more with the APIs for resource scheduling and management across entire cloud environments and data centers.
It provides support for running legacy applications and cloud natives in the same cluster with pluggable scheduling policies.
Users of this platform can complete tasks on the same machine that stores input data and supports near-optimal data locality.
Mesos Scheduler works and is distributed into two-level resource scheduling techniques that allow it to decide the proportion of resources to allocate to each framework. The framework schedule then rejects or accepts the offering.
Best Container Management Tool for Microservices Adoption.
Helm is an application package manager that can also be run on top of Kubernetes. It is a program that allows you to describe application structure with Helm charts that are managed through simple commands.
This platform simplifies the massive adoption of microservices so you don't have to make use of monolithic applications. Helm can easily be stored on a disk and fetched using chart repositories like Debian and RedHat packages.
You can group the logical components of an application into charts to ensure that you can deploy and maintain them easily for an extended period.
The platform also allows you to deploy several things virtually, from complex web apps to Redis cache. It provides the ability to utilize Kubernetes packages with a single CLI command or a click of a button.
Application Performance Monitoring Tools
Collecting and monitoring a lot of different types of data is a requirement to fully manage and monitor the performance of an application.
APM solutions ensure that a software application provides services to customers up to the quality level required. It also identifies the problems related to application software.
Application performance can be monitored using various categories like load time, the response time of the application, and more.
Best DIY Application Performance Monitoring Tool.
Prometheus is one of the most popular open-source application performance monitoring tools available and is well known for resolving server monitoring needs.
It is a DIY solution for setting up a full-fledged monitoring server; as such, using it will require a tangible amount of configuration and complexity.
Prometheus runs on your infrastructure so you don't have to ship your metrics to a third-party vendor.
The platform integrates with multiple channels like Pager Duty, Microsoft Teams, Slack, and many others and this allows it to support server monitoring alerts.
The combination of Prometheus and Grafana is a potent open-source monitoring duo that gives you significant flexibility with a backend that provides excellent server performance monitoring.
Prometheus does not provide durability guarantees nor is it designed for long-term metrics storage because it runs on a single node.
You need to connect it to a remote storage option like Thanos or Cortex which are open-source and can provide high availability, multi-tenancy, horizontal scalability, and long-term storage.
Best Application Performance Monitoring Tool for Server Monitors and Logs.
Dynatrace is a server performance monitoring tool with the ability to monitor server metrics and server logs.
It is a server performance monitoring tool that is available in SaaS and on-site models which should meet most of your monitoring needs.
Setting up Dynatrace is relatively easy and it takes a few minutes to stream your metrics into dashboards to gain insights into your server's memory, CPU, and network health down to the process level.
Dynatrace does not only monitor your service but also uses artificial intelligence tools to automatically understand the specifics of your entire application architecture, including evaluating the application's performance.
It is an ideal monitoring solution for your organization's infrastructure across multiple clouds due to its minimal operational overhead and complexity.
Best Application Performance Monitoring Tool for Business-Driven Projects.
AppDynamics is a business-first observation platform that enables you to identify application server performance issues that may affect business performance, with application metrics and correlated servers that have inside of a full picture of how your cloud investments are facilitating business.
It accelerates your digital transformation with insights you will need for application and server performance monitoring.
Using this software gives you access to a comprehensive set of dashboards and metrics to support fine-grained alerts that can be integrated with third-party alerting and incident management tools like PagerDuty, Jira, and ServiceNow.
This application performance monitoring tool is a good solution for more business-driven companies. Its business-first mentality allows your stakeholders to see how their cloud infrastructure investment impacts your business.
Best Application Performance Monitoring Tool for Crash Reporting.
Raygun is a cloud-based tool that provides crash, error, and performance monitoring for your mobile and web applications.
Utilizing Raygun's powerful tools, your team can achieve visibility on issues your users encounter, providing code-level detail into root causes.
Raygun's suite of products is fully integrated to unlock powerful insights in performance monitoring.
Developers can pinpoint root causes without having to depend on support tickets, logs, and incomplete information when using Raygun.
Raygun provides you with visibility into how users experience your software to ensure you deliver a flawless digital experience.
Best Application Performance Monitoring Tool for Service Mapping.
Instana is a high-powered, automated application performance monitoring tool. It is an enterprise observability platform that discovers and maps all infrastructure services and their inter-dependencies automatically.
