Driving continuous progress in observability technology!
This article explains how Alibaba Cloud's ARMS uses configurable templates to provide tiered, low‑overhead JVM monitoring and full APM capabilities, enabling users to create, customize, and apply monitoring policies across applications and workspaces for cost‑effective observability.
In cloud environments AccessKey and RAM roles act as digital keys, but their rapid growth makes management complex; this article explains how CloudMonitor 2.0’s log audit and Umodel entity modeling provide comprehensive observability, relationship mapping, dashboards, alerts, and root‑AK detection to secure and streamline credential management.
This article explains why iOS apps experience UI lag, outlines common causes such as heavy UI rendering and synchronous network calls, compares three mainstream lag‑monitoring approaches (Ping thread, FPS, RunLoop), and details a RunLoop‑based solution that captures precise stack traces with minimal performance overhead.
This article explores the challenges of traditional Android APM integration and presents a comprehensive, non‑intrusive bytecode instrumentation approach—using Gradle plugins, AGP APIs, and ASM—to automatically collect user behavior, network, performance, crash, and WebView data without modifying application source code.
Learn how to monitor and analyze crashes in HarmonyOS Next by handling native C/C++ signals and ArkTS/JavaScript errors, using hiAppEvent watchers, simulating crash scenarios, and leveraging build artifacts such as source maps, debug .so files, and nameCache for precise stack trace reconstruction and improved app stability.
This article explains how enterprises can transform massive, fragmented operation data—technical, business, and security—into high‑value intelligent signals by unifying storage, enriching context, applying AI, and delivering a single, observable platform that enables proactive, data‑driven decision making.
Mobile developers often struggle with unreproducible crashes and lag reported by users, spending days sifting through logs and isolated stack traces; this article explains how a cloud‑native iOS SDK links performance metrics, error logs, and user behavior through systematic data collection to dramatically speed up issue diagnosis.
The multiplayer party game 泡姆泡姆 combines colorful shooting, match‑3, physics puzzles and arcade mini‑games, and uses a cloud‑native stack on Alibaba Cloud Container Service with OpenKruiseGame, Keda‑driven auto‑scaling, multi‑region deployment, zero‑downtime updates and a three‑layer observability platform to deliver seamless low‑latency experiences worldwide.
This article examines the high cost and low throughput of embedding vectors in log‑processing scenarios, analyzes the performance bottlenecks of inference frameworks, and details a series of cloud‑native optimizations—including switching to vLLM, deploying multiple model replicas with Triton, decoupling tokenization, and priority queuing—that together raise throughput by 16× and reduce per‑token pricing by two orders of magnitude.
This article explains the challenges of moving AI agents from demo to production, compares native framework and non‑intrusive observability solutions, and provides a step‑by‑step guide to integrate Spring AI Alibaba with LoongSuite's Java agent for OpenTelemetry‑based monitoring.
