There is such a system. In most places (i.e. not near controlled airports) everything below 700ft or 1200ft is uncontrolled. Basically look around and fly.
I see $0.182/h/1M ts = $0.182 per 1k metrics (S.STARTER.A instance)
Also Oodle website says to "Contact for pricing beyond 5M". While VictoriaMetrics Cloud only starts at 1M (S.STARTER.A), and "Contact Us" starts at 125M active time series.
PS: time series is only one dimension, there's also storage size, retention, query/alerts frequency etc.
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/. The pricing that you are referring doesn't seem public, looks like you've to sign up to see that pricing. $190/month is a single node pricing. For any real use cases, you need HA and victoria metrics enterprise pricing for a cluster starts at $1300/month for 250k metrics. This translates to $5.2 per 1k metrics (5x more expensive than Oodle). For a real scale about ~2.5M or ~5M time series / hour, Oodle is around half the cost of victoria metrics.
RE: Pricing dimensions, we've simplified our pricing by indexing on a single dimension. We don't require our customers to choose machine type, RAM, CPU etc. There are other limits but for the most part, they don't matter so much in our pricing.
RE: Pricing tiers, anything more than $30-50k/year (>5M time series / hour), companies usually to talk with someone for volume discounts rather than go with online pricing.
Although I see for C.XLARGE.HA they go down to $0.56 per 1k time-series per month, just not for the smallest instance. So looks like VictoriaMetrics can be 2x less expensive than Oodle on large scale.
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 that enterprise companies don't swipe credit cards beyond 50k/year. We request our customers to speak with us when they get to high scale tiers.
250k metrics - Oodle is 5x cheaper,
< 5M metrics - Oodle 2-3x cheaper,
beyond 5M - talk to us (our pricing will be competitive and will be better)
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 observability systems to be up and running when the rest of your systems are down.
Very different tools, applications almost don't intersect actually.
ClickHouse is an analytical database (for events). Yes, you can do metrics in there (or PostgreSQL for that matter). Observability has their own needs, so specialized solutions work better, more integrations and out-of-the box tooling already provided.
With generic databases it's more like a constructor that you'd need to develop a lot to become workable. For example, let's say you have 50m active time series, with 1%/hour churn rate. What would be the database structure in ClickHouse?
(my answer is that I don't know. I know mostly VictoriaMetrics, and there's no such question there, the structure is already implemented).
Landing area is one thing, but more important and dangerous is reentry profile. Too steep, and the capsule melts down or crew inside becomes very flat from the deceleration.
The complexity comes from the fact that water moves mostly up-down in a wave, not horizontally. It's _wave_ front that moves horizontally towards a beach.
In a lawyers view, and a judge's view, some skilled expert "hackers" can, and its called hacking. (so i guess we're all hackers)
I once discussed these things with a (knowledgeable) lawyer. He explained you can just present almost anhthing in a court case, and when it isn't refuted, well then it's valid.
In a case my lawyer (same one) presented a printed out email. Other party did not claim it was false, so it's suddenly just as valid as a registered letter. (it was a genuine email).
In another unrelated case, the other party suddenly introduced a forged picture. If I hadn't been there at that moment (I wasn't supposed to actually), then suddenly it would have been proof.
Court cases are not about truth, and not about justice. They are about convincing the judge.
Well, at least for email, it's theoretically possible to prove it's authenticity through third-parties. E.g. lawyer can ask GMail "did you receive this email with this DKIM?".
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