Showing 3 open source projects for "load balancing"

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    MongoDB Atlas runs apps anywhere

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    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.
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    Custom VMs From 1 to 96 vCPUs With 99.95% Uptime

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    NGINX Admin’s Handbook

    NGINX Admin’s Handbook

    How to improve NGINX performance, security, and other important things

    nginx-admins-handbook is a practical, in-depth guide for configuring, securing, and operating NGINX across real-world deployments. It distills years of research, notes, and field experience into a single handbook that complements the official docs with concrete rules, explanations, and curated external references. The handbook spans fundamentals and advanced topics alike, from HTTP and SSL/TLS basics to reverse proxy patterns, performance tuning, debugging workflows, and hardening...
    Downloads: 1 This Week
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  • 2
    Voyager Mesh

    Voyager Mesh

    Secure L7/L4 (HAProxy) Ingress Controller for Kubernetes

    ...This can be used with any Kubernetes cloud provider including aws, gce, gke, azure, acs. This can also be used with bare metal Kubernetes clusters. Voyager provides L7 and L4 load balancing using a custom Kubernetes Ingress resource. This is built on top of the HAProxy to support high availability, sticky sessions, name and path-based virtual hosting. This also supports configurable application ports with all the options available in a standard Kubernetes Ingress.
    Downloads: 0 This Week
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  • 3
    Bat2015

    Bat2015

    Bachelor of Science (Informatik)

    ...We create a distributed system with Apache thrift and the C-API of glpk. Now, it is possible to use as many cores in a network as you want. With a focus on the MILP methods we implement a load balancing and speed up the solving process in a multiplicative way. Sometimes we have super-linear speedup with a small set of hardware. With a splitting of problems, parallel computing and distributing the actual best solution to all running processes we solve CBP much faster than a sequential processing can do.
    Downloads: 0 This Week
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