Best Web-Based DevOps Software of 2025 - Page 5

Octopus Deploy was founded in 2012 and has enabled successful deployments for more than 25,000 companies worldwide. Octopus Deploy was the first release orchestration and DevOps automation tool. They were limited to large enterprises, slow, and didn't deliver on their promises. Octopus Deploy was first to be adopted by software teams. We continue to innovate new ways for Dev & Ops to automate releases and deliver software to production. Octopus Deploy provides a single location for your team: - Manage releases - Automate complex application deployments - Automate routine or emergency operations tasks Octopus is different because it focuses on repeatable, reliable deployments and has a deep understanding about how software teams work. Octopus is our philosophy about what makes good automation. This philosophy has been refined over a decade of many thousands of successful deployments. Octopus is designed to handle the most complex deployments.

Monitor software deployments across your remote team’s entire DevOps framework. Enhance system availability and prevent issues linked to changes before they are released. Offer insights for you and your stakeholders into the effectiveness of your deployments by utilizing historical data and dashboards that showcase performance trends. Achieve comprehensive visibility and reporting throughout your team’s DevOps ecosystem, ensuring that everyone is aligned and informed. This proactive approach fosters a culture of accountability and continuous improvement within your team.

JFrog Pipelines enables software development teams to accelerate the delivery of updates by automating their DevOps workflows in a secure and efficient manner across all tools and teams involved. It incorporates functions such as continuous integration (CI), continuous delivery (CD), and infrastructure management, automating the entire journey from code development to production deployment. This solution is seamlessly integrated with the JFrog Platform and is offered in both cloud-based and on-premises subscription models. It can scale horizontally, providing a centralized management system capable of handling thousands of users and pipelines within a high-availability (HA) setup. With pre-built declarative steps that require no scripting, users can easily construct intricate pipelines, including those that link multiple teams together. Furthermore, it works in conjunction with a wide array of DevOps tools, and the various steps within a single pipeline can operate on diverse operating systems and architectures, thus minimizing the necessity for multiple CI/CD solutions. This versatility makes JFrog Pipelines a powerful asset for teams aiming to enhance their software delivery processes.

Hostman is a cloud platform that scales and deploys web applications. It automates DevOps and comes with CI/CD. This saves developers a lot of time and helps businesses save money. Hostman is intuitive and easy to use. You can host static websites, back end applications, Docker containers and databases on Hostman. Scaling has never been easier. It is easy to enable and scales your application automatically within the limits that you have set. The service is free for your static website and front-end apps. It also includes a global CDN (45 full stack edge locations with 65+ Tbps throughput) and a free SSL certificate. We offer back-end services at a very simple pricing model that uses a pay per use model. Prices start at $6.50 Our service is worldwide, so your application can be hosted anywhere in the world. Your services are hosted on AWS, Google Cloud Platform and Azure.

CruzOC is a multi-vendor, scalable network management and IT operations tool that provides robust but easy-to-use netops. CruzOC's integrated, automated management features include performance monitoring, configuration management, lifecycle management, and lifecycle management of 1000s of vendors. Administrators can use CruzOC to automate their data center operations and critical resources. This will improve network and service quality, speed up network deployments and lower operating expenses. The result is comprehensive and automated problem resolution from a single-pane-of-glass. Cruz Monitoring & Management. Monitoring & Analytics, NMS -- health, NPM traffic, log, and change. Automation & configuration management -- compliance and security -- orchestration, provisioning. Automated deployment -- auto-deploy, ZTP, remote deploy. Deployments are available both on-premises and in the cloud.

Faros AI combines all your operational data from multiple sources and enhances them with machine learning signals. The Faros AI Engineering Operations Platform allows you to harness this data so you can accelerate productivity, and better manager your engineering operations. With Faros AI, engineering leaders can scale their operations in a more data-informed way — using data to identify bottlenecks, measure progress towards organizational goals, better support teams with the right resources, and accurately assess the impact of interventions over time. DORA Metrics come standard in Faros AI, and the platform is extensible to allow organizations to build their own custom dashboards and metrics so they can get deep insights into their engineering operations and take intelligent action in a data-driven manner. Leading organizations including Box, Coursera, GoFundMe, Astronomer, Salesforce, etc. trust Faros AI as their engops platform of choice.

