Serverless cloud platform that runs Python code, including AI model training and inference, on GPUs with sub-second startup and pay-per-second billing.
Results for “infrastructure-as-code”
40 tools found
Cloud infrastructure for running autonomous AI agents at scale, with millisecond sandbox startup and near-zero idle cost.
A European, publicly-traded cloud built specifically for AI workloads — GPU clusters, training, inference — for companies that want serious AI compute without depending on a US hyperscaler.
An AI assistant for the 3am "something's broken" moment — it automatically digs through your logs, metrics, and past incidents to figure out what's actually wrong, instead of an engineer manually piecing it together across a dozen tools.
A browser-based tool that packages and deploys apps through Microsoft Intune in minutes instead of hours, and keeps them auto-updated afterward — built for IT teams and MSPs managing anywhere from a handful to 100,000+ company devices.
When a company has hundreds of robots or IoT devices out in the field, changing a setting on all of them at once is normally a painful, error-prone process — Miru treats that the way developers treat code: you push a configuration change, it rolls out ove
A tool that lets you describe your ideal development computer setup — which programming languages, editors, and apps you need — in a simple config file, then run one command to have it built automatically on a new machine, instead of spending a day manual
Cloud platform enabling deployment of real infrastructure to AWS, GCP, or Azure with centralized provisioning, scaling, and operations management.
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 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.
An AI agent named Aiden that handles the parts of the DevOps job that usually eat up an SRE's night — incident response, generating infrastructure-as-code, observability, and CI/CD tuning — across multi-cloud setups.
A cloud hosting platform where your app runs in its own tiny virtual computer that can be instantly copied — so testing a risky change or spinning up a preview for a teammate takes seconds, not a whole new deployment.
Gives platform teams a self-service portal where developers can spin up infrastructure themselves through simple forms, instead of filing a ticket and waiting on the ops team.
Describe what you need in plain English, and this platform writes the application code, the AWS infrastructure to run it, and deploys it — like hiring a cloud engineer who never sleeps.
A single map of every server you run across AWS, Azure, and Google Cloud, so you stop switching between three different consoles to see what's actually running.
machine0 rents persistent cloud virtual machines built specifically to run long-lived AI agent workloads, billed by the minute.
Self-hosted status-page and uptime monitor configured entirely as YAML in Git, so checks live in version control like everything else.
Runs your Terraform plan and apply commands inside the CI system you already use (GitHub Actions, GitLab CI, etc.) instead of making you stand up and maintain a separate server just for that — free and open source.