Systems | Development | Analytics | API | Testing

Network jitter isn’t just background noise – it’s a source of unpredictable delays that can skew load testing results. If you overlook jitter, you risk misdiagnosing performance issues or missing genuine bottlenecks.

In Under the Hood with Go TLS and eBPF, I left socket tracking as an exercise for later. The example used bpf_get_current_pid_tgid() and explicitly excluded concurrent TLS operations. Capturing plaintext was enough for that post. With rustls, later arrived: I could read the HTTP payload perfectly and still attach it to the wrong TCP connection. That’s a frustratingly convincing failure. The request looks right. The response looks right. The application works.

Performance engineers who tailor their analysis to the specific behaviors and metrics of each network protocol will uncover issues that generic approaches miss. With protocols like QUIC and HTTP/3 seeing rapid adoption, keeping testing methods current is essential for credible results.

Teams often assume that cloud load test results reflect how their applications will perform under real-world pressure. Yet, network latency is the silent variable that can quietly undermine these results. While organizations invest heavily in simulating user traffic, they often overlook the impact of latency – a factor that can significantly alter outcomes. Latency is ever-present in cloud testing, but rarely receives the attention it deserves.

Despite years of progress in cloud testing platforms, network latency remains the most stubborn – and often ignored – variable in load testing reliability. A recent study highlights that network latency can skew load test results by as much as 30%. That’s not a rounding error; it’s the difference between a site that passes in the lab and one that buckles under real-world traffic.

Securing your web applications with HTTPS is essential for production deployments. SSL/TLS certificates encrypt data in transit, protect user privacy, and improve search engine rankings. For Nginx web servers, Certbot from Let's Encrypt provides a free, automated solution for obtaining and managing SSL certificates. This guide walks you through implementing SSL certificates on Nginx using Certbot, covering installation, certificate generation, and automated renewal.

‍ In today’s connected world, every enterprise depends on networks- from internal servers and employee devices to cloud platforms and hybrid systems. However, as these networks grow in size and complexity, they become prime targets for cybercriminals. By 2025, cybercrime will cost businesses $10.5 trillion annually, making it one of the most significant economic risks worldwide.

Network performance is a very important aspect of digital communication that is greatly affected by latency. Having an understanding of how to test network latency is important as it promotes reliability and faster connections. In this blog, we are going to look at what network latency is and why it is important to know about it. We will also look at the various types of latency, the causes of network latency, and how to check, measure, and test it.

Today, we’re announcing the public preview of TCP Proxy — a new way to expose TCP ports publicly. Until now, services on Koyeb could only be publicly exposed via HTTP, HTTP/2, WebSocket, and gRPC protocols. TCP-based workloads were limited to private access within the mesh network for service-to-service communication. With TCP Proxy, that changes. You can now make any TCP service publicly accessible with minimal configuration.

In this blog, I’ll walk you through the essential steps and guidance for parsing network protocols. We’ll assume that you’re already running a Layer 4 (L4) proxy to capture packets into a buffer, and you have both the client and destination connection objects readily available. This guide will focus on helping you convert raw network data into meaningful, structured information.