On Dec 13, 2021, the Firebase Storage team received multiple reports of object upload and preview errors from clients of several major ISPs in Korea: KT, SKT, LG U+. These ongoing errors are the result of an ISP-side domain block of firebasestorage.googleapis.com.
firebaser here
We've seen reports from users and developers in Korea about being unable to access data in Cloud Storage through Firebase SDKs or otherwise.
This seems to be happening before the requests hit our infrastructure, so I recommend reaching out to the relevant ISPs and asking them to investigate.
Related
Google is deprecating Cloud Iot, so not an option.
https://cloud.google.com/iot/docs/release-notes
Cloud IoT Core will be retired on August 16, 2023. After August 15, 2023, the >documentation for IoT Core will no longer be available.
I would like to use Firebase - Firestore for my backend. It takes all the hassles out of keeping a server up and running, scalability etc.
I managed to send data after login and authentication from an ESP32S3 using ESP-IDF in C, (note not Arduino, and not C++), and would like to know if I can rather use a websocket for the communication, once the Authentication done, and if so, can you give me a code example or pointers.
With a websocket, I can send data to my own server hosted in Europe, in less than 400ms.
With Firestore, there is a large HTTP header, that includes the API key, and also the Auth Token, a large amount of data, quite a lot of handshaking going on over HTTPS, and eventually the data is sent. This takes more than 1400ms.
We are weighing items in a farming scenario, and need to weigh very frequently, and the 1400ms with fast internet is not acceptable.
So if I could still go with Firebase Authentication, and Firestore for data, I probably would be able to speed it up to even faster than 400ms if I could use a WebSocket client connection with the Firestore document store. I can use the Refresh Token if needed to refresh the Auth Token, and thus keep the socket connection up, every 3600s as required by Firebase, (that also takes quite long) but less of a hassle, as only once every say 55 minutes.
Any pointers, advice will be appreciated.
Firestore supports multiple SDKs and wire protocols, but none of them work over web sockets. The closest you can get with Firestore would be its REST API, which is documented here. It's not the easiest protocol to work with though, so I recommend using the API explorer that is built into the documentation to create examples for yourself.
Dear Stackoverflowers,
For some reason my GA4 and tag manager only show that traffic from the 'leads' is coming from 'Direct' traffic which is impossible because we are reaching the traffic through advertisements.
I have attached 2 images of what GA4 tracking actually shows about the visitors and that most of our traffic is not 'Direct'. For some reason it does not connect the data about 'Paid advertisement' or 'Social advertisement' on the Google Analytics Property.
What am I doing wrong on the 'Leads'? Shouldn't Google be automatically able to trace this type of data since it actually shows correctly on visitors data?
Thanks in advance,
I have a small service discovery service running on Google App Engine free tier. It queries Google Cloud Datastore with simplest queries on the data that is virtually static. Recently we had incidents that the service was returning empty results. That was going on for 12 hours. After that results came back to normal. We only recently noticed it. In the logs I see at least 3 incidents like that.
I logged into a console and saw:
0 app errors
0 server errors
all green GCE status
max used quota is just 5%
intervals of time where every response is 204
I see absolutely no reason to receive an empty response and yet they are sometimes empty. I see no way to notify Google that there is cloud-side problems, since this is a free tier account with no support.
So, is there anything I might have missed?
UPD: As I look into the code, the only way to get 204+empty body is to have exception in getting an instance of javax.jdo.PersistenceManager or a new instance of javax.jdo.Query. So it is less likely that Cloud Datastore is at fault, because if the result would be empty, app should answer 200+[], if there was an error during a query, app should answer 204+<h1>Exception</h1>....
But again, I don't see how request could work now, but not work 5 minutes ago.
UPD2: The app was stable for more than two years.
I am using Go on App Engine. In most cases, I use the file api to access GCS, which works great, except that deletes don't work so to delete files I use the JSON-API (specifically, the google-go-api-client). To authenticate, I use app engine service accounts. We are sometimes seeing an error come back of "Over quota:" with nothing after the colon. Since we are a paid app, what quota could this be? Is there a burst limit (e.g. no more than X requests in a single minute)? Is there any places where any such applicable quotas are documented?
The caching mechanism is broken for goauth2 and serviceaccount tokens. You can see the issue I created here for more detail: https://code.google.com/p/goauth2/issues/detail?id=28
I came across a "over quota" issue myself when requesting more than 60 service accounts a minute. I opened a ticket with AppEngine support (I pay for the silver package) and got this undocumented information out of them.
You can apply the patch yourself in your $GOPATH/src/code.google.com/p/goauth2/appengine/serviceaccount/cache.go file. This fixed the issue you described for my team.
Even i had found same problem and found two reasons:-
1.Daily budget
2.Logs retention
Solution:
for problem 1 increase the daily budget
for problem 2 increase the retention from 1 to higher GB
![enter image description here][1]
Our hosting provider uses an app called AWStats for to give us data about visits/visitors etc. However when I compare that to my google analytics data the numbers are far off. For example AWStats says we had about 5000 visitors but GA says about 1500. How can I uncover the source of the disparity?
A few ideas:
Improper implementation for one or both analytics services
Different definition of what a visitor is for both analytics services. For example, does GA say that you have 1500 unique visitors? or 1500 visits?
Have you tried using a program like HTTPFox to look at the requests getting sent? Are there duplicate requests?