Mimir 3.0 Unveiled: Ingest Storage, Query Engine, and a Whole Lot Less Cost

Mimir 3.0 is coming—and it’s faster, more cost effective, and more reliable. Learn how ingest storage and a new streaming query engine make Mimir more scalable and cost-efficient than ever. Get ready for fewer errors and better performance.

Chapters:

00:00 – Welcome + Goals of Mimir 3: Reliability, performance, cost
01:20 – Mimir 2 architecture: How writes and reads flow through ingesters
03:00 – Challenges in Mimir 2: Overloaded ingesters and multi-zone fragility
05:03 – Introducing ingest storage: Kafka-powered decoupling of reads/writes
07:20 – Write path reimagined: How Kafka changes durability and latency
09:01 – Read path in Mimir 3: Complete data from one ingester per partition
10:52 – Improved availability: Lower outage risk with fewer ingesters
11:50 – Real-world results: Cost savings from ingest storage
13:07 – New Mimir query engine: Streamed execution = fewer errors
14:30 – Why expensive queries no longer spike memory
15:53 – Flattening memory usage: Less waste, fewer crashes
17:50 – How Mimir 3 streams data vs. Prometheus’ in-memory method
19:39 – Benchmarks: 92% less memory, 38% faster queries
20:24 – Success rate queries and query deduplication
22:35 – Optimization framework + real cluster improvements
23:25 – Final takeaways: 3x less memory, 80% less CPU, full OSS support

Related links:

Mimir GitHub: https://github.com/grafana/mimir/releases

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