After giving all the rights to invoke function. My Lambda function is not able to invoke another function . Every time I am getting timeout having 30 seconds timeout
issue. It looks like lambda is not able to get another lambda function
My lambdas are in same region, same policy, same security group .. Also VPC are same in both lambdas. The only thing is different now is lambda functions
Here are the role rights
1) created AWSLambdaExecute
and AWSLambdaBasicExecutionRole
2) Created one lambda function which is to be called Lambda_TEST
exports.handler = function(event, context) { console.log('Lambda TEST Received event:', JSON.stringify(event, null, 2)); context.succeed(event); };
3) Here is a another function from where it is called .
var AWS = require('aws-sdk'); AWS.config.region = 'us-east-1'; var lambda = new AWS.Lambda(); exports.handler = function(event, context) { var params = { FunctionName: 'Lambda_TEST', // the lambda function we are going to invoke InvocationType: 'RequestResponse', LogType: 'Tail', Payload: '{ "name" : "Arpit" }' }; lambda.invoke(params, function(err, data) { if (err) { context.fail(err); } else { context.succeed('Lambda_TEST said '+ data.Payload); } }) };
Reference taken from : This link
Async lambda invocation is the simplest and straightforward way to go about this problem. Async invocation means that the lambda that invokes the other lambda does not wait for the second lambda to finish and immediately returns.
Functions enable encapsulation and code re-use. Most programming languages support the concept of code synchronously calling functions within a code base.
I will denote by executor the lambda
that executes the second lambda
.
Since the executor is "locked" behind a VPC
- all internet communications are blocked.
That results in any http(s)
calls to be timed out as they request packet never gets to the destination.
That is why all actions done by aws-sdk
result in a timeout.
If the executor does not have to be in a VPC
- just put it out of it, a lambda
can work as well without a VPC
.
Locating the lambda
in a VPC
is required when the lambda
calls resources inside the VPC
.
From the above said, it follows that any resource located inside a VPC
cannot access the internet - that is not correct - just few configurations need to be made.
VPC
.VPC
to the internet.elastic IP
for it (this IP is local to your VPC
) - this component will pipe communications to the internet-gateway
.Create 2 Routing Tables - one named public and the second private.
Destination: 0.0.0.0/0
Target: the ID of the
internet-gateway
Destination: 0.0.0.0/0
Target: the ID of the
nat-gateway
A private subnet is a subnet that in its routing table - there is no route to an internet-gateway
.
A public subnet is a subnet that in its routing table - there exists a route to an internet-gateway
We created something like this:
This, what allows resources in private subnets to call out the internet. You can find more documentation here.
I've experienced this same problem where Lambdas that are "pinned" to a VPC are not able to invoke other Lambdas. I've been dealing with this issue, without using NAT, by refactoring the structure of my solution.
Let's say I have several lambdas, A, B, C, D,... and I would like these Lambdas to each have query access to an RDS database. In order to have this DB access, I need to put the lambdas in same VPC as database. But I'd also like various lambdas among A, B, C, D,... to invoke one another. So I run into the problem that Arpit describes.
I've been dealing with this issue by splitting each Lambda into two Lambdas: one that focuses on the process flow (i.e. invoking other lambdas and being invoked by another lambda); and the other focusing on doing "real" work, like querying the database. So I now have functions A_flow, B_flow, C_flow, D_flow, ...; and functions A_worker, B_worker, C_worker, D_worker, ... The various flow lambdas are not "pinned" to a specific VPC, and can thus invoke other lambdas. The various worker Lambdas are in the same VPC as database, and can query the DB.
Each flow lambda "delegates" the work of interacting with DB to the corresponding worker lambda. It does this delegation by performing a synchronous invocation of the worker lambda. The worker lambdas do not invoke any other lambdas. (In terms of process flow graph, the worker lambdas are terminal nodes.) In my own system, the invocations of flow Lambdas by other flow lambdas have generally been asynchronous; but I suppose they could be synchronous if desired.
Even though I devised this approach as a workaround, it has a nice feature of cleanly separating the high-level function design into (a) process flow and (b) performing more detailed work, including interaction with DB resources.
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