Experience comprehensive, zero-instrumentation monitoring that covers errors, outages, and service degradation from every angle. With this solution, you can confidently become the DevOps hero your team needs. While deploying web applications at scale has become increasingly straightforward, the challenge of monitoring them remains significant, often leading to a disconnect from user experiences. Honeybadger streamlines your production environment by integrating three essential types of monitoring into one user-friendly platform. By actively monitoring and resolving errors, you can enhance user satisfaction. Stay informed about the status of your external services and be alerted to any issues they may encounter. Additionally, keep track of your background jobs and ensure they are running smoothly to prevent silent failures. The way users perceive your application during failures presents a valuable chance to foster positive relationships and transform frustration into appreciation. Customers using Honeybadger consistently exceed user expectations by addressing issues before they escalate into complaints, creating a delightful user experience. By leveraging this proactive approach, you can build trust and loyalty among your users.

One area that has not benefited as much from DevOps is the database change process. It is time to bring CI/CD into the database. In the last few years, application release technology has advanced significantly. It used to take weeks, if not months, to release new software. Organizations have changed their workflows and processes so that it takes just days or even hours to release new software. Every software project must perform database schema migrations. There are many reasons why database updates are necessary. New features may require the addition of new attributes to existing tables, or completely new tables. Bug fixes can lead to changes in the names and data types of the database. Additional indexes may be required to address performance issues. Manual rework is still common in DevOps-adopted organizations when it comes to stored procedure and database schema changes.

Experience a seamless feature flag and configuration management service that can be set up in just 10 minutes, designed to accommodate any team size while offering exceptional support and transparency. With ConfigCat's intuitive dashboard, you can easily toggle features on and off even after your application is live. Target specific user segments based on attributes such as location, email, subscription status, or any custom criteria you define. We also facilitate percentage rollouts, A/B testing, and variations to enhance your feature release strategy. As a fully hosted service, ConfigCat allows you to separate the timing of feature launches from code deployments, enabling developers to release their code whenever they complete their work, whether it's fully finished or still in progress. This means you can opt for a soft launch and activate features at your convenience, just like the trendsetters do. With our open-source SDKs, integration with your mobile apps, desktop software, websites, or backend systems is straightforward and hassle-free.

Logilica provides software engineering intelligence platform for modern development teams that need to move fast. Logilica provides end-to-end visibility across the software lifecycle to improve engineering effectiveness and deliver predictably. Engineering leaders love Logilica's out-of-the box insights coupled with their embedded analytics for custom metrics and reporting.

Plandek is an intelligent analytics platform that empowers software engineering teams and leaders to deliver value faster and more predictably. Celebrated by Gartner and Forrester as a 'leading global vendor', Plandek mines data from delivery teams’ toolsets and gives them the opportunity to optimise their delivery process using both intelligent insights and predictive analytics.

Choreo is an advanced internal developer platform designed to streamline and accelerate the creation of digital experiences, empowering teams to build, deploy, monitor, and manage cloud-native applications with ease. With Choreo, developers can enhance productivity while simplifying the entire application lifecycle from development to deployment and beyond. The platform is optimized for improving efficiency and enabling continuous innovation. Choreo is ideal for various use cases, including cloud-native application development, DevOps practices, API management, and seamless integration across systems. This powerful tool allows teams to focus on creating high-quality solutions while automating the complexities of infrastructure management. Choreo ensures a smooth, agile process for building and scaling applications, making it an essential tool for organizations looking to stay ahead in a fast-evolving digital landscape.

Traditional analytics only capture superficial signals, whereas Merico delves into code analysis to focus on what truly matters through comprehensive program evaluation. Measuring engineering performance presents significant challenges, and while a handful of companies attempt this, most rely on flawed and misleading indicators, overlooking valuable opportunities for recognition, growth, and advancement. Up to this point, the tools for analytics and evaluation have largely prioritized surface-level metrics to judge quality and productivity, a practice that developers recognize as inadequate. This insight is the driving force behind the creation of Merico. By offering commit-level analysis, teams gain crucial insights directly from their codebase, ensuring that the data remains accurate and unaffected by the pitfalls of process measurement. This direct connection to the code empowers developers to refine, prioritize, and evolve their work with precision. With Merico, teams can establish transparent shared objectives while effectively monitoring their progress, productivity, and quality through actionable benchmarks, paving the way for continuous improvement and success. Ultimately, Merico transforms the way engineering teams assess their performance, providing them with the tools they need to thrive in a complex development landscape.

RPA software robots integrate with pre-existing systems to increase productivity, speed up decision making, and lower error rates. This allows companies to delegate repetitive and manual tasks to robots, which is a great way to expand. It allows companies to automate their processes technologically, a true digital revolution. TheEye's flexibility and ability to seamlessly integrate workflows without having to change policies is what makes it stand out. It also acts as a technological bridge that allows you to centralize all your existing and new systems without having to purchase expensive licenses. Once the robots have been integrated with their team via TheEye, they can take care of tasks that nobody wants to do. They also save money and don't make mistakes. This allows talent to be aligned with the business and increases its value.

