Python/DevOps

Ahh, yes!  You have reached your pull rate limit. You may increase the limit by authenticating and upgrading: https://www.docker.com/increase-rate-limit I bet you had encountered this problem if you read now this post. According to this document : Beginning November 2, 2020, progressive enforcement of rate limits for anonymous and authenticated Docker Hub usage goes into effect. This means that anonymous and free Docker Hub users will have usage restrictions gradually placed on container image pull requests. Sadly, this happened on our clusters (AWS EKS). How to fix it? I wanted to spawn DaemonSet object where I could run docker login command and this way change config.json  on every node. But, after that you need to restart docker  process on every node, and I still do not know how to do that on AWS EKS. So, a temporary fix was to create a Secret object and then link it to every ServiceAccount  object. It is "a hack", but we needed very fast working solution. We are not g

pytest-dbfixtures If you use pytest maybe you have heard about pytest-dbfixtures : Pytest dbfixtures is a pytest plugin that makes it a lot easier to set up proper database or storage engine for testing. Simply use one of provided fixtures that start predefined clean database server for your tests or creates server more tailored for your application by using one of provided factories. This plugin is very useful if you have integration tests in your project, and you want to perform tests on a database for example. You will find information how to use it in the documentation . Currently, the plugin supports: Postgresql MySQL Redis Mongo Elasticsearch RabbitMQ And recently, we have added support for DynamoDB . Here , you will find how to run DynamoDB on your computer. And, here we are. If you want to use it in production, you want to test it locally. dynamodb fixture If you still do not use pytest, go to the pytest page and read how to use it, now. If you want to

What is the AWS Lambda? AWS Lambda lets you run code without provisioning or managing servers. You pay only for the compute time you consume - there is no charge when your code is not running. So, you can build a scalable application without managing servers. Something like a microservice without servers. Serverless! Hence, your function must be written in a stateless style. If you want to store something somewhere, you can connect to S3, Redshift, DynamoDB, etc. AWS Lambda will start to execute your code within milliseconds. I am not going to write a tutorial step by step. You will find here only a handful necessary information. Limits Let's look at the limits (all limits are default, you can ask guys from AWS to increase them). You have access to an ephemeral disk with limit 512 MB (access to /tmp only). Your function must be finished within 300 seconds (it is a default max value; if you want you can set 10 seconds also); if not AWS Lambda will terminate it. Zip