30 Beste DevOps-Tools im Test für 2026

When your release cadence speeds up, code quality and security can quietly drift out of view. SonarQube gives your DevOps team a shared place to track bugs, vulnerabilities, and technical debt as part of every build, not as an afterthought. By integrating into your existing CI/CD workflows, it helps ensure that every line of code meets high-quality standards, making it an essential tool for anyone looking to improve code integrity.

Why I Picked SonarQube

I picked SonarQube for its strong focus on automated code reviews and static code analysis, which are crucial for maintaining code quality in DevOps environments. Its ability to integrate into CI/CD pipelines allows your team to detect and address code vulnerabilities early in the development process. Additionally, the tool's support for over 35 programming languages ensures that it can adapt to diverse coding environments, making it a versatile choice for teams with varied technological stacks.

SonarQube Key Features

I'm also impressed by its other features that support its role as a key DevOps tool:

• Advanced Security Testing: Provides automated security scans to identify vulnerabilities in the codebase.
• Quality Gates: Acts as an automated checkpoint that prevents code with issues from being deployed, ensuring only high-quality code is pushed to production.
• Taint Analysis: Tracks data flow to identify possible injection vulnerabilities, enhancing security measures.
• Secrets Detection: Scans for leaked API keys and passwords to prevent unauthorized access.

SonarQube Integrations

Integrations include GitHub, GitLab, Bitbucket, Azure, Jenkins, TravisCI, CircleCI, Codemagic, Amazon CodeCatalyst, and Atlassian Jira.

Files.com is a cloud-native managed file transfer (MFT) platform that helps DevOps teams securely automate file flows across cloud providers, applications, and partners. With broad protocol support, it integrates into CI/CD pipelines to streamline file sharing, data ingestion, and compliance-heavy workflows.

Why I picked Files.com: I chose Files.com because it solves one of the pain points DevOps teams often face: handling file transfers reliably and securely across different environments. By supporting a wide range of protocols—like SFTP, AS2, HTTPS—and over 50 cloud connectors, Files.com reduces complexity and minimizes the risk of failed or insecure transfers.

You can also use its Terraform integration and robust APIs to treat file infrastructure as code, which makes it easier to standardize processes and avoid configuration drift.

Files.com Standout Features and Integrations:

Features include a unified file fabric that consolidates storage into a single namespace, built-in human workflows for approvals and collaboration, and enterprise-grade encryption with full audit trails for compliance.

Integrations include Amazon S3, Dropbox, Google Drive, Box, SharePoint, Microsoft Office, Slack, Okta, Auth0, Zapier, SFTP, and Terraform.

QA Wolf is a hybrid test automation platform that offers round-the-clock expert support for monitoring and maintaining a wide range of tests for web and mobile applications, making it ideal for DevOps teams looking for a more efficient process

Why I picked QA Wolf: As a DevOps tool, QA Wolf focuses on various aspects of application testing, such as performance testing, regression testing, and accessibility testing. These tailored automated tests are designed and maintained by QA Wolf's experts, offering 24-hour support for DevOps teams. QA Wolf integrates into CI/CD pipelines, allowing for continuous testing and immediate feedback on code changes. The platform also offers parallel testing features for multiple tests to run at the same time.

QA Wolf Standout Features and Integrations:

Features include the automation of thousands of tests using open-source Playwright code, unlimited parallel runs for efficiency, 24-hour maintenance and on-demand test creation, detailed test reports, and the ability to record and replay tests.

Integrations include Jenkins, Jira, Asana, Linear, Slack, Microsoft Teams, GitHub, GitLab, Bitbucket, Azure DevOps, Travis CI, and CircleCI.

ManageEngine Applications Manager is a comprehensive tool designed for real-time issue detection and monitoring of applications, helping businesses troubleshoot and address performance anomalies before they affect operations. Cameron Rimington, Founder and CEO of IronPDF, shared: “With network mapping we can see how data moves between our servers and stacks. It quickly pinpointed where requests were getting stuck, allowing us to diagnose intermittent slowdowns without the guesswork.”

Why I Picked ManageEngine Applications Manager: ManageEngine Applications Manager excels by offering a unified platform for monitoring and managing the performance of applications across various environments. It facilitates continuous monitoring, which is critical for the DevOps practice of continuous integration and continuous delivery (CI/CD). With its ability to provide actionable insights and automate routine tasks, it helps DevOps teams reduce downtime, improve deployment frequency, and ensure a seamless end-user experience.

