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DevOps & observability · #terraform
An upgrade needs a compatibility check, a tested release and a recovery path. Which changes deserve particular attention before the new version reaches production?
Recovery needs to recreate the working service and its required data after a machine or process is lost. Which artifacts and state need protection, and how should the restore be checked?
A performance change should improve the measured workload without sacrificing correctness or wasting capacity. Which measurements and bottlenecks should be considered first?
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?
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?
The same project needs to behave consistently on developer machines, in CI and after deployment. Which versions, dependencies and configuration should be recorded?
Compare suitability, operational responsibilities and limits before choosing this technology for a project. Which trade-offs should guide the decision?
I use Terraform to manage resources of Google Cloud Functions. But while the inital deployment of the cloud function worked, further deploments with changed cloud function source code (the source archive sourcecode.zip ) were not redeployed when I use terraform apply after updating the source archive. The storage bucket object gets updated but this does not
I am trying to create a Linux VM, with Terraform, in the West Europe Azure region, with a Ubuntu Server 20.04 LTS image. I can do this just fine from within the Azure Portal, but Terraform complains that the image doesn't exist: The platform image 'Canonical:UbuntuServer:20.04-LTS:latest' is not available. Indeed, az vm image list --location westeurope confi
