fivemetrics | open source solution that provides a centralized view | Cloud Functions library

 by   opservices PHP Version: Current License: Apache-2.0

kandi X-RAY | fivemetrics Summary

kandi X-RAY | fivemetrics Summary

fivemetrics is a PHP library typically used in Serverless, Cloud Functions, Amazon S3 applications. fivemetrics has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

FiveMetrics is an open source solution that provides a centralized view of your AWS environment with awesome dashboards, time series and realtime data collected from AWS specific APIs, including CloudWatch.

            kandi-support Support

              fivemetrics has a low active ecosystem.
              It has 15 star(s) with 5 fork(s). There are 5 watchers for this library.
              It had no major release in the last 6 months.
              There are 0 open issues and 1 have been closed. On average issues are closed in 54 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of fivemetrics is current.

            kandi-Quality Quality

              fivemetrics has no bugs reported.

            kandi-Security Security

              fivemetrics has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              fivemetrics is licensed under the Apache-2.0 License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              fivemetrics releases are not available. You will need to build from source code and install.
              Installation instructions are not available. Examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed fivemetrics and discovered the below as its top functions. This is intended to give you an instant insight into fivemetrics implemented functionality, and help decide if they suit your requirements.
            • Creates a collection of Collects .
            • Start discovery .
            • Get the response for a collect .
            • Get metric data .
            • Update account configuration .
            • Build a job collection from filters .
            • Import entries .
            • Process the measure .
            • Get metrics tags .
            • Wait for write .
            Get all kandi verified functions for this library.

            fivemetrics Key Features

            No Key Features are available at this moment for fivemetrics.

            fivemetrics Examples and Code Snippets

            No Code Snippets are available at this moment for fivemetrics.

            Community Discussions


            Automatic delete Cloud Logging logs
            Asked 2022-Mar-23 at 16:41

            I would like to know if there is a way to periodically delete logs from inside Cloud Logging.

            I have setup Firebase with Cloud Functions and i have an automatic Cloud Logging logs injection done for each function call.
            I don't want especially to stop sending logs to Cloud Logging, but i would like to be able to manage my costs by deleting older logs.



            Answered 2022-Mar-23 at 16:41

            You can set a retention policy on your Cloud Logging bucket to match with your requirements, which can auto-delete logs after between 1 day and 10 years.



            Firebase function failing to deploy
            Asked 2022-Feb-17 at 15:31

            I'm trying to create a Firebase Function but I'm running into a deploy error, even when deploying the default helloworld function.

            The firebase-debug.log file mentions this: Could not find image for function projects/picci-e030e/locations/us-central1/functions/helloWorld.

            I have been trying to debug and so far have not been able to solve it...




            Answered 2022-Feb-06 at 14:36

            Could not find image for function projects/picci-e030e/locations/us-central1/functions/helloWorld.

            The Firebase Function deployment failed because it cannot find the image built based on your function app. There might be a problem building in your app, it could be your dependencies or files.

            I replicated your issue, received the same error and solved it. There's a problem with the package.json file and package-lock.json. If you just add(without installing) your dependency in package.json you should delete or remove your package-lock.json that will be found in function directory before you deploy it again using the deployment command:



            Implementation of Distributed-Counter-Extension for local emulator
            Asked 2022-Jan-24 at 17:55

            The firebase extension for a distributed counter can be directly installed for the cloud and works just fine. To develop new features for an app I need to do this on the emulator to not interrupt the running server.

            As the firebase extensions simply are cloud Functions*, I thought about implementing the cloud function in my emulator by getting the source code from the extension itself. This worked fine for other extentions so far...

            Error and Disfunction when implementing

            When implementing the javaScript version that i get the following error:

            function ignored because the unknown emulator does not exist or is not running.

            This problem can be fixed by rewriting the export line of the index.jsfunctions, but is wont provide the expected functionality of the extension anyhow:



            Answered 2022-Jan-24 at 17:55

            firebaser here

            Firebase Extensions normally declare their triggers in the extension.yaml file, instead of in the code itself. Therefore, in order to emulate an extension in this way, you'd need to move the triggers over to the code.

