Official service account of 360 Smart Cloud, dedicated to building a high-quality, secure, highly available, convenient, and stable one‑stop cloud service platform.
This article examines InfluxDB's in‑memory and TSI indexing, investigates queue buildup caused by asynchronous batch writes and high I/O, analyzes excessive SHR memory usage, and proposes configuration, retention policy, NUMA, and query optimizations to improve overall database performance.
The article investigates why an InfluxDB 1.8 instance on a 32‑core, 64 GB production server consumes over 95% memory and generates heavy disk I/O, analyzes runtime statistics, pprof data, and Go memory‑release behavior, and presents configuration and runtime tweaks that reduce memory usage to ~55% and I/O load to acceptable levels.
This article provides a comprehensive overview of Elasticsearch, covering its distributed architecture, fundamental concepts such as nodes, shards, and indices, as well as practical guidance on index design, bulk writing, query‑fetch workflow, scroll queries, aliases, and basic optimization tips.
This article explains Go's testing capabilities, covering how to write benchmark functions, use table‑driven and parallel tests, measure code coverage, detect data races with the -race flag, and run static analysis with go vet, providing practical code examples for each feature.
This article explains how Linux tracing tools such as kprobes, uprobes, tracepoints, eBPF, perf, ftrace, sysdig, SystemTap and LTTng fit together, describing their data sources, collection mechanisms and front‑ends, and offers guidance on choosing the right tool for low‑overhead debugging and performance analysis.
This article describes the challenges of deploying a large BERT model as an online service for 360 Search and details engineering optimizations—including framework selection, model quantization, knowledge distillation, stream scheduling, caching, and dynamic sequence handling—that dramatically improve latency, throughput, and resource utilization.
This article explains how to boost the efficiency of massive regular‑expression matching by using Intel's Hyperscan library, integrating it with Apache Flink for streaming processing, and providing deployment guidelines for both private and internal environments.
This article provides a comprehensive overview of Polkadot, explaining its relay‑chain and parachain architecture, cross‑chain interoperability goals, detailed transaction lifecycle across five stages, the nominated proof‑of‑stake (NPoS) consensus mechanism, and the growing ecosystem of applications built on the platform.
This article explains the fundamentals of distributed locks, compares lock implementations based on asynchronous replication and Paxos protocols, and provides practical Redis and etcd/Zookeeper examples—including exclusive and shared lock mechanisms, code snippets, and usage considerations for reliability and safety.
This article details the background, architecture, step‑by‑step troubleshooting, analysis of network and server queues, and the final configuration changes that resolved the intermittent slow response times of the Octavia load‑balancer API in an OpenStack environment.
