Pdx™ 蓝图：使用 AWS Outposts 优化数据交换

PDx™ BLUEPRINT: OPTIMIZE DATA EXCHANGEWITH AWS OUTPOSTS INTRODUCTION:Data is at the center of the digital economy. Companies that are able to monetize data or harvest intelligence from data are capturing more market share than their peers. Traditional IT architecturesare performance-constrained, exhibit higher total cost of ownership, struggle to maintain compliance and cannot easily integrate data analytics into workflows. For many organizations, modernization begins with thejourney to the cloud. Challenges like unlocking access to data and maintaining compliance can still exist. To address those challenges, AWS has introduced Outposts™ to allow for on-premise deployments of AWScloud capabilities. This solution, when coupled with a Data Hub can reduce complexity, accelerate Hybrid-IT adoption, and integrate new data-driven business capabilities in centers of data exchange. Current State Future State Data architecture and governance notdesigned for multi-region workflows,increasing risk of compliance issues3 Inconsistent global implementationsbased-on legacy architectures result inperformance challenges and increased risk Accelerate hybrid-IT capabilities with aconsistent global implementation, whichreduces execution risk1 Securely operationalize regional dataprovider ecosystems while maintainingdata compliance and reducing multi-vendor integration risk3 Complex and non-performant cloudaccess methods limit effectiveness ofcloud storage models and drives upstorage total cost of ownership Reduce complexity of cloud storageintegration while optimizing data storageprice/performance2 Deploy data services faster to enable newdata-driven business capabilities, includinganalytics and AI in global workflows4 SOLUTION STEP 3 HOST DATA AND ANALYTICSADJACENT TO NETWORKINGRESS/EGRESS STEP 1 IMPLEMENT DATA STAGING/AGGREGATION STEP 2 INTEGRATE PUBLIC/PRIVATEDATA SOURCES Distributed Localized Hybrid-IT Capabilities ACTIONImplement AWS Outposts on Data Hub in centers of dataexchange ACTIONDistribute business intelligence and connect global data ACTIONDirectly interconnect Data Hub to AWS and to local or ecosystems with locally-hosted AWS analytics tools DATA HUB DATA HUB +Select Outposts based on workload profile+Deploy Outposts at centers of data exchange+Solve global coverage and capacity needs +Enable data processing, analytics, and streaming capability at globalpoints of business presence+Accelerate development of new business capabilities by leveragingthe AWS Outposts roadmap to rapidly introduce new analytics tools atcenters of data exchange +Implement data exchange between users, things, networks and clouds+Operate deployments as a seamless extension of global infrastructurewith consistent experience, security and resiliency+Validate interconnection capacity, performance and destinations OUTCOME+Reduce IT vulnerability points and improve security posture OUTCOME+Achieve optimal data storage price/performance OUTCOME+Consistent global implementation +Accelerate Hybrid IT capabilities+Reduce execution risk +Deploy telemetry and apply policy at points of ingress/egress+Reduce operational complexity and simplify infrastructure management +Reduce complexity of integrating traditional storage with cloud+Securely integrate data provider ecosystems and minimize datacompliance risk STEP 1: IMPLEMENT DATA STAGING/AGGREGATION 1.Deploy centers of data staging in key locations, selecting for both current and future capacity needs and global business coverage2.Prepare legacy Data Lakes to store raw data for analysis and curation by data scientists3.Enable Data Warehouse for business professionals to use refined data4.Strictly control access to high value and sensitive enterprise data; monitor and log activity5.Integrate AWS Outpost with foundational data services OUTCOME+Consistent global implementation STEP 2: INTEGRATE PUBLIC/PRIVATE DATA SOURCES 1.The Core Switching infrastructure terminates connectivity into the Data Hub and enables access to the cloud and other datasources by direct high-performance interconnection2.Additional connectivity is provided by use of software-defined on-ramps3.Other data sources can be cloud storage, IaaS environments, SaaS environments, or other remote Data Hubs OUTCOME+Achieve optimal data storage price/performance +Reduce complexity of integrating traditional storage with cloud+Securely integrate data provider ecosystems and minimize datacompliance risk STEP 3: HOST DATA AND ANALYTICS ADJACENTTO NETWORK INGRESS/EGRESS +Enable data processing, analytics, and streaming capability at globalpoints of business presence+Accelerate development of new business capabilities by leveragingthe AWS Outposts roadmap to rapidly introduce new analytics tools atcenters of data exchange 1.Deploy cloud-native applications locally in centers of data exchange2.Deploy proprietary business applications adjacent to foundational data services3.Enable high-performance databases and