Best DevOps Software

RPA software robots work with the company's pre-existing systems, boosting productivity, accelerating decision making and lowering the error rate. This facilitates the expansion of companies that delegate manual and repetitive tasks to robots. It is the way to automate processes in companies technologically, a true digital transformation. TheEye is distinguished by its flexibility and ability to integrate workflows without changing policies. In addition, as a technological bridge, it allows you to centralize and communicate all your new and old systems, without incurring expensive licenses from a single place. Once implemented, the robots are integrated with their work team through TheEye and they begin to take care of the tasks that nobody wants to do without rest or mistakes and without losing a lot of money, freeing up talent to align with the business and increase added value.

We are the only solution on the market that autonomously tunes applications at scale, either for a single application or across the entire service delivery platform. Opsani rightsizes your application autonomously so your cloud application works harder and leaner so you don’t have to. Opsani COaaS maximizes cloud workload performance and efficiency using the latest in AI and Machine Learning to continuously reconfigure and tune with every code release, load profile change, and infrastructure upgrade. We accomplish this while integrating easily with either a single app or across your service delivery platform while also scaling autonomously across 1000’s of services. Opsani allows for you to solve for all three autonomously without compromise. Reduce costs up to 71% by leveraging Opsani's AI algorithms. Opsani optimization continuously evaluates trillions of configuration permutations and pinpoints the best combinations of resources and parameter settings.

JFrog ML (formerly Qwak) offers an MLOps platform designed to accelerate the development, deployment, and monitoring of machine learning and AI applications at scale. The platform enables organizations to manage the entire lifecycle of machine learning models, from training to deployment, with tools for model versioning, monitoring, and performance tracking. It supports a wide variety of AI models, including generative AI and LLMs (Large Language Models), and provides an intuitive interface for managing prompts, workflows, and feature engineering. JFrog ML helps businesses streamline their ML operations and scale AI applications efficiently, with integrated support for cloud environments.