This article will introduce how to use DeepFlow's zero-code eBPF-based features to build an observability solution for Kong Gateway. It will also explain how to integrate the rich data sources from existing Kong plugins on this basis to eliminate silos and create a unified observability platform for comprehensive monitoring and analysis of Kong Gateway. With DeepFlow, Kong Gateway can achieve comprehensive observability from traffic monitoring and tracing analysis to performance optimization, eliminating data fragmentation and providing a centralized monitoring view. This accelerates fault diagnosis and performance tuning, making the work of DevOps and SRE teams more efficient.

This article aims to elucidate how to leverage DeepFlow's zero-code feature based on eBPF to construct an observability solution for APISIX. On this basis, it integrates the rich data sources of existing APISIX plugins to eliminate data silos and build an all-in-one platform for comprehensive observability of the APISIX gateway. Through DeepFlow, APISIX can achieve comprehensive observability from traffic monitoring and tracing analysis to performance optimization, eliminating data dispersion and providing a centralized view. This accelerates fault diagnosis and performance tuning, making the work of DevOps and SRE teams more efficient. This article will focus on how APISIX's tracing data, metric data, access logs, and performance profiling data can be integrated with DeepFlow.