What should I check first when Git fails?
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?
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CI/CD, Terraform, Kubernetes, containers and observability.
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 made a simple image of my python Django app in Docker, using this Dockerfile: FROM python:3.8-slim-buster WORKDIR /app COPY requirements.txt requirements.txt RUN pip install -r requirements.txt COPY . . CMD ["python", "manage.py", "runserver", "0.0.0.0:8000"] And building it using: sudo docker build -t my_app:1 . But after building the container (on Ubuntu
Compare suitability, operational responsibilities and limits before choosing this technology for a project. Which trade-offs should guide the decision?
I started using Lens and noticed that it gives you some warnings when the pods inside the nodes have limits higher than the actual capacity. So I tried to get this information with kubectl but I'm new to jsonpath and I just managed to get the raw info using something like this: kubectl get pods -o=jsonpath='{.items..resources.limits}' -A That produces someth
I am running a lot of builds using Docker in MacOS. Eventually, a lot of build cache is accumulating, e.g. this is what I see in docker system df : YPE TOTAL ACTIVE SIZE RECLAIMABLE Images 22 0 9.67GB 9.67GB (100%) Containers 0 0 0B 0B Local Volumes 0 0 0B 0B Build Cache 1006 0 258GB 258GB Is there a way to clean items from the build cache? I can see detaile
Compare suitability, operational responsibilities and limits before choosing this technology for a project. Which trade-offs should guide the decision?
Compare suitability, operational responsibilities and limits before choosing this technology for a project. Which trade-offs should guide the decision?
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?