Search Results for "cloud computing projects"
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Showing 4 open source projects for "cloud computing projects"
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NATS
Server for NATS.io, the cloud and edge native messaging system
With flexible deployments models using clusters, superclusters, and leaf nodes, optimize communications for your unique deployment. The NATS Adaptive Edge Architecture allows for a perfect fit for unique needs to connect devices, edge, cloud or hybrid deployments. With true multi-tenancy, securely isolate and share your data to fully meet your business needs, mitigating risk and achieving faster time to value. Security is bifurcated from topology, so you can connect anywhere in a deployment... -
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Mopidy
Mopidy is an extensible music server written in Python
Mopidy plays music from local disk, Spotify, SoundCloud, TuneIn, and more. You can edit the playlist from any phone, tablet, or computer using a variety of MPD and web clients. Vanilla Mopidy only plays music from files and radio streams. Through extensions, Mopidy can play music from cloud services like Spotify, SoundCloud, and TuneIn. With Mopidy's extension support, you can easily add backends for new music sources. Mopidy is a Python application that runs in a terminal or in the... -
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AnthillaOS
a linux based readonly image as appliance
Visit also: https://github.com/Anthilla/AnthillaOS For more updated Informations. Usable as test/dev exercise for appliances An x86 64bit gentoo image customized for readonly usage as appliances, fully functional and complete of more than 1000 pkg based on a gentoo+systemd distro. Hypervisor (kvm or xen) Storage (ZFS and Gluster) Container (Docker) Networking (iproute2, nftable, OpenVSwitch, Bird) Antd (http://www.anthilla.com/en/software/antd/ ) web based... -
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Cloud Target is a front-end to the python scripts that google uses to create, run and upload projects to its App Server system. This .NET application is based on the OSX front-end provided by Google in the SDK.
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Stop vibe-debugging.AppSignal's MCP server hands Claude, Cursor, or Zed your real errors, traces, and the deploy that shipped them. AI writes the fix; you review the diff.
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