Gracenote (GNSDK): what are the rate limits after upgrading to Accelerator plan? - gracenote

What would be the rate limits for GNSDK after joining to the Accelerator Beta plan? (max number of calls per second per user, and max number of calls per day per user)

Since Accelerator plan is for commercial use, we try to make the query limit flexible to meet your needs. Typically, the limit begins from several thousand calls per end user per day, and can adjust accordingly. Of course, Accelerator plan developers can notify us in advance to set a query limit that fit their use case.

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Azure CosmosDB AutoPilot Cost calculation and estimation by hour basis?

I am running an experiment on two cosmosDB with fixed and autoPilot R/U respectively. The request load and R/U consumption is exactly the same as well as all the other parameters except for the throughput setting. But there is big leap in hourly costing chart (autopilot is consuming one dollar whereas fixed is consuming 7 dollars per hour for the same throughput). I have checked all the parameters multiple times and both the experiments have exactly the same settings, however the costing chart is not making any sense.
It would be really helpful if someone can shed some light on this.
autopilot is renamed to autoscale now,and it has been changed.
I read an official blog and there is a word in it:
"Billing is done on a per-hour basis, for the highest RU/s the system scaled to within the hour."
The reason why autoscale only consumes one dollar may be your consumption of RU/s is low in that hour.
Here is the pricing page.
Hope these can help you.

Here API Request Per Second limits

I'm testing out the Here API for geocoding purposes. Currently in the evaluation period, some of my tests include geocoding as many as 400 addresses at a time (later I may rarely hit 1000). When I tried this with google maps, they would give me an error indicating I'd gone over the rate limit, but I have not gotten such an error from Here API despite not limiting the rate of my requests (beyond waiting for one to finish before sending the next).
But in the Developer FAQ the Requests Per Second limit is given as:
Public Plans Business Plans
Basic 1 N/A
Starter 1 1
Standard 2 2
Pro 3 3
Which seems ridiculously slow. 1 request per second? 3 per second on the highest plan? Is this chart a typo? If so, what are the actual limits? If not, what kind of error should I expect if I exceed that limit?
Their documentation states that the RPS means "for each Application the number of Requests per second to HERE Services calculated as an average (number of Requests during a period of 5 minutes) to all of the APIs used to access the features listed for each subscription plan".*
They say later in the documentation that quota is calculated monthly: "When a usage record is loaded into our billing system that results in a plan crossing its monthly quota, the price applied to that usage record is pro-rated to account for the portion that is included in your monthly quota for free and the portion that is billable. Subsequent usage records above your monthly quota will show at the per transaction prices listed on this website."*
Overages are billed at 200/$1 USD for Business or 2000/$1 USD for Public plans. So for the Pro plan, you will hit your limit if you use more than 7.779 million API requests in any given month, any usage beyond that would be billed at the rates above.
Excerpts taken from Developer FAQ linked above.

BigQuery bill breakdown? [duplicate]

Google Cloud billing is not updating with the free trial (on monthly payments) and I can not change it to a faster update cycle. As per https://cloud.google.com/free-trial/docs/billing-during-free-trial the bill should come every month.
It is therefore not easy to see how much of the 300$ is left.
Is there any way to at least see how many TBs my queries used? This should be by far the biggest item on the bill.
I am concerned that I might get 'stuck' between some important queries that I otherwise could have managed better to have at least partial results available after the trial ends.
BigQuery analysis & storage costs should be listed under your GCP billing transactions:
https://console.cloud.google.com/billing/<INSERT_YOUR_BILLING_ID_HERE>/history?e=13803970,13803205
Another way to see how much you have queried is by enabling audit logging as described here.

Firebase connections mean

After reading this thread I still not very clear.
I use Candle plan for my example.
If every user in my app have 1 browser tab open mean I can only have 200 users in the same time?
If you're running the free plan, firebase will cut you off at 50 connections. This means, user 51 will be unable to connect to firebase. Or, if you open 50 tabs that are all identified as unique firebase connections, tab 51 will not connect.
If you're using any paid plan, your connections will expand and scale automatically, this means that users will never be cut off.
"Because we use 95th percentile billing, you won't be charged for your overages 5% of the time (about 1.5 days each month). If you exceed your limits for more than 5% of the month, the following overage fees will be added to the base price of your monthly bill:"
So, even if you exceed your number of active connections, it will not count for billing unless the number of active connections exceeded your maximum for over 5% of the time covered in the billing period.
Any paid plan will never be cut off (as long as you continue to pay your bills and overages!) so you can have more than 200 users simultaneously!
Source: Firebase

User Rate Limit Exceeded

As I am not coming close to 100000 queries per day I am assuming that Google is referring to the Freebase 10 requests per second per user limit. (I am passing in my Goggle Key)
If i am running a query that crosses multiple Freebase domains is that considered more than one request? Or is a single query considered one request regardless of it size?
thanks
Scott
Yes, it sounds like you're exceeding the per/second rate limit. You'll need to introduce some delays in your application so that you don't exceed the limit. The rate limit only applies to HTTP requests so you can query as much data as you like as long as it fits in one request.

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