The HAProxy Data Plane API 2.3 expands its service discovery mechanisms and introduces native support for discovering AWS EC2 instances and auto-scaling groups. It also adds a new configuration file that supports HCL and YAML, an Inotify configuration watcher, and Syslog support. HAProxy Data Plane API version 2.3 is now available and you will find it in the 2.3 version of the Alpine Docker image.

We’re proud to announce the release version 1.6 of the HAProxy Kubernetes Ingress Controller. This version provides the ability to add raw configuration snippets to HAProxy frontends, allows for ACL/Map files to be managed through a ConfigMap, and enables complex routing decisions to be made based on anything found within the request headers or metadata.

One of the greatest strengths of containers is the ability to spin more of them up quickly. As the volume of traffic to your application increases, you can create more application containers on the fly to handle it, in almost no time at all. Kubernetes ships with autoscaling baked in, giving you the power to scale out when the system detects an increase in traffic—automatically!

Many of you use HashiCorp Consul for service discovery. It makes connecting one backend application or service to another easy: Your Consul servers store a catalog of addresses to all of your services; when an application within the network wants to discover where a service is listening, it asks Consul, which gives it the address.

For the first time, a software load balancer exceeds 2-million RPS on a single Arm instance. A few weeks ago, while I was working on an HAProxy issue related to thread locking contention, I found myself running some tests on a server with an 8-core, 16-thread Intel Xeon W2145 processor that we have in our lab. Although my intention wasn’t to benchmark the proxy, I observed HAProxy reach 1.03 million HTTP requests per second.

A floor of commotion bustling with people holding phones and shouting out purchase and sell orders, some using hand signals to communicate over the noise. This was a common scene on Wall Street in the 1980s. Nowadays, transactions happen at the push of a button with traders sitting directly in front of a computer. In fact, the computer has made it possible to automate the buying and selling of securities, leading to an era of high-frequency, algorithmic trading.

In almost every case, APIs have changed how modern applications connect to their data. Mobile apps, single-page web apps, IoT devices, integration hooks between software—all of these things rely on APIs to fetch, update, delete, and create data. In fact, one set of APIs might serve as the backbone of a website, mobile app, voice assistant device, and more, meaning one data store owns a treasure trove of information about us, the human users.