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Browse local S3 and DynamoDB in a web UI

S3 and DynamoDB are often the first two services people run locally, and the ones where a visual view helps most: what is in this bucket, what did that write actually store. StackPort gives you a browser-based console for both, against whatever you run locally.

If you already run MiniStack, Floci, LocalStack or Moto, point StackPort at it and both views are there, next to every other service. The guides cover each one:

DynamoDB Local speaks the DynamoDB API on port 8000.

Terminal window
docker run -d -p 8000:8000 amazon/dynamodb-local -jar DynamoDBLocal.jar -sharedDb
STACKPORT_SERVICES=dynamodb AWS_ENDPOINT_URL=http://localhost:8000 \
AWS_ACCESS_KEY_ID=test AWS_SECRET_ACCESS_KEY=test stackport
  • STACKPORT_SERVICES=dynamodb keeps the dashboard from probing services that are not there.
  • Without -sharedDb, DynamoDB Local keeps a separate database per access key and region. If your tables seem to be missing, either start it with -sharedDb or give StackPort the same key and region your application uses.
  • The endpoint health in Settings is checked with an S3 call, so it reads as unhealthy here. The DynamoDB view itself works normally.
  • DynamoDB Local does not support tags, so opening a table shows a “Failed to fetch data” error and no tags. The rest of the table page works normally.

MinIO’s community repository is no longer maintained, and the minio/minio image is no longer available on Docker Hub. If you already run MinIO, or any other S3-compatible store, point StackPort at its S3 port:

Terminal window
STACKPORT_SERVICES=s3 AWS_ENDPOINT_URL=http://localhost:9000 \
AWS_ACCESS_KEY_ID=minioadmin AWS_SECRET_ACCESS_KEY=minioadmin stackport

Use the credentials your store expects. MinIO’s defaults are shown above. StackPort sends path-style S3 requests to a custom endpoint, so the store does not need wildcard DNS for bucket names.

DynamoDB

  • See every table with its keys, item count, size and billing mode.
  • Scan with “load more”, or query by partition key with an optional sort key condition.
  • Create tables, and create, edit and delete items as plain JSON or DynamoDB JSON.

S3

  • Browse buckets and folders with breadcrumbs and a filter.
  • Upload by drag and drop, download, create folders, and delete objects or whole prefixes.
  • Inspect object metadata, and edit bucket tags, versioning, lifecycle rules, CORS and event notifications.

Both views have deep links (?table=Orders, ?bucket=my-bucket&prefix=data/) you can share or bookmark.