is there a way to configure stacks without having to check them into git? for example if I name my aws profile dev but everyone else on my team names it development how do i keep my configs?

Hi. Do cross project references (using StackReference) just allow access to resources in other projects or do they also provide a level of resource dependency awareness i.e. is Pulumi aware of a relationship between projects? For example if I have a simple 2 project setup where 1. Project1 creates a cloud container (e.g. an Azure Resource Group) and outputs its ID 2. Project2 reads in the container ID outputted by Project1 and creates a resource inside it Does Pulumi know about the dependency and refuse to run a "pulumi destroy" against Project1 resources while Project2 is depending on them? In my tests this wasn't the case and I could destroy Project1, breaking Project2 by removing resources it depended on. Is there any way to achieve this dependency for separate projects?

hey, guys did you think to rework the config part, it's really confusing how it works tbh.

What is the url parameter for in

pulumi new

that replaces the template parameter?

Hello, I have some questions on the pulumi 2 migration I didn’t see covered in the migration guide. Is the pulumi v2 cli compatible with running pulumi v1 projects? Can I upgrade the cli and deploy old projects as usual? How would I rewrite the following code to avoid requireOutputSync? I’ve tried casting to

pulumi.Output<string>[]

but this just produces weird type error I’m unable to resolve without casting to

unknown

.

const vpcId = stackRef.requireOutput('vpcId');
const vpcPrivateSubnetIds = <string[]>stackRef.requireOutputSync('vpcPrivateSubnetIds');
const vpcPublicSubnetIds = <string[]>stackRef.requireOutputSync('vpcPublicSubnetIds');
const vpc = awsx.ec2.Vpc.fromExistingIds('vpc', {
  privateSubnetIds: vpcPrivateSubnetIds,
  publicSubnetIds: vpcPublicSubnetIds,
  vpcId,
});

pulumi thinks i'm in non-interactive mode all the time now after upgrading to 2.0

Why would a Kubernetes resource not have a "unique name" if it's the only resource of its kind with that name deployed? I am seeing this error:

kubernetes:<http://networking.k8s.io:NetworkPolicy|networking.k8s.io:NetworkPolicy> prometheus-monitoring  error: Duplicate resource URN 'urn:pulumi:review-payment-manager-fix-prometheus::payment-manager::kubernetes:<http://networking.k8s.io/v1:NetworkPolicy::prometheus-monitoring';|networking.k8s.io/v1:NetworkPolicy::prometheus-monitoring';> try giving it a unique name

There is only one

new k8s.networking.v1.NetworkPolicy('prometheus-monitoring')

call and resource as far as I can tell

oh

I was going to guess that it was a misbehaving helm chart. 🙂

task_definition = ecs.TaskDefinition(
            name,
            family=name,
            cpu="256",
            memory="512",
            network_mode="awsvpc",
            requires_compatibilities=["FARGATE"],
            execution_role_arn=role.arn,
            container_definitions=json.dumps(
                [
                    {
                        "name": "my-app",
                        "image": image,
                        "portMappings": [{"containerPort": port, "protocol": "tcp"}],
                    }
                ]
            ),
            opts=child_opts,
        )

Is there something I need to do to get the two stacks to work together? I don't have this problem with my other networking project stack, which uses python.

👋 New to Pulumi and so far so good. Something that's tripping me up is that I can't seem to get 2 stacks to work together that have a different runtime. I have a typescript stack that's outputting an image:

(venv) ~/***/pulumi/projects/images/config $ pulumi stack output image
***.<http://dkr.ecr.us-east-1.amazonaws.com/jdrake/***-59fb83d:602e111c06b6934013578ad80554a074049c59441d9bcd963cb4a7feccede7a5|dkr.ecr.us-east-1.amazonaws.com/jdrake/***-59fb83d:602e111c06b6934013578ad80554a074049c59441d9bcd963cb4a7feccede7a5>

and then a python stack that's trying to import it then pass it to a Component:

env = pulumi.get_stack()
image_stack = pulumi.StackReference(f"jdrake/***-image-config/{env}")
image = image_stack.get_output("image")
service = Service("***", env, image, port=80)

However, running

pulumi up

gives me:

