Creating a Kubernetes Cluster from scratch seemed like a daunting task to me. With the lightweight Kubernetes distribution [K3S](https://k3s.io/) it becomes a one line bash script per Node!
#Serverless functions are resource effective: Deploy and pay for consumed resources only. With #openfaas, write functions in #NodeJS, #Python, #Go and many more. Read how to redesign a microservice as a #serverless function
The #openfaas framework allows you to write serverless functions #nodejs, #python, #go, #java and other languages. It provides you with templates that are effectively Docker containers. I wanted to understand what those Docker container do and how the execution environment for functions in any of those languages is provided for you. Read more about this in my new blog post.
Are you using #kubernetes in production but #docker or #docker-compose for local testing or staging? If you do, you need to manage aspects like container communication, resource limitations and configuration with config maps or secrets differently. I had the same challenge, and switched to using pure #kubernetes. More about this redesign in my newest blog post.
Docker images need to be build for the architecture on which they run, like amd64 or arm. The challenges: Different base images, and executing builds on different machines. This is unnecessary complexity. With the Docker `buildx` command, you can build images that run on multiple machines. You do not need to change any configuration of your build pipeline! Read more at my latest blog post:
Monolithic applications can be beneficial in very complex environments. Yet, especially when thinking about scaling, isolating each distinct part of an application into dedicated microservices is beneficial. In my new articles, I explain the reason and approach to redesign a monolithic #nodejs application into three distinct #docker containers running on #kubernetes.
When you develop a prototype, functionality and features need to be delivered in time. You push feature after feature, relying mostly on manual tests and maybe, occasionally using automatic test as well. It’s not that you don’t want to test. Its more that time constraints make developing a stable code base and a stable test suite more tedious then beneficial. How to cope with this challenge?
With my Lighthouse-as-a-Service website scanner you can quickly check a webpage about its performance, SEO and best practices. Learn how I deployed the scanner with the lightweight Kubernetes distribution K3S
You have heard about #arduino, right? Small hardware boards on which you upload programs for a wide variety of functions. The NanoESP board is programmed with C++ and features wifi access. You can run a #webserver on it. Read about setup and first steps.
In a cloud environment, microservices need to be stateless so that containers can de scaled or restarted at any moment. What is a good solution? Read about how to build stateless microservices in NodeJS using the ultrafast #Redis in-memory database