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Ani K
Ani K

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🚀 The Timeout Tamer: When Patience Met Progress

Imagine hitting a publish on a web page which contains grid like data updates made by users and submit the data and bang api gateway slams the door with timeout, But innovation doesn't wait.

The Dreaded Impasse

In the land of Gridopia, Luna the Sorceress prepared her greatest spell — publishing 427 rows of enchanted data. She waved her wand (clicked “Publish”)… and TimeOut, the grumpy gatekeeper, slammed the portal.
“Your patience has expired.”
Had her creation vanished?
The Villain: TimeOut

  • TimeOut: The ruthless guardian of the 30-second rule. “No lingering. Move or vanish.” The Heroes Assemble Luna called upon three brave characters:
  1. @TrackProgress (the Narrator)
  2. A magical annotation. “I’ll tell the tale of this journey.”
  3. Async (the Swift Runner)
  4. “I’ll offload the heavy lifting. No blocking!”
  5. SSE (the Whisperer)
  6. “I’ll pulse updates in real time. Trust me.” The Quest: Taming the Timeout Act 1: The Impasse
  7. Problem: The synchronous march to publish 427 rows took too long. TimeOut growled.
  8. Consequence: Luna was stuck, unsure, lost in limbo.

Act 2: The Async Rescue
Here’s how the heroes joined forces:

Step-by-Step Technical Guide

  1. @TrackProgress steps in (AOP Magic) @TrackProgress("Unleashing the grid gods") public void publishGrid(List rows) { String taskId = generateTaskId(); progressService.startTask(taskId, rows.size()); publisher.publishAsync(rows, taskId); return taskId; }
  2. @TrackProgress (the Narrator): Marks the epic task. Gives it a heartbeat.

  3. Async takes the load (Parallel Freedom)
    new Thread(() -> {
    try {
    // Process in chunks. No rush!
    jp.proceed();
    completeTask(id);
    } catch (Exception e) {
    failTask(id, e);
    }
    }).start();

  4. Async (the Swift Runner): Fires the task. Luna gets:
    {
    "taskId": "grid-427-groove",
    "message": "Your magic is brewing!",
    "track": "/pulse"
    }

  5. SSE whispers the odyssey (Real-Time Bonds)
    // As chunks complete:
    progressService.updateProgress(taskId, 42, "Validating dreams…");

  6. SSE (the Whisperer): Streams each heartbeat:
    Publishing… 42% [████████▒▒▒]

The Climax: Progress Conquers Time

  • TimeOut tries to sneer.
  • @TrackProgress narrates milestones.
  • Async works in the shadows.
  • SSE keeps Luna hooked.

The final roar:
Publishing… 100% [████████████] Published! ✨

Luna smiles. The grid lives.
Cast of Characters & Concepts

  1. @TrackProgress (the Narrator):
  2. Annotation + AOP. Contextualizes the long journey.
  3. Async (the Swift Runner):
  4. Java threading, non-blocking. Follows the path so Luna isn’t stuck.
  5. SSE (the Whisperer) / Websocket ( the Conductor) :
  6. Server-Sent Events. Binds the backend pulse to the frontend heartbeat.
  7. The websocket orchestres the symphonies.
    Note : Use any one based on your architecture constraints

  8. TimeOut (the Villain):

  9. AWS API Gateway constraint. The impetus for innovation.
    Summary

  10. Problem: Synchronous heaviness hit a hard wall.

  11. Solution: Async + @TrackProgress turned waiting into a progress party.

  12. Result: Instead of darkness, a symphony.
    The Timeout Tamer’s Creed
    Constraints hide gifts. When patience is tested:

  13. Narrate the effort.

  14. Liberate the process.

  15. Whisper wins in real time.
    And TimeOut? It nods in respect.
    Takeaway: Next time limits loom, deploy the trio:
    @TrackProgress ➕ Async ➕ SSE/Websocket

How would you have tackled this situation ?

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