error: Program failed with an unhandled exception:
    error: Traceback (most recent call last):
      File "/usr/local/bin/pulumi-language-python-exec", line 85, in <module>
        loop.run_until_complete(coro)
      File "/Users/jdrake/.pyenv/versions/3.6.8/lib/python3.6/asyncio/base_events.py", line 484, in run_until_complete
        return future.result()
      File "/Users/jdrake/.pyenv/versions/3.6.8/lib/python3.6/asyncio/tasks.py", line 180, in _step
        result = coro.send(None)
      File "/Users/jdrake/.pyenv/versions/3.6.8/lib/python3.6/site-packages/pulumi/runtime/stack.py", line 81, in run_in_stack
        await run_pulumi_func(lambda: Stack(func))
      File "/Users/jdrake/.pyenv/versions/3.6.8/lib/python3.6/site-packages/pulumi/runtime/stack.py", line 34, in run_pulumi_func
        func()
      File "/Users/jdrake/.pyenv/versions/3.6.8/lib/python3.6/site-packages/pulumi/runtime/stack.py", line 81, in <lambda>
        await run_pulumi_func(lambda: Stack(func))
      File "/Users/jdrake/.pyenv/versions/3.6.8/lib/python3.6/site-packages/pulumi/runtime/stack.py", line 104, in __init__
        func()
      File "/usr/local/bin/pulumi-language-python-exec", line 84, in <lambda>
        coro = pulumi.runtime.run_in_stack(lambda: runpy.run_path(args.PROGRAM, run_name='__main__'))
      File "/Users/jdrake/.pyenv/versions/3.6.8/lib/python3.6/runpy.py", line 280, in run_path
        run_name, mod_spec, pkg_name).copy()
      File "/Users/jdrake/.pyenv/versions/3.6.8/lib/python3.6/runpy.py", line 85, in _run_code
        exec(code, run_globals)
      File "./__main__.py", line 8, in <module>
        service = Service("***", env, image, port=80)
      File "/Users/jdrake/talos/pulumi/components/service/src/ns_pulumi_component_service/component.py", line 86, in __init__
        "portMappings": [{"containerPort": port, "protocol": "tcp"}],
      File "/Users/jdrake/.pyenv/versions/3.6.8/lib/python3.6/json/__init__.py", line 231, in dumps
        return _default_encoder.encode(obj)
      File "/Users/jdrake/.pyenv/versions/3.6.8/lib/python3.6/json/encoder.py", line 199, in encode
        chunks = self.iterencode(o, _one_shot=True)
      File "/Users/jdrake/.pyenv/versions/3.6.8/lib/python3.6/json/encoder.py", line 257, in iterencode
        return _iterencode(o, 0)
      File "/Users/jdrake/.pyenv/versions/3.6.8/lib/python3.6/json/encoder.py", line 180, in default
        o.__class__.__name__)
    TypeError: Object of type 'Output' is not JSON serializable
    error: an unhandled error occurred: Program exited with non-zero exit code: 1

This is failing when I try to use that image value in a task definition:

That

Object of type 'Output' is not JSON serializable

suggests to me you need an 'apply' somewhere https://www.pulumi.com/docs/intro/concepts/programming-model/#outputs

Oh, wow. Nice work!

I need to populate integration request/response templates in api gateway and I keep them in separate folder as vtl files is there a way to read content of file asset as string? or should I opt for fs operations to read them?

is anybody aware of a azure devops provider to help automate azure devops, ie create project, repos and pipelines?

Is the nodeJs helmv2 package supports as well as the helmv3 ?

has anyone tried applying the tagging procedure found here: https://www.pulumi.com/blog/automatically-enforcing-aws-resource-tagging-policies/ to other providers, like azure? I tried expanding the auto-tagging to also include some azure resources (im deploying a dual-cloud solution), but it would throw exceptions, saying that it could not cast the new tagging object to the resource tagging property. This works for aws resources though, and the type of the "Tags" property is the same for both the azure resource (i was trying an azure batch account) and aws resources, so im wondering why it happens 🙂

Hello. I was able to successfully install https://github.com/containous/traefik-helm-chart/tree/master/traefik chart using

pulumi-kubernetes

and

python

SDK. However, CRDs were not installed. When I do

helm install

manually, all CRDs are created. There is a warning in the chart description https://github.com/containous/traefik-helm-chart/tree/master/traefik#warning for Helm 2 that states that you will have to install all CRDs manually, however for helm 3 it is not required. I obviously use helm 3, and as far as I understood, pulumi just calls helm via cli. Can someone please help me with this?

Are there any plans to have pulumi automatically remove old comments on GitHub? It’s a bit of a pain when changing a large amount of stacks, and then pushing a change. There can sometimes be close to 100 comments from pulumi.

hi all. is it possible to run a pulumi command and impersonate a service account in GCP?

(using IAM, not json file)

getting errors while running unit tests,

internal/modules/cjs/loader.js:796 throw err; ^ Error: Cannot find module 'C:\my-network\node' at Function.Module._resolveFilename (internal/modules/cjs/loader.js:793:17) at Function.Module._load (internal/modules/cjs/loader.js:686:27) at Function.Module.runMain (internal/modules/cjs/loader.js:1043:10) at internal/main/run_main_module.js:17:11 { code: 'MODULE_NOT_FOUND', requireStack: [] }

any changes recently that might be causing this error, using pulumi 1.12.1 with Node version v12.14.1 ?

What is the cleanest way to rename a running stack so the next pulumi up does not confuse pulumi?

Hi, Is there a way to import yaml to kubernetes with golang sdk? like doing this in typescript/javascript:

import * as k8s as "@pulumi/kubernetes";

const myApp = new k8s.yaml.ConfigFile("app", {
    file: "app.yaml"
});

I always have this basic questions. What is the 4th cloud providers? I know in AWS, it is EKS but I don't understand the 4th one.

Kubernetes?

Get Started with Kubernetes

Pulumi’s Cloud Native SDK makes it easy to target any Kubernetes environment to provision a cluster, configure and deploy applications, and update them as required.

basically IaC for k8s cluster and application/deployment config