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version pip 21.2.4 python 3.6 The command: pip install -r requirements.txt The content of my requirements.txt : mongoengine==0.19.1 numpy==1.16.2 pylint pandas==1.1.5 fawkes The command is failing with this error ERROR: Command errored out with exit status 1: command: /Users/*/Desktop/ml/*/venv/bin/python -c 'import io, os, sys, setuptools, tokenize; sys.arg
Whenever I am trying to run the docker images, it is exiting in immediately. CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES ae327a2bdba3 k8s-for-beginners:v0.0.1 "/k8s-for-beginners" 11 seconds ago Exited (1) 10 seconds ago focused_booth As per Container Logs standard_init_linux.go:228: exec user process caused: no such file or directory I have create
I have a service listening on 'https://myapp.a.run.app/dosomething', but I want to leverage the scalability features of Cloud Run, so in the controller for 'dosomething', I send off 10 requests to 'https://myapp.a.run.app/smalltask'; with my app configured to allow servicing of only one request per instance, I expect 10 instances to spin up, all do their sma
The same project needs to behave consistently on developer machines, in CI and after deployment. Which versions, dependencies and configuration should be recorded?
I'd like to use IMDSv2 inside a container running on an EC2 instance. I want to use the tokens because they are required in my metadata options: metadata_options { http_tokens = "required" http_endpoint = "enabled" } Calling the API from the EC2 instance returns my token as expected. curl -s -X PUT "http://169.254.169.254/latest/api/token" -H "X-aws-ec2-meta
I am trying to learn Docker and created my first Docker compose file. Basically, I am trying to create a Django web microservice and use docker compose file to manage it. Here is my code for my docker-compose.yml : version: "3" services: app: build: context: . ports: - "8000:8000" volumes: - ./app:/app command: > sh -c "py manage.py runserver 0.0.0.0:8000
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?
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?
python
docker
kubernetes
pandas
react
elasticsearch
windows11