We are the sole provider in the industry capable of autonomously tuning applications at scale, whether for an individual app or throughout the entire service delivery framework. Opsani optimizes your application independently, ensuring that your cloud solution operates more efficiently and effectively without added effort on your part. Utilizing advanced AI and Machine Learning technologies, Opsani COaaS enhances cloud workload performance by perpetually reconfiguring and adjusting with every code update, load profile modification, and infrastructure enhancement. This process is seamless, allowing integration with a singular application or throughout your service delivery ecosystem while scaling autonomously across thousands of services. With Opsani, you can address all three of these challenges independently and without compromise. By employing Opsani's AI-driven algorithms, you can achieve cost reductions of up to 71%. The optimization process carried out by Opsani involves continually assessing trillions of configuration combinations to identify the most effective resource allocations and parameter settings for your needs. As a result, users can expect not just efficiency, but also a significant boost in overall application performance.

Optimize your workloads for improved performance, lower costs and reduced response times - with no code changes needed Granulate will boost your app’s performance by adapting OS resource management to your individual workloads. Whether you’re using on-prem, hybrid or cloud, Granulate’s real-time and continuous optimization solutions will provide impactful results. Granulate is able to achieve autonomous, continuous workload optimization by following these 3 steps: LEARNING - Installed via Daemonset, Dockerfile or CLI, the agent passively learns your service’s data flows, processing patterns and resources contentions. OPTIMIZING - Once activated, the agent will immediately begin tailoring resource scheduling decisions to your service, resolving inefficiencies and increasing performance. REDUCING COSTS - Your workload’s performance gains are automatically leveraged to reduce cluster size and save on Azure compute costs. Granulate is simple to deploy and offers a “set it and forget it” user experience. With Granulate you get results effortlessly with no R&D efforts involved.

You've adopted cloud architecture, yet its intricate nature poses challenges for effective monitoring. The IBM Cloud Monitoring service offers a fully managed solution designed specifically for administrators, DevOps teams, and developers alike. Anticipate in-depth visibility into containers and an array of comprehensive metrics. By utilizing this service, you can lower costs while empowering your DevOps teams and improving the management of the software lifecycle. Set up a cluster to relay metrics to the IBM Cloud Monitoring service seamlessly within the IBM Cloud environment. This enhancement boosts the productivity of system administrators, DevOps professionals, and developers, providing timely notifications regarding various metrics and events. Leverage intuitive dashboards that allow you to assess the health of your entire infrastructure effortlessly. Moreover, you can dynamically discover applications, containers, hosts, and networks while displaying content and controlling access based on specific users or teams. Additionally, configure an Ubuntu host to send metrics directly to the IBM Cloud Monitoring service, ensuring thorough cloud monitoring and troubleshooting across your infrastructure, cloud services, and applications. Ultimately, this service is essential for maintaining optimal performance and reliability in complex cloud environments.

Scribe continuously attests to your software's security and trustworthiness: ✓ Centralized SBOM Management Platform – Create, manage and share SBOMs along with their security aspects: vulnerabilities, VEX advisories, licences, reputation, exploitability, scorecards, etc. ✓ Build and deploy secure software – Detect tampering by continuously sign and verify source code, container images, and artifacts throughout every stage of your CI/CD pipelines ✓ Automate and simplify SDLC security – Control the risk in your software factory and ensure code trustworthiness by translating security and business logic into automated policy, enforced by guardrails ✓ Enable transparency. Improve delivery speed – Empower security teams with the capabilities to exercise their responsibility, streamlining security control without impeding dev team deliverables ✓ Enforce policies. Demonstrate compliance – Monitor and enforce SDLC policies and governance to enhance software risk posture and demonstrate the compliance necessary for your business

JFrog ML (formerly Qwak) is a comprehensive MLOps platform that provides end-to-end management for building, training, and deploying AI models. The platform supports large-scale AI applications, including LLMs, and offers capabilities like automatic model retraining, real-time performance monitoring, and scalable deployment options. It also provides a centralized feature store for managing the entire feature lifecycle, as well as tools for ingesting, processing, and transforming data from multiple sources. JFrog ML is built to enable fast experimentation, collaboration, and deployment across various AI and ML use cases, making it an ideal platform for organizations looking to streamline their AI workflows.

