All posts tagged with java


This blog post is adapted from a talk given by Joe Kutner at Devoxx 2018 titled "10 Mistakes Hackers Want You to Make."

Building self-defending applications and services is no longer aspirational--it’s required. Applying security patches, handling passwords correctly, sanitizing inputs, and properly encoding output is now table stakes. Our attackers keep getting better, and so must we.

In this blog post, we'll take a look at several commonly overlooked ways to secure your web apps. Many of the examples provided will be specific to Java, but any modern programming language will have equivalent tactics.

1. Ensure dependencies are up-to-date

Every year, OWASP, a group of...

Designing scalable, fault tolerant, and maintainable stream processing systems is not trivial. The Kafka Streams Java library paired with an Apache Kafka cluster simplifies the amount and complexity of the code you have to write for your stream processing system.

Unlike other stream processing systems, Kafka Streams frees you from having to worry about building and maintaining separate infrastructural dependencies alongside your Kafka clusters. However, you still need to worry about provisioning, orchestrating, and monitoring infrastructure for your Kafka Streams applications.

Heroku makes it easy for you to deploy, run, and scale your Kafka Streams applications by using supported...

Pushing an app to the cloud can feel like launching a probe into space. Once your project is thousands of miles away you can't bang on it with a hammer or replace broken parts when there's a problem. Your debugging efforts must rely on the instrumentation, telemetry, and remote controls included with the app when it was deployed. On Heroku, we've gladly done some of that prep work for you.

Two new Heroku features, Heroku Exec and Language Runtime Metrics, improve your production monitoring, inspecting, and debugging experience on the platform. With Heroku Exec, you can create secure TCP and SSH tunnels into a dyno, which facilitate SSH sessions, port forwarding, remote...

DSCF4286 Last week at RailsConf in Kansas City, Terence Lee and Richard Schneeman of Heroku’s Ruby Task Force sat down with the legendary Aaron Patterson (AKA tenderlove).

Aaron has been working hard to make Ruby three times faster — a goal that Matz called Ruby 3x3. Along the way, Aaron has discovered that Ruby may face a hard decision. On one side, Ruby can continue to be the productive, general-purpose scripting language that it looks like today. But the other side of Ruby is that it’s used to run long-running processes in Rails applications, pushing it to be more performant, strongly-typed, and memory-heavy. Ruby can't prioritize both.

To find out where Aaron thinks Ruby’s going, you can...

Browse the blog archives or subscribe to the full-text feed.