HAProxy 2.6 is now available! As always, the community behind HAProxy made it possible to bring the enhancements in this release. Whether developing new functionality, fixing issues, writing documentation, QA testing, hosting CI environments, or submitting bug reports, members of our community continue to drive the project forward. If you’d like to join the effort, you can find us on GitHub, Slack, Discourse, and the HAProxy mailing list.
In this blog post, you’ll learn how the Proxy Protocol preserves a client’s IP address when that client’s connection passes through a proxy. You will also find resources for how to integrate the protocol into your own proxy or web server software. What is the Proxy Protocol? It is a network protocol for preserving a client’s IP address when the client’s TCP connection passes through a proxy.
HyperText Transfer Protocol (HTTP), the protocol that defines the language browsers use to communicate with web servers, is stateless, meaning that after you make a web request and a server sends back a response, no memory of that interaction remains. To make anything more sophisticated than a static web page work, websites need other ways to remember previous interactions with users.
HAProxy ALOHA is a load balancer that’s ideal for companies in search of high performance and ease of use. It comes as either a hardware appliance or a virtual appliance and provides load balancing of TCP, UDP and HTTP traffic, DDoS protection, and active-active clustering. One of its newest features is the ability to distribute traffic across multiple datacenters or regions through global server load balancing(GSLB).
Recently, a Remote Code Execution vulnerability was discovered in the Java Spring Core library. This vulnerability allows attackers to execute arbitrary code on affected systems. You can find more information on that vulnerability in the announcement on the Spring Blog. While HAProxy Enterprise, HAProxy ALOHA, and other products within the HAProxy Technologies portfolio are not impacted by this (they do not use the Spring Core library at all), you can use our products to mitigate the attack.
HAProxy and HAProxy Enterprise collect a vast amount of information about the health of your applications being load balanced. That data, which uses the Prometheus text-based format for metrics, is published to a web page hosted by the load balancer, and since many application performance monitoring (APM) tools can integrate with Prometheus, it’s likely that you can visualize the data using the APM software you already have.
The focus of the 2.5 version was on expanding support for HAProxy configuration keywords, and that’s where most of the effort during this release cycle was spent. We will continue doing that during the next couple of versions to gain complete feature parity with both the HAProxy configuration and Runtime API so that you can use the Data Plane API as a full-featured way to configure HAProxy.
Load balancing is an indispensable technique for improving a website’s performance. I’ll explain why. With Firefox’s Web Developer Tools open, I visited a popular retailer’s website to see how many HTTP requests my browser made when loading the site. In this case, I counted 119 requests needed to render the landing page.
Every load balancer you’ll find on the market must deliver performance, reliability, scalability, and security, and do it better than its competitors. Each must solve complex programming challenges that address those needs—choices that will affect the direction of the project for years to come. HAProxy is no different. When evaluating whether you should choose HAProxy or something else, it helps to know how project contributors answered the big, architectural questions.
When someone says a website is available, they mean that they can access that website. The application they’re trying to reach is up and working properly. High availability means that the website is up most of the time throughout the year. Companies can even put a percentage on this, striving for 100% availability, but typically getting somewhere a bit less, such as 99.9% or 99.99%.
