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Show HN: Oodle – serverless, fully-managed, drop-in replacement for Prometheus

blog.oodle.ai

61–70 of 90 posts

Re: Show HN: Oodle – serverless, fully-managed, drop-in replacement for Prometheus

#62
The Oodle team is great! If you're looking for a cheap metrics (prom/otel) store, check it out!

Not to mention they offer the best metrics free tier in the entire space... Let me know if you know of a better free tier ;)

Unfortunately, Grafana Cloud only offers 10k active series, which is really easy to surpass even in a homelab; meanwhile, Oodle offers 100k.

Re: Show HN: Oodle – serverless, fully-managed, drop-in replacement for Prometheus

#63
post #62

The Oodle team is great! If you're looking for a cheap metrics (prom/otel) store, check it out! Not to mention they offer the best metrics free tier in the entire space... Let me know if you know of a better free tier ;) Unfortunately, Grafana Cloud only offers 10k active series, which is really easy to surpass even in a homelab; meanwhile, Oodle offers 100k.

Is this comment legit? New account, no activity…

Re: Show HN: Oodle – serverless, fully-managed, drop-in replacement for Prometheus

#64
post #19

We, at Workorb, migrated from Grafana to Oodle and very happy so far. Observability space does need a ground up reimagination and we think Oodle is positioned to do that.

I'm curious, why did you move off of grafana? For the same reasons op listed or for other reasons?

For us, cost, specially as we grow and number of metrics and tags increase was a factor. We are also starting use Oodle AI for helping with discovery of problem root cause faster.

Re: Show HN: Oodle – serverless, fully-managed, drop-in replacement for Prometheus

#65
post #18

Earlier quoted context omitted.

It'll work. Clickhouse has even experimental support for storing prometheus metrics natively. A big missing piece is alerting.

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 metrics observability.

Curious to know what you mean by "early phase" here.

Re: Show HN: Oodle – serverless, fully-managed, drop-in replacement for Prometheus

#66
very interesting solution. and great idea to have a playground. would love to know some details on the implementation of the architecture you have shared - 1. how do you query across multiple files, do you have a query engine like data fusion doing that heavy lifting, or is this a custom implementation ? 2. how do you manage a WAL with real time query-ability across files ? have you seen any failures (recent entries missing sort of issues) Thanks, once again really interesting design and intuitively looks more economical.

Re: Show HN: Oodle – serverless, fully-managed, drop-in replacement for Prometheus

#67
post #49

Earlier quoted context omitted.

Oodle can be utilized solely as a datasource, but we also wanted to provide a solution for customers who don’t have a visualization platform in place. Here is the branch we use: https://github.com/oodle-ai/grafana/tree/v11.1.0-oodle-stabl... , which has all the changes we have made in Grafana.

So the vast majority of your fork is just rebranding? Customers get to lose thousands of commits worth of improvements for that?

I presume its more due to licensing than rebranding.

Re: Show HN: Oodle – serverless, fully-managed, drop-in replacement for Prometheus

#68
post #50

Earlier quoted context omitted.

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

I would love to see an actual breakdown of oodle vs self hosted costs. I seriously doubt that it’s cheaper.

Unless you have heavy experience hosting and tuning prometheus, its not easy to be that cost efficient. It has a tendency to OOM crash on heavy queries if enough memory isnt provided, and provisioning huge memory for occasional queries becomes expensive quickly. Not to mention backups and replicas.

Re: Show HN: Oodle – serverless, fully-managed, drop-in replacement for Prometheus

#69

Earlier quoted context omitted.

“fully-managed, cheap metrics, ideal for serverless applications”

we leverage serverless and s3 based architecture for much lower costs. However, it's applies for any application, not just for serverless applications.

Your costs and deployment pattern are your problem, customers don’t care about them.

Saying it is serverless means nothing to customers unless the serverless aspect applies to them, which in this case it doesn’t. If you’re only selling access to your product for a fee, then whether it’s serverless or not, customers couldn’t care less.

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