Welcome to Scalable Stories—the podcast where our hosts explore the nuances of web performance, security, and scalable infrastructures. Learn how to optimize your servers with tools like NGINX modules by GetPageSpeed, Varnish Cache, and leverage platforms like RHEL and Rocky Linux for robust deployments.
Each episode offers insights into enhancing server efficiency, speeding up websites, and fortifying against security threats. Whether you’re a developer, sysadmin, or tech enthusiast, join us to unlock the secrets of scalable and secure web architectures.
Technical Briefing: NGINX TLS Backends — aws-lc Support, quictls Backports, and the OpenSSL 3.5 LTS Migration The Problem NGINX's TLS backend options have been constrained by two separate issues: compile-time incompatibilities with aws-lc, and the end-of-life status of the quictls fork that NGINX-MOD has historically shipped against. aws-lc header collisions. aws-lc and NGINX's old QUIC shim collided at compile time in 2024. This has now been resolved: NGINX upstream added aws-lc support in 1.2…
8 Oct 2026
NGINX Dynamic TLS Records: An Honest Benchmark in 2026
Technical Briefing: NGINX Dynamic TLS Records — An Honest Benchmark in 2026 The Problem NGINX's default sslbuffersize is 16 KB, and each TLS record of that size straddles roughly 12 TCP segments. On a lossy link, if a single segment drops, the receiver cannot deliver any byte of that record until retransmission completes — adding at least one full RTT to TTFB on a connection mid-slow-start. Cloudflare's 2015 ngxhttptlsdynsize patch (shipped in nginx-mod) was built to address this by ramping rec…
6 Oct 2026
NGINX limit_req Per Hour, Day, Week, Month with NGINX-MOD
Technical Briefing: Sub-Hourly NGINX Rate Limits with NGINX-MOD The Problem Stock NGINX limitreqzone accepts only two rate units: r/s and r/m. A directive like rate=10r/h fails nginx -t with invalid rate, because the parser matches only those two suffixes and then attempts ngxatoi on the remainder. There is a second, quieter defect. Internally, upstream stores the rate as milli-requests-per-second: ctx->rate = rate 1000 / scale This silently truncates rates slower than roughly 4r/h to zero, so…
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