            For your specific example of the 'worker' function, the extension declares what document to listen to here, so we'll copy the document over to the code:



            Build a container image from inside a cloud function
            Asked 2021-Dec-22 at 00:59

            Context: I am training a very similar model per bigquery dataset in Google Vertex AI, but I want to have a custom training image for each existing dataset (in Google BigQuery). In that sense, I need to programatically build a custom Docker Image in the container registry on demand. My idea was to have a Google Cloud Function do it, being triggered by PubSub topic with information regarding which dataset I want to build the training container for. So naturally, the function will write the Dockerfile and pertinent scripts to a /tmp folder within Cloud Functions (the only writable place as per my knowledge). However, when I try to actually build the container within this script, apparently, it doesn't find the /tmp folder or its contents, even though they are there (checked with logging operations).

            The troubling code so far:



            Answered 2021-Dec-21 at 11:07

            I've locally tested building a container image using Cloud Build Client Python library. It turns out to have the same error even the Dockerfile file is existing in current directory:


            Step #0: unable to prepare context: unable to evaluate symlinks in Dockerfile path: lstat /workspace/Dockerfile: no such file or directory

            build steps:



            Error when import firebase-functions-test when testing with mocha
            Asked 2021-Dec-02 at 09:53

            I am trying to setup a Firebase Cloud Functions repo to run mocha test. However, it throws the following error when I use import * as firebase from "firebase-functions-test"; or const firebase = require("firebase-functions-test")();. You can see in my code that I haven't even called the actual firebase functions yet so I think this a setup issue.

            Question: What change do I need to make mocha test running for Firebase Functions testing using import syntax?

            Working test code



            Answered 2021-Dec-02 at 09:53

            This error should be resolved after specifying the latest version of the

            • firebase-functions, v3.16.0, and

            • firebase-functions-test, v0.3.3.



            Parsing error: Cannot read file '\tsconfig.json' eslint after following Firebase Cloud Functions initialization instructions
            Asked 2021-Nov-16 at 16:17

            Right after my TypeScript project initialization in VSCode using firebase tools for composing Firebase Cloud Functions following the official documentation the very first line of the index.ts file displays an error:

            Parsing error: Cannot read file '\tsconfig.json' eslint [1,1]

            and the .eslintrc.js displays an error:

            File is a CommonJS module; it may be converted to an ES6 module.ts(80001)

            Since all files are auto-generated these errors are a complete surprise and I want to get rid of them.


            For the record, here are the versions installed:



            Answered 2021-Nov-16 at 16:17

            Ok, I have solved the problem with a great help of this github thread False positive Error - TS6133 error (declared but its value is never read) report.

            I have changed "noUnusedLocals" setting in the tsconfig.json file from the default true to false, so the file becomes:



            firebase function with realtime database error
            Asked 2021-Nov-08 at 12:28

            I am new to firebase function and trying to use firebase function with Realtime database (Emulator suite).But when i try to set the value in firebase using the firebase function,it gives an error and doesn't set the value in database.




            Answered 2021-Nov-05 at 13:59

            I'm unsure as to the cause of that log message, but I do see that you are returning a response from your function before it completes all of its work. In a deployed function, as soon as the function returns, all further actions should be treated as if they will never be executed as documented here. An "inactive" function might be terminated at any time, is severely throttled and any network calls you make (like setting data in the RTDB) may never be executed.

            I know you are new to this, but its a good habit to get into now: don't assume the person calling your function is you. Check for problems like missing query parameters and dodgy data before you blindly action something. The Admin SDK bypasses your database's security rules and if you are not careful a malicious user can cause some damage (e.g. a user that updates /users/$theirUid/roles/admin to true).



