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

blog.oodle.ai

41–50 of 90 posts

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

#41

I don't know how trademark works or anything like that not a lawyer etc etc but lots of stuff are called oodle. I wish you luck.

This is the one that came to mind for me when I saw Oodle: https://www.radgametools.com/oodle.htm

Same. Oodle is extremely well known in the game dev sphere. It’s literally baked into PS5 silicon for hardware decompression.

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

#42

Cool! The website says “No Lock-In” does it mean that I can bring by own compute and storage? Also, found a few typos and a broken link, see error report here: https://triplechecker.com/s/xEd4Hp/oodle.ai?v=uxGS1

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 migrate out, you get to export all your data, dashboards and alerts. you don't need to make any code changes.

We support bringing your own bucket (BYOB) for large enterprise customers however, you cannot bring your own compute at this time. Our thoughts are along the lines of how Snowflake approached the problem - everything fully managed to keep the operational overhead minimal. https://jack-vanlightly.com/blog/2023/9/25/on-the-future-of-...

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

#43

"fully managed, serverless" So its not really a drop in replacement for prometheus then, its more of a send all your data to some other bloke kind of replacement. Software as a service is fine, but you dont need to hide it behind hip marketing terminology.

Technically you are correct, the scraper will still exist. However, the hard part is scaling the query and storage layers which we replace.

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

#44

Earlier quoted context omitted.

It’s indeed Grafana. We’ve been maintaing a public fork of Grafana.

Where do you keep the code? Found it: https://github.com/oodle-ai/grafana Why do this instead of just build a data source? Edit: Not to be that guy (but I'm about to be that guy). You have links to grafana.com (which, is your competitor), all over the source in your page. This also lists the version as 11.1.0, which was released 6-21. All of the versions in your fork repo mention 11.0.0-pre. Did I find the wrong repo…

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.

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

#45
post #18

I have been meaning to ask the observability experts this question: Why not dump all metrics , events and logs into Clickhouse ? and purge data as necessary? For small to medium sized businesses/solution ecosystem, will this be be enough ?

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.

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

#46

Love the observability feature here. Would love to see a detailed feature set comparision along on the competetitors landscape

Thanks for the kind words - we will be posting a feature comparison matrix in the upcoming weeks on our website.

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

#48
post #15

The logo on your main page for oodle.ai is blurry. Why use a .ai domain? I love LLM but this is a turnoff to me.

We are still early in our journey, and are currently working on leveraging LLMs for incidents and query / dashboard generation.

We do use pre-LLM-era AI and statistical analysis to provide insights and auto create dashboards for alerts (currently in alpha).

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

#49

Earlier quoted context omitted.

Where do you keep the code? Found it: https://github.com/oodle-ai/grafana Why do this instead of just build a data source? Edit: Not to be that guy (but I'm about to be that guy). You have links to grafana.com (which, is your competitor), all over the source in your page. This also lists the version as 11.1.0, which was released 6-21. All of the versions in your fork repo mention 11.0.0-pre. Did I find the wrong repo…

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?

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

#50

Is it SaaS-only?

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.
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