Feature flag and release management platform letting teams turn features on or off in production instantly, without redeploying code.
Results for “platform-engineering”
12 tools found
Serverless cloud platform that runs Python code, including AI model training and inference, on GPUs with sub-second startup and pay-per-second billing.
Internal developer portal that gives engineering teams a self-service software catalog, golden-path automation, and scorecards, positioned as faster to stand up than Backstage.
Internal developer platform that auto-maps a company's services into a catalog and uses scorecards to track production readiness, compliance and AI-adoption impact.
AI DevOps agent that watches your CI/CD pipeline, investigates failures, reviews code and triages incidents around the clock.
AI platform (Imogen) that rewrites legacy mainframe systems — COBOL, CICS, DB2 — into modern cloud code by replicating exact behavior, not just translating syntax.
Most companies can get an AI agent working in a demo; CreateOS is built for the much harder next step — running it safely in production with governance, kill-switches and audit trails a security team will actually approve.
A desktop app for running 10+ AI coding agents (Claude Code, Codex, and others) at the same time, each in its own isolated workspace, with a dashboard to review, terminal into, and merge their work — not to be confused with the open-source Apache Superset
A cloud hosting platform built specifically for MCP servers — the plumbing that lets AI assistants like Claude or ChatGPT call your tools and data — so a developer can deploy, monitor, and scale an MCP integration without building the hosting infrastructu
A management layer for infrastructure-as-code tools like Terraform, OpenTofu, Pulumi, and CloudFormation — it runs your existing IaC through a governed pipeline with approvals, drift detection, and compliance policies instead of engineers running `terrafo
A platform orchestration layer that lets developers request cloud resources themselves without waiting on a ticket queue, while ops keeps the guardrails — security, cost, and compliance rules — enforced automatically underneath.
An open-source toolkit that lets a platform team build a self-service capability once — say, "spin up a database" — and hand it out to developers, automation scripts, and now AI agents through a consistent API, CLI, or portal.