s3-benchmark
juicefs
s3-benchmark | juicefs | |
---|---|---|
4 | 42 | |
776 | 9,824 | |
- | 1.5% | |
0.0 | 9.8 | |
4 months ago | 5 days ago | |
Go | Go | |
MIT License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
s3-benchmark
- S3 Benchmark: Measure Amazon S3's performance from any location
- S3 Benchmark
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Ask HN: Have you ever switched cloud?
There's another benchmark somewhere showing S3 can max out a 100Gbps instance.
https://github.com/dvassallo/s3-benchmark
Another potential issue is ListBucket rate limiting. If you have lots of small objects, you'll spend most of the time waiting to discover the names than transferring data
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A distributed Posix file system built on top of Redis and S3
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
juicefs
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South Korea's No.1 Search Engine Chose JuiceFS over Alluxio for AI Storage
Support for Kerberos keytab files
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5 Open Source tools written in Golang that you should know about
JuiceFS under the Apache License 2.0, is a high-performance POSIX file system optimized for cloud-native environments. It stores data in Object Storage (e.g., Amazon S3) and metadata in databases like Redis, MySQL, or TiKV. JuiceFS integrates massive cloud storage with big data, machine learning, and AI applications efficiently, akin to local storage. It features full POSIX and Hadoop compatibility, S3 interface, Kubernetes support, and shared file storage for numerous clients. Some cool features are - strong consistency, scalable performance, data encryption, global file locks, and compression with LZ4 or Zstandard.
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How to Build a Ceph Cluster and Integrate with the JuiceFS File System
To improve the handling process of capacity overrun, the JuiceFS client supports deletion operations in the case of Ceph cluster fullness (see related code changes in JuiceFS Community Edition). Therefore, for newer client versions, there is no need to use set-full-ratio for temporary adjustments.
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A Deep Dive into the Design of Directory Quotas in JuiceFS
If you have any questions or would like to learn more, feel free to join discussions about JuiceFS on GitHub and the JuiceFS community on Slack.
- JuiceFS 1.1 - Distributed File System written in Go
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Gcsfuse: A user-space file system for interacting with Google Cloud Storage
The architecture image shows GCS and others, so I suspect it does.
https://github.com/juicedata/juicefs#architecture
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Google Cloud Storage FUSE
See also: JuiceFS: https://juicefs.com/
Adds a DBMS or key-value store for metadata, making the filesystem much faster (POSIX, small overwrites don't have to replace a full object in the GCS/S3 backend).
Almost certainly a better solution if you want to turn your object storage into a mountable filesystem, with the (big) caveat that you can't access the files directly in the bucket (they are not stored transparently).
- Using S3 as shared storage
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s3fs-fuse VS juicefs - a user suggested alternative
2 projects | 19 Feb 2023
JuiceFS can do the same thing as s3fs-fuse, but better. Because it supports robust data consistency and caching policies to improve performance.
- JuiceFS: Turn Cloud Blob Storage into Local Posix Filesystems
What are some alternatives?
warp - S3 benchmarking tool
cubefs - cloud-native file store