Compose-to-Cloud Pulumi Providers for AWS, GCP, and Azure
Hi HN, These are three FOSS Pulumi providers (defang-aws, defang-gcp, defang-azure) that take a Docker Compose-like project and provision it as real infrastructure to the respective cloud: VPC, subnets, load balancers, serverless containers (ECS Fargate, Cloud Run, Container App), builds, managed PostgreSQL, Redis, LLMs, and public/private DNS. Develop once, deploy anywhere: all three providers expose the same Compose-shaped surface. They contain the same Pulumi resources: Project, Build, Service, Postgres, Redis, LLM. Each service in the Compose services map gets provisioned as one of…
Compose-to-Cloud Pulumi Providers for AWS, GCP, and Azure launched on May 22, 2026 with 5 votes, #2,008 of 20,538 launches that month and more than 75% of that year's launches.
What it does
Defang Pulumi providers - Take your app from Docker Compose to a secure and scalable cloud deployment with Pulumi. - DefangLabs/pulumi-defang
In the maker’s words, at launch
Hi HN, These are three FOSS Pulumi providers (defang-aws, defang-gcp, defang-azure) that take a Docker Compose-like project and provision it as real infrastructure to the respective cloud: VPC, subnets, load balancers, serverless containers (ECS Fargate, Cloud Run, Container App), builds, managed PostgreSQL, Redis…
Does a similar job
all alternatives →
- TDThreeFold – Decentralized Cloud Infrastructure2023 · threefold.io · ▲37
We built it from the ground up, minimal Linux based operating system (written in go and rust), messaging system written in rust and infrastructure as code support (terraform and pulumi) There is even a dashboard, and a playground UI to manage it (that you can even run yourself) . Beautifully decentralized, you have full control of everything, you can deploy on your own servers if the cost of the cloud is too much. You can even run the whole system yourself if you want to. Here is a link to documentation https://manual.grid.tf/ Also, we are honored if it piqued your interest,…
- HOHands-On Cloud Troubleshooting Labs – AWS, GCP, Azure, and Kubernetes2024 · brokee.io · ▲9
Hello HN, I’m excited to share something we’ve been working on: Cloud Troubleshooting Labs. This tool provides on-demand environments for engineers to practice hands-on troubleshooting with AWS, GCP, Azure, and Kubernetes. What it does: We use Pulumi to spin up these environments. Each scenario includes a diagram and an explanation of the available IT infrastructure. Engineers are tasked with fixing configuration issues to make the application work. Depending on the test type, the environment could range from a simple terminal to a full cloud environment or a web-based VSCode. Many of our…
More ai this month
the category →
Paintings by AI models: programs run through a simulation of oil paint.
AI · 22d ago · stillwet.art
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Source: Show HN post ↗ · launch text quoted in part
Launched alongside, May 2026
the whole month →
Parallel agents, diff reviewer, and multi-model comparisons
Dev tools · May 2026 · kilo.ai
Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
Life & fun · May 2026 · github.com
🌱 Private, quiet space for thinking. Simple app for .md files. - zakirullin/files.md
Dev tools · May 2026 · github.com