Debugging Java applications running on Docker.

What Are Containers? A Simple Guide to Containerization and How Docker Works

Docker is awesome. I was late to the party and didn’t get hands-on until last year. But Docker has quickly become one of the favorite tools. It enables software developers to package, ship and run their applications anywhere without having to worry about setup or dependencies. Combined with Kubernetes, it becomes even more powerful for streamling cluster deployments and management. I digress. Back to Docker. Docker is loved by software developers and its adoption rate has been remarkable. So what exactly is Docker? It’s a platform for building, testing, deploying and publishing containerized applications. I say platform because Docker is a set of tools for managing all-things related to containers. Containers are at the heart of Docker so that’s what we’re going to explore in depth next. What is a Container? Containers provide a way to install and run your applications in isolated environments on a machine. Applications running inside a container are limited to resources (C...

Microservice integration patterns - Binary Consulting

The following question was recently asked on the team. We have an e-commerce application comprised of an order service where orders are placed, a billing service for taking payments, and a shipping service for delivering the order. We want to introduce a notification service to send emails, such as order confirmation. The confirmation email has a template, provided by marketing, and contains information about the order such as products purchased, delivery address, and payment information. How do I get the data contained in these separate services without too much coupling? I’ve taken an Amazon order confirmation email as an example and have highlighted the content provided by each of the four services named above within the email. Aggregating data from multiple autonomous services can be approached in many different ways. Driving our architectural choice is the understanding that an autonomous service is responsible for its own data and domain logic. We want services to fulfill ...

Attack on Checkbox: When data ingestion gets ugly

A fun tale of when software is much easier said than done. Disclaimer: All material in this post has been used with permission. Certain details modified for client confidentiality. TL;DR: “Just read in data from Excel files. Easy!” We were wrong. When geometry, image analysis, and a little creativity come together to save a client countless hours of struggle. Shameless plug: if data ingestion troubles are keeping you up at night, contact us ! The Project That Started It All We founded our software consultancy so we could pursue our dreams in a way that full-time jobs wouldn’t let us: a touring death metal drummer, a mad roboticist, and a one-man band. It was just three of us in Calvin’s living room when our first client called. “We need a feature for our webapp where users can upload Excel and Word files, then it ingests all the form data to a database.” Sounds easy. Read in some files, parse the relevant pieces, and store them to a database. How ...

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