Deploy in 115+ regions with the modern database for every enterprise.
MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
Start Free
Go from Code to Production URL in Seconds
Cloud Run deploys apps in any language instantly. Scales to zero. Pay only when code runs.
Skip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
A dynamic task scheduler to execute job chains in a fault-tolerant way
This project provide an easy to deploy service oriented task-scheduling architecture capable to achieve a fault-tolerant job execution on dynamics networks.
The system use:
- A robust Job scheduler: Quartz Enterprise scheduler (for more info see http://www.quartz-scheduler.org)
- A framework to build reliable dynamic distributed systems: Apache River framework (for more info see http://river.apache.org)
PyMW is a Python module for parallel master-worker computing in a variety of environments. With the PyMW module, users can write a single program that scales from multicore machines to global computing platforms.
Stop waiting on engineering. Build production-ready internal tools with AI—on your company data, in your cloud.
Retool lets you generate dashboards, admin panels, and workflows directly on your data. Type something like “Build me a revenue dashboard on my Stripe data” and get a working app with security, permissions, and compliance built in from day one. Whether on our cloud or self-hosted, create the internal software your team needs without compromising enterprise standards or control.
...It focuses on distributed computing and data gathering in Internet environment. Intended for smaller projects requiring couple hundreds of computers gathered together for a master-worker like jobs.
RAFT-Net is a Fault Tolerant Parallel Distributed Framework.
Using a Master-Worker scheme, the framework transparently
distributes workunits to workers (drones). These workers can join and
leave and as such, the network is very flexible. A modified