How can I improve OpenTelemetry performance without guessing?
A performance change should improve the measured workload without sacrificing correctness or wasting capacity. Which measurements and bottlenecks should be considered first?
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opentelemetrySecret manager access denied despite correct roles for service account
I'm writing a cloud function in Nodejs (10), and trying to access a secret like so: const [secret] = await new SecretManagerServiceClient().accessSecretVersion({ name: `projects/PROJECT_NUMBER/secrets/SECRET_NAME/versions/latest` }) I created the secret in the web console and the name used in code matches that of the existing secret. On the page for the clou
How Terraform rotate Azure AD app secrets
I'm trying to do the azure service principle password rotation using Terraform, with the latest versions of azuread they have provided this rotation feature, resource "time_rotating" "test" { rotation_years = 5 lifecycle { create_before_destroy = true } } resource "azuread_service_principal_password" "service_principal_password" { service_principal_id = var.
terraform
azureWhat's the use case for RoleSessionName when assuming a role in AWS and how it affects the performance
I have a scenario in which I want to have access to resources within one account from another one in AWS (cross-account access) in code. And I want to implement this access using NodeJs, implemented as lambda function and also as a long-running code on EC2. Reading how to do this online, I know I need temporary credentials generated by aws.STS , like this: c
Expose Both Ports 8080 and 3000 For Cloud Run Deployment
TL:DR - I am trying to deploy my MERN stack application to GCP's Cloud Run. Struggling with what I believe is a port issue. My React application is in a client folder inside of my Node.js application. Here is my one Dockerfile to run both the front-end and back-end: FROM node:13.12.0-alpine WORKDIR /app COPY . ./ # Installing components for be connector RUN
dockerAWS Fargate ResourceInitializationError: unable to pull secrets or registry auth: pull command failed: : signal: killed
Slightly tearing my hair out with this one... I am trying to run a Docker image on Fargate in a VPC in a Public subnet. When I run this as a Task I get: ResourceInitializationError: unable to pull secrets or registry auth: pull command failed: : signal: killed If I run the Task in a Private subnet, through a NAT, it works. It also works if I run it in a Publ
What is the difference between patches vs patchesJson6902 in Kustomize
Based on the docs that I've read, there are 3 methods of patching: patches patchesStrategicMerge patchesJson6902. The difference between patchesStrategicMerge and patchesJson6902 is obvious. patchesStrategicMerge requires a duplicate structure of the kubernetes resource to identify the base resource that is being patched followed by the modified portion of t
kubernetesCould not load dynamic library 'cudart64_101.dll' on tensorflow CPU-only installation
I just installed the latest version of Tensorflow via pip install tensorflow and whenever I run a program, I get the log message: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'cudart64_101.dll'; dlerror: cudart64_101.dll not found Is this bad? How do I fix the error?
keras
pythonHow should I handle configuration and secrets in pandas?
Configuration must be available to the application without exposing credentials in source control, logs or browser code. What belongs in the runtime and which access controls matter?
pandas