Best Web-Based DevOps Software of 2025 - Page 5

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.

Gearset provides all-encompassing solutions for DevOps, backup, and release management tailored for every team. Regardless of your current process, Gearset enables you to deploy and release more frequently and with greater reliability. Experience accelerated building, fewer bugs, and enhanced value through the premier deployment engine for Salesforce, while also benefiting from complimentary access to outstanding DevOps support. Gearset stands as the ultimate destination for Salesforce DevOps that appeals to everyone, regardless of their responsibilities. There’s no need for elaborate toolchains or segregated teams; it’s incredibly straightforward. Save significant time and preserve your peace of mind with deployments that succeed on the first attempt. Gearset presents the quickest route to creating Salesforce deployments that function flawlessly from the outset. You can forget about tracking changes, managing dependencies, or executing manual profile deployments—simply compare your orgs, and let Gearset handle the rest. With Gearset's user-friendly interface, you can easily select what you wish to deploy, making Salesforce deployments a hassle-free experience. This streamlined approach not only improves efficiency but also ensures that your team remains focused on delivering high-quality results.

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.

Cronit stands out as the pioneering online service for managing cronjobs. With Cronit, you can effortlessly define, schedule, and execute recurring requests directly from your web browser at no cost, thanks to its user-friendly design. This platform is versatile, supporting any API or Webhook that operates over HTTP and allowing the execution of custom commands in JavaScript. Users can easily set up their scheduled tasks using conventional CRON syntax. Additionally, Cronit maintains a comprehensive log of all completed jobs, enabling access to execution records whenever needed. Anticipating job execution is made simple with our prediction feature, and you can configure and initiate jobs from anywhere at any time without any installation process. No programming skills are necessary; our interface is designed to be intuitive and straightforward. If you require help, our dedicated support team is available around the clock to assist you. Experience the convenience of scheduling and managing periodic tasks and scripts effortlessly with the first online cronjob platform that puts you in control.

Ansys Cloud Direct’s powerful, easy-to-access HPC cloud solution will change the way you think about simulation. Unlike other simulation cloud solutions, Ansys Cloud Direct is simple to set up and navigate, will not break your workflow and does not require cloud experts to operate. Ansys Cloud Direct is all about Workflow, Performance, Support.

Efficiently eliminate risks that may be introduced into the workflow while safeguarding the integrity of each task, all from one centralized platform. Gain comprehensive visibility and complete traceability of your software pipeline's security, spanning from the cloud to the code. Oversee your identified issues, coordinate DevSecOps initiatives, mitigate risks, and uphold the integrity of the software pipeline from a single dashboard. Address threats based on their urgency and the context of the business. Automatically intercept vulnerabilities that could seep into your pipeline. Swiftly pinpoint the appropriate personnel to take necessary action against any identified security threats. Steer clear of established security vulnerabilities such as Log4j and Codecov, while also thwarting emerging attack vectors informed by proprietary research and threat intelligence. Identify anomalies, including those similar to GitBleed, and guarantee the security and integrity of all cloud artifacts. Conduct thorough security gap analyses to uncover any potential blind spots, along with automated discovery and mapping of all applications, ensuring a robust security posture across the board. This holistic approach enables organizations to preemptively address security challenges before they escalate.

Keypup's Development Intelligence layer prioritizes insights from engineering operations, allowing users to delve into, analyze, and tailor real-time development information into a variety of customizable formats such as reports, visualizations, KPI widgets, and dashboards. This capability empowers organizations to contextualize data instantly, enhance governance, and drive growth effectively. Aiming to establish itself as the leading force in development intelligence, Keypup equips engineering teams and software development stakeholders at every level with the tools to better comprehend their development activities. This understanding is crucial for scaling technical organizations without sacrificing quality or efficiency, ultimately resulting in quicker time to market and sustainable growth. Furthermore, the platform fosters collaborative decision-making and strategic planning, ensuring that all team members are aligned in their objectives and approaches.

We move all your development tools into a setting that mirrors the production environment, creating an experience akin to coding directly in production. You can invite your teammates to collaborate on the same project through pair programming, and easily share copies of your workspace with others. This enables you to present your work even to those outside of engineering. The coding environment is structured directly from the production build process, providing the safest way to simulate production coding scenarios. If your code runs smoothly in this environment, it is likely to function in the actual production setting as well. There’s no need to postpone testing until after your code undergoes review or branch merging; you can now conduct comprehensive end-to-end testing during the development phase itself. This full-stack environment supports all the microservices utilized in production, allowing for real-time validations. The inner loop becomes much more efficient since actual end-to-end testing can occur prior to code review, significantly shortening the deployment timeline and enhancing overall productivity. This seamless integration of testing and development ultimately leads to a more agile and responsive workflow.

Serverless-Dev-Tools offers a streamlined way to monitor your stack while coding, giving you instant feedback and insights without having to access the AWS Console to find the necessary metrics. Unlike a logging platform, alert system, or web dashboard, this tool operates directly in your terminal, ensuring you stay in touch with essential metrics during your development process. Being an open-source solution, Serverless-Dev-Tools invites contributions from users to enhance its functionality. We encourage your input through issues, pull requests, suggestions, and any feedback you may have! Your participation is vital for the continuous improvement of this tool.