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theanalyst
awesome-distributed-systems
Systems & Infrastructure2015–2023
theanalyst / awesome-distributed-systems

awesome-distributed-systems

A curated list to learn about distributed systems

14Distinct people
15Mentions
0Explicit recommenders
12.4KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

A curated list to learn about distributed systems

GitHub

Where it is used

No documented product use was verified in the last source check.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

Mentioned in the same Hacker News threads. That is not proof they are substitutes.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 3:56:07 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by year15 dated mentions

Observed mentions: 2015-06-08 02:11:30 UTC to 2023-07-03 22:22:04 UTC.

01232015-01-01 00:00:00 UTC to 2016-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments20152016-01-01 00:00:00 UTC to 2017-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments2017-01-01 00:00:00 UTC to 2018-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2018-01-01 00:00:00 UTC to 2019-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2019-01-01 00:00:00 UTC to 2020-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments20192020-01-01 00:00:00 UTC to 2021-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments2021-01-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 3 mentions; 0 submissions, 3 comments2022-01-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 2 mentions; 1 submissions, 1 comments2023-01-01 00:00:00 UTC to 2024-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2023

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
20152015-01-01 00:00:00 UTC2016-01-01 00:00:00 UTC101
20162016-01-01 00:00:00 UTC2017-01-01 00:00:00 UTC202
20172017-01-01 00:00:00 UTC2018-01-01 00:00:00 UTC101
20182018-01-01 00:00:00 UTC2019-01-01 00:00:00 UTC101
20192019-01-01 00:00:00 UTC2020-01-01 00:00:00 UTC202
20202020-01-01 00:00:00 UTC2021-01-01 00:00:00 UTC202
20212021-01-01 00:00:00 UTC2022-01-01 00:00:00 UTC303
20222022-01-01 00:00:00 UTC2023-01-01 00:00:00 UTC211
20232023-01-01 00:00:00 UTC2024-01-01 00:00:00 UTC101

What Hacker News says

15 sources
Distributed systems is a very broad research topic nowadays, so it might make sense to check conferences covering a narrower topic, e.g. Cloud computing. Google Scholar might give some useful results for more specific search terms. The reading lists for distributed systems university courses might also be interesting as well as this "awesome" link list on github: https://github.com/theanalyst/awesome-distributed-systems
In Ask HN: How do I find technical papers (for distributed systems)?
From "Ask HN: Learning about distributed systems?" https://news.ycombinator.com/item?id=23932271 : > Papers-we-love > Distributed Systems: https://github.com/papers-we-love/papers-we-love/tree/master... > awesome-distributed-systems also has many links to theory: https://github.com/theanalyst/awesome-distributed-systems And links to more lists of distributed systems papers under "Meta Lists": https://github.com/theanalyst/awesome-distributed-systems#me... In reviewing this awesome list, today I learned about this playlist: "MIT 6.824 Distributed Systems (Spring 2020)" https://youtube.com/playlist?list=PLrw6a1wE39_tb2fErI4-WkMbs... > awesome-bigdata lists a number of tools: https://github.com/onurakpolat/awesome-bigdata
In Foundational Distributed Systems Papers
From a previous question re: "Ask HN: CS papers for software architecture and design?" (https://news.ycombinator.com/item?id=15778396 and distributed systems we eventually realize were needed in the first place: > Bulk Synchronous Parallel: https://en.wikipedia.org/wiki/Bulk_synchronous_parallel . Many/most (?) distributed systems can be described in terms of BSP primitives. > Paxos: https://en.wikipedia.org/wiki/Paxos_(computer_science) . > Raft: https://en.wikipedia.org/wiki/Raft_(computer_science) #Safety > CAP theorem: https://en.wikipedia.org/wiki/CAP_theorem . Papers-we-love > Distributed Systems: https://github.com/papers-we-love/papers-we-love/tree/master... awesome-distributed-systems also has many links to theory: https://github.com/theanalyst/awesome-distributed-systems - Byzantine fault: https://en.wikipedia.org/wiki/Byzantine
Read the rest
_fault : > A [Byzantine fault] is a condition of a computer system, particularly distributed computing systems, where components may fail and there is imperfect information on whether a component has failed. The term takes its name from an allegory, the "Byzantine Generals Problem",[2] developed to describe a situation in which, in order to avoid catastrophic failure of the system, the system's actors must agree on a concerted strategy, but some of these actors are unreliable. awesome-bigdata lists a number of tools: https://github.com/onurakpolat/awesome-bigdata Practically, dask.distributed (joblib -> SLURM,), dask ML, dask-labextension (a JupyterLab extension for dask), and the Rapids.ai tools (e.g. cuDF) scale from one to many nodes.
In Ask HN: Learning about distributed systems?

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