Hellmar_Becker (@Hellmar_Becker) header
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Data enthusiast, father, bookworm. Views are my own.

Munich, Bavaria
Joined November 2008
Photo by Hellmar_Becker (@Hellmar_Becker)Photo by Hellmar_Becker (@Hellmar_Becker)Photo by Hellmar_Becker (@Hellmar_Becker)Photo by Hellmar_Becker (@Hellmar_Becker)Photo by Hellmar_Becker (@Hellmar_Becker)Photo by Hellmar_Becker (@Hellmar_Becker)Photo by Hellmar_Becker (@Hellmar_Becker)Photo by Hellmar_Becker (@Hellmar_Becker)Photo by Hellmar_Becker (@Hellmar_Becker)Photo by Hellmar_Becker (@Hellmar_Becker)
Hellmar_Becker retweeted
Jev-powered evals are now available in Langfuse 👉️ Pay 40-400x less than with frontier models 👉️ Run Jev (by @typesafeai) on all production traces without sampling 👉️ Check multiple criteria at minimal extra cost langfuse.com/blog/2026-09-22…
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Hellmar_Becker retweeted
WalShadow is probably one of the most ambitious projects we’ve taken on. When we decided to build this six months ago, we genuinely weren’t sure how it would pan out. We were going directly after Postgres’s physical write-ahead log, an area backed by decades of deep engineering expertise. Now, seeing the early results with customers, especially Postgres → ClickHouse replication latency in the hundreds of milliseconds, it feels totally worth it. It opened up a new world tousers, that wasn’t possible before. This wouldn’t have been possible without the team’s deep expertise in Postgres replication, the operational lessons we’ve learned onboarding thousands of customers to Postgres CDC, and our experience deep in the Postgres replication and backups, creating and contributing to WAL-G and WAL-RUS I’m really excited for more customers to try it out. And perhaps the most exciting part: this brings ClickHouse much closer to becoming a physical analytics standby for Postgres. 🚀 github.com/ClickHouse/walsha… @ClickHouseDB
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Managed to spot the ClickHouse billboard at Shibuya Crossing last night! #SpottedClickHouse @clickhouse-jp #clickhouse-japan
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Hellmar_Becker retweeted
At Netflix, scale drives everything. Their logging system ingests 5 PB/day, averaging 10M+ events/sec across 40K+ microservices to serve 300M+ subscribers. See how they did it with some key optimizations in fingerprinting, serialization, and queries.

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Real-time analytics just got easier. The fully managed @ClickHouseDB sink connector is now generally available on Confluent Cloud. It’s now simpler than ever to stream data from Apache Kafka® directly into ClickHouse. Read how it works -> cnfl.io/4oS6FvY
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Hellmar_Becker retweeted
In the end, every byte goes ocean 🌊 ⁦@ClickHouseDB⁩
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Hellmar_Becker retweeted
CTO of @ClickHouseDB Alexey Milovidov, shows a mind blowing demo of air traffic telemetry indexed in ClickHouse. 150B+ records and immersive UI to explore it. This is only possible in ClickHouse. adsb.exposed ✈️
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New blog about visitor segmentation in @ClickHouseDB with theta sketches is out. Link in the reply below
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Hellmar_Becker retweeted
New distributed systems protocol write-up! Virtual Consensus (Delos) heavily inspired the new architecture in Confluent’s Kora engine, powering Freight Clusters. This write-up dives into Virtual Consensus in Delos paper and why it makes sense as the default log replication protocol in the era of object storage and hybrid environments. jack-vanlightly.com/blog/202…
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