Managing incoming web traffic for your applications is essential to ensuring optimal performance, preventing abuse, and maintaining the security of your cloud infrastructure. To accomplish this, one of the tools HAProxy Enterprise users have at their disposal is rate limiting—the practice of preventing clients from making too many requests and using system resources unfairly.
In part 1 of this 2 part blog we looked at some common engineering tradeoffs. But how might someone navigate these tradeoffs and build a model that works for their product? Here are some core concepts that can help along the way.
When it comes to managing infrastructure resources, striking a balance between rightsizing and cost optimization is crucial. Our cloud infrastructure at Mattermost runs on multiple Kubernetes clusters, RDS clusters, and S3 buckets, all isolated from each other for enhanced security and performance.
Monitoring your network performance is important for many reasons and can help in detecting network issues such as bandwidth congestion, latency, packet loss, or hardware failures. By continuously monitoring your network, you can identify areas where improvements can be made, allowing for optimization of resources, better allocation of bandwidth, and overall enhancement of network efficiency.
