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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A performance change should improve the measured workload without sacrificing correctness or wasting capacity. Which measurements and bottlenecks should be considered first?
When writing pytest integration tests that require external service credentials, the goal is to keep those secrets out of the repository while providing the test code with the values it needs. Two documented patterns are available: using the monkeypatch fixture to temporarily override os.environ (or attributes on a configuration object) for each test, and lo
Qwik utilizes a build-time Optimizer to split components into fine-grained, lazy-loadable chunks. While local development environments typically serve assets from the root, production environments often deploy to specific subdirectories or CDNs. When the base path configuration in the build settings is misaligned with the actual deployment directory, the Qwi
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.
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
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
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
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
Timezone Consistency Between Main and Renderer Processes Developers building Electron applications often need to format dates and times according to the user's regional settings in both the main and renderer processes. The goal is to obtain identical timezone information from Intl.DateTimeFormat in each process so that displayed timestamps remain consistent
opentelemetry
pytest
qwik
terraform
azure
docker
electron