Search Results for "model-builder"

OpenOps is an open-source, no-code FinOps automation platform designed to help organizations manage and optimize cloud financial operations with minimal manual effort. At its core, OpenOps provides a visual workflow builder that lets teams construct automated processes for cloud cost optimization, budgeting, tagging, allocation, forecasting, and anomaly management without writing code, making complex financial workflows approachable for both technical and financial users. The platform includes an integrated spreadsheet-like database called OpenOps Tables and built-in analytics for tracking metrics and visualizing cost trends, enabling teams to consolidate disparate cloud cost data into actionable dashboards. ...

...OptScale allows ML teams to multiply the number of ML/AI experiments running in parallel while efficiently managing and minimizing costs associated with cloud and infrastructure resources. OptScale MLOps capabilities include ML model leaderboards, performance bottleneck identification and optimization, bulk run of ML/AI experiments, experiment tracking, and more. The solution enables ML/AI engineers to run automated experiments based on datasets and hyperparameter conditions within the defined infrastructure budget. Certified FinOps solution with the best cloud cost optimization engine, providing rightsizing recommendations, Reserved Instances/Savings Plans, and dozens of other optimization scenarios. ...

...The core idea behind Selefra is “select * from infrastructure,” meaning you can write flexible SQL-style queries against cloud configuration and inventory data assembled from dozens of services such as AWS, Azure, GCP, Kubernetes, GitHub, Slack, and more, bringing auditing, security, compliance, cost optimization, and architecture insights into one place. It unifies data across provider APIs into a structured model, making it simple to detect misconfigurations, enforce governance policies, and build custom analytics workflows that align with organizational standards. Users can manage policies as code, version them alongside application code, and automate analysis and enforcement through scheduled tasks, CI/CD, or policy-as-code tooling.