ATProto Browser

Record data

{
  "uri": "at://did:plc:tvrds67w3blytoctb6pkf7xr/app.bsky.feed.post/3lleov72srs2e",
  "cid": "bafyreiddxyc3aefqon6ikaks4yial3topkfkptnejto4j34i3zbdabeu24",
  "value": {
    "text": "🎯 S3 Partitioning just got smarter!\n\nWrangling big datasets from S3? Bacalhau 1.7 auto-partitions + retries jobs with zero hassle.\n\n→ Object, date, regex, substring? ✅\n→ Shared + partitioned inputs? ✅\n\nProcess 1000s of files—no custom logic.\n\n🔗 blog.bacalhau.org/p/bacalhau-v...",
    "$type": "app.bsky.feed.post",
    "embed": {
      "$type": "app.bsky.embed.images",
      "images": [
        {
          "alt": "Diagram showing Bacalhau v1.7 using AWS S3 partitioning to distribute data across multiple compute nodes. An S3 bucket is depicted sending data segments to individual servers through automated partitioning.",
          "image": {
            "$type": "blob",
            "ref": {
              "$link": "bafkreiam7cjiiumvdfamprhg22n7vtn5s46kras4hiizq2yosecuqgkt5q"
            },
            "mimeType": "image/jpeg",
            "size": 651640
          },
          "aspectRatio": {
            "width": 2000,
            "height": 1428
          }
        }
      ]
    },
    "langs": [
      "en"
    ],
    "facets": [
      {
        "index": {
          "byteEnd": 294,
          "byteStart": 261
        },
        "features": [
          {
            "uri": "https://blog.bacalhau.org/p/bacalhau-v170-day-4-using-aws-s3?r=2xwcw0",
            "$type": "app.bsky.richtext.facet#link"
          }
        ]
      }
    ],
    "createdAt": "2025-03-27T16:11:53.480Z"
  }
}