Having the capability to confidently implement and maintain cloud infrastructure is essential for your team's competitive edge in today's market. Understanding the effects of your code allows you to identify and rectify significant errors prior to deployment by consistently simulating alterations within the GitOps framework. Lightlytics provides a visual context-driven risk assessment that highlights the potential impact on your cloud environment with each configuration adjustment. This process not only shortens the time required to evaluate Terraform code modifications but also mitigates the risk of downtime or security vulnerabilities before the code goes live. The simulation engine from Lightlytics leverages the existing configuration state of your cloud alongside the proposed Terraform changes to forecast how the deployment will influence your cloud setup, ensuring your infrastructure remains resilient and secure. By integrating these practices, your team can navigate the complexities of cloud management more effectively than ever before.

Komodor simplifies the troubleshooting process for Kubernetes, equipping you with all the essential tools to resolve issues confidently. It oversees your entire Kubernetes ecosystem, detects problems, reveals their underlying causes, and provides the necessary context for effective and independent troubleshooting. The platform automatically identifies anomalies, deployment failures, misconfigurations, bottlenecks, and various health-related issues. It enables you to recognize potential problems before they escalate and impact end-users. By utilizing pre-designed playbooks, you can enhance root cause analysis, avoid disruptive escalations, and conserve valuable developer time. Moreover, it offers clear remediation guidance that empowers every team member to act like a seasoned troubleshooting expert, fostering a more resilient operational environment. This proactive approach not only enhances team efficiency but also significantly improves overall system reliability.

Stacktape is a user-friendly cloud framework that eliminates the need for DevOps, making it both robust and accessible. It enables users to develop, deploy, and manage applications seamlessly on AWS, requiring 98% less configuration and no prior DevOps or cloud expertise. Unlike other platforms, Stacktape allows for the deployment of both serverless applications based on AWS Lambda and traditional container-based applications. It boasts support for over 20 infrastructure components, including SQL databases, load balancers, MongoDB Atlas clusters, batch jobs, Kafka topics, Redis clusters, and more. In addition to managing infrastructure, Stacktape simplifies source code packaging, deployment processes, and facilitates both local and remote development. The framework is complemented by a Visual Studio Code extension and a graphical user interface for local development, enhancing user experience. As an Infrastructure as Code (IaaC) solution, Stacktape significantly reduces configuration complexity; for instance, a typical production-grade REST API requires only around 30 lines of configuration, contrasting sharply with the 600-800 lines needed for CloudFormation or Terraform. Furthermore, deploying applications can be accomplished with a single command, whether from a local machine or through a CI/CD pipeline, making the process as streamlined as possible. This ease of use allows developers to focus more on building features rather than managing infrastructure intricacies.

Begin utilizing the fully-managed Akuity platform designed for Argo CD, where you can access direct expert assistance from the very creators and maintainers of Argo. Take advantage of a top-tier suite of Kubernetes-native application delivery tools while seamlessly incorporating GitOps practices within your organization. We have transitioned Argo CD to a cloud-based solution for your ease of use. Built with an emphasis on providing the ultimate developer experience, the Akuity platform, complete with comprehensive analytics, is ready for enterprise deployment right from the start. Efficiently manage clusters at scale and securely launch thousands of applications by adhering to GitOps best practices. The Argo Project encompasses a collection of open-source solutions aimed at deploying and managing applications and workloads on Kubernetes. It enhances the Kubernetes APIs, unveiling powerful features for continuous delivery, container orchestration, event automation, and progressive delivery, among others. Argo is recognized as a project under the Cloud Native Computing Foundation (CNCF) and is relied upon in production by prominent enterprises globally. As the demand for cloud-native solutions grows, organizations are increasingly turning to Argo for its robust capabilities and reliability.

Opster's AutoOps platform optimizes mapping, stabilizes operations, and improves resource utilization to reduce hardware costs and improve performance. Orchestration, management capabilities, and ticket-based support are not enough. AutoOps provides all the support you need, in real time. AutoOps can diagnose issues in all aspects of Elasticsearch operations. The system provides precise root cause analysis and also helps to resolve the problem. AutoOps can perform advanced optimizations, such as shard rebalancing and blocking heavy searches. It can also optimize templates. These optimizations will ensure your cluster operates at its peak performance and maximum resilience. Opster's AutoOps platform enables customers to dramatically reduce the hardware required for their deployment by optimizing mapping, stabilizing operations, and improving resource utilization.

Shipyard is an Environments as a Service (EaaS) platform. It hosts fully-managed ephemeral environments on every pull request. Shipyard's ephemeral environments use Docker Compose as an application definition and integrate with your existing CI/CD platform, ensuring you can run your automated testing suite before merge. Share SSO-protected environments between teams for asynchronous review.