The platform takes in all observability metrics and traces requests, profiles all processes, and updates applications dependency maps quickly to deliver the context and feedback needed by DevOps teams to optimize application performance, ensure efficiency and value to the pipeline.
This software can monitor the performance of your application stack with one easy-to-use add-on.
Best Application Performance Monitoring Tool for Integrated RUM and Synthetic Set-up.
Catchpoint is a digital experience monitoring tool that helps companies deliver excellent customer experiences.
The Catchpoint platform provides complete visibility into your users' experience and real-time intelligence into your applications and services to help you identify, escalate, repair, and validate issues faster.
It can help you monitor everything from development to production that affects any digital experience with its advanced synthetic monitoring.
Catchpoint monitors and measures the user's workstation and much more in real-time for extensive insight into your systems.
With this APM tool, you get a global monitoring infrastructure, customers' ISPs, backbone and broadband networks, and mobile networks that help you understand the true performance experienced by your users.
Your service delivery is improved with Catchpoint's integrated RUM and synthetic monitoring.
Using this monitoring, you can stay ahead of performance-related issues and effectively manage your customer's experience with near real-time data and smarter alerts
Deployment & Server Monitoring Tools
Server monitoring entails the monitoring of a server system such as memory consumption, CPU usage, network, disk usage, and much more.
Server monitoring tools help automate the process of server monitoring. They also help with capacity planning by understanding the server's system resource usage.
These tools are also responsible for the identification of other performance-related issues like app downtime, response time, and resource utilization.
Best Deployment & Server Monitoring Tool for Scalability.
Splunk is an on-premise and SaaS software for machine data. Using the Splunk Enterprise platform allows you to process and index almost all forms of data in their native format.
It is equipped with data indexing tools that can help you pinpoint specific data across large data sets.
This software was built to serve users with limited technical abilities. The platform's scalability is a huge selling point that allows it to grow with the amount of data that it needs to process, reaching a minimum of 100 terabytes daily.
Splunk has inbuilt failover and disaster recovery capabilities that ensure you always have access to your data even in cases of system disruption.
Best Deployment & Server Monitoring Tool for Correlated Metrics Monitoring.
Datadog is a server monitoring tool that can be used for your logs, network, application, and infrastructure. It provides a unified monitoring view with correlated metrics that are associated with server log traces and discovery.
The platform is a convenient tool for debugging performance issues on your server, being able to monitor server metrics with application data to let you discover hidden sources of lag, like contested databases and overburdened hosts.
It is easy to install and has over 450 integrations including almost every tech stack, open-source, and cloud product.
Additionally, Datadog has a very strong alert system that is based on several data sources. They can be metric-based triggers or simple hosts.
The software also provides alerts on events, anomalies, forecast behavior, process monitoring, and all composites of these types. It makes use of its query language to generate graphs that you use to customize what is displayed or picked from the UI.
These graphs can be shared either on Datadog's inbuilt incident management product or on dashboards.
3. New Relic
Best Deployment & Server Monitoring Tool for Container Monitoring.
New Relic is one of the newer monitoring tools to use that focuses more on server and container monitoring. It combines all correlated metrics into a single data plane which enables you to pursue in line of inquiry with a few clicks and have insight into how everything connects.
This server monitoring tool offers a flexible and open integration framework that allows it to support and integrate with several systems like Kubernetes, Prometheus, Azure, AWS, Apache Cassandra, and more.
Setup is very fast and can give you immediate insight into your system. New Relic is a great choice to monitor your system if most of your workload is geared towards Kubernetes and containers.
Best Deployment & Server Monitoring Tool for Server Monitoring as a Code.
Sensu Go is an observability pipeline that provides support for server performance metrics. It also lets you address gaps when monitoring the visibility of correlations among metrics, tracing, and logging.
The platform allows you to support monitoring as code. It also allows you to define monitoring workflows with the use of declarative configuration files shared with members of the team.
This lets you write tests, execute version control, edit, and review properly. Sensu Go is open-source monitoring software that supports multiple clouds and their related infrastructure.
Best Deployment & Server Monitoring Tool for Graph Building.
Grafana is an open-source server monitoring tool that connects to several data source parkins and has inbuilt alerting.
Its name is very significant because it is one of the most flexible and sophisticated graph builders available.
There are various graph types from bar charts to histograms and dials that you can use to transform data through joins, filters, and other aggregations functions as well as configure how the label and legends are displayed.
