kirankgollu

5 ms·

1.
by kirankgollu 3mo ago
Thanks varun! let us know what you think about surfacing agent failures automatically, happy to help with onboarding if that helps.
2.
by kirankgollu 3mo ago
Good to know. Could you share your vendor and capabilities and pricing page please?
3.
Show HN: Oodle.ai – $10 per million agent traces(oodle.ai)
31 points by kirankgollu 3mo ago|12 comments
4.
by kirankgollu 11mo ago
Our approach is that you need not worry about this. Oodle will be able to handle any scale including the ephemeral metrics. Secondly, we only look at the unique time series in an hour when computing the billing. This should help us handle e
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Show HN: Oodle – Unified Debugging with OpenSearch and Grafana(blog.oodle.ai)
11 points by kirankgollu 11mo ago|3 comments
6.
by kirankgollu 2y ago
It's not a fair comparison. You can't compare the base tier pricing of Oodle offering with the high scale tier of victoria metrics. As you scale, volume benefits kick in just like the way they are for VM. It's a common wisdom
7.
by kirankgollu 2y ago
As suggested in earlier message, this pricing is only for single node. imo, this needs to be compared to cluster mode - any company with meaningful scale will need reliabilty and needs to run in cluster mode since you’d need your observabil
8.
by kirankgollu 2y ago
Oodle is a fully managed, supports high availability, so was comparing against the cluster mode of victoria metrics cloud offering. RE: Victoria Metrics Pricing: Pls see https://victoriametrics.com/products/cloud/
9.
by kirankgollu 2y ago
your comment said "no magic" and the links points to "#magic-behind-oodle". May be I misread your comment or you didn't mean that.
10.
by kirankgollu 2y ago
Not a fan of bad mouthing other offerings. As @iampims is saying, alerts is a big missing piece. Clickhouse is also a general purpose database for many use cases including analytics, financial servers, ML& Gen AI, fraud, and observabili
11.
by kirankgollu 2y ago
It'd be nice to post a disclaimer if you are working on a competing offering before you post a comment. (for the benefit of everyone)
12.
by kirankgollu 2y ago
Thank you for the feedback. we will keep an eye out for more inputs from our users on this topic. We believe there are clear benefits of open source. In fact, we believe in it so much that we made our product OSS compatible from Day 1. (btw
13.
by kirankgollu 2y ago
That's fair. We actually started with "reduce your costs by 3-10x with infinite scalability" without talking about storing in s3 and serverless (along the lines of your thinking - only talk about benefits + what you do). But
14.
by kirankgollu 2y ago
Oodle is a fully managed offering. Curious why you think Victoria Metrics Cloud is still cheaper. https://victoriametrics.com/products/cloud/ This translates to about $5.2 per 1k metrics, Oodle is $1 per 1k metri
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by kirankgollu 2y ago
Thanks for your inputs, we will followup.
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by kirankgollu 2y ago
thanks for the pointer on logo - we are fixing it later today. Edit: fixed now.
17.
by kirankgollu 2y ago
The actual mileage may vary here - we found this to be true for our early customers. Our pricing is simple, and transparent - https://oodle.ai/pricing . Based on our conversations, we consistently hear this is very cost-effi
18.
by kirankgollu 2y ago
We don’t have plan to open source at this time. Many observability solutions are closed source. Could you please describe why you would require this to be open source vs open source compatible? We think Oodle combines the benefits of open s
19.
by kirankgollu 2y ago
we leverage serverless and s3 based architecture for much lower costs. However, it's applies for any application, not just for serverless applications.
20.
by kirankgollu 2y ago
Thanks for the kind words - we will be posting a feature comparison matrix in the upcoming weeks on our website.
21.
by kirankgollu 2y ago
ClickHouse is great for logs and traces, however, for metrics, it is still in the early phase. ClickHouse is also a general purpose, real time analytics database. See clickhouse.com. Whereas Oodle is specifically built for end-to-end metric
22.
by kirankgollu 2y ago
Thanks for the report - we just deployed fix for the same. No lock-in means it’s 100% open source (PromQL) compatible. You can swap out vendors or move to self-hosted open source solutions should you need to move away from Oodle. When you m
23.
by kirankgollu 2y ago
Our P99 query latency is under 3 seconds, we have tested up to 100M unique time series / hour and the architecture can scale up to billion time series / hour. To get a feel of the performance at high scale, give us a try at https
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by kirankgollu 2y ago
With our custom columnar format and indexes, we are able to filter relevant data files where high cardinality column is present. This helps us to keep the queries faster for high cardinality labels as well, thus, allowing us to quickly dril
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by kirankgollu 2y ago
It’s indeed Grafana. We’ve been maintaing a public fork of Grafana.
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by kirankgollu 2y ago
Point taken. Thanks for the feedback. Our reasoning is that we’d like the name to be short and memorable. And a bunch of observability companies have observe keyword overloaded all over the place, we wanted our name to stand out. Oodle = Op
27.
by kirankgollu 2y ago
This architecture diagram ( https://oodle.ai/product#magicbehindoodle ) goes into more detail into where we leverage Serverless. For ingestion, we still use dedicated compute, but for queries, we leverage serverless.
28.
by kirankgollu 2y ago
yes, it's only fully managed at this time. However, oodle is very cost-efficient, it's cheaper than your self-hosted infra costs. https://oodle.ai/usecases/self-hosted
29.
by kirankgollu 2y ago
Thanks for the heads up. we did check on IP/trademarks just to be sure to avoid violations.
30.
Show HN: Oodle – serverless, fully-managed, drop-in replacement for Prometheus(blog.oodle.ai)
84 points by kirankgollu 2y ago|82 comments

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