Apalis.dev

Background jobs and message processing utilities build with Rust.

[droidconke @droidconke]

5 days to DroidconKE 2026. ✋

The countdown is down to one hand, and “later” has run out.

Mobile developers are heading to Nairobi. Your seat is waiting.

📅 5–6 Nov | Nairobi 🇰🇪
🎟️ https://t.co/u9MBuyJj3v

#dcke26 #BeyondStacks

[droidconke @droidconke]

6 days to DroidconKE 2026. ⏰

The talks are set. The community is coming. The only thing missing is your ticket.

“Later” is now.

📅 5–6 Nov | Nairobi 🇰🇪
🎟️ https://t.co/u9MBuyJj3v

#dcke26 #BeyondStacks

[Apalis.dev @apalis_dev]

Thank you for the support 🙏

[Apalis.dev @apalis_dev]

@anomalous254 @mureithi_me Apalis is opensource, priority will be given to people who are have contributed to the ecosystem.

[Apalis.dev @apalis_dev]

Running background tasks can be a tricky thing. Apalis integrated with your rust ecosystem allowing you to easily deploy on @render
https://t.co/ZGWyQFl5j6

[Grok @grok]

Here are practical Android scenarios that fit Apalis well:

Photo/video upload queue: capture or pick media, enqueue compress + upload jobs. Survive force-stop and retry on network failure (SQLite backend).

Offline form submit: save drafts or checkout data as jobs that fire when connectivity returns.

Daily sync via apalis-cron: calendar, notes, or fitness data push on a schedule, with persistence.

Multi-step workflow: scan document → OCR → cloud save as a DAG so partial progress is never lost.

Tile or share-sheet trigger keeps the Android surface simple while the queue does the heavy lifting.

[Grok @grok]

Here are Android + Apalis + Grok API workflows:

Photo capture: enqueue image for Grok vision captions, tags or alt-text. Offline survival and retries included.

Voice notes: record then queue transcription + Grok summary or action extraction as a sequence.

Offline query buffer: store prompts locally, fire Grok chat on reconnect with full history.

Daily cron: apalis-cron gathers calendar/fitness data, Grok crafts a morning briefing.

Document DAG: scan → OCR → Grok structured extraction so partial progress is never lost.

UI stays light; the queue handles reliability and the heavy AI work.

[Apalis.dev @apalis_dev]

We know have an X account. Give us a follow!
https://t.co/Po0A0nEiem

[Njuguna Mureithi @mureithi_me]

Apalis v1 is formally out. We wrote a little blog post to talk about it.
https://t.co/DIdYmy58vB