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eBPF

Alibaba Cloud Partners with Datadog Close Go's Last Observability Gap

This article introduces OpenTelemetry Go Compile-Time Instrumentation v1, enabling zero-code, build-time observability for Go applications.

eBPF-based Network Observability on ACK: Zero-instrumentation Visibility into Kubernetes Networking

This article introduces KubeSkoop, an eBPF-based ACK tool offering zero-instrumentation, pod-level Kubernetes network visibility for diagnosing DNS timeouts and TCP resets.

Zero-Code Instrumentation: See Through Every AI Agent Invocation

This article introduces OBI, a zero-code, kernel-level solution that automatically captures full AI agent invocation chains and emits GenAI-compliant OpenTelemetry traces and metrics.

Kernel-Level X-Ray Vision: CloudMonitor 2.0 Achieves Full-Stack Observability with Zero Code Changes

This article introduces how CloudMonitor 2.0 leverages OpenTelemetry eBPF Instrumentation (OBI) to achieve full-stack observability with zero code changes.

Alibaba Cloud Observability and Datadog Release OpenTelemetry Go Automatic Instrumentation Tool

Alibaba Cloud and Datadog jointly released an open-source OpenTelemetry Go tool enabling zero-code tracing via compile-time injection.

Best Practices for Gin Framework Observability Without Cumbersome Manual Instrumentation

This article focuses on introducing and comparing several official observability solutions recommended for the Gin framework.

Best Practices for Gin Framework Observability Without Cumbersome Manual Instrumentation

This article focuses on introducing and comparing several official observability solutions recommended for the Gin framework.

How to Deal with MCP "Tool Poisoning"

The article explains how to detect, reproduce, and mitigate MCP “tool poisoning” attacks by combining eBPF-based observability with large-model security evaluation.

Compile-time Instrumentation: The Optimal Choice for Monitoring Go Applications

This article describes why the Alibaba Cloud Compiler Team and Observability Team chose compile-time instrumentation to monitor Go applications.

Application Monitoring eBPF Edition: Non-intrusive Application Monitoring of the Golang Microservice

This article introduces the importance of monitoring microservices in modern software architecture, and highlights the eBPF edition of application monitoring.

ARMS eBPF Edition: Technical Exploration for Efficient Protocol Parsing

This article explores an efficient protocol parsing solution within the eBPF edition for effective observability in cloud-based microservice software architectures.

Building a Next-generation Intelligent Observability System Based on eBPF

This article introduces three major observability challenges in the Kubernetes environment, and explained the solution of data collection in the Kubernetes environment.

Optimal Multi-language Application Monitoring: ARMS eBPF Edition

This article introduces how the ARMS application monitoring eBPF edition meets the growing need for observability.

Enable cgroup V2 on Alibaba Cloud Container Service for Kubernetes

This article describes how to enable cgroup v2 on Alibaba Cloud Container Service for Kubernetes.

The Advantages and Disadvantages of eBPF

This article introduces Extended Berkeley Packet Filter (eBPF) technology and explains its advantages and disadvantages.

Coolbpf Can Compile Remotely and Discover Network Jitter!

This article is an excerpt from a speech about Coolbpf Application Practice from the 2022 Apsara Conference.

eunomia-bpf: The Lightweight Development Framework for eBPF and WebAssembly Is Now Available!

This article is an excerpt from a speech about eunomia-bpf from the 2022 Apsara Conference.

Seven Core Issues about eBPF

This article introduces the eBPF technology by answering seven core questions.

What You Need to Know About eBPF Security Observability

This article highlights a speech from the PODS 2022 Conference, discussing the author’s insights on kernel security.

Improving Kubernetes Service Network Performance with Socket eBPF

How can we use socket eBPF to improve the performance of the Kubernetes Service?