Standout Features and Integrations

Features include its ability to automatically discover and map the dependencies of various applications and servers within an IT ecosystem. This feature provides IT administrators with a visual map of how different applications and servers interact with each other, making it easier to understand the complex relationships and dependencies within their IT infrastructure. Additional features include application performance monitoring, real-time analytics, cloud and on-premises monitoring, automated workflows, customizable dashboards, root cause analysis, synthetic transaction monitoring, server and database monitoring, application dependency mapping, and alert management.

Integrations include Amazon Web Services (AWS), Microsoft Azure, Oracle Database, Microsoft SQL Server, VMware, Docker, Apache Tomcat, SAP, Office 365, and Slack. 

Site24x7 is a cloud-based monitoring solution designed for DevOps and IT operations teams. It offers comprehensive monitoring capabilities for websites, servers, applications, and network infrastructure, providing real-time insights into performance and availability.

Why I picked Site24x7: I like its application performance monitoring (APM) capabilities. It supports various programming languages and frameworks, including Java, .NET, Ruby, PHP, Node.js, and mobile platforms. This allows your team to monitor application performance in real-time, identify bottlenecks, and perform root cause analysis down to the line of code. It also offers real user monitoring (RUM), allowing you to gauge the experience of actual users on your websites and web applications through segmented metrics, like browser, platform, geography, and ISP.

Site24x7 Standout Features and Integrations:

Features include synthetic web transaction monitoring, which allows you to record and simulate multi-step user interactions in a real browser to optimize critical user paths like login forms and shopping carts. Additionally, Site24x7 offers network monitoring to comprehensively oversee critical network devices such as routers, switches, and firewalls, providing the visibility needed to manage complex networks effectively.

Integrations include ServiceNow, PagerDuty, Jira, Microsoft Teams, Slack, Nagios, AWS, Azure, Google Cloud Platform, Docker, Jenkins, and Kubernetes.

GitHub is a cloud-based service that allows developers to manage their code repositories and collaborate remotely with their team. It also integrates with various DevOps tools.

Why I picked GitHub: Distributed workforces can make collaboration challenging, which is why I chose GitHub as one of the top DevOps tools. Its distributed version control system (DVCS) replicates code repositories and tracks individual changes for each user. This means users can work independently and merge their changes later, regardless of their location.

GitHub Standout Features and Integrations:

Features that I think make GitHub a great tool for DevOps teams include GitHub Actions—a tool that allows you to build, test, and deploy applications from your GitHub repository. You can create your own actions or access pre-built workflows from the GitHub Marketplace. Another standout feature is GitHub Issues, which allows you to visualize projects as boards or tables and assign tasks to different users.

Integrations are pre-built for various platforms like CodeFactor, Azure Pipelines, Codacy, Jira, Argos CI, Slack, and DevHub.

Docker is an open-source containerization platform that allows developers to package and deploy applications in isolated environments called containers.

Why I picked Docker: I put Docker on this list because containers are a game-changer for streamlining DevOps and Docker is arguably the best platform for developing containerized apps. Instead of setting up multiple virtual machines, you can use Docker to create a single container configuration that runs the same way atop any infrastructure, whether on-premise or in the cloud. The portable nature of Docker containers means you can quickly deploy applications to your production environments.

Docker Standout Features and Integrations:

Features that make me recommend Docker to DevOps teams include its scalability. Docker’s ability to spin up multiple instances of a container means that developers can scale their applications up or down based on workloads. Docker also supports version control, so you can roll a container image back to a previous version if necessary.

Integrations are available natively with integrated development environment (IDE) tools like Visual Studio Code, IntelliJ IDEA, and GitPod. Other native integrations include GitHub Actions, GitLab, CircleCI, and Render.

Pulumi helps businesses automate any cloud infrastructure through code, handle secrets sprawl and configuration complexity through secrets management and orchestration, and manage cloud assets and compliance with the help of AI. Pulumi encourages infrastructure, platform, development, DevOps, and security teams to collaborate, accelerating time to market with greater control and minimized risk.

