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S3_BUCKET_NAME= your container name
S3_ACCESS_KEY_ID= S3PROXY_IDENTITY
S3_SECRET_ACCESS_KEY= S3PROXY_CREDENTIAL
S3_REGION_NAME=us-east-1
S3_ADDRESSING_STYLE=path
Keep s3proxy on an internal Docker network only. Otherwise the full (non-slim) image already has the Azure SDK, if the
extra size is acceptable.
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... :57 timeout_seconds: 300 21:40:57
client_id: None 21:40:57 token_uri: None 21:40:57 compute_region: None 21:40:57 dataproc_cluster_name: None 21:40:57
gcs_bucket: None 21:40:57 dataproc_batch: None 21 ...
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... :13 timeout_seconds: 300 20:05:13
client_id: None 20:05:13 token_uri: None 20:05:13 compute_region: None 20:05:13 dataproc_cluster_name: None 20:05:13
gcs_bucket: None 20:05:13 dataproc_batch: None 20 ...
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... dataproc_cluster_name: None
19:34:27 gcs_bucket: None
19:34:27 dataproc_batch: None
19:34:27 Registered adapter: bigquery=1.12.1
19:34:33 Connection test: [OK connection ok]
19:34:33 All checks passed!```
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... runs as many instances as traffic needs, and each one keeps its own token
buckets. By default a customer can get the full limit on every instance. There s a setting to split the limit across ...
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...
[… 9227 characters cut …]
memorysetup-bucket-allocator-granularity=16
memorysetup-bucket-allocator-bucket-count=8
memorysetup-bucket-allocator-block-size=4194304
memorysetup ...
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... without changing it.
The proposal
1. Component: sst.aws.MicroVm
I suggest MicroVm and not Sandbox.
const bucket = new sst.aws.Bucket( Artifacts );
const sandbox = new sst.aws.MicroVm( AgentSandbox ...
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... upload. Each credential is for a single prefix on the staging bucket; multiple people can
assume that same credential.
Transfer data to staging-cellpainting-gallery Instructions for using the ...
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... timeout_seconds: 300 15:22:13
client_id: None 15:22:13 token_uri: None 15:22:13 compute_region: None 15:22:13 dataproc_cluster_name: None 15:22:13
gcs_bucket: None 15:22:13 dataproc_batch: None 15:22:13 ...
