## +24 ## Multi Producer, Multi Consumer, Lock Free, Atomic Queue User API and Implementation ... ## EREZ STRAUSS ## Lockfree, MPMC Queue - Legal All Statements and representations are my own and do good average - Worst case scenario, as close as possible to average • Multi producers threads - on multiple cpu-cores • Multi consumers threads - on multiple cpu-cores C++17 - no need to support C++14 between publishers and consumers • bounded - no memory allocation, other than init time • Multi producer, multi consumer • Limited data size - up 12 bytes • Ownership transfer using unique_ptr wrapper

## raft在Curve存储中的工程实践 D I G I T A L S A I L 陈威 Curve Maintaner 网易资深服务端开发工程师 01 Curve介绍 项目背景 | Curve架构 | 使用场景 | Curve社区 raft和braft raft协议介绍 | braft介绍 raft在Curve中的应用 raft in Curve块存储 Curve块存储 | raft in curve文件存储 | 配置变更 Curve对raft的优化 优化点1 | 优化点2 05 Q&A 答疑 ## 项目背景 ## Curve是一个高性能、更稳定、易运维的云原生分布式存储系统，支持块存储和文件存储 Curve块存储和文件存储均采用raft协议 ## 2021 ~2022 Curve文件存储 ## 2018 ~2021 Curve块存储 Curve社区 02 raft和braft raft协议介绍 | braft介绍 03 raft在Curve中的应用 raft in Curve块存储 | raft in curve文件存储 | 配置变更 04 Curve对raft的优化 优化点1 | 优化点2 05 Q&A 答疑 ## RAFT协议简介 ## 什么是raft - raft 是一种新型

# Kubernetes VM Solutions for Multi-Tenant Applications Guangxu Li, Senior Software Engineer, ZTE li.guangxu@zte.com.cn ## Container and VM Ecosystem ## Container VM Kubernetes Docker Swarm Marathon

contains given 3d coordinates Normalises 3d coordinates into indexes Combine indexes into one - like multi-dimensional array index ## CELL BOUNDS FROM INDEX struct GridDimensions { uint32_t cell_count;

## Scaling a Multi-Tenant k8s Cluster in a Telco Pablo Moncada eBPF Summit October 28, 2020 ## About MasMovil group • 4th telecom company in Spain - Provides voice and broadband services to +12M customers operational complexity  ## Multi-tenancy caveats - Single underlying infrastructure - Reduce operational complexity - Infrastructure

# Learn Unity by Creating a 3D Multi-Level Platformer Game By Pablo Farias Navarro Certified Unity Developer and Founder of Zenva ## Table of Contents Introduction Tutorial requirements and project Player movement Player jumping Collecting coins Game Manager Enemy movement Multi-level game Adding the HUD Home screen Game Over screen Finishing up ## I ntroduction ntroduction Interested in making games with Unity? In this guide you'll learn to create a simple a 3D, multi-level platformer game with Unity. We’ll start from the very basics and I’ve done my best to leave

... 278 7.6.2 TiFlash_schema_apply_duration ..... 278 7.6.3 TiFlash_raft_read_index_duration ..... 278 7.6.4 TiFlash_raft_wait_index_duration ..... 279 故障诊断 ..... 279 8.1 慢查询日志 ..... 279 8 .... 440 9.3.4 控制执行计划 ..... 486 0 教程 ..... 506 10.1 同城多数据中心部署 TiDB ..... 506 10.1.1 了解 Raft 协议 ..... 506 10.1.2 同城三数据中心方案 ..... 507 10.2 两地三中心部署 ..... 512 10.2.1 简介 ..... 512 10.2.2 Step …… 2258 15.4 P …… 2258 15.4.1 Pending/Down …… 2258 15.5 R …… 2259 15.5.1 Region/Peer/Raft Group …… 2259 15.5.2 Region Split …… 2259 15.5.3 Restore …… 2259 15.6 S …… 2259 15.6.1 Scheduler

8e0fd1b2626578fba41c/p22_4.jpg) 测试环境：6台服务器*20块SATA SSD，E5-2660 v4，256G，3副本场景 ## 高性能 • quorum机制：raft • 轻量级快照 • io路径上的优化 • filepool落盘零放大 • 轻量级线性一致性读 • io路径上用户空间零拷贝 10卷4K随机读写IOPS  ## 高可用 chunkserver 使用raft, 2N + 1 个副本允许 N 副本异常  | 高可用 | 自治 | 易运维 | 高质量 04 近期规划 Curve的近期规划 ## 近期规划 ## • 性能优化 • 满足数据库性能要求 大io吞吐优化 • muti raft 性能优化 ## • 开源 系列技术分享 参与开发人员线上议题讨论会 ## 欢迎大家参与CURVE项目！ ![Image](/uploads/documents/0/9/e/3/09e38

... 290 7.6.2 TiFlash_schema_apply_duration ..... 291 7.6.3 TiFlash_raft_read_index_duration ..... 291 7.6.4 TiFlash_raft_wait_index_duration ..... 291 7.7 自定义监控组件的配置 ..... 292 7.7.1 自定义 Prometheus 优化流程 ..... 459 9.3.4 控制执行计划 ..... 508 10 教程 ..... 529 10.1 同城多数据中心部署 TiDB ..... 529 10.1.1 了解 Raft 协议 ..... 529 10.1.2 同城三数据中心方案 ..... 529 10.2 两地三中心部署 ..... 535 10.2.1 简介 ..... 535 10.2.2 2372 15.4 P ..... 2372 15.4.1 Pending/Down ..... 2372 15.5 R ..... 2373 15.5.1 Region/Peer/Raft Group ..... 2373 15.5.2 Region Split ..... 2373 15.5.3 Restore ..... 2373 15.6 S …… 2373 15

wikipedia.org/wiki/Fault_tolerance] (CFT) consensus protocol might be more than adequate whereas, in a multi-party, decentralized use case, a more traditional byzantine fault tolerant [https://en.wikipedia. implementations. The first is based on the etcd library [https://coreos.com/etcd/] of the Raft protocol [https://raft.github.io/raft.pdf]. The other is Kafka [https://kafka.apache.org/] (which uses Zookeeper [https://zookeeper patch release. ## Raft ordering service Introduced in v1.4.1, Raft [https://raft.github.io/raft.pdf] is a crash fault tolerant (CFT) ordering service based on an implementation of Raft protocol in etcd