2025年云技术趋势报告：揭开云计算的未来图景

Dr. Magesh Kasthuri, Vishnu Vardhan Yalala,Veerabadrachari R, Vasudha Mishra, Anuj Mehra and SourabhChordiya December 2024 Trend report from DMTS Community Table OfContents INTRODUCTION.........................................................................................2MULTI-CLOUD AND HYBRID CLOUD SOLUTIONS (FUTURE IS HYBRID)2EDGE COMPUTING....................................................................................4SERVERLESS COMPUTING......................................................................10ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING INTEGRATION11CLOUD SECURITY, COMPLIANCE AND RESILIENCY..............................16CLOUD-NATIVE APPLICATIONS.............................................................18QUANTUM COMPUTING INTHE CLOUD................................................21CLOUD-BASED DEVSECOPS AND AUTOMATION..................................23GREEN CLOUD COMPUTING (SUSTAINABILITY ORGREEN IT)............27SOVEREIGN CLOUD.................................................................................28INDUSTRIAL CLOUD................................................................................29CONCLUSION...........................................................................................31REFERENCES............................................................................................31 Introduction The ever-evolving landscape of cloud technology continues to shape the future of businesses, drivingdigital transformation and innovation. As we approach 2025, several key trends are poised to dominatethe cloud technology arena, emerging with renewed vigor from 2024. Cloud technology is not new ageand its one of the technology which emerges in the last decade continuously to keep itself up-to-the-mark of the expectations of the industrial need and digital transformation trends. Cloud trends is a threedimensional approach such as •Hyperscalers introduced new services and enhancements in the existing services in the last fewyears to keep them up in the market demand and meet customer needs at scale•Domain expectations builds usecases which are industryspecific and thus introducing domaincentric advancements like Industrial cloud and•Combinational technology solutions like Data centric cloud services, Generative AI cloud servicesand Quantum cloud services. This research report delves into the top tencloud trends expected to make a significant impact, supportedby insights from leading analyst reports such as Gartner, Forrester, Everest, and IDC. This report is distinctin that the authors bring the trend analysis from Analyst reports point of view ashorizontal view andunderstanding on business trends from customers as vertical view. Multi-Cloud and Hybrid Cloud Solutions (Future is Hybrid) We can understand that there are many factors influencing the decision including Geo spread Customerportfolio and IT teams, distributed technology stack of applications, reusability of hybrid services forgradual cloud adoption of multiple applications in the estate to name a few. In a Multi-cloud architecture, three most commonly used pattern, which can influence to choose Multi-cloud solutions as explained below three most commonly: Data oriented multi-cloud architecture–This is a heterogeneous pattern, where enterprise choose multi-cloud based on suitability of data sources. For example, if the application estate has Oracle, Postgre,MySQL, MSSQL and customer prefers not to do actual DB transformation (Oracle to MSSQLor MSSQL toPostgre), then we can choose applications with Oracle, Postgre, MySQL to go to AWS (where Oracle toPSQL is quite easy in AWS/Azure) and MSSQL based apps can go to Azure. For applications (batch, real-time analytics) using NoSQL database platforms are quite suitable to moveto any CSP (eg: MongoDB, Hadoop Cluster) and only cost comparison (for selected region(s), zone(s)) canbe compared for multi-cloud adoption. Service oriented multi-cloud architecture–This is a homogeneous pattern, where enterprise choose multi-cloud based on business applications including services, API layers and processing logic (functions) wherecross service communication across CSP and centralized service availability for multi-cloud is alsopossible. For example,a polyglot Microservice groups can be migrated to AWS, Azure, GCP dependingon service usage and need (eg: Apigee services can go to GCP, Service orchestration using Fabric can goto Azure and Hub services can goto AWS). Process oriented multi-cloud architecture–This is a hybrid pattern, where enterprise choose multi-cloudbased on combination of Data oriented apps or service oriented apps or in combination of both. They areonly concerned about the ease of portability to cloud and flexibility in implementation. For example, ERP or SAP Hana apps can be migrated to AWS along with services, Frontend apps can runon Azure and at the same time, Batch processing with Analytics and reporting can run on GCP. Distributed