C++ in the Cloud One NIF at a Time with Elixir Sakshi Verma | Senior Software Engineerhttps://www.linkedin.com/in/sakverma Functional, concurrent language built for scalability. Ideal for managing managing large-scale cloud applications. Built on the Erlang VM, ensuring resilience and fault tolerance. What is Elixir?https://www.linkedin.com/in/sakverma The Smooth Sailing…https://www.linkedin

Curve integrate to Cloud NativeCurve intro • Curve is an distributed storage system • High performance • Easiser operation • Cloud native • Curve is composed of two parts • Curve Block Storage Storage (CurveBS) • CurveBS: a high performance cloud native distributed block storage • Curve File System (CurveFS) • CurveFS: a high performance cloud native file system (Based on CurveBS / S3 compatible recovery • MDS / ChunkServer should respect failure domains of Kubernetes • Support for public cloud environments • Dashboard-driven configuration after minimal Curve installFeature list for cluster

MySQL 客户 端连接。如果现有的业务已经基于 MySQL 开发，大多数情况不需要修改代码即可直接替换单机的 MySQL。 包括现有的大多数 MySQL 运维工具（如 PHPMyAdmin, Navicat, MySQL Workbench 等），以及备份恢复工 具（如 mysqldump, mydumper/myloader）等都可以直接使用。 不过一些特性由于在分布式环境下没法很好的实现，目前暂时不支持或者是表现与 复制流程。为了避免系统出现被卡住的情况，我们对事务的大小做了限制： 单条 KV entry 不超过 6MB KV entry 的总条数不超过 30w KV entry 的总大小不超过 100MB 在 Google 的 Cloud Spanner 上面，也有类似的限制。 导入数据的时候，可以分批插入，每批最好不要超过 1w 行。 对于 insert 和 select，可以开启 set @@session.tidb_batch_insert=1; how、 insert、select 等。 Statement OPS 只统计 select、updat、insert 等业务相关的，所以 Statement OPS 的统计和业务比较相 符。 Cloud TiDB 目前已经在腾讯云、UCloud 上线，都是数据库一级入口，欢迎大家使用。 请求 PD 超时，请检查 PD Server 状态/监控/日志以及 TiDB Server 与 PD Server

Internal Combustion Engine Flight Synthetic Fertilizer Transistors PCs Internet Smartphones Cloud12 …Technology Compounding Over Fifty-Plus Years = Better + Faster + Cheaper → More Note: PC units base as of 2010. Mobile internet units are the installed based of smartphones & tablets in 2020. Cloud & data center capex includes Google, Amazon, Microsoft, Meta, Alibaba, Apple, IBM, Oracle, Tencent Trillion Enterprise Impact’ via Morgan Stanley (10/23) Enabling Infrastructure CPUs Big Data / Cloud GPUs Computing Cycles Over Time – 1960s-2020s, per Morgan Stanley Note: Axis is logarithmic;

Curve High performance Cloud native Distributed storage system https://www.opencurve.io/Agenda • What is Curve • Use Cases • CurveBS • Key Features • Comparing to Ceph • CurveFS • Comparing Storage (CurveBS) • CurveBS: a high performance cloud native distributed block storage • Curve File System (CurveFS) • CurveFS: a high performance cloud native file systemUse Cases • Container Data apps(middleware/bigdata/ai) • Data backupContainer • Aggregates underlying storage in the cloud (AWS EBS, AWS S3, AWS Glacier, aliyun EBS, aliyun OSS) or on-prem (baremetal, HDFS, OSS) and turns

人员变化：没有知识沉淀导致的 不稳定因素 4 环境变化：因安全、流量、故障、环境崩 溃、底层IT变更而变带来的不稳定因素 非云原生：无法对应变 化=稳定性无法保证 云原生：主动对应变化= 稳定性保证 什么是云原生(Cloud Native Computing)->为云而生 只有为云而生的应用才 是云原生应用 2 0 1 9 年 云 原 生 爆 发 成 为 主 攻 方 向 2 0 1 5 年 P i v o t a 码上 Spring Cloud • Spring-Cloud-Netfix • Spring-Cloud-Sleuth • Spring-Cloud-Gateway • Spring-Cloud-Bus • Spring-Cloud-Consul • Spring-Cloud-Config • Spring-Cloud-Security • Spring-Cloud-.... Netfilex 事实上目前业界也开始出现这个趋势，而融合的方式有两种： • 在 Serverless 中引入 Service Mesh：典型如 Knative 项目和 Knative 的 Google Cloud 托管版本 Google Cloud Run，通过引入对容器的支持和使用 Istio， Knative 将 Serverless 的支持扩展到 Function 之外，在极大的扩展 Serverless 适用范围的前提下，也将服务间通讯的能力引入到

In code Snippet 1 I am using the langchain framework for Python, together with VertexAI (google-cloud-aiplatform) and the google-search-results pip packages. Prompt Engineering February 2025 38 To run if you are more concerned about confidentiality, you can write these prompts within your Google Cloud account and open Vertex AI Studio. The advantage of Vertex AI Studio is that you can configure the html. 3. Google Cloud, 2023, Introduction to Prompting. Available at: https://cloud.google.com/vertex-ai/generative-ai/docs/learn/prompts/introduction-prompt-design. 4. Google Cloud, 2023, Text Model

对云原生架构与技术、研发流程、团队文化有深入研究，对 Spring Cloud、 Service Mesh 等微服务治理框架有丰富实践经验2/总页数 /01 /02 /03 Service Mesh 与 Spring Cloud 应 用的互通、共治 注册中心与 高可用方案 通过治理策略 保证服务高可用3/总页数 Service Mesh 与 Spring Cloud 应用的互通、共治 /014/总页数 优点 优点 • 微服务架构的集大成者 • 轻量级组件 • 开发灵活、简便 • 社区生态强大、活跃度高 Spring Cloud 的优缺点 缺点 • 仅适用于 JAVA 应用、Spring Boot 框架 • 侵入性强 • 升级成本高、版本碎片化严重 • 内容多、门槛高 • 治理功能仍然不全5/总页数 优点 • 微服务治理与业务逻辑解耦 • 异构系统的统一治理 • 三大技术优势： • 可观察性 Istio-Handbook：Service Mesh 概述6/总页数 互联互通，平滑迁移 Spring Cloud & Dubbo Service Mesh Monolithic 混合微服务架构 Microservices • 微服务 & 单体 • Spring Cloud & Service Mesh7/总页数 运行时支撑服务 • 服务注册中心 • 服务网关 • 配置中心

High performance Cloud native Distributed storage system https://www.opencurve.io/Agenda • CurveBS Architecture • CurveBS Topology • CurveBS Data Organization • MetaData Server (MDS) • ChunkServer ChunkServer • Client • CurveBS IO processing flow • CurveBS Performance considerations • Cloud NativeAgenda • CurveFS Architecture • CurveFS Data Organization • CurveFS file Organization • polardb for postgresql using CurveBS • Cloud-native support for CurveBS • CurveBS clusters and related monitoring services can be configured using CRDs in public cloud and on- premises environments •

CURVE: a High-performance Software-Defined storage for Cloud Native applications Xiang Dong Architect, Netease Hangzhou Research InstituteAgenda � Why develop storage Design objectives Achievements Requirements for elastic block storage ● Requirements for file systemopen-source storage ● Requirements ○ Cloud Native ○ Easy operation and maintenance ○ High performance ● CEPH ○ Complex and Large amount of Design objectives ● Thin provisioning storage pools ● High performance ● Easy maintenance ● Cloud NativeAgenda Why develop storage Design objectives � Achievements in CURVE Key designs used by