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Description
Description
Very slow package download performance when using Azure Blob Storage backend (1–2 MB/s vs 12–13 MB/s)
Description
We are experiencing significantly degraded download performance when using Azure Blob Storage as the backend for Gitea Packages (Generic Packages) on Gitea 1.25.2.
When Gitea streams package data (SERVE_DIRECT = false), download throughput drops to 1–2 MB/s.
However:
- Downloading the same blob directly from Azure Blob Storage reaches 12–13 MB/s.
- Another artifact repository we operate (Nexus Repository PRO) running in exactly the same VM and network conditions achieves 9–10 MB/s.
Environment
- Gitea version: 1.25.2 (Linux binary release)
- OS: Rocky Linux 9
- Reverse proxy: NGINX (also tested by bypassing → same result)
- VM environment:
- Hosted in our on-prem datacenter (VMware)
- No bandwidth limitations
- The same VM runs Nexus Repository PRO with 9–10 MB/s download performance
- Storage backend: Azure Blob Storage
- Network: Low-latency, high-bandwidth link to Azure region (direct download achieves 12–13 MB/s)
Configuration
[packages]
ENABLED = true
STORAGE_TYPE = azureblob
SERVE_DIRECT = false # Required for correct filename handling
[packages.azureblob]
ENDPOINT = https://<account>.blob.core.windows.net/
ACCOUNT_NAME = <account>
ACCOUNT_KEY = <key>
CONTAINER = <container>
PATH = packages
### Gitea Version
1.25.2
### Can you reproduce the bug on the Gitea demo site?
No
### Log Gist
_No response_
### Screenshots
_No response_
### Git Version
_No response_
### Operating System
Rocky Linux 9.7
### How are you running Gitea?
We are running Gitea using the official binary release of version 1.25.2, downloaded from the Gitea website.
Gitea is executed as a systemd service on a dedicated virtual machine running:
Rocky Linux 9 (minimal installation)
Hosted on our on-premises VMware datacenter
No bandwidth limitations applied at the hypervisor or network level
The systemd service launches the Gitea binary directly from:
/srv/gitea/bin/gitea web --config /srv/gitea/data/conf/app.ini
We are not using Docker or any third-party packaging.
### Database
PostgreSQL