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super_ar

HN member
Joined
Thu, Sep 19, 2024, 8:11 AM UTC
HN karma
43
Public activity
40 items

About super_ar

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Recent public activity

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    Comment #47695926

    Good question. I wouldn’t say this replaces Flink in general. If you already run Flink and are comfortable with it, it’s a very powerful system. Where we saw friction with Flink wa…

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    Show HN: 500k+ events/sec transformations for ClickHouse ingestion

    Hi HN! We are Ashish and Armend, founders of GlassFlow. Over the last year, we worked with teams running high-throughput pipelines into self-hosted ClickHouse. Mostly for observabi…

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    Comment #47589344

    I am seeing this pattern a lot lately. Teams start with a simple flow: logs/metrics → Vector → ClickHouse Works well as long as they run simple transformations via Vector. When the…

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    Comment #46208538

    Really cool!

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    Comment #46208469

    Looks cool! Do you have any idea who "good" it is at detecting AI-generated text?

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    Comment #46208427

    This is interesting. Just wondering about your traffic volume and how long you have been running lcoalpdf? For us, it is more like 5% of the traffic from GEO, but we have been runn…

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    Comment #44349543

    Yes, same machine.

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    Comment #44349244

    There is another test that we published on our docs page. You can check it out here: Setup: https://docs.glassflow.dev/load-test/setup Results: https://docs.glassflow.dev/load-test…

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    Comment #44349205

    Fair point. Thanks for calling it out! To clarify, we’re focused on a specific use case: Kafka to ClickHouse pipelines with exactly-once guarantees. Kafka can’t provide exactly-onc…

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    Comment #44348022

    Totally fair point. For stable, known workloads, you can get really far with something lightweight on a single machine. The challenge comes when you need fault tolerance, scaling, …

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    Comment #44318729

    Hi HN, A few weeks ago, we shared GlassFlow: Open Source streaming ETL to dedup and join streams from Kafka for ClickHouse ( https://news.ycombinator.com/item?id=43953722 ). One of…

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    Comment #43956875

    Great question! RMT can work well when eventual consistency is acceptable and real-time accuracy isn't critical. But in use cases where results need to be correct immediately (dash…

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    Comment #43955978

    Thanks for asking those questions. Duplicates often come from how systems interact with Kafka, not from Kafka itself. For example, if a service retries sending a message after a ti…

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    Comment #43955817

    Great to hear that you are considering it for zenskar. We don't have a publicly available load test, but in internal checks it was able to handle 15k requests per second (locally o…

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    Comment #43955747

    Good question! RMT does deduplication, but its dependency on background merges that you can't control can lead to incorrect results in queries until the merge is complete. We wante…