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Diffstat (limited to 'content/blog/2022-ipfs')
| -rw-r--r-- | content/blog/2022-ipfs/index.md | 13 |
1 files changed, 6 insertions, 7 deletions
diff --git a/content/blog/2022-ipfs/index.md b/content/blog/2022-ipfs/index.md index b56eeb1..03ce073 100644 --- a/content/blog/2022-ipfs/index.md +++ b/content/blog/2022-ipfs/index.md @@ -198,20 +198,19 @@ Even if all requests have not the same cost on the cluster, processing a request ## Conclusion Running IPFS over a S3 backend does not quite work out of the box in term of performances yet. -We have identified some possible measures for improvement (disabling the DHT server, keeping an in-memory index of the blocks, using the S3 backend only for your data) -that might allow you to still run an IPFS node over Garage. +We have identified that the main problem is linked with the DHT service, +and proposed some improvements (disabling the DHT server, keeping an in-memory index of the blocks, using the S3 backend only for your data). From a design perspective, it seems however that the numerous small blocks created by IPFS do not map trivially to efficient S3 requests, and thus could be a limiting factor to any optimization work. -As part of our test journey, we read some posts about performance issues on IPFS (eg. [#6283 - Reduce the impact of the DHT](https://github.com/ipfs/go-ipfs/issues/6283)) that are not +As part of our test journey, we also read some posts about performance issues on IPFS (eg. [#6283](https://github.com/ipfs/go-ipfs/issues/6283)) that are not linked with the S3 connector. We might be negatively influenced by our failure to connect IPFS with S3, -but we are tempted to think that in any case, IPFS will be ressource intensive for your hardware. +but we are tempted to think that IPFS is intrinsically ressource intensive. -On our side, we will continue our investigations towards more *minimalist* software that tends to limit the -number of requests they send. +On our side, we will continue our investigations towards more *minimalist* software. This choice makes sense for us as we want to reduce the ecological impact of our services -by deploying optimized software on a limited number of second-hand servers. +by deploying less servers, that use less energy, and that are renewed less frequently. *Yes we are aware of the existence of Nextcloud, Owncloud, Owncloud Infinite Scale, Seafile, Filestash, Pydio, SOLID, Remote Storage, etc. We might even try one of them in a future post, so stay tuned!* |