Driving continuous progress in observability technology!
This article explains how to use Access Log data combined with AIOps algorithms and SPL to quickly identify traffic spikes, pinpoint their origins, and apply targeted scaling and optimization for cloud‑native services experiencing sudden user growth.
This article explains the importance of centralized log auditing for breaking information silos, meeting legal requirements, and enhancing security insights, and details how Alibaba Cloud's Simple Log Service (SLS) supports VPC flow log collection, multi‑region aggregation, rule configuration, custom analysis, and alerting.
After the OpenAI outage caused massive Kubernetes API overload, Alibaba Cloud’s Container Service and Observability teams detail how they reinforce large‑scale K8s clusters with high‑availability control‑plane design, optimized Prometheus probing, out‑of‑band monitoring, and best‑practice guidelines for capacity planning, safe releases, and rapid incident response.
This article explains the importance of network stability, outlines major real‑world outages, and introduces synthetic monitoring—its functions, advantages, disadvantages, and various types such as protocol, browser, and internal monitoring—while comparing probe point categories and guiding enterprises on selecting the right strategy to improve service reliability and performance.
This article explains how Alibaba Cloud's SLS StoreView feature creates virtual logstores that combine data from multiple projects and regions, allowing cross‑project queries, data isolation, enrichment, and unified analysis without costly data replication.
Alibaba Cloud’s recent research breakthroughs—Mint, a cost‑efficient tracing framework that captures all request flows while drastically cutting storage and network overhead, and FAMOS, a multi‑modal fault‑diagnosis method for microservice systems—have been accepted to the prestigious ASPLOS and ICSE conferences, marking the first top‑conference publications in observability for the company.
This article outlines a comprehensive approach to identifying and resolving both error‑related and slow‑request problems in online systems by leveraging trace data, log correlation, method‑stack analysis, unified entity models, and large‑language‑model assistance to accelerate root‑cause diagnosis.
The article analyzes the December 11 OpenAI outage, revealing that a newly deployed telemetry service overloaded Kubernetes API servers, breaking DNS resolution and slowing recovery, and compares OpenAI’s approach with LoongCollector/iLogtail’s design to offer stability insights for cloud‑native environments.
This article compares three Go observability solutions—SDK instrumentation, eBPF‑based monitoring, and compile‑time code injection—explaining their mechanisms, open‑source implementations, trade‑offs, and why Alibaba Cloud's Instgo compile‑time approach offers a low‑overhead, non‑intrusive APM alternative.
Alibaba Cloud’s SLS SQL engine has been completely rebuilt, leveraging C++ SIMD, compute‑storage fusion, fine‑grained parallel pipelines, and advanced caching, delivering up to three‑fold raw performance gains, halving latency, and dramatically accelerating high‑cardinality, incremental, and join queries across trillion‑row log datasets.