            Firebase Cloud Functions min-instances setting seems to be ignored
            Asked 2021-Oct-30 at 06:35

            Firebase has announced in September 2021 that it is possible now to configure its cloud function autoscaling in a way, so that a certain number of instances will always be running (

            I have tried to set this up, but I can not get it to work: At first I have set the number of minimum instances in Google Cloud Console: Cloud Console Screenshot After doing this I expected that one instance for that cloud function would run at any time. The metrics of that function indicate that it instances were still scaled down to 0: Cloud functions "Active Instances Metric"

            So to me it looks a bit as if my setting is ignored here. Am I missing anything? Google Cloud Console shows me that the number of minimum instances has been set to 1 so it seems to know about it but to ignore it. Is this feature only available in certain regions?

            I have also tried to set the number of minimum instances using the Firebase SDK for Cloud Functions ( This gave me the same result, my setting is still ignored.



            Answered 2021-Oct-30 at 06:35

            According to the Documentation, the Active Instances metrics shows the number of instances that are currently handling the request.

            As stated in the Documentation :

            Cloud Functions scales by creating new instances of your function. Each of these instances can handle only one request at a time, so large spikes in request volume often causes longer wait times as new instances are created to handle the demand.

            Because functions are stateless, your function sometimes initializes the execution environment from scratch, which is called a cold start. Cold starts can take significant amounts of time to complete, so we recommend setting a minimum number of Cloud Functions instances if your application is latency-sensitive.

            You can also refer to the Stackoverflow thread where it has been mentioned that

            Setting up minInstances does not mean that there will always be that much number of Active Instances. Minimum instances are kept running idle (without CPU > allocated), so are not counted in Active Instances.



            Receiving inconsistent data in Go api
            Asked 2021-Oct-23 at 12:31

            I was learning the Go language and tested Google Cloud Functions with go + Google Firestore as the database.

            While I was testing the response I got inconsistent responses.

            I have used the json Marshaller to convert Firebase data to Json object to return from the API, this API is hosted in the Google Cloud Functions.



            Answered 2021-Oct-23 at 12:31

            The solution i got after marshal and unmarshal, it works as expected.



            Get the client_id of the IAM proxy on GCP Cloud composer
            Asked 2021-Oct-15 at 15:02

            I'm trying to trigger Airflow DAG inside of a composer environment with cloud functions. In order to do that I need to get the client id as described here. I've tried with curl command but it doesn't return any value. With a python script I keep getting this error:



            Answered 2021-Sep-28 at 13:00

            Posting this Community Wiki for better visibility.

            As mentioned in the comment section by @LEC this configuration is compatible with Cloud Composer V1 which can be found in GCP Documentation Triggering DAGs with Cloud Functions.

            At the moment there can be found two tabs Cloud Composer 1 Guides and Cloud Composer 2 Guides. Under Cloud Composer 1 is code used by the OP, but if you will check Cloud Composer 2 under Manage DAGs > Triggering DAGs with Cloud Functions you will get information that there is not proper documentation yet.

            This documentation page for Cloud Composer 2 is not yet available. Please use the page for Cloud Composer 1.

            As solution, please use Cloud Composer V1.


            Community Discussions, Code Snippets contain sources that include Stack Exchange Network


            No vulnerabilities reported

            Install fivemetrics

            You can download it from GitHub.
            PHP requires the Visual C runtime (CRT). The Microsoft Visual C++ Redistributable for Visual Studio 2019 is suitable for all these PHP versions, see You MUST download the x86 CRT for PHP x86 builds and the x64 CRT for PHP x64 builds. The CRT installer supports the /quiet and /norestart command-line switches, so you can also script it.


            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
            Find more information at:

            Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items

            Find more libraries
          • HTTPS


          • CLI

            gh repo clone opservices/fivemetrics

          • sshUrl


          • Stay Updated

            Subscribe to our newsletter for trending solutions and developer bootcamps

            Agree to Sign up and Terms & Conditions

            Share this Page

            share link

            Reuse Pre-built Kits with fivemetrics

            Consider Popular Cloud Functions Libraries