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, and people in a unified console with centralized administration and billing. Teams is available today for all users, and is accessible via our newly enhanced dashboard.

Creating Your First Team

With the introduction of Teams, the first...


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 makes Python servers really fast, and—more importantly—it’s a bit fun and experimental. This post is a more detailed overview of my PyCon 2016 talk of the same title. If you'd like to play along at home, this code was written in Go 1.6 and Python 3.5 and the entire complete...


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 debug, and debugging this turned out to be very tricky indeed. We had to dig deep into Kafka’s configuration and operation to uncover what was going on.

Background

We've been benchmarking Heroku Kafka for some time, as we prepared for the...


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 Metrics labs feature. For applications that don't have this flag enabled, which is most applications on the platform, the relevant logs are still generated, but bypass Logplex, and are instead sent directly to our metrics...


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) bytecode to gain the performance and concurrency benefits of Java without writing any Java code or XML. But the performance benefits of the JVM are just the beginning. You can also...


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