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dvassallo
s3-benchmark
Go2019–2024
dvassallo / s3-benchmark

s3-benchmark

Measure Amazon S3's performance from any location.

6Distinct people
11Mentions
0Explicit recommenders
910GitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Measure Amazon S3's performance from any location.

GitHub

Where it is used

No documented product use has been verified yet.

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

No other repository is repeatedly linked in the same discussions.

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 year11 dated mentions

Observed mentions: 2019-04-04 15:18:57 UTC to 2024-03-23 14:51:11 UTC.

02462019-01-01 00:00:00 UTC to 2020-01-01 00:00:00 UTC (exclusive): 6 mentions; 6 submissions, 0 comments20192020-01-01 00:00:00 UTC to 2021-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2021-01-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments20212022-01-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2023-01-01 00:00:00 UTC to 2024-01-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 comments2024-01-01 00:00:00 UTC to 2025-01-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 comments2024

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
20192019-01-01 00:00:00 UTC2020-01-01 00:00:00 UTC660
20202020-01-01 00:00:00 UTC2021-01-01 00:00:00 UTC101
20212021-01-01 00:00:00 UTC2022-01-01 00:00:00 UTC101
20222022-01-01 00:00:00 UTC2023-01-01 00:00:00 UTC101
20232023-01-01 00:00:00 UTC2024-01-01 00:00:00 UTC110
20242024-01-01 00:00:00 UTC2025-01-01 00:00:00 UTC110

What Hacker News says

11 sources
TTFB in S3 is 20-30ms around the 50th percentile. it can go much higher at p99 [1]. In any case, rotational latency for HDD drives is an order of magnitude lower (typically 2-5ms for a seek operation). S3 is great for higher throughput workloads where TTFB is amortized across larger downloads (this is why it's very common to use S3 as a "data lake" where larger columnar files are stored, usually at the order of hundreds of MiB). I think it's an interesting project but perhaps explaining the use cases where this solution is beneficial would go a long way here. [1] https://github.com/dvassallo/s3-benchmark
In A distributed Posix file system built on top of Redis and S3
If your data is in S3, my experience is that you can push ~20-40MB/core/sec on most instances. OP is probably talking about an x1e.32xlarge. According to Daniel Vassalo's S3 benchmark [1], it can do about 2.7GB/sec. So your 4TB DB might take ~30min to fetch. Bandwidth is free, you'd pay $2 for the 30 min of compute, and some fractions of pennies for the few hundred S3 requests. [1]: https://github.com/dvassallo/s3-benchmark
In Does my data fit in RAM?

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