Acknowledgements

The following resources were vital in the creation of eth.events.
Thanks a lot to the authors!

Apache Kafka

by the Apache Foundation

Kafka® is used for building real-time data pipelines and streaming apps. It is horizontally scalable, fault-tolerant, wicked fast, and runs in production in thousands of companies.

Apache Storm

by the Apache Foundation

Apache Storm is a free and open source distributed realtime computation system.
Storm makes it easy to reliably process unbounded streams of data, doing for realtime processing what Hadoop did for batch processing.

Node.js

by the Linux Foundation

Node.js® is a JavaScript runtime built on Chrome’s V8 JavaScript engine.

Parity Ethereum

by Parity

The fastest and most advanced Ethereum client.

Go Ethereum – Geth

by the go-ethereum authors

Go Ethereum is one of the three original implementations (along with C++ and Python) of the Ethereum protocol. It is written in Go, fully open source and licensed under the GNU LGPL v3.

Web3.js

by the Web3.js authors

Web3.js is the Ethereum JavaScript API which connects to the generic JSON RPC spec.

Traefik

by the Traefik developers

The Cloud Native Edge Router
A reverse proxy / load balancer that’s easy, dynamic, automatic, fast, full-featured, open source, production proven, provides metrics, and integrates with every major cluster technology.

Docker

by Docker

Docker provides container software that is ideal for developers and teams looking to get started and experimenting with container-based applications.

Ansible

by Red Hat, Inc.

Automation for everyone
Simplify work. Break down silos. Speed transformation.

Redis

by antirez & the Redis Team

Redis is an open source, in-memory data structure store, used as a database, cache and message broker. It supports data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes with radius queries and streams.