Imagine you need a process that reacts to events over time: a customer signs up, wait three days, check if they've used the product, if not send an email, if yes upgrade their plan. Building that reliably — so it survives a server restart, retries automatically if an email API is down, and doesn't lose track of where it was — is surprisingly hard to do by hand. Graph Compose exists to make that kind of durable, multi-step process buildable without writing that plumbing yourself. Graph Compose is a workflow orchestration platform built on top of Temporal, a well-established open-source engine for durable execution. You can build a workflow three ways: a React Flow visual canvas, a typed TypeScript SDK, or an AI assistant that converts a plain-English description into a runnable graph. Workflows are described as a single JSON document and executed with automatic retries, durable state, and error boundaries — with no servers to provision or workers to manage on your side, since it runs inside your own Temporal namespace (bring-your-own-cluster) or a hosted one under your security policies. Pricing is a Free plan, then Pro at $29/month plus $20 per 5,000 executions over the included quota, and Enterprise at $50/seat/month plus overage.
| # | Tool | Best for | Price |
|---|---|---|---|
| 1 | Administrateurs systèmes et ingénieurs DevOps migrant des serveurs existants vers l'infrastructure-as-code | — | |
| 2 | Équipes DevOps/SRE gérant des clusters Kubernetes. | — | |
| 3 | Administrateurs système, DevOps, développeurs backend gérant des serveurs Linux on-premise. | — | |
| 4 | Development teams, organizations seeking cloud infrastructure management without vendor lock-in, teams deploying containers, databases, functions, full-stack applications | — | |
| 5 | Équipes d'ingénierie utilisant GitHub Actions, en particulier avec beaucoup de CI (monorepos, tests lourds) | — | |
| 6 | Développeurs utilisant des agents de code IA (Claude Code, Cursor) pour construire des backends complets | — | |
| 7 | Grandes organisations multi-cloud avec des dépenses IA/SaaS significatives cherchant une gouvernance centralisée | — | |
| 8 | Développeurs solo, petites équipes et agences qui gèrent leurs propres serveurs Linux/VPS | — | |
| 9 | CFO, FP&A, CTO et équipes plateforme d'entreprises avec une infra cloud/IA complexe | — | |
| 10 | Équipes déployant des applications IA temps réel (agents vocaux, vidéo, LLM) en production | — | |
| 11 | Ingénieurs cloud/DevOps gérant de multiples comptes AWS et voulant exécuter des commandes en parallèle sans risque de dégâts accidentels | — | |
| 12 | Équipes techniques voulant du serverless auto-hébergé sans dépendre d'AWS Lambda ou Vercel | — |
For the server nobody documented properly: Enroll looks at what's actually installed and configured on a live Linux machine and writes the Ansible files that would recreate it, instead of someone manually reverse-engineering years of undocumented changes
A free, open-source traffic router for Kubernetes that handles web, gRPC, and other traffic types through one simple program, with zero downtime when it updates its rules.
A free desktop app that gives you a visual dashboard, terminal, and file browser for managing your own Linux servers over SSH, instead of juggling separate tools.
Cloud platform enabling deployment of real infrastructure to AWS, GCP, or Azure with centralized provisioning, scaling, and operations management.
AI-powered GitHub Actions runners that replace ubuntu-latest and automatically open pull requests to speed up your CI pipeline.
A cloud platform designed for AI coding agents — instead of a human clicking around a dashboard, your AI assistant can provision databases, storage, and APIs itself.
A FinOps platform that pulls together your cloud, Kubernetes, and AI tool spending (AWS, GCP, Azure, OpenAI, Cursor) into one place, even for costs that were never tagged.
A desktop app that lets you manage and deploy to your own Linux servers using plain-English AI commands instead of memorizing terminal syntax.
A dashboard that connects your cloud and AI API bills directly to which product features or customers are actually driving those costs.
Rent GPU power by the second to run AI models in production, without reserving hardware or managing servers yourself.
Runs one AWS command across hundreds of AWS accounts at once instead of writing a shell loop and hoping nothing destructive slips through by accident.
A self-hosted alternative to services like AWS Lambda or Vercel Functions — run your own serverless platform on your own servers, with no container registry or YAML to manage.
