We’ve moved to Bluesky 👉 @jobrunr.bsky.social An easy way to perform background #job #processing in #java. Distributed and backed by persistent storage.
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ALT Cover: Your 5 most-asked questions this quarter. From 1,394 messages with JobRunr DocsGPT, July to September 2026.
ALT Do I need JobRunr Pro for this? Usually not to start. Teams move to Pro for more than 100 recurring jobs, chains and batches, enqueueing inside transactions, automatic recovery from database outages, priority and fair queues.
ALT Job Analytics, last 7 days: 95.33% success ratio of 83,442 jobs, 80K succeeded, 3.7K failed (down 5% on the previous period), 205 retries (up 11%), 0.5s average processing time, 0.25s average queue latency.
ALT Job processing trend from Mon 21 to Mon 28 Sep: about 12,000 to 13,000 jobs a day on weekdays, about 5,000 on Saturday and Sunday. Next to it a processing breakdown by server.
ALT Detailed analytics per job signature: doWorkThatTakesLong 41,945 runs, 1,849 failed (4.41%); doWork 40,628 runs, 1,025 failed (2.52%); doWorkThatFails 869 runs, 0 succeeded (93.67% failure rate).
ALT Four JUGs in four nights. Ronald Dehuysser, creator of JobRunr, next to a map of Germany: JUG Frankfurt Mon 5 Oct 18:30, JUG Nürnberg Tue 6 Oct 18:00, JUG Berlin-Brandenburg Wed 7 Oct 19:00, JUG Paderborn Thu 8 Oct 18:00. Talk: A Java 8 lambda and JobRunr is all you need for distributed batch processing.