Why I picked Pulumi: I like that it offers insights, that use AI-driven infrastructure management to help your team monitor and improve cloud resources. It's not just about tracking what's going on; it's about getting actionable insights that lead to better decisions and quicker problem-solving. Pulumi supports multiple programming languages like Node.js, Python, Go, .NET, Java, and YAML. This flexibility means you can stick with the languages you're already comfortable with, speeding up deployment and reducing the learning curve, especially if you're moving from other tools.

Pulumi Standout Features and Integrations:

Features include the Pulumi Copilot which supports intelligent cloud management by providing guidance and assistance in managing your cloud infrastructure efficiently. Additionally, Pulumi CrossGuard emphasizes security and compliance, ensuring secure configuration and secrets management across your cloud infrastructure.

Integrations include AWS, Azure, Google Cloud, Kubernetes, Docker, GitHub, GitLab, Datadog, MongoDB, PostgreSQL, Terraform, and Vault.

Netdata is an open-source observability, monitoring, and troubleshooting platform that offers high-resolution metrics, journal logs, and real-time visualizations for infrastructure monitoring. Its unique selling point lies in its ability to provide high-fidelity data for troubleshooting emerging issues in real-time.

Why I Picked Netdata: I chose Netdata because of its comprehensive real-time monitoring capabilities, which are supported by high-resolution metrics and real-time visualizations. Its open-source nature and minimal resource usage make it a compelling choice for infrastructure monitoring. Netdata stands out due to its user-friendly interface, which simplifies IT operations, and its support from the Cloud Native Computing Foundation, which underscores its reliability and scalability.

Netdata Standout Features & Integrations

Features include alerts to notify users of any issues detected within the system, automatic anomaly detection, and automated and customizable dashboards. Additionally, the core of the Netdata ecosystem is open-source, and it includes all the monitoring features such as the database, query engine, scoring engine, health engine, and machine learning engine.

Integrations include Containers, Kubernetes Containers, Virtual Machines, Apache, Consul, Elasticsearch, OpenSearch, MySQL, Redis, Squid log files, Windows, macOS, and hundreds more.

New Relic is a real-time application performance monitoring (APM) tool that helps developers identify and resolve infrastructure issues. Steve Morris, Founder and CEO at NEWMEDIA.COM, shared: “The DORA numbers from Google Cloud say elite teams can restore service in less than an hour; deployment markers get you very close to this goal. In our shop they cut time to resolution for release-related incidents almost 75%.”

Why I picked New Relic: I should point out that New Relic is primarily an infrastructure monitoring tool. However, I included it in this list because DevOps teams can use it to monitor the performance of their applications in real time. The insights the platform delivers can help you improve software performance and deliver better customer experiences.

New Relic Standout Features and Integrations:

Features that make New Relic stand out as a monitoring tool include its error-tracking capabilities; development teams can monitor errors in a single view and get all the details they need to identify root causes. Comparing code changes with historical data can help you assess your code’s impact on performance. I also like that its integration with Slack facilitates collaboration and enables teams to resolve issues before they affect end users.

Integrations are available natively for over 600 platforms and services. Notable integrations include Amazon ECS, CentOS, Elasticsearch, Kafka, MariaDB, MySQL, PostgreSQL, and Redis.

Chef Automate is a DevOps platform that enables organizations to automate the process of managing, deploying, and securing their cloud infrastructure.

Why I picked Chef: I picked Chef for its robust cloud security management, which enforces compliance with industry best practices to protect your infrastructure. It works for on-premise and public cloud environments, as well as container and Kubernetes deployments.

Chef Standout Features and Integrations: asdf

Features that I think make Chef stand out include its IAC scanning tools that automatically scan your infrastructure for security vulnerabilities or misconfigurations. If your company operates in an industry with strict regulatory standards, using Chef can help ensure compliance. It can also automatically reconfigure IT resources at scale before they go into production.

Integrations are available natively for cloud platforms like AWS, GCP, and Azure. You can also use Chef’s native integration with ServiceNow to automate your IT operations and Terraform to provision infrastructure for the cloud.

Atlassian Open DevOps is a platform that integrates Jira and partner tools, allowing DevOps teams to build a stack that supports their development processes.

Why I picked Atlassian Open DevOps: If you’re looking for a way to centralize the DevOps tools you use, I recommend checking out Atlassian Open DevOps. It combines four of Atlassian’s tools into one platform: Jira for issue tracking, Bitbucket for CI/CD, Opsgenie for incident response, and Confluence for documentation. You can also add the tools you use to fit your workflow.

