Does anyone have any number on Google App Engine (free quota) in terms of total number of request and unique visitors it allows per day?
Maybe someone who has live production code can tell us this?
Rough number is enough, just to get the idea.
I can not get this information from the pricing model.
Thanks
I had this question when I first started using App Engine, but it's impossible to answer with the information in your question.
You must have an estimate on the individual API quota usages, then calculate based on that.
You might be able to simplify it by trying to figure out which API quota you're likely to hit first, and then figuring out the number of requests you can serve before that quota runs out. ie:
Storing photos or other large data for users? You'll probably hit the blobstore quota first. Daily/unique visitor counts probably won't matter.
Serving lots of photos or large data? You'll probably hit the bandwidth quota first.
Need to start a channel for every view? You'll probably hit the channel quota first and get 100 views per day.
Need to send an email for every view? You'll probably hit the mail quota first.
Need to query the datastore a lot? You'll probably hit the datastore limit first.
The datastore limit is the hardest to calculate. You get 50k read and 50k write ops. Most likely you'd read more than write.
If you need 2 read ops per page, you might could do 25k views per day.
If you need 2 read ops per page, but you're smart and you memcache them, and memcache is effective 80% of the time, you could get 125k views per day.
If you need 500 read ops per page and you can't cache it, you can do 100 views per day. That's provided you don't run out of one of the other quotas.
Do your own math.
The quotas and rates (for free and paid apps) are listed on https://developers.google.com/appengine/docs/quotas.
Related
So, i'm a bit confused how youtube API queries impact on quota. They all lay out on a "composition" aspec of requisitions:
The Quota calculator show the cost of various resources.
For example search.list = 100 and videos.list = 1.
One aspect of it is not clear to me though. How it calculates on a 'multi-results' single request?
query
quota doubt
/search?maxResults=10
is it one 100 quota, or ten 100 (1000) quotas?
/videos?id=A,B
is it one quota, or two quotas?
/video?part=A,B
is this adding two quotas? (each video??) Since no ?part= returns only id related data
/...?fields=A,B(C)
is fields query impacting the request quota anyhow?
I first thought it was really straightforward: 1 call, 1 quota "package". And that seemed to be supported by this calculator's quote:
If your application calls a method, such as search.list, that returns multiple pages of results, each request to retrieve an additional page of results incurs the estimated quota cost.
But while developing a simple video list, my daily quota blew up pretty damn fast. So not sure anymore.
Every time you call the method in question you incure the quota cost
For example:
search.list 100
WHen you call search.list it costs 100 if you call it again to get the next page of results it will cost you another 100 points.
Ig we check this one where you are trying to get back two videos.
/videos?id=A,B
The same is true it will be a single request to the server so the quota cost will be one.
Fields does not effect it. Its just the request you make. Batching will also not save you from quota cost. If you batch these requests you will be charged for each of the quests within the back.
Intro to YouTube API and cost based quota for beginners
A lot of this information is on the Quota cost page.
The table below shows the quota cost for calling each API method. All API requests, including invalid requests, incur a quota cost of at least one point.
If your application calls a method, such as search.list, that returns multiple pages of results, each request to retrieve an additional page of results incurs the estimated quota cost.
I have launched a new web app this month. I'm trying to understand why I'm getting such a high datastore read value, even though all my entities are cached.
So, my main point of misunderstanding is this. in the total quota overview for this month I have 1.12 M read operations in the datastore.
But when I go to the memcache section in the console, it tells me the hit ratio is 96.35% and the numbers are: 1,457,499 hit / 55,177 miss
First of all, is it true that these numbers are per month or are they per day?
Second, how is this possible?
I know that reads in transactions don't user the cache. But I do not make heavy use of transactions. Is there anything other than transactions that can cause this?
If you want more insight into your Objectify memcache hit rates, mount the MemcacheStatsServlet (or look at its code and do something similar). This will provide your cache hit ratio broken down by Kind.
Keep in mind that since it is reporting for just one instance (whichever you happen to hit with your request for stats), this is only a representative sample of what is going on in your cluster.
Somehow I got in mind that the Data Store of the Google App Engine only allows 1000 writes / minute.
After I couldn't find any information on the web or in the quota docs I just wanted if someone can verify this information. Thanks
I've never seen any mention of this. There's a 1 write per second limit on an entity group, but you should be able to write to a very large number of entity groups at the same time.
The logs tell me how much a certain request costs
api_cpu_ms=278 cpm_usd=0.009244
Is this cost still accurate with the new billing model?
Can I deduce anything about the number of datastore operations the request used?
Is there any way to know the exact number of read, write and small datastore operations used during a single request?
I was told about 2 months ago that they do not reflect the new billing model, and I haven't seen any indications that they've been fixed to reflect the new billing model.
You can get the number of operations per request by enabling Appstats in your application.
I've chosen google-app-engine because of its scalability, and now I try to understand how much I will have to pay once I release the product.
I've looked back and forth in the google app engine documentation to find an answer for question and couldn't find. I found few details in the "Quotas" page, I found how much I can get for free and how much is the Billing Default Quota.
In Billing Page there are number for CPU, etc with Resource and Unit and how much it cost. But no where could I find how much will it cost me per channel calls/created, etc.
I can't even try to make calculations with what's in the Admin console, because the current numbers there now are 0 (since there are 2 users which are the programmers).
How can I be ready for the releasing of the product that (hopefully) will have a huge number of channels created daily?
Is there a page I missed, or is there a tool for calculating?
Thanks!
EDIT:
Moishe, thanks for the quick and readable answer. So here are some more questions:
1. Do you think - if needed - that I will be able to get even more quota for the number of channels? I saw there's a special form to ask for more quotas, but I'm not sure that includes the Channel-API feature...
2. Are there any posts you've made for "how to use channel-API efficiently"? I saw some stuff about reusing the tokens per user. Is there more?
Thanks again.
Creating a channel costs about 2.7 CPU-seconds. A CPU-hour costs $0.10. So, each channel created costs
(2.7 / 3 600) * $0.10 = $7.5 × 10^-5
So creating 1000 channels will cost $0.075, or 7.5 cents.
You'll also get charged the normal outgoing bandwidth costs for any data sent over a channel.
The CPU cost probably isn't the biggest concern; you're more likely to run into quota caps then running out of money. Paid apps are limited to 86400 channel creations/day (1/second).