Using Grafana, you can plot metrics from various sources on the same graph and dashboards that are built from more than one panel.
Grafana also gives you the power of querying across data sources with different alert conditions set on sums, averages, and whether the threshold is met across several series and custom time ranges.
Best Deployment & Server Monitoring Tool for Comprehensive Server Monitoring.
Nagios XI is a server monitor that provides comprehensive monitoring for enterprise servers and networks. It collects data through the use of agents that have been placed on both the network elements and even the components it monitors.
Nagios is also connected to network switches and other components like wearing their status through the use of a simple network management protocol (SNMP).
Furthermore, the platform communicates with and collects data from Windows-based products through the Windows management instrumentation (WMI) protocol.
Configuration Management Tools
The task of monitoring and tracking changes in software and software engineering is dependent mainly on the disciplinary field of configuration management.
Configuration management entails automating important and repetitive activities in the IT environment.
Configuration management deals with tasks like patch management, software installation, updates and upgrades, security compliance among others.
Best Configuration Management Tool for DevOps Platforms.
Chef is a leading DevOps management tool, promoting collaboration from code to automate infrastructure, compliance applications, and security. It supplies a single path to production which makes it safer and faster to meet customers' demands and add value to applications.
The software is used broadly by over half of the Fortune 500 and utilized in production by the Global 5000 companies.
Chef develops its software as an open-source with the Apache 2.0 license having no restrictions on its use.
It provides an excellent developer experience for the coded enterprise by allowing its users to express security policies, infrastructure, and application lifecycle as code, modernize development, packaging, and delivery of the most applications to different platforms.
Best Configuration Management Tool for Conflict Detaching and Situational Awareness.
Puppet Enterprise gives you a clear view of what is in your infrastructure and how it is configured through the physical components of your data center, your cloud infrastructure, and everything you run in containers.
It automatically ensures that everything is in its desired state, keeps you compliant, and enforces consistency while giving you control to make desired changes as your business grows.
Puppet is the only configuration management tool that includes desired state situational awareness and conflict detection.
It is equipped with more than 5,000 prebuilt, approved, supported, and community-contributed modules.
Puppet is an excellent cloud-based solution for businesses of all sizes as it helps perform cloud migration, ultimate drift remediation, and maintain compliance.
Best Configuration Management Tool for Application Deployment.
RedHat Ansible automation is a convenient way to automate apps and infrastructure.
It is an excellent platform for configuration management, application deployment, and continuous delivery.
Ansible allows you to build a stable foundation for DevOps and manage systems effectively. It is built for all sizes of businesses.
The software helps provide role-based access to dashboards, deploy services, execute security policies, and connect network administrators to a centralized IT infrastructure.
Database Management Tools
A database can be defined as a collection of information organized in tables and stored in a computer system.
A database management system on the other hand is software that creates and manages data in a computer system.
The database management tool provides users and programmers a safe process for data creation, retrieval, management, and updating.
Best Database Management Tool for Open-Source Database Version Control.
Liquibase is an independent open-source database library that was started in 2006 for managing, tracking, and applying database schema changes.
It is a database deployment tool that will allow your business to create repeatable CI/CD processes and implement code changes across different applications.
Liquibase is an open-source version control solution that depends on a change log to monitor changesets that have been deployed into a database and determine what extra changes need to be added to a database for a database schema to migrate to a specific version.
It is an ideal solution for small teams and projects but also for teams that have enough time to invest in extending and adapting the open-source capability to suit their needs.
Best Database Management Tool for Programmable Data Infrastructure.
Delphix is software that deals with the automation of the largest constraints in digital transformation programs which is the data.
It is equipped with enterprise modernized legacy apps, multi-cloud platforms, cloud migration, and software release while ensuring there is compliance with GDP, HIPPA, CCPA, and other data privacy regulations.
The tool is a data governance solution that helps your organization meet GDPR requirements through the management of access policies, pinpointing, and masking confidential data.
Delphix is an industry leader in programmable data infrastructure and is ideal for large to medium enterprises, developers, IT teams, database administrators, and DevOps professionals.
Best Database Management Tool for Repeatable Release Automation.
DBmaestro is a platform that aids the safe implementation of CI/CD for the database. It prevents unexpected database downtime with its automatic drift prevention mechanism, complete audit trail, and customizable management.
The tool is a lightweight solution that combines several key functions like database version control, repeatable release automation, security, and governance modules that make its value greater than some other database management tools.
