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How Belly Scales Using API Proxies with their Microservices Architecture: Interview with Darby Frey

Darby Frey is Director of Platform Engineering at Belly, the leading loyalty marketing platform in the U.S. For more information, Read our Belly customer story to learn more about how Heroku has helped Belly scale their business.

How did you approach migrating to a microservices architecture?

Originally, we built the entire business on one Rails app. Then a couple years ago, we pivoted to a microservices approach. It is still a work in progress, but …

Introducing Heroku Teams

For many of us, building apps is a team sport. With any team, getting all the people, processes and tools in sync and working together can be a challenge, and this is especially true with software development.

Today we are announcing a new feature designed to help to make building and running effective software teams easier. Available for free (for up to five users), Heroku Teams lets groups of software developers manage different projects, permissions, …

See Python, See Python Go, Go Python Go

Andrey Petrov is the author of urllib3, the creator of Briefmetrics and ssh-chat, and a former Googler and YCombinator alum. He’s here to tell us of a dangerous expedition his requests undertook, which sent them from Python, through the land of C, to a place called Go (and back again).

Today we're going to make a Python library that is actually the Go webserver, for which we can write handlers in Python. It …

Apache Kafka 0.10 Evaluating Performance in Distributed Systems

At Heroku, we’re always striving to provide the best operational experience with the services we offer. As we’ve recently launched Heroku Kafka, we were excited to help out with testing of the latest release of Apache Kafka, version 0.10, which landed earlier this week. While testing Kafka 0.10, we uncovered what seemed like a 33% throughput drop relative to the prior release. As others have noted, “it’s slow” is the hardest problem you’ll ever …

Heroku Metrics

For almost two years now, the Heroku Dashboard has provided a metrics page to display information about memory usage and CPU load for all of the dynos running an application. Additionally, we’ve been providing aggregate error metrics, as well as metrics from the Heroku router about incoming requests: average and P95 response time, counts by status, etc.

Almost all of this information is being slurped out of an application’s log stream via the Log Runtime …

Reactive Ruby: Building Real-time Apps with JRuby and Ratpack

Nothing beats Ruby when it comes to rapid development, quick feedback, and delightful coding. The Ruby runtime and traditional ruby frameworks favor synchronous programming, which makes them easy to use and understand. But microservices and real-time apps require asynchronous programming and non-blocking IO to enable maximum throughput. That's where JRuby comes in.

You can build reactive microservices in Ruby using JRuby and frameworks like Ratpack. JRuby interprets Ruby code into Java Virtual Machine (JVM) …

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