Atlassian Open DevOps Standout Features and Integrations:

Features that impressed me about Atlassian Open DevOps include its native support for a host of tools that support the entire DevOps life cycle. One-click installations made it easy for me to add the tools I regularly use and configure the platform based on my needs. With Atlassian Open DevOps, you get access to Jira’s extensive automation template library, where you can automate repetitive tasks across your projects.

Integrations are available natively for various platforms like Bitbucket, CircleCI, Datadog, Dynatrace, GitHub, Jenkins, Microsoft Teams, Miro, Slack, and PagerDuty. There are also pre-built integrations available through the Atlassian Marketplace.

AWS CloudFormation is an infrastructure automation platform that allows developers to manage and deploy resources in AWS using template text files.

Why I picked AWS CloudFormation: I put AWS CloudFormation on this list because you can use it to automate the deployment and configuration of practically any AWS service, like Elastic Compute Cloud (EC2), Simple Storage Service (S3), and Identity and Access Management (IAM) roles. By automating the deployment of your AWS resources, you can reduce time-consuming tasks and the risk of manual errors.

AWS CloudFormation Standout Features and Integrations:

Features that make AWS CloudFormation worth learning, in my opinion, include its deployment speed. With a JSON or YAML text template, you can instantly provision multiple AWS resources in one go. Of course, you’ll have to spend time setting up a template, but I found it far more efficient than manually setting up deployments using the AWS Command Line Interface (CLI).

Integrations Native integrations are available for dozens of tools, including network scanning solutions such as Faddom and Autobahn network scanning, AI monitoring tool Mona, and no-code development platforms like AppMater and Neptune DXP.

Ansible is an open-source platform that allows organizations to automate IT tasks like cloud provisioning and application deployment.

Why I picked Ansible: I picked Ansible because of its simplicity in automating repetitive IT tasks. The platform uses “playbooks” in simple yet another markup language (YAML) that tell Ansible what to do. This enables you to automate aspects of your infrastructure without writing custom code from scratch.

Ansible Standout Features and Integrations:

Features that I believe differentiate Ansible from other DevOps tools include its declarative language for easily defining the end state of your system. The agentless architecture means you don’t need to install software on your host server or set up a separate management structure. I also liked that the automation could be deployed easily both in the cloud and on-prem.

Integrations include native options for platforms like VMware, Cisco, Juniper, AWS, Microsoft Azure, GitHub, ServiceNow, Dynatrace, and Splunk.

For development teams seeking a reliable solution to orchestrate their containerized applications, Kubernetes is an exceptional choice that caters to diverse business needs and industry requirements. It offers a sophisticated platform for automating the deployment, scaling, and management of application containers across clusters of hosts, making it particularly appealing to organizations aiming to streamline their application development and deployment processes. Kubernetes addresses the challenge of managing complex, distributed systems by providing a robust framework for service discovery, load balancing, and automated rollouts, ensuring that your applications remain resilient and scalable in dynamic environments.

Why I Picked Kubernetes

I picked Kubernetes for its unparalleled capability in container orchestration, a critical feature for any DevOps tool. Kubernetes excels with its automated rollout and rollback system, which allows you to deploy changes incrementally while monitoring the health of your applications, minimizing downtime and risk. Additionally, its service discovery and load balancing features ensure that your containers communicate seamlessly, providing a stable and efficient infrastructure. These functionalities are essential for teams looking to maintain high availability and performance in their applications, making Kubernetes an indispensable tool for modern DevOps environments.

Kubernetes Key Features

In addition to its leading role in container orchestration, Kubernetes offers several key features that enhance its utility as a DevOps tool.

• Storage Orchestration: This feature allows you to automatically mount the storage system of your choice, whether from local storage, a public cloud provider, or a network storage system.
• Self-Healing: Kubernetes automatically restarts containers that fail, replaces and reschedules containers when nodes die, and kills containers that don't respond to user-defined health checks.
• Secret Management: It provides a way to securely store and manage sensitive information, such as passwords, OAuth tokens, and SSH keys, reducing the risk of exposure.
• Horizontal Scaling: Kubernetes can scale your application up and down with a simple command or based on CPU usage, ensuring optimal resource utilization.

Kubernetes Integrations

Integrations include Prometheus, Grafana, Istio, Helm, Fluentd, Linkerd, Kustomize, KNative, Calico, and Envoy.