DBmaestro provides efficiency, speed, and agility for multinational companies across different industries in the integration process.
It is an end-to-end database release automation tool that includes a complete set of tools that cover the entire process of database deployment.
The software is a comprehensive and cost-effective database release automation software that makes its value known through its implementation of the best DevOps practices to all database environments.
CI / Deployment Automation Tools
Continuous integration and continuous deployment automate the process from production to deployment of applications thereby simplifying software development and deployment cycles.
Continuous deployment is the automated procedure of software development that ensures every code change passes through the entire pipeline before releasing it into production.
Continuous integration tools on the other hand are the engine that drives SaaS software development strategy across all businesses today.
Best CI/ Deployment Automation Tool for Integration with Bitbucket and JIRA.
Bamboo is a CI/CD tool that offers support for the delivery part of continuous delivery, trying automated tests, bills, and releases together in a single workflow.
It allows testers, build engineers, developers, and system administrators a common place to share information and work together while ensuring sensitive operations like production deployment is kept on lockdown.
The software types branch automatically and also marriages and deployed them according to your teams.
Bamboo is an Atlassian tool, so it offers one of the best Integrations with Bitbucket and JIRA software. It is a continuous integration and delivery tool that provides first-class support for continuous delivery.
Best CI/ Deployment Automation Tool for Various Plugin Support.
Jenkins is a leading open-source automation software that provides several plugins to support the building, automation, and deployment of any project.
It allows developers to distribute job tasks across various machines and enables software deployment or testing across platforms.
With the provision of the Jenkins pipeline, you can implement continuous delivery pipelines like code review, internationalization, software version control, and many more.
It offers a remote access API that allows you to access and capture data in XML, JSON, and Python formats.
Jenkins can be connected to the software of a third-party-party administrator and grant access to employees by configuring credentials based on secret file or text, password and username, certificate file, and much more.
Best CI/ Deployment Automation Tool for Complexity Management.
IBM UrbanCode uses the approach of DevOps to automate, orchestrate, and deploy middleware, applications, and database changes to test, develop, and produce environments.
It increases the frequency of software delivery using repeatable and automated deployment processes.
IBM UrbanCode delivers high-quality application releases with added compliance through end-to-end auditability, transparency, and reduced time to feedback.
It is a cloud-based and on-premise tool that manages complexity and simplifies the deployment of multi-channel applications to all environments.
Test Automation Tools
Automation testing is a system testing technique that works using special automated testing tools in the execution of a test case suite.
Automation testing is running the software programs that execute test cases and provide the test results without human intervention.
Best Test Automation Tool for AI Brain Integration.
Test.ai is described as a tool built, by Jason Appdiff, that adds an AI brain to Appium and Selenium.
The AI discovers and identifies screens and elements dynamically in any application and it automatically drives your application to the execution of test cases.
Test.ai is so smart that it knows if an element changes, it can identify and adjust it while giving you control to make any manual adjustments.
Best Test Automation Tool for Beginners.
Ranorex is a test automation tool driven by the user interface. It can help you automate everything when it comes to mobile, web, and desktop-based applications.
It is an all-in-one test automation software that makes test automation easy for beginners.
Ranorex Studio supports a large range of technologies such as legacy desktop applications that are difficult to automate.
Ranorex’s integration with tools like Jenkins, JIRA, Test Rail, Git, Bugzilla, and many more allow you to build a completely automated testing toolchain.
Best Test Automation Tool for Regression Testing.
Selenium happens to be a leading open-source automated regression testing option suitable for browser-based website automation.
It is an API that lets you write tests programmatically using most programming languages to interact with a browser the way a customer would.
The platform is one of the most popular website automation testing tools, although it is not a stand-alone testing tool.
Selenium is an umbrella project that encapsulates a variety of tools and libraries that enable web browser automation.
Best Test Automation Tool for Test Attacks.
Gremlin provides safe, secure, and easy-to-use enterprise services to test the reliability of cloud applications and infrastructure. It is a SaaS that tests the resilience of your systems through a set of attacks related to system resources, networks, and states.
Even though Gremlin provides three sets of attacks, it is your responsibility to decide the attack that suits the environment best and how multiple tests can be clubbed together to test the complete environment's resilience.
Gremlin is a great choice for SaaS implementation that teams need to evaluate resilience on different parameters.
The software also offers powerful integrations with the Kubernetes cluster, multiple public clouds and offers good automation support.
