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Home electricity usage monitoring with AWS services and Go, part 1.
// Erik Lupander
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.
IDMP – Framtidens meddelandeformat inom läkemedelsbranschen
// Sara Adenbrant
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.
Callista launches new nano-services language: Callang(TM)
// David Ström
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!
WebFlux - Reactive Programming with Spring, Part 3.
// Anna Eriksson
This is the third part of my blog series on reactive programming, which will give an introduction to WebFlux - Spring’s reactive web framework.
Building Framework Agnostic WebComponents with stencilJS - Part 2
// Marcus Cedergren
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.
Building Framework Agnostic WebComponents with stencilJS - Part 1
// Marcus Cedergren
The initial W3C Web Components specification draft was introduced way back in 2011. Every now and then over the years I’ve read articles and blog posts about the progress, but it’s only recently that v1 of the spec has been adopted by the major browser vendors. In the meantime, popular frontend libraries and frameworks like React, Vue, and Angular have created their own separate ways of creating components. For me, this raises a few questions:
- Are Web Components still relevant?
- How do you create them?
- What’s their place in today’s ecosystem?
In this two part blog series I will try to answer these questions by creating sample components using different techniques and subsequently integrating them in some popular frameworks. First we will go through a quick rundown of some basic concepts before moving on to explore stencil.js in the second part of the series.
Dynamic Multi Tenancy with Spring Boot, Hibernate and Liquibase Part 6: Implementing the Shared Database with Discriminator Column pattern using Postgres Row Level Security
// Björn Beskow
In the last part, we implemented the Shared Database with Discriminator Column pattern usign Hibernate Filters. We observed that it will scale well, but the data isolation guarantee is troublesome due to shortcomings in the Hibernate Filter mechanism.
In this part, we will tweak the solution and redo the critical Filtering part using an advanced database mechanism: Row Level Security.
Testing A Kafka Event Producer With Spring Boot And JUnit 5 Part 2
// Martin Holt
In part 1 of this two part blog I introduced a pattern for integration testing a Spring Boot application that publishes events via Kafka.
In part 2 I will discuss what happens when the test suite grows, look in depth at the Kafka Consumer, and offer one solution for how to reduce long execution times.
The source code for the example application can be found by following the link.
Dynamic Multi Tenancy with Spring Boot, Hibernate and Liquibase Part 5: Implementing the Shared Database with Discriminator Column pattern using Hibernate Filters
// Björn Beskow
In the last part, we implemented the Schema-per-tenant pattern, and observed that it will scale better than the Database-per-tenant implementation. There will still most likely be an upper limit on the number of tenants it supports, caused by the Database Migrations that has to be applied to each tenant.
In this part, we will redo the solution and implement the Shared database with Discriminator Column pattern using Hibernate Filters and some AspectJ magic.
Testing A Kafka Event Producer With Spring Boot And JUnit 5 Part 1
// Martin Holt
A successful continuous delivery (CD) pipeline requires a high level of automated testing. It is essential that tests are reliable to ensure that nothing unexpected slips into your production environment. Swift execution is also desirable to provide timely feedback to developers.
Testing asynchronous processes provide a different set of challenges from testing a synchronous request-response scenario. In this 2 part blog post I will investigate how to test an application that publishes events via Kafka. In part 1 I will demonstrate a method for getting started with integration testing and in part 2 I will look at how this can be made faster.
The scenario presented in these blog posts is inspired by a real-life case. The following link will take you to the source code for the example application.
Dynamic Multi Tenancy with Spring Boot, Hibernate and Liquibase Part 4: Implement the Schema-per-tenant pattern using Hibernate
// Björn Beskow
In the last part, we implemented the Database-per-tenant pattern, and observed that it has limited scalability. In this part, we will tweak the solution and implement the Schema-per-tenant pattern in much the same way.
Speed-up your Testcontainers tests
// Peter Merikan
This is the second part of a two part series about Testcontainers. In this part I will among other things show you some tricks to get your Testcontainers start much faster.
Getting started with Testcontainers
// Peter Merikan
This is the first part of a two-part series about Testcontainers. In this first part I will explain what it is, what problems it tries to solve, how it works and finally how you can use it in your own projects. In the second part we will see if we can reduce startup time for our Testcontainers.
Dynamic Multi Tenancy with Spring Boot, Hibernate and Liquibase Part 3: Implement the Database-per-tenant pattern using Hibernate
// Björn Beskow
In this part, we’ll implement the Database-per-tenant pattern using Hibernate out-of-the-box support for Multi Tenancy, with Database Migrations using Liquibase and support for dynamically adding new tenants.
Dynamic Multi Tenancy with Spring Boot, Hibernate and Liquibase Part 2: Outlining an Implementation Strategy for Multi Tenant Data Access
// Björn Beskow
In this part, we will outline an implementation strategy to encapsulate a Multi Tenant Data Access mechanism as a transparent, isolated Cross Cutting Concern with little or no impact on the application code. We will also introduce the notion of Database Schema Migration and explain why it is a critical part of a Multi Tenancy mechanism.
Dynamic Multi Tenancy with Spring Boot, Hibernate and Liquibase Part 1
// Björn Beskow
Multi Tenancy usually plays an important role in the business case for SAAS solutions. Spring Boot and Hibernate provide out-of-the-box support for different Multi-tenancy strategies. Configuration however becomes more complicated, and the available code examples are limited. In the first part of this blog series, we’ll start by exploring the Multi Tenancy concept and three different architectural patterns for multi tenant data isolation. In the forthcoming episodes, we’ll deep dive into the details of implementing the different patterns usign Spring Boot, Spring Data and Liquibase.
Project Reactor - Reactive Programming with Spring, Part 2.
// Anna Eriksson
This is the second part of my blog series on reactive programming, providing an overview of Project Reactor, a reactive library based on the Reactive Streams specification. Part 1 covered an introduction to reactive programming.
Using Metrics To Manage Risk in a CD Environment
// Martin Holt
Working in a continuous delivery environment can feel a little daunting - any changes you make will be rapidly delivered to your production environment. Although the intention is to provide immediate benefit for your customer, without proper risk management there is a real risk of exposing bugs and triggering outages. In this blog post I will look at one strategy that uses metrics to reduce those risks.
Optimizing a simple ray-tracer written in Go, part 2
// Erik Lupander
This is the second part of my mini-series on how I used the go profiling and built-in benchmarking tools to optimize a naive ray-tracer written in Go. For part 1, click here.
Optimizing a simple ray-tracer written in Go, part 1
// Erik Lupander
In this 2-part blog we’ll take a look at how I used the go profiling and built-in benchmarking tools to optimize a naive ray-tracer written in Go.