Terraform is a cloud infrastructure automation tool from HashiCorp. It enables DevOps teams to manage and provision resources across on-premise and cloud environments.

Why I picked Terraform: I chose Terraform because it facilitates multi-cloud provisioning at scale—something that’s increasingly important as more companies rely on multiple cloud providers for their infrastructure. With Terraform, you can use the same workflow to provision resources and manage workloads across different providers.

Terraform Standout Features and Integrations:

Features that I liked in Terraform include its built-in drift detection capabilities that can identify configuration drift in your deployments. It does this by comparing the current state of your infrastructure against the desired state in your configuration file. The system reports any differences as drift, allowing you to maintain the integrity of your deployments.

Integrations are available natively for version control system (VCC) providers like GitHub, GitLab, Bitbucket, and Azure DevOps. Other native integrations include CI/CD tools GitHub Actions and CircleCI.

Jenkins is an open-source Java-based automation server that facilitates the continuous integration and continuous delivery (CI/CD) process.

Why I picked Jenkins: I chose Jenkins for its flexibility. It offers thousands of community-built plugins, which you can customize the platform to fit a massive range of use cases. And because it was developed as a self-contained Java program, it can run on most operating systems.

Jenkins Standout Features and Integrations:

One feature I like about Jenkins is it allows you to distribute builds across multiple environments, which makes testing and deploying code more efficient. I also like that the platform is open-source and backed by a large community of developers.

Integrations include over 1,800+ pre-built plugins. These include Git and Subversion for version control, Apache Maven and Gradle for build tools, and JUnit and Cucumber for testing.

TeamCity is a CI/CD server from JetBrains that enables DevOps teams to automate the testing and deployment of software applications.

Why I picked TeamCity: Your end-users expect frequent software updates with new features and bug fixes, which is why I chose TeamCity. It helps you deliver these new versions quickly by automating code testing in your CI/CD pipeline. The fact that it provides instant feedback with associated code changes and builds artifacts makes it easier to troubleshoot issues.

TeamCity Standout Features and Integrations:

Features that impressed me about TeamCity are its code quality tracking features. These include support for testing frameworks like JUnit and code coverage tools like IntelliJ IDEA that assess new builds in your pipeline before you commit them. TeamCity also lets you create build configuration templates. You can apply these templates to new projects instead of setting up CI/CD pipelines from scratch.

Integrations are available natively for various platforms and services, including AWS, Microsoft Azure, Kubernetes, VMware, Mercurial, and Perforce.

Puppet is an open-source configuration management platform that automates the process of managing and configuring servers across your infrastructure.

Why I picked Puppet: I picked Puppet because it automates server management at scale—for example, it allows you to create unique configurations for each host and enforce desired states for certain systems. Puppet saves you a lot of time compared to manually configuring virtual machines.

Puppet Standout Features and Integrations:

Features that make Puppet stand apart from the others for configuration management, in my opinion, is that it actively monitors and enforces desired states across your environments. This feature helps combat “configuration drift”—when ad hoc or unauthorized changes are made to a server without any records. Puppet addresses configuration drift by reverting configurations to a compliant state to improve reliability.

Integrations are available natively for various platforms, including AWS, Red Hat, ServiceNow, Splunk, VMware, Google Cloud Platform (GCP), and Microsoft Azure.

monday dev is a platform tailored for agile and DevOps teams to manage the entire development lifecycle. It offers tools for planning, tracking, and automating workflows to enhance team collaboration. 

Why I picked monday dev: monday dev’s sprint management feature provides a structured approach to plan, execute, and review sprints, ensuring all stages of development are accounted for. The burndown chart allows you to monitor progress and identify potential roadblocks early by comparing actual effort with planned progress. Additionally, its automation capabilities let you create custom workflows to reduce repetitive tasks, ensuring your team focuses on higher-value work.

monday dev Standout Features and Integrations:

Features include a dedicated space for knowledge management through its documentation tools, allowing teams to centralize information like release notes and best practices. The incident tracking system helps teams log and resolve issues efficiently, minimizing downtime. Furthermore, it provides multiple visualization options like Kanban boards and Gantt charts to track progress and adjust plans in real time.

Integrations include Slack, Microsoft Teams, GitHub, GitLab, Jira, Figma, Outlook, Gmail, Zoom, Google Calendar, Zendesk, and Google Drive.