Infomaniak Public Cloud
infomaniak.comProvision GNU/Linux or Windows virtual machines on Infomaniak's OpenStack-based Public Cloud.
Provision GNU/Linux or Windows virtual machines on Infomaniak's OpenStack-based Public Cloud.
Mock HTTP dependencies, inspect traffic, and verify requests in integration tests.
A reactive Python notebook editor that saves notebooks as ordinary Python files.
Monitor application, database, server, and web-transaction health from one managed console.
Trigger personalized postcards, letters, and other physical mail from software.
Govern DITA content, approvals, and releases for regulated documentation teams.
Turn accounting data into management reports and financial scenarios
Promote application configuration through GitOps stages so a GitOps agent can deploy each stage.
A local API-mocking desktop app and CLI for replacing live services during development and tests.
Edit, validate, transform, and debug XML and JSON in Altova's desktop development environment.
Record, replay, and inspect UI tests for desktop, web, and mobile applications.
Private business chat with channels, meetings, webinars, and centralized controls.
Work with notebooks, code files, consoles, and terminals in a browser-based interactive development environment.
Lint and format Python projects with one configurable command-line tool.
Build repeatable machine images from configuration templates before handing artifacts to deployment systems.
Describe mobile and web UI journeys as YAML flows and run them on a real or virtual target.
Render technical Markdown and notebooks into reports, books, slides, and websites.
Monitor hosts, services, and network devices with agents, SNMP checks, and alerting.
Automate dependency and lockfile updates through reviewable pull requests across many repository platforms.
Collect Windows machine and service measurements through configurable Prometheus collectors.
Run Python programs and isolate project packages with the official CPython interpreter.
Edit Python modules in a desktop window, run them in an interactive shell, and debug them with built-in tools.
Deploy a self-hosted OpenTelemetry stack for application, infrastructure, and AI-agent telemetry.