#other #atomic_broadcast_protocol #consensus_algorithms #consistency #distributed_computing #distributed_systems #fault_tolerance #paxos #quorum_systems #replication #state_machine_replication #zookeeper

https://github.com/heidihoward/distributed-consensus-reading-list

#typescript #distributed_systems #filesystem #organiser

https://github.com/spacedriveapp/spacedrive

#typescript #distributed_systems #docker #eventbus #expressjs #jest #kubernetes #microservices #mongodb #nats_streaming #nextjs #nodejs

https://github.com/saalikmubeen/microservices-architectured-app

#go #acl #authorization #authzed #ciam #cloud_native #database #distributed #distributed_systems #fine_grained_access_control #graph_database #grpc #kubernetes #latency #permissions #production #scale #security #security_tools #spicedb #zanzibar

https://github.com/authzed/spicedb

#scala #actor_model #akka #cloud_native #concurrency #distributed_actors #distributed_systems #hacktoberfest #high_performance #reactive #streaming

https://github.com/akka/akka

#other #architecture #distributed_systems #engineering #interview #interview_preparation #scalability #system_design #system_design_interview #tech

https://github.com/karanpratapsingh/system-design

#python #coursework #distributed_systems #system_design #system_design_interview #system_design_project #system_design_questions

https://github.com/relogX/system-design-questions

#scala #distributed_systems #finagle #http #http2 #java #memcached #mysql #redis #rpc #thrift #zipkin

https://github.com/twitter/finagle

#c_lang #blockchain #contributor_friendly #distributed_systems #ethereum #execution_layer #modular #p2p #rust

https://github.com/paradigmxyz/reth

#rust #daemon #distributed_systems #linux #multitenancy #system_programming

https://github.com/aurae-runtime/aurae

#python #bloom #deep_learning #distributed_systems #language_models #large_language_models #machine_learning #neural_networks #pytorch #volunteer_computing

https://github.com/bigscience-workshop/petals

#python #asyncapi #asyncio #distributed_systems #fastkafka #faststream #hacktoberfest #hacktoberfest2023 #kafka #nats #propan #rabbitmq

https://github.com/airtai/faststream

#java #big_data #caching #data_in_motion #data_insights #distributed #distributed_computing #distributed_systems #hacktoberfest #hazelcast #in_memory #low_latency #real_time #scalability #stream_processing

https://github.com/hazelcast/hazelcast

#rust #component_model #distributed_systems #durable_computing #durable_execution #fault_tolerance #high_reliability #serverless #wasi #wasm #wasm_component

Golem is a tool that lets you run WebAssembly components in a cloud environment. You can start using Golem on your local machine with Docker containers. Once set up, you can use the `golem-cli` tool to add and run your own code components. This makes it easy to test and deploy your applications in a distributed cloud setting. The benefit is that you can develop and test your applications locally before deploying them to the cloud, making it simpler and faster to get your projects up and running.

https://github.com/golemcloud/golem

#go #bigdata #cloud_native #distributed_systems #filesystem #go #golang #hdfs #object_storage #posix #redis #s3 #storage

JuiceFS is a powerful file system designed for cloud environments. It allows you to use massive cloud storage as if it were local storage, without changing your code. Here are the key benefits JuiceFS offers low latency and high throughput, making it suitable for big data, machine learning, and AI applications.
- **POSIX Compatibility** Supports Kubernetes and various object storage services like Amazon S3, Google Cloud Storage, and more.
- **Strong Consistency** Ensures data security and efficiency.
- **Shared Access**: Multiple clients can read and write files simultaneously.

Using JuiceFS, you can efficiently manage large amounts of data in the cloud, making it easier to integrate with various platforms and applications.

https://github.com/juicedata/juicefs

#go #cloud #cloud_computing #cloud_native #distributed_systems #go #golang #message_bus #message_queue #messaging #microservices_architecture #nats_server

NATS is a simple, secure, and fast communication system for digital systems, services, and devices. It can run anywhere, from your own server to the cloud or even a small device like a Raspberry Pi. NATS helps make complex systems easier to design and operate. With over 40 different language implementations, it's versatile and widely supported. Using NATS benefits you by providing a reliable and secure way to communicate between different parts of your system, making your work more efficient and stable.

https://github.com/nats-io/nats-server

#elixir #blockchain #consensus #cryptography #distributed_systems #elixir #erlang #operating_system #p2p #protocol

Anoma is a protocol that allows you to run a node for a decentralized network. To use it, you need to install several dependencies depending on your operating system (Mac, Windows, or Linux). You can either download pre-built binaries or compile the code yourself. Here are the key steps Download the release for your platform, extract it, and run the `bin/anoma` command.
- **Compilation**: Install necessary tools like Git, CMake, Rust, and Elixir, then follow the compilation instructions.

Following development is easy through GitHub issues, project overviews, and research forums. This helps you stay updated on what's being worked on and how the project is progressing.

The benefit to you is that you can participate in and contribute to a cutting-edge decentralized network, staying informed about its development and helping shape its future.

https://github.com/anoma/anoma