Serverless and PaaS
Serverless computing and platform-as-a-service back-end architecture are quite similar because they keep the back-end invisible to the developers.
Serverless applications scale automatically, instantly, and on-demand without the need for extra configuration from the developer.
On the other hand with PaaS developers have to do a certain amount of forecasting although it can be set to scale up and down based on users' demand.
1. AWS Lambda
Best Serverless and PaaS for Running Codes.
AWS Lambda is a software that lets you run food without managing or provisioning servers. With AWS Lambda, you only get to pay for the computer time you use; there is no charge when your code is not running.
The tool allows you to run code for any type of application or back-end service with zero administration. You just need to upload your code and Lambda will ensure that everything required to scale and run code is available.
You can decide to set up your code to trigger other AWS services automatically or directly call it from any mobile or web app.
Lambda is a cloud, SaaS, and web-based tool that provides a serverless computing platform that aids businesses in application building, code running, and automatically executing events across applications.
Best Serverless and PaaS for Seamless Scalability.
Heroku is a cloud application platform that brings data, compute, and workflows together for a high-productivity experience. It provides a great experience for developers with enterprise-grade collaboration, control, and compliance.
The software supplies enterprise teams with the quickest path to providing trusted customer experience at a scale.
Heroku has enhanced privacy in a network-isolated runtime environment with seamless scalability in meeting enterprise demands.
It also provides automated CI/CD workflows for team collaboration and can integrate with Salesforce data to build a personalized experience.
Best Serverless and PaaS for Cloud Messaging.
Google Firebase is a software that gives developers customized notification content, unlimited reporting of events, and instant message targeting.
Google Firebase can easily synchronize app data between different devices and send notification updates to its users automatically.
With Google Firebase, a developer can easily create trigger functions that determine new user sign-ups, data changes, or conversion events.
With Cloud messaging, you can create targeted messages through the use of predefined segments based on the receiver's behavior and demographic, specify frequency limit for the number of views, and set up message publishing schedules.
It offers integration with several third-party applications like PagerDuty, JIRA, Slack as well as Google's native platforms like Google ads, Big Query and Playstore.
Best Serverless and PaaS for App Delivery to Several Clouds.
Cloud Foundry is an open PaaS that helps you scale and deploy applications in seconds without restricting yourself to a single cloud. It is a cloud-native platform that lets you continuously develop to all major public and private clouds using a single platform.
The software has been proven to increase feature delivery with higher developer productivity. Risk in your portfolio is reduced thanks to its inbuilt security and self-healing abilities while ensuring high availability at scale to ensure customers are facing the system online even with the most challenging circumstances.
Artifact Management Tools
An artifact management tool is also known as an artifact repository is an application used for versioning, storing, and deployment of artifacts for builds.
Artifacts are packages created throughout the development and release dates. An artifact management tool is a software that is used to store these artifacts and your team can interact with the packages using an artifact manager.
Best Artifact Management Tool for Performance Optimization.
Sonatype NEXUS is an open-source management tool that supports artifact format in NPM, Docker, and Java. Your toolchain pipelines can retrieve and publish version apps and their dependents with the Nexus tool integration.
Used by over five million developers around the world, it provides your team with a single truth source for every component they make use of.
Sonatype NEXUS also delivers universal coverage for every major package format or type. It allows the installation of an unlimited number of servers for an unlimited number of users.
The platform is compatible with popular tools such as Hudson, Docker, Chef, Jenkins, Puppet, Eclipse, and many more.
Best Artifact Management Tool for High-Quality Software Shipping.
Known for its ability to ship high-quality software efficiently and continuously, JFrog Artifactory is the core of the JFrog DevOps platform and standard in the industry for universal binary repository managers.
It is behind the software updates for companies like Netflix, HBO, Amazon, Google, Tesla, Uber, Twitter, Cisco, and many more, making the management and delivery of their software easy at a speech that supports world-class services.
JFrog supports all major package managers and happens to be the leading Kubernetes registry to manage application packages, operating system components dependencies, Docker containers, open-source libraries, and Helm charts with visibility of all dependencies.
Best Artifact Management Tool for Data Redundancy Management.
CloudRepo is a DevOps tool that fully manages private and cloud-based repositories. Developers can access and store private and public, Python and Maven repositories in the cloud.
With CloudRepo, you can store Maven repositories in several physical servers thereby reducing the possibility of data loss and Maven repositories downtime as a result of hardware failure.
