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Description

Brainboard is an innovative AI-powered platform tailored for cloud architects, DevOps professionals, and platform engineers, allowing them to visually design, deploy, and manage multi-cloud infrastructures while effortlessly generating Infrastructure as Code. It provides compatibility with leading cloud providers and features robust integration with Terraform/OpenTofu, permitting users to drag-and-drop architectural diagrams that are immediately converted into functional Terraform code, promoting the approach of "design first, code when necessary." Additionally, the platform encompasses essential features like CI/CD pipelines specifically for infrastructure, drift detection, versioning, and role-based access controls, all aimed at ensuring governance, consistency, and enhanced collaboration among teams. Furthermore, Brainboard facilitates the development of reusable service-catalog templates, empowering internal teams to independently provision validated and compliant infrastructure, thereby reducing their dependency on central DevOps resources. This not only streamlines workflows but also fosters innovation and agility within organizations.

Description

A dynamic software catalog that thoroughly maps your entire software landscape, consolidates your engineering stack, and facilitates the training of a personalized AI assistant. It streamlines complicated DevOps inquiries, eliminating the need to spend countless hours sifting through various tools or depending on informal knowledge. Rely's integrations compile data from diverse sources such as Kubernetes, Terraform, CI/CD pipelines, environments, services, and interdependencies. This collected information is then organized within the software catalog, ensuring it is readily available and contextualized. Furthermore, it centralizes real-time information concerning ownership, documentation, deployments, on-call schedules, service level objectives (SLOs), and operational maturity, guaranteeing that all data remains current. By having a dedicated team to establish the data model for the software catalog, all engineering teams can effectively comprehend and articulate the assets within their software ecosystem. Our platform also features a pre-built data model derived from extensive research, which can be customized to meet the specific requirements of various organizations, thereby enhancing overall operational efficiency. Ultimately, this leads to a more cohesive understanding of the software environment across teams.