Search Results for "cloud computing"
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Showing 13 open source projects for "cloud computing"
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Gemini 3 and 200+ AI Models on One PlatformBuild, govern, and optimize agents and models with Gemini Enterprise Agent Platform.
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Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
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openQRM - Cloud Computing Platform
Get latest Edition here: http://www.openqrm-enterprise.com.
openQRM is a web-based open source datacenter management and hybrid cloud computing platform that integrates flexibly with existing components in enterprise data centers. Releases available at https://github.com/openQRM/openqrm-community. Please visit http://www.openqrm-enterprise.com for latest 5.3 free Community Release. Includes important security updates, bugfixes and enhancements especially for KVM and Cloud plugin. -
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MicroK8s
Single-package Kubernetes for developers, IoT and edge
Low-ops, minimal production Kubernetes, for devs, cloud, clusters, workstations, Edge and IoT. MicroK8s automatically chooses the best nodes for the Kubernetes datastore. When you lose a cluster database node, another node is promoted. No admin needed for your bulletproof edge. MicroK8s is small, with sensible defaults that ‘just work’. A quick install, easy upgrades and great security make it perfect for micro clouds and edge computing. -
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AWS ParallelCluster Node
Python package installed on the Amazon EC2 instances
aws-parallelcluster-node is the python package installed on the Amazon EC2 instances launched as part of AWS ParallelCluster. AWS ParallelCluster is an AWS-supported Open Source cluster management tool that makes it easy for you to deploy and manage High-Performance Computing (HPC) clusters in the AWS cloud. Built on the Open Source CfnCluster project, AWS ParallelCluster enables you to quickly build an HPC compute environment in AWS. It automatically sets up the required compute resources and a shared filesystem and offers a variety of batch schedulers such as AWS Batch and Slurm. AWS ParallelCluster facilitates both quick start proof of concepts (POCs) and production deployments. ... -
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pycos
Python framework for concurrent, asynchronous, distributed tasks
Python framework for concurrent, asynchronous, distributed communicating tasks for broad range of use cases, including public / private / hybrid cloud computing, fog / edge computing. -
Fully Managed MySQL, PostgreSQL, and SQL ServerCloud SQL handles your database ops end to end, so you can focus on your app.
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dispy
Distributed and Parallel Computing with/for Python.
dispy is a generic and comprehensive, yet easy to use framework for creating and using compute clusters to execute computations in parallel across multiple processors in a single machine (SMP), among many machines in a cluster, grid or cloud. dispy is well suited for data parallel (SIMD) paradigm where a computation (Python function or standalone program) is evaluated with different (large) datasets independently. dispy supports public / private / hybrid cloud computing, fog / edge computing. -
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Glass Library
Glass is a library for distributed computing.
Glass is a library for distributed computing. It's written in C++ and widely portable. -
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RainforestCluster
Dynamically manage Amazon EC2 clusters
RainforestCluster is an Amazon EC2 python program that manages and load-balances dynamic clusters to allow for maximum workflow flexibility and speed at minimal cost. It enables one to quickly and cheaply create dynamic compute clusters in the cloud, which can then run computational pipelines generically. It is also able to optimize the use of spot instances - idle computers in Amazon's cloud that are available at drastically reduced cost (5x-10x cheaper) - but can be terminated at any... -
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ThunderstormDistributor
Distribute jobs to compute nodes on dynamic clusters
ThunderstormDistributor is a queuing system that distributes jobs and computational workload across dynamic clusters in the cloud. It manages the assignment of jobs to maximize CPU and memory usage and prevent oversubscription of compute nodes. It also performs advanced statistics collection on individual compute nodes and jobs to graph the distribution of disk, network, CPU, and memory usage over time, which facilitates the advanced optimization and tuning of computational workflows. -
Full-stack observability with actually useful AI | Grafana CloudBuilt on open standards like Prometheus and OpenTelemetry, Grafana Cloud includes Kubernetes Monitoring, Application Observability, Incident Response, plus the AI-powered Grafana Assistant. Get started with our generous free tier today.
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This project aims to provide a reliable cloud computing system, able to work with cloud computing framework existing today. Developed and maintained by Alecsandru Patrascu, Computer Science, University Politehnica of Bucharest
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Scarlet is an extension for Atlassian JIRA, the leading Enterprise issue tracking and management software, allowing easy clustering of JIRA application instances, ensuring both high availability and linear scalability.
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OpenECP is an open source fork of the Enomaly Elastic Computing Platform (ECP) following its commercialisation. It is a web-based management platform for hypervisors which can be used to create "public" and "private" cloud computing environments.
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Freenomalism is a free, community based fork of the Enomalism web-based virtual infrastructure/cloud computing platform. The dashboard can help with issues including deployment planning, load balancing, migration, configuration management, and capacity.
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