From 019f952f731d6540a9868d18b3a1d44f22a908d7 Mon Sep 17 00:00:00 2001 From: zhenyu Date: Tue, 2 Sep 2025 17:23:29 +0800 Subject: [PATCH] =?UTF-8?q?=E4=BF=AE=E5=A4=8D=E6=96=87=E7=AB=A0=E8=8B=B1?= =?UTF-8?q?=E6=96=87=E5=90=8D=E7=A7=B0?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- translate/translated/01-about/01-overview.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/translate/translated/01-about/01-overview.md b/translate/translated/01-about/01-overview.md index 5c4ec9ac..9e179be4 100644 --- a/translate/translated/01-about/01-overview.md +++ b/translate/translated/01-about/01-overview.md @@ -47,7 +47,7 @@ The sandbox mechanism is the core difference between eBPF and APM instrumentatio **Second, full-stack capability solves the fault triage difficulty**. eBPF's capabilities cover every layer from the kernel to user programs, allowing us to track a request from the application, through system calls, network transmission, gateway services, security services, to the database service or peer microservice in the full-stack path, **providing sufficient neutral observability data to quickly complete fault triage**. -For a more detailed analysis of this aspect, please refer to our article [《eBPF 是实现可观测性的关键技术》](https://deepflow.io/zh/ebpf-the-key-technology-to-observability/). +For a more detailed analysis of this aspect, please refer to our article [《eBPF: The Key Technology to Observability》](https://deepflow.io/ebpf-the-key-technology-to-observability/). It is important to emphasize that this does not mean DeepFlow only uses eBPF technology. On the contrary, DeepFlow supports seamless integration with popular observability tech stacks, such as serving as a storage backend for Prometheus, OpenTelemetry, SkyWalking, Pyroscope, and other observability signals.