vector

A high-performance observability data pipeline. (by vectordotdev)

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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a better vector alternative or higher similarity.

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vector reviews and mentions

Posts with mentions or reviews of vector. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2025-01-02.
  • The Quest for HA and DR in Loki
    2 projects | dev.to | 2 Jan 2025
    We decided to use Vector, a lightweight and ultra-fast tool for building observability pipelines. With Vector, we could collect, transform, and route logs to AWS S3.
  • Google Project IDX, Material UI's new React component library, and more
    2 projects | dev.to | 29 Dec 2024
    Vector.dev
  • VictoriaLogs: A Grafana Dashboard for AWS VPC Flow Logs – Migrating from Grafan
    1 project | news.ycombinator.com | 9 Dec 2024
    Rather than promtail, have you looked at Vector? I just started an MVP of shipping logs directly to our product for end-user consumption using Vector + NATS, and it’s a killer combination.

    Compared to Promtail, you have incredibly flexibility with how you collect, transform, and ship logs, with end to end confirmation and great documentation. Using promtail felt inferior once I made the switch

    https://vector.dev/

    https://docs.nats.io/

  • Netflix's Distributed Counter Abstraction
    7 projects | news.ycombinator.com | 13 Nov 2024
    if anyone want a non-distributed but still very powerful counter service, I'd recommend Telegraf from Grafana or https://vector.dev/
  • We built a new powerful JSON data type for ClickHouse
    2 projects | news.ycombinator.com | 22 Oct 2024
    Use something like https://vector.dev which can put up an HTTP endpoint you can submit entries to, and it will batch and submit them to ClickHouse on your behalf and do all the buffering and other stuff. Vector is extremely reliable in my experience but I don't know the size of your operation. Vector can also do a lot of other stuff for you.

    Realistically I think ClickHouse's features count as real-time, batching or not. The thing is, there is a cost to inserting things, it's a question of what the cost is. ClickHouse has a lot of overhead for an insert, and very little overhead for large OLAP queries, so amortizing the overhead with big writes is important. That's just a design tradeoff. Let's say you have 1mil events a second and you batch at 100k. You then get 10mil. You can just scale out the writes by standing up new nodes and scale them up by doing larger batches with more RAM available.

    Most of the time you can get data through the pipeline quickly, in seconds (more than enough to spot problems) and you can use tools like ReplacingMergeTree or AggregatingMergeTree in order to scale up your write throughput in the event of multiple writers.

    If you actually need sub-second or millisecond-level latency and you can't stand to lose even a single event, then you need to look into solutions like Materialize or Feldera which completely reframe the problem as an incremental computation problem.

  • Porting systemd to musl Libc-powered Linux
    9 projects | news.ycombinator.com | 5 Sep 2024
    These ones found no difference:

    http://www.etalabs.net/compare_libcs.html

    https://users.rust-lang.org/t/optimizing-rust-binaries-obser...

    This guy found Musl much slower for multithreaded allocation:

    https://www.linkedin.com/pulse/testing-alternative-c-memory-...

    These found Musl a bit slower with LTO:

    https://github.com/vectordotdev/vector/issues/2313

    Except for that LinkedIn one (which feels like it might be a bug), it seems like there isn't really much in it, which is what I'd expect tbh. Kind of like Clang vs GCC. Sometimes one is faster, but probably not by much.

  • Surfer is the first personal data scraper
    8 projects | news.ycombinator.com | 22 Aug 2024
    I made something like this since I was tired of the asymmetric nature of data collection that happens on the Internet. Still not where I would like to be, but it's been really nice being able to treat my browsing history as a any old log that I can query over. Tools like dogsheep are nice, but they tend to rely on data being allowed to be removed from the platform. This bypasses those limits by just doing it on the client.

    This lets me create dashboards to see usage for certain topics. For example, I have a "Dev Browser" which tracks the latest sites I've visited that are related to development topics [1].

    I've talked about my first iteration before on here [2].

    My second iteration ended up with a userscript which sends the data on the sites I visit to a Vector instance (http://vector.dev, no affiliation). Vector is in there because for certain sites (ie. those behind draconian Cloudflare configuration), I want to save a local copy of the site. So Vector can pop that field save it to a local minio instance and at the same time push the rest of the record to something like Grafana Loki and Postgres while being very fast.

    I similarly have a few for all the online reading I do. One for blogs, one for fanfiction, and one for webfiction in general.

    I've started looking into a third iteration utilizing MITMproxy. It helps a lot with saving local copies since it's happening outside of the browser, so I don't feel the hitch when a page is inordinately heavy for whatever reason. It also is very nice that it'd work with all browsers just by setting a proxy which means I could set it up for my phone both as a normal proxy or as a wireguard "transparent" proxy. Only need to set up certificates for it work.

    ---

    [1] https://raw.githubusercontent.com/zamu-flowerpot/zamu-flower...

  • Ask HN: Who's been hired through Hacker News?
    1 project | news.ycombinator.com | 11 Jul 2024
  • Show HN: Dorkly: Open Source Feature Flags
    12 projects | news.ycombinator.com | 25 Jun 2024
    LD actually releases a crazy amount of stuff as open source. In addition to the Relay, the server SDKs are all open source too.

    In fact, their entire API for flag manipulation and definition (essentially all the operations you can do with their UI, but programmatically) is open too: https://app.launchdarkly.com/api/v2/openapi.json

    One could imagine running an OpenAPI β†’ Go/Java/Rust/Python/etc. code generator on their OpenAPI spec, and then gradually implementing their entire API as open source.

    Not sure how they would feel about that… although I suspect more usage of an LD-compatible API would only be good for them.

    Of course, it makes sense for all those things to be open. The majority of smaller startups they're competing against will have settled on OpenFeature. DataDog too releases some equivalently surprising things as open source: eg. https://vector.dev/

  • What is a low/reasonable cost solution for service log storage and querying?
    1 project | news.ycombinator.com | 5 May 2024
    I am thinking about using https://vector.dev/ but would also love opinions on the best deal for lower or reasonable cost storage/querying of logs. Thanks!
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vectordotdev/vector is an open source project licensed under Mozilla Public License 2.0 which is an OSI approved license.

The primary programming language of vector is Rust.


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