CloudRepo helps you reduce the time and resources you spend running vulnerable Maven repositories which allows everyone to focus on software building.
It is the Artifactory alternative for high-level performance teams with enterprise-level concerns.
Although JFrog Artifactory's storage mechanism can be configured to be redundant, CloudRepo does this automatically with data stored in various locations without requiring time from your team.
Codeless Test Automation Tools
Codeless automated testing means the execution of automated testing without a script.
It can be challenging for QA engineers to write automated scripts as the code is required to be written in every suitable programming language and has proven to be arduous and time-consuming.
When you utilize codeless automated testing, you can reduce the testing time over repetitive tests without coding efforts.
Best Codeless Test Automation Tool for Application Quality Improvement.
AccelQ is a codeless automation testing tool that provides automation to the entire quality value chain to speed time to market and help build better software quality.
This DevOps tool is structured on a cognitive or engine that brings the power of predictive analytics autonomous in test automation, scenery design, and adaptive change management in traceability.
It provides the implementation of an agile quality lifecycle approach, integrating the normal test silos into an end-to-end automated process using its quality-driven development.
AccelQ is the ideal choice for you if you are looking to improve your application's quality and achieve in-sprint automation that is coupled with continuous delivery.
Best Codeless Test Automation Tool for Easy Connection to DevOps Tools.
Appvance IQ is a unified test automation system that is AI-driven. It provides transformational productivity gains in the creation and execution of tests.
The former is done with AI scripting and Codeless Test creation while the latter is done through unified functional, security, and performance testing.
It is easy to adopt, partly because it runs native scripts from other automation and can easily be connected to DevOps tooling.
The system accelerates software delivery, lowers cost, and reduces risk by eliminating redundancy of traditional silo approaches to software quality assurance automation.
Best Codeless Test Automation Tool for Mobile Devices.
Testim.io is the quickest path to resilient end-to-end codeless and coded text with customers like Wix, Microsoft, JFrog, and NetApp that run countless tests on this platform.
It allows you to create table code less test that leverages on its AI but it can also be flexible enough to export these tests as codes.
Cloud Computing and Storage
Cloud storage is a cloud computing model that preserves data on the Internet using a cloud computing provider that operates and manages data storage as a service.
Cloud computing; however, is used to work on and complete specified projects. Cloud computing and cloud storage are linked because you have to move data to the cloud before you can make use of cloud computing systems.
Best Cloud Computing and Storage for Easy to Use Cloud Services.
DigitalOcean's main focus for its cloud service is developers; however, it provides a globally available, high-performance public cloud service for anyone to use.
This cloud service is notable for several things which include simplicity in its design and that it provides a clean design at all levels. DigitalOcean is also easy to use and understand, and it performs very well.
Although it doesn't beat Amazon Web Services (AWS), DigitalOcean provides a cloud service that provides basic services in a well-designed environment.
The DigitalOcean cloud offers you a selection of Linux and Unix servers that spread across 12 data centers.
Using these servers, you get a range of configuration options ranging from one to 32 virtual CPUs, solid-state drive (SSD)-based storage, and a collection of services.
Best Cloud Computing and Storage for Wider Range of Third-Party Integrations.
Amazon Web Service is one of the best options for most businesses and applications. It is the largest IaaS offering and offers one of the most comprehensive sets of tools, including a burgeoning list of third-party integrations.
AWS is a mature product and service offering that ensures most things work well and setup and management are familiar and intuitive. It has an impressive level of service which smaller players will find hard to compete with.
Some of the various services in AWS include a wider collection of partners and that lets you build exactly the cloud service you need.
With its wide variety of other AWS cloud services from cloud databases to e-commerce storefronts, you can build an end-to-end workload with custom-coded apps and management tools.
Amazon Web Services can not only run various services but also support a wide range of operating systems.
3. Google Cloud
Best Cloud Computing and Storage for Global Networking.
Google Cloud Platform (GCP) is an Infrastructure-as-a-Service (IaaS) solution that offers integration with several Linux distros as well as with Windows Server.
It covers up to 15 regions, each with a minimum of three zones. Each zone has several data centers and this is increasing as Google continues to build storage infrastructure.
Google's global networking is a notable asset when considered with the wide choices in networking that it provides to GCP users.
It is easy to use, well designed, and provides a wide selection of assets including network infrastructure and virtual networking. Google Cloud Platform is an excellent Infrastructure-as-a-Service (IaaS) solution with various cloud services that appeal to users of Google services.
