I create a new project via sam init and I select the options:
1 - AWS Quick Start Templates
1 - nodejs14.x
8 - Quick Start: Web Backend
Then from inside the project root, I run sam local invoke -e ./events/event-get-all-items.json getAllItemsFunction, which returns:
Invoking src/handlers/get-all-items.getAllItemsHandler (nodejs14.x)
Skip pulling image and use local one: public.ecr.aws/sam/emulation-nodejs14.x:rapid-1.32.0.
Mounting /home/rob/code/sam-app-2/.aws-sam/build/getAllItemsFunction as /var/task:ro,delegated inside runtime container
Function 'getAllItemsFunction' timed out after 100 seconds
No response from invoke container for getAllItemsFunction
Any idea what could be going on or how to debug this? Thanks.
Any chance the image/lambda make a call to a database someplace? and does the container running the lambda have the right connection string and/or access? To me sounds like your function is getting called and then function is trying to reach something that it can't reach.
As far as debugging - lots of console.log() statements to narrow down how far your code is getting before it runs into trouble.
Related
I have a Firebase project with 29 functions 2 with python and 27 with nodejs.
Modified 2 of them and now I can't deploy properly. I get an error log that send me to the logviewer and one of the errors is:
ERROR: build step 3
"us.gcr.io/fn-img/buildpacks/nodejs10/builder:nodejs10_20201201_20_RC00"
failed: step exited with non-zero status: 46
The functions keep on working, but I can't update/deploy properly. When I try to deploy them individually I get that error for both functions, but when I try to deploy ALL the functions I only get the error with those 2 functions the rest of the functions, that don't have any modification have no problem redeploying.
I checked the source code in the Cloud console and they have a warning icon saying that:
Function is active, but last deployment failed
The source code in the Cloud console is the same as the one I'm trying to deploy but the functions has the same functionality that before when I made the changes, the functions still works but can't update.
These are javascript functions that I deployed using the Firebase Node Sdk.
Any help?
EDIT I:
I reverted the changes on one of the functions that's been there for over 2 years and still have the same issue, can't update/deploy, that function triggers on storage.onFinalize().
The other function on firestore.onCreate()
EDIT II:
The newest function that I created is not in use, is part of a new feature in my android application, so I duplicated it, gave it different name and deployed without issues. In that case I could delete the original function without any issue as is not being used. But I can't do the same for the other function, the other function is constantly in use.
I'm running a NodeJS app inside a docker container inside a container-optimized-OS GCE instance.
I need this instance to shutdown an self-delete upon its task completion. Only the NodeJS app is aware of the task completion.
I used to achieve this behavior by setting up this as a startup-script:
node ./dist/app.js
echo "node script execution finished. Deleting this instance"
export NAME=$(curl -X GET http://metadata.google.internal/computeMetadata/v1/instance/name -H 'Metadata-Flavor: Google')
export ZONE=$(curl -X GET http://metadata.google.internal/computeMetadata/v1/instance/zone -H 'Metadata-Flavor: Google')
gcloud compute instance-groups managed delete-instances my-group --instances=$NAME --zone=$ZONE
I've also used similar setups with additional logic based on the NodeJS app exit code.
How do I do it now?
There are two problems:
I don't know how to pass NodeJS exit event (preferably with exit code) up to the startup-script. How do I do that?
Container-optimized-OS GCE instance lacks gcloud. Is there different way of shutting down an instance?
Google Cloud's Healthcheck seems too troublesome and not universal. My app is not a web-server, I prefer not to install express or something else just for sake of handling health checks.
Right now my startup-script ends with docker run ... command. Maybe I should write the shutdown command after that and somehow make docker exit on NodeJS exit?
If you think the Healthcheck is the way to go, what would be the lightest setup for a health check given that my app is not a web-server?
Try to have your app trigger a Cloud Function when the app finishes the job
Cloud function can then have script to delete your VM. See sample script below
https://medium.com/google-cloud/start-stop-compute-engine-instance-from-cloud-function-bf9ae5199609
I have just joined a developpment team, and the project should run in the cloud using amplify. I have a function called usershandler that i want to run locally. For that, i used :
amplify invoke function usershandler
This is the output i get :
Starting execution...
EVENT: {"httpMethod":"GET","body":"{\"name\": \"Amplify\"}","path":"/users","resource":"/{proxy+}","queryStringParameters":{}}
App started
get All VSM called
Connection to database was a success
null
Result:
{"statusCode":200,"body":"{\"success\":true,\"results\":[]}","headers":{"x-powered-by":"Express","access-control-allow-origin":"*","access-control-allow-headers":"Origin, X-Requested-With, Content-Type, Accept","content-type":"application/json; charset=utf-8","content-length":"29","etag":"W/\"1d-4wD7ChrrlHssGyekznKfKxR7ImE\"","date":"Tue, 21 Jul 2020 12:32:36 GMT","connection":"close"},"isBase64Encoded":false}
Finished execution.
