ReadMeFeed / Community knowledge
Real questions. Useful conversations. Find the people who know your stack.
I'm new to Terraform world. I'm trying to run a shell script using Terraform. Below is the main.tf file #Executing shell script via Null Resource resource "null_resource" "install_istio" { provisioner "local-exec" { command = <<EOT "chmod +x install-istio.sh" "./install-istio.sh" EOT interpreter = ["/bin/bash", "-c"] working_dir = "${path.module}" } }
In Windows-11, there are two context menus in Windows explorer (go to a file and right-click): When you click "Show more options", only then you see: You might see the menu option "Scan with Microsoft Defender" in the second one (I just can't believe this option is not accessible by default). As I find actively checking for threats very important, I'd like t
I would like to allow users to impersonate a service account to do operations on a long running process. However, all the code examples illustrate a service account impersonating another service account. Can users directly impersonate a service account? If so, how? I'm following this example code . Initialize a source credential which does not have access to
Compare suitability, operational responsibilities and limits before choosing this technology for a project. Which trade-offs should guide the decision?
A failure needs to be narrowed down before settings are changed or operations retried. Which evidence best separates application errors from environment and dependency problems?
I have a simple API function as below, from fastapi import FastAPI app = FastAPI() @app.get("/") async def read_root(): return {"Hello": "World"} I am starting the server using uvicorn command as, uvicorn main:app Since we are not calling any python file directly , it is not possible to call uvicorn command from Pycharm. So, How can I run the fast-api server
I am fairly new in Azure and Terraform, and am trying to create a secret client for Azure Service Principal using Terraform. I am unable to figure this out. This is what I have right now: provider "azuread" { version = "=0.7.0" client_id = var.aws_client_id subscription_id = var.aws_subscription_id tenant_id = var.aws_tenant_id client_secret = var.aws_client
I am writing a postgreSQL database. The ID must be auto-incrementing. model User { id String @id @default(cuid()) name String? email String? @unique emailVerified DateTime? @map("email_verified") image String? createdAt DateTime @default(now()) @map(name: "created_at") updatedAt DateTime @updatedAt @map(name: "updated_at") posts Post[] accounts Account[] ses
I'm in the process of developing a chatbot application and I'm exploring options for integrating Gemini, a large language model (LLM). I'm considering whether to utilize Vertex AI (@google-cloud/vertexai) for integration or to directly incorporate Gemini (@google/generative-ai) google-cloud/vertexai: https://cloud.google.com/vertex-ai/docs/generative-ai/star
terraform
ansible
grafana
python
fastapi
pycharm
azure
prisma
postgresql