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Developer tools · #docker
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've been successfully using TestContainers with Docker for quite a while now. All of a sudden today, I started getting this error: UnixSocketClientProviderStrategy: failed with exception BadRequestException (Status 400: {"message":"client version 1.32 is too old. Minimum supported API version is 1.44, please upgrade your client to a newer version"} What cou
I am building a django-react site and suddenly my docker-compose no longer builds despite any changes to requirements or image versions. My requirements.txt looks as follows: Django>=3.2.4,<4.0 djangorestframework>=3.12.4,<3.14.0 djangorestframework-simplejwt>=4.8.0,<5.3.0 psycopg2>=2.8.6,<2.9 drf-spectacular>=0.15.1,<0.30 djang
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