EDIT : Also, when running the invoke command, amplify asks me for a src/event.json while i've seen it looking for the index.js for some ??
EDIT 2 [SOLVED] : downgrading #aws-amplify/cli to 4.14.1 seems to solve this :)
Expected behavior : The server should continue running so i can use it ..
Actual behavior : It always stops after the finished execution message.
The connection to the db works fine, the config.json contains correct values. Don't know why it is acting like this. Have anybody had the same problem?
Have a nice day.
Short answer: You are running the invoke command which is doing just what it is supposed to be doing - invoking the lambda function.
If you are looking to get a local API up, then run the following command:
sam local start-api
This will read your template and based on the endpoints you have setup, run them locally essentially mocking API Gateway locally. Read more about it in the official docs here.
Explanation:
This command comes is one of offering of AWS Serverless Application Model (AWS SAM). A tool to develop serverless application. It is essentially an abstraction of AWS Cloufdformation. Similarly Amplify is an abstraction that makes it simple to not only develop and manage the backend but also brings that power to frontend.
As both of them essentially use Cloudformation templates underneeth, you can leverage the capabilities of one tool with another.
SAM provides a robust set of tools for local development invcluding running a local lambda mocking server, in case you are not using API Gateway.
I use this combination to develop and test my frontend along with backend which is in golang, a language which is not as mature as javascript as a backend language with Amplify as of now.
I recently starting working on serverless architecture. Here is example of serverless.xml for the same.
test:
name: test
handler: handler.lambda_handler
timeout: 6
environment:
APP_ID: ${ssm:/path/to/ssm/test~true}
Now when I am trying to run serverless offline command then it complains about ssm variable.
Following is the error that coming on console.
I want to run everything on my locally machine for development. Can someone help on this how I can solve this problem.
ServerlessError: Trying to populate non string value into a string for variable ${ssm:/path/to/ssm/test~true}. Please make sure the value of the property is a string.
at Variables.populateVariable (C:\Users\kumarn\AppData\Roaming\npm\node_modules\serverless\lib\classes\Variables.js:464:13)
at Variables.renderMatches (C:\Users\kumarn\AppData\Roaming\npm\node_modules\serverless\lib\classes\Variables.js:386:21)
at C:\Users\kumarn\AppData\Roaming\npm\node_modules\serverless\lib\classes\Variables.js:406:29
From previous event:
you can solve this by adding the plugin:
https://github.com/janders223/serverless-offline-ssm
if you're feeling more adventurous you can also use localstack https://github.com/localstack/localstack
note that free version does not support everything
When I try to deploy from the gcloud CLI I get the following error.
Copying files to Google Cloud Storage...
Synchronizing files to [gs://staging.logically-abstract-www-site.appspot.com/].
Updating module [default]...\Deleted [https://www.googleapis.com/compute/v1/projects/logically-abstract-www-site/zones/us-central1-f/instances/gae-builder-vm-20151030t150724].
Updating module [default]...failed.
ERROR: (gcloud.preview.app.deploy) Error Response: [4] Timed out creating VMs.
My app.yaml is:
runtime: nodejs
vm: true
api_version: 1
automatic_scaling:
min_num_instances: 2
max_num_instances: 20
cool_down_period_sec: 60
cpu_utilization:
target_utilization: 0.5
and I am logged in successfully and have the correct project ID. I see the new version created in the Cloud Console for App Engine, but the error is after that it seems.
In the stdout log I see both instances go up with the last console.log statement I put in the app after it starts listening on the port, but in the shutdown.log I see "app was unhealthy" and in syslog I see "WARNING: never got healthy response from app, but sending /_ah/start query anyway."
From my experience with nodejs using Google Cloud App Engine, I see that "Timed out creating VMs" is neither a traditional timeout nor does it have to do with creating VMs. I had found that other errors were reported during the launch of the server --which happens to be right after VMs are created. So, I recommend checking console output to see if it tells you anything.
To see the console output:
For a vm instance, then go to /your/ vm instances and click the vm instance you want, then scroll towards the bottom and click "Serial console output".
For stdout console logging, go monitoring /your/ logs then change the log type dropdown from Request to be stdout.
I had found differences in the process.env when running locally versus in the cloud. I hope you find your solution too --good luck!