Best Cloud Computing and Storage for Linux Compatibility.
Microsoft Azure is currently one of the top contenders in the public cloud space going head-to-head with Amazon Web Services across performance and capability. It is a very convenient tool for Linux users no matter the distro in consideration.
One of the best functions of Microsoft Azure is its Linux friendliness especially because it extends beyond the virtual infrastructure guest operating system to the Linux-based counter architecture, Docker also.
You can run several Linux distributions like SUSE, Ubuntu, Centos, and many others, despite Microsoft Azure being built on top of a Windows Hyper-V framework.
Microsoft Azure has a growing arsenal of ancillary services and is friendly to other operating platforms.
5. IBM Cloud
Best Cloud Computing and Storage for Integration with IBM Services.
IBM Cloud is a tool that delivers a secure, collaborative cloud-based environment that accelerates the full lifecycle of application development, deployment, and delivery.
It is a combination of PaaS and IaaS that allows businesses of all sizes to create custom apps and automate infrastructure deployment. IBM Cloud which was formerly called SoftLayer is IBM's attempt at redefining what cloud means.
The offers are more than just Infrastructure-as-a-Service (IaaS) as part of its wide portfolio of services. These services include a combination of typical public cloud services with IBM-branded services.
You can also get access to a strictly virtual infrastructure and cloud service-style applications.
With IBM Cloud, you can decide to add developer services and even access the IBM Watson supercomputer and the Watson Assistant.
What is a DevOps Tool?
While we have listed different types of DevOps tools, given a few examples with their functions, we are yet to discuss the definition of DevOps tools.
DevOps Tool is an application that helps you automate the entire software development process from conflict management to build deployment and also reduces manual effort.
The core functionality of DevOps is ensuring that people and processes work in harmony.
The only way this can work is when people have open and collaborative working relationships.
This is why the main focus of DevOps is on collaboration and communication between software development, product management, and operations professionals.
Benefits of Using DevOps Tools
It is not an easy task for a business organization to be ahead in the competitive market and have more efficiency in delivering the best features to customers in the set time. We have listed below some of the main benefits that your business will enjoy after adopting the DevOps way of working:
1. Faster Deployment
DevOps tools ensure faster and more frequent delivery of updates and features that not only satisfy the customers but can also help your company in taking a firm stand in the over-competitive market.
2. Work Environment Stabilization
The tension involved in the release of new features, fixes, or updates can disrupt the stability of your workspace and decrease the overall productivity of your team.
You can improve the stability of your work environment with a well-balanced approach to operation with DevOps practice.
3. Improvement in Product Quality
The collaboration between operation and development teams' frequent capturing of user feedback can lead to significant improvement in the quality of the product.
4. Repetitive Tasks Automation Provides More Room for Innovation
DevOps has better benefits when compared to the traditional model because it helps in the detection and correction of problems quickly and efficiently.
As the flaws are tested repeatedly through automation, the team gets more time in the frame and implements new ideas.
5. Promotes Business Agility
It is a known fact that ensuring that your business is agile can help you to stay ahead in the market. With DevOps, it is possible to obtain the scalability required to transform your business.
6. Reliable and Fast Problem-solving Techniques
DevOps ensure that there is a quick and stable solution to technical errors that may occur in software management.
7. Transparency that Leads to High Productivity
DevOps eliminates silo(ing) and promotes collaboration, thereby allowing easy communication among the team members, ensuring they are more focused in their specialized field.
The incorporation of DevOps practices will also lead to an increase in the productivity and efficiency of your employees.
8. Reduced cost of production
Using proper collaboration, DevOps also helps in reducing the management and production costs of each department, because both maintenance and new updates are brought under a single umbrella.
We must note that different stakeholders have different business goals and their individual business goals will make them look at the benefits of DevOps differently.
The perspective of the CEO is different from that of the CIO, whose perspective is similar to that of an IT Manager but may differ from some other stakeholders.
This difference in perspective when looking at the benefits of DevOps was researched by David Linwood, a renowned IT Director who referred to their different perspectives as ‘lenses’.
From an IT manager's point of view, output performance metrics determine the advantages of DevOps.
The CTO / CIO of an organization is likely to focus more on the strategic goals involving people-centric metrics for the successful execution of DevOps.
However, for a CEO, the benefits of DevOps are determined by the business-based results of decreased production costs and increased revenue.