Systems Architecture
The faster you can release changes, the faster you can ship new features, fix bugs, and solve incidents. But there's more: The less time it takes to think about deploying to production, the more time your engineers get back to work on meaningful tasks or spend their time
Swift
Real-time features on the web are usually built around WebSockets, bi-directional data channels, which send messages back and forth. While there are a lot of clients for testing network requests, there are limited solutions for observing WebSockets over time. Today I'm introducing a new application I've
SwiftUI
Programmatic navigation can be quite hard to build in SwiftUI, requiring you to manage a lot of state internally, figuring out how to nest views correctly so push behaviour works as expected, it's not a lot of fun. I'm excited to announce that I've
Amazon Web Services (AWS)
When running containerized services in Elastic Container Service (ECS), it's often important to know which environment you're running in. While environment variables can be useful to store deployment-related information, knowing the current cluster, task definition, and revision, or simply the availability zone, can prove vital when
PostgreSQL
I'm thrilled to announce a new project I've been putting hours into the last couple of days! Building data-driven products often means that you want to be able to react to changes as soon as they come in. This means, that you'll expect ways
Hacks
I'm glad to announce the release of yet another command-line tool to make your life a little easier - at least if you're one of the few people that actively use GitHub's status feature: Let's get a round of applause for ghstatus,
Open-Source
When developing dockerized applications, you might stumble upon the sheer difficulty and annoyance of simply deploying your Compose file along with built service images. If you're not using a full cloud setup and instead want to deploy to a small number of machines, you're left with
GraphQL
After doing some cleanup on my projects list, I found a nearly-forgotten tool that I wrote a few months ago, and with some polishing and overhaul done, I'm happy to present to the world: aqueduct. To put it simply, it's a proxy service for GraphQL applications,
GraphQL
After releasing the post about tracing basics with an example of setting up tracing with a GraphQL service, I thought of a solution to make the development of tracing features for this kind of services even easier - the result of that effort is called graphql-middleware-jaeger. The simple functionality of