Viewing profile — roskilli

Well one thing is, there are package updates that could masquerade a backdoor much like XZ Utils[1]. The post in question points to dependency package managers however not system p…

If you don’t mind me asking: which popular LLM(s) have you been using for this and how are you providing the code base into the context window?

Not sure but I believe it’s possible you may have read the parent comment unintentionally in the inverse? I might be wrong but I believe you posited their desired focus is to manag…

Thanks for the detailed response. I am surprised there is no gauge update API yet (instead of callback only), this is a common use case and I don't think folks should be expected t…

> Moreover, we encountered some rough edges in the metrics-related functionality of the Go SDK referenced above. Ultimately, we had to write a conversion layer on top of the OTel m…

One feature I’d love to see is a transformer that instead of providing a random value provides a cryptographic one way hash of the data (ie sha2) - that way key uniqueness stays th…

Right exactly. As a point of reference, within M3DB each unique time series has a list of “in-order” compressed timestamp/float64 tuple streams. When a datapoint is written the ser…

Hey jaren hope things are well at Robinhood. Good question, there's a diagram on what a default deployment looks like alongside the M3 v1.0 announcement https://medium.com/chronosp…

Modules that rely on global state for anything other than memory pooling or what have you should be avoided. It’s a lot more testable and clean to return a high level data structur…

M3 is meant to be an open source, central, horizontally scalable metrics store - but your mileage may vary. Either way, check it out: https://m3db.io

And M3DB too if you want to cluster and scale out, vs cloud store

Curious: What is your strategy on replication? Is it some form of synchronous replication or asynchronous (i.e. active/passive with potential for data loss in event of hard loss of…

Thank you for mentioning that, Andrew's post is really fantastic covering many things altogether: fundamentals, data structure, real world impact and examples.

FYI M3 is now backed by M3DB, a distributed quorum read/write replicated time-series based columnar store specialized for realtime metrics. You can associate multiple values/timese…

If you're looking at scaling monitoring timeseries data you may also wanter to consider more Availability leaning architecture (in the CAP theory sense) with respect to replication…

In the companies I've worked at, H1-B workers get compensated in software engineering roles just as well as their peers, I've also seen outliers where it's significantly higher (de…

There are plenty of >200k H1B workers in SV, and I do believe these engineers and specialists will wonder how they can do their work elsewhere if they can't reasonably plan a few y…

There's a lot of interest in this space with respect to analytics on top of monitoring and observability data. Anyone interested in this topic might want to check out an issue thre…

M3 separates query and ingestion if you're interested in clustered storage for metrics, slide in question here: https://www.slideshare.net/RobSkillington/fosdem-2019-m3-pro...

You may also want to checkout https://eng.uber.com/m3 which is a highly available RF=3 multi-node TSDB metrics backend and is used with heavy Prometheus workloads and is used to in…

Interesting, didn't realize it imposed a lot of client side changes, I'm curious to hear your experience on that? Was it the change in MySQL compatibility that makes it an upfront …

Since it's range based sharding, was Vitess ever considered (a popular CNCF MySQL range sharding cluster approach that came out of YouTube)?