Can you run HAProxy as a Docker container? Yes! Did you even need to ask? Docker is ubiquitous these days and you’ll find that many applications have been Docker-ized; the HAProxy load balancer is no exception. Pardon the cliché, but HAProxy was born for this. As a standalone service that runs on Linux, porting it to Docker certainly seemed natural. Why would you want to run your load balancer inside of a Docker container? Are their performance penalties when doing so?

AWS Auto Scaling groups are a powerful tool for creating scaling plans for your application. They let you dynamically create a group of EC2 instances that will maintain a consistent and predictable level of service. HAProxy’s Data Plane API adds a cloud-native method known as Service Discovery to add or remove these instances within a backend in your proxy as scaling events occur. In this article, we’ll take a look at the steps used to integrate this functionality into your workflow.

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Learn how to set up basic load balancing using the HAProxy configuration file. If you’re new to using the HAProxy load balancer, you’ve come to the right place. In this blog post, you’ll learn how to configure HAProxy for basic load balancing. I am assuming that you’ve already installed the software. If not, there are several ways to do so.

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Run your HAProxy Kubernetes Ingress Controller in External mode to reduce network hops and latency. Traditionally, you would run the HAProxy Kubernetes Ingress Controller as a pod inside your Kubernetes cluster. As a pod, it has access to other pods because they share the same pod-level network. That allows it to route and load balance traffic to applications running inside pods, but the challenge is how to connect traffic from outside the cluster to the ingress controller in the first place.

HAProxy with the HAProxy Data Plane API can integrate with Consul to enable service discovery for your load balancer configuration.

HAProxy generates over a hundred metrics to give you a nearly real-time view of the state of your load balancers and the services they proxy, but to get the most from this data, you need a way to visualize it. InfluxData’s InfluxDB suite of applications takes the many discrete data points that make up HAProxy metrics and turns them into time-series data, which is then collected and graphed, giving you insight into the workings of your systems and services.

HAProxy 2.4 adds exciting features such as support for HTTP/2 WebSockets, authorization and routing of MQTT and FIX (Financial Information Exchange) protocol messages, DNS resolution over TCP, server timeouts that you can change on the fly, dynamic SSL certificate storage for client certificates sent to backend servers, and an improved cache; it adds a built-in OpenTracing integration, new Prometheus metrics, and circuit breaking improvements.