Software, Cloud & DevOps

Hi! My name is Kim Lehtinen, and I’m a Software Engineer. I’m currently on a journey of specialising in backend development, and learning Cloud Native technologies. These technologies are truly powerful and changing the computing world. Here you can follow along on my journey where I write about things I’ve learned lately.

Flask database migrations using Flask-Migrate

Flask
Alembic Flask Python SQLAlchemy
Flask-Migrate is a python package that configures SQLAlchemy and Alembic for your Flask application. Alembic is the migration tool that actually takes care of database migrations under the hood. It can automatically generate migration files based on database schema models, and apply those migrations to databases. This is truly powerful, since it enables you to have a single source of truth and a history of your database changes in source control.

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Python Flask Dependency Injection

Flask
Python Flask
One the best features of Flask is that it’s a “microframework”, meaning it’s easy to get started and to extend as the project grows. However, sometimes projects grow so large that it becomes hard to maintain all the dependencies and coupling between components. This is where dependency injection can help, by decoupling components and dependencies. This will make the code more reusable and easier to test through mocking the interfaces that a component uses.

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Local Kubernetes cluster using kubeadm and Weave Ignite

Kubernetes
Kubernetes Kubeadm Ignite
As someone who is just learning Kubernetes, I want a local cluster where I can learn the basics of Kubernetes by testing and breaking things! I have lately been testing different tools for creating local kubernets clusters, and there are many good tools for doing so. However, many of them only spin up a single node cluster, I wanted multiple nodes. In addition, many tools make it difficult to control the amount of ram and cpu in each node.

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