Tag: Software architecture
How to refactor code that has no tests using the Golden Master technique
Posted on May 11, 2020, Level intermediate Resource Length short
The number one rule when refactoring is to always have tests in place before you start refactoring. Without tests, refactoring becomes a risky endeavor. Written by Mak.
10000 nodes and beyond with Akka Cluster and Rapid
Posted on May 7, 2020, Level advanced Resource Length long
At the foundation of clustered systems are so-called membership protocols. The job of a membership protocol is to keep clustered applications up-to-date with the list of nodes that are part of the cluster, allowing all the individual nodes to act as one system. By Manuel Bernhardt.
How to improve docker image size with layers
Posted on April 28, 2020, Level intermediate Resource Length medium
Today we're going to dive deeper into Docker's union file system (UFS) layers. Author will try to explain how layers work and then how to use them properly to reduce the size of your images. By Mac Rusek.
Exploring different mental models
Posted on April 17, 2020, Level beginner Resource Length long
A mental model reflects an individual's beliefs, values, and assumptions. As those are internal, we need to somehow express them in order to learn and improve. Causal Loop Diagram (CLD) is a powerful technique from Systems thinking. By Yi Lv
The 4 most common API developer portal mistakes
Posted on April 15, 2020, Level intermediate Resource Length long
How (not) to put your APIs in a freezer while implementing a Frankensite or an API Ghosttown. In this article we will investigate developer portal anti-patterns -- common solutions to developer portal problems where the solution is ineffective and may result in undesired consequences. By Diliny Corlosquet.
Aggregator Leaf Tailer: An alternative to lambda architecture for real-time analytics
Posted on April 7, 2020, Level intermediate Resource Length long
Aggregator Leaf Tailer (ALT) is the data architecture favored by web-scale companies, like Facebook, LinkedIn, and Google, for its efficiency and scalability. In this blog post, I will describe the Aggregator Leaf Tailer architecture and its advantages for low-latency data processing and analytics. By Dhruba Borthakur.
Attack matrix for Kubernetes
Posted on April 2, 2020, Level intermediate Resource Length medium
Security research software engineer Yossi Weizman put together this guide for considering new security challenges when moving workloads to Kubernetes.
GitOps using Helm3 and Flux for Node.js and Express.js Microservice
Posted on April 1, 2020, Level intermediate Resource Length long
In this tutorial author will show you how to build a GitOps pipeline for a Node.js application built with Express.js. The application was created in an earlier tutorial. Rather than deploying new versions manually, flux will deploy it to Kubernetes whenever a build of the Docker image is available. By Alex Ellis.
Kubernetes Canary deployment with Gitlab CI
Posted on March 31, 2020, Level intermediate Resource Length long
We're using GitlabCI and a manual GitOps approach to implement and perform Canary Kubernetes deployments. They use a manual approach and alter/create core-Kubernetes resources to perform a Canary deployment. This is mainly for understanding how a Canary deployment works. By Kim Wuestkamp.
Graphql vs REST: Which one is better? (2020)
Posted on March 30, 2020, Level beginner Resource Length long
When you need to build an API, your mind will likely jump to REST, the de facto standard for API creation. However, this is changing with the increase of GraphQL popularity. This post was originally posted in May 2019 and updated in March 2020. Published by João Inez on imaginarycloud.com.
Get started quickly with kubernetes logging
Posted on March 14, 2020, Level intermediate Resource Length medium
An article about how to get started with logging in Kubernetes. This topic is quite extensive as there are many components to consider before having a complete perspective of what's happening inside your applications. By Erin Baez.
Announcing TensorFlow Quantum: An open source library for quantum machine learning
Posted on March 10, 2020, Level beginner Resource Length medium
Machine learning (ML), while it doesn't exactly simulate systems in nature, has the ability to learn a model of a system and predict the system's behavior. Over the past few years, classical ML models have shown promise in tackling challenging scientific issues, leading to advancements in image processing for cancer detection, forecasting earthquake aftershocks, predicting extreme weather patterns, and detecting new exoplanets. Posted by Alan Ho, Product Lead and Masoud Mohseni, Technical Lead, Google Research.