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I recently needed to group, aggregate and filter some form data from our yearly tech radar (2021 installment, Swedish). Instead of coping with an ever-increasing amount of frustration with Google Sheets, I decided to massage the data using Go 1.18 and the lodash-inspired lo library.
En rapport från Kafka Summit i London som avslutades i går. Äntligen gick det att träffas på riktigt efter alla online-konferenser och vi var över 1000 deltagare som samlats på hotellet i Greenwich. Pandemin verkar man nu definitivt lämnat bakom sig i England och förutom några få som bar munskydd var allt som vanligt igen.
Anders Forssell ställer några frågor till Henrik Starefors som nyss tagit en Kubernetes-certifiering.
In the last part, we implemented the Shared Database with Discriminator Column pattern using Row Level Security. The Shared Database with Discriminator pattern scales very well, but eventually the Shared Database will become a bottleneck. In this part, we’ll tweak the Database per Tenant pattern into Database per Group of Tenants (or Shard). Combined with the Shared Database with Discriminator pattern, we can reach yet another level of scalability.
In a previous blog post, I described an implementation of lists in SwiftUI where items are loaded dynamically as the the user scrolls and additional data for each item is fetched asynchronously. I also wanted to provide a reusable infrastructure for lists where you could concentrate only on the data fetching logic and the presentation of a single list item, but didn’t quite reach that goal.
In this blog post, I try to improve the list infrastructure and the separation of concerns between the data model and UI. I also want to test the Swift Concurrency features (async/await etc) for the asynchronous parts, and see how well it plays with SwiftUI.
Back in 2020 I spent an unhealthy amount of time implementing The ray tracer challenge book in Go, which I also blogged about. After finishing the book, I re-purposed the codebase into a simplistic Path Tracer. While the results were rather nice compared to the quite artificial ray traced images, basic unidirectional path tracing is really inefficient, taking up to several hours for a high-res image.
This “just for fun” blog series is about how I used OpenCL with Go to dramatically speed up my path tracer. Part 1 deals with the basics of path tracing while latter installments will dive deeper into the Go and OpenCL implementation.
This is a prelude to an upcoming blog post about Path Tracing with Go and OpenCL, which can be seen as a spiritual sequel to my 2020 ramblings on go ray-tracer optimization.
If you want some tidbits on Golang, OpenCL and CGO on Windows 10 - read on!
This is the fourth part of a blog-series about using CDK and AWS services to build and deploy solutions related to personal energy usage and electric vehicle charging. This part deals with using data from chargefinder.com’s APIs and InfluxDB Cloud in order to be able to forecast DC fast-charger availability at certain charging sites and time of day on common travelling dates.
This is the first of three blog posts where I will explain what you can learn from each chapter in the second edition of my book Microservices with Spring Boot and Spring Cloud. This blog post will go through the first part that focuses on using Spring Boot and other Spring projects to build microservices.
This is the third part of a short blog-series about using CDK and AWS services to build and deploy a personal solution for monitoring electricity usage. This part is just a little follow-up on how the solution is doing, some improvements and most importantly - the costs I’ve been billed since the solution’s inception back in april.
The 2nd edition contains many updates using the latest versions of the tools and frameworks covered by the book. It also includes two major additions: support for Windows using WSL 2 and compiling Java-based microservices to native images using Spring Native and GraalVM. In this blog post, I will go through the most significant changes and news.
This is part four of my blog series on reactive programming, which will give an introduction to R2DBC and describe how we can use Spring Data R2DBC to create a fully reactive application.
Carrying on from part 1 it’s time to look at the role of the Consumer in application integration with Kafka. Watching a group of Consumers chew their way through a backlog of messages is extremely satisfying but there is peace of mind knowing that they are doing what they are supposed to.
There is no denying the growing popularity of Kafka as a platform. It is probably safe to say that Kafka is now the de facto solution for asynchronous integration using a pub/sub pattern. Given the profusion of Kafka providers and solutions it has never been easier to get started.
If you are starting out on your journey to integrate applications with Kafka there are some important aspects that you will want to consider to in order to guarantee smooth operation at scale. In this two part blog I will look at some of these aspects and give some advice for potential Producers and Consumers.
This blog series will focus on the Apache Kafka Java client. Part one focuses on the Producer.
This is the second part of a short blog-series about using CDK and AWS services to build and deploy a personal solution for monitoring electricity usage. In this part, we’ll look more closely at the Golang-based lambdas.
As a personal exercise learning AWS Lambda and CDK, I developed a solution that helps me monitor how much electricity my house uses.
The solution is built around the Watty energy monitor, the Tibber API and various AWS services.
Alla system som hanterar läkemedelsinformation kommer förr eller senare behöva anpassa sig till IDMP-standarder. I denna blogg tittar vi på vad IDMP är och hur långt man har kommit med införandet i Sverige.
Over the past 18 months a crack-team of software developers and IT architects from Callista Enterpise, lead by the formidable trio Magnus Larsson, Peter Larsson and Fredrik Larsson has developed a new programming language for the nano-service, cross-cloud, no-platform based programming model.
It has now become time to share the good news and release this paradigm changing novel programming language to the wider community. We sincerely hope you will enjoy it!
This is the third part of my blog series on reactive programming, which will give an introduction to WebFlux - Spring’s reactive web framework.
In part 1 of this two part blog, we developed a simple webcomponent using only plain javascript, css and html. In this second part we will explore how the stencil.js toolchain can help us author components and ease integration in some of today’s popular frameworks.