Popular apps can be vulnerable to traffic surges that overwhelm the APIs and cause cascade failures. In this tutorial, Daniele Polencic of learnk8s demonstrates how to use multiple NGINX Ingress Controllers combined with enable rate limiting to prevent Kubernetes apps and APIs from crashing.
Traffic surges can cause bottlenecks, leading to dropped connections and lost customers. In this tutorial, Daniele Polencic of learnk8s shows how to reduce latency for a Kubernetes app by autoscaling the number of NGINX Ingress Controller pods in response to high traffic.
We've completed the first phase of adding observability to the NGINX Modern Apps Reference Architecture (MARA). Here's how and why we chose OpenTelemetry as our base solution, and how we integrated it and other solutions to implement seven aspects of observability.
The built-in live activity monitoring dashboard tracks NGINX Plus metrics in real time, and can get additional insight from visualizations of performance over time. In this demo and blog we show how to generate time-series graphs of NGINX Plus metrics using Prometheus and Grafana.
With Opsani you can optimize NGINX Ingress Controller performance in the cloud. Powered by machine learning, Opsani processes metrics collected by Prometheus to ensure that the right amount of resources is consumed for higher performance and lower cost.
There are two types of visibility data that provide crucial insights into application and Kubernetes performance. Learn how the monitoring tools built into NGINX Ingress Controller and NGINX Service Mesh help improve visibility as you diagnose real-world problems.