Cloud Native Apps
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This document discusses cloud-native applications and serverless computing. It begins with an introduction to cloud-native applications and core technologies like containers, orchestrators, and microservices. Examples are then given of how companies like Fujifilm and ASOS have benefited from serverless architectures on Azure. The document concludes with an overview of Azure serverless services like Functions, Event Grid, Cosmos DB, and Logic Apps and a sample serverless application architecture diagram.
Cloud Native Apps
- 1. Cloud-Native Applications Born in the cloud
- 2. Agenda 1. Cloud-native 2. Serverless 3. Use Cases 4. Sample Architecture 5. Wrap-up David Chou Architect Zac Hall Technical Evangelist
- 3. Application Experience Application Architecture What is Cloud-Native? Cloud-Native Applications, born in the cloud Cross-Device Cross-Platform Intelligent and Data-driven Immersive and Personal Containers Orchestrators Microservices Serverless DevOps
- 4. Serverless Different paths - one journey to the cloud Redeploy as-is to cloud • Reduce Capex. • Free datacenter space. • Quick cloud ROI. IaaS IaaS: 435% ROI, 73% reduction in datacenter footprint and 83% reduced IT outsourcing cost. Minimally alter to take better advantage of cloud • Faster, smaller updates. • Code portability. • Greater cloud efficiency (resources, speed, cost). Containers PaaS: 466% ROI, 80% time saved, 5.91M NPV, 50% faster deployments. Containers: 13x more releases, 10x cost reduction, 65% faster developer onboarding, 62% better availability. PaaS Materially alter/decompose application to services • App scale and agility. • Easier adoption of new cloud capabilities/technologies. • Mix technology stacks. New code written with Cloud-Native approach • Accelerate innovation. • Build apps faster. • Reduce operational cost. Description Business drivers Core technologies Business results SaaSCloud-Native Rehost Refactor Rearchitect Rebuild Replace Migration & Modernization App Data Infrastructure
- 5. • Serverless computing is a cloud-computing model in which the allocation of resources is managed by the cloud provider, dynamically and transparently. • Server management and capacity planning decisions are completely hidden from the developer or operator. • Pricing is based on the actual amount of resources consumed by an application. Serverless – focus on code and data, not plumbing
- 6. Serverless benefits Time to Market Micro billing Reduced DevOps
- 7. Azure serverless application platform
- 8. Azure Functions An event-based, serverless compute experience that accelerates app development
- 9. Azure Event Grid A fully managed event routing service, connecting serverless logic to events from multiple sources Eliminate polling—and the associated cost and latency Build reliable apps and services through reactive programming Enable richer scenarios by connecting multiple event sources and destinations Support for open CloudEvent standard
- 10. Azure Cosmos DB A multi-model database service with transparent scaling and globally distributed data replication Turnkey global distribution Elastic scale out of storage & throughput Guaranteed low latency at the 99th percentile Five well-defined consistency models Enterprise-grade performance and security Comprehensive SLAs
- 11. Azure Logic Apps Build rich serverless workflows to integrate apps, data, systems, and services Visually design workflows in the cloud Express logic through powerful control flow Connect disparate functions and APIs 200+ connectors for various cloud services and APIs Utilize declarative definition to work with CI/CD
- 12. Use Cases
- 13. FUJIFILM Customer need FUJIFILM built an image management and sharing service, called IMAGE WORKS, that handles more than a terabyte of data each day. FUJIFILM was looking to improve the customer experience by providing better reliability and lower latency. A secondary goal was to rearchitect the service in a way that allows for adding enhancements more quickly and at a faster cadence. Results • By moving to a serverless infrastructure, latency was reduced by 95%, development time was reduced by 75% and service reliability improved. • The development team is now able to add new features and release faster and more frequently without disrupting the existing service, improving service uptime and customer satisfaction. Source: https://customers.microsoft.com/en-us/story/fujifilm-software- co-ltd
- 14. FUJIFILM Azure Services API Management App Service Cognitive Services Cosmos DB Functions Search Storage
- 15. ASOS Customer need London-based ASOS is an online fashion retailer who offers a broad selection—85,000 items with 5,000 new ones added each week. It needs a recommendations platform to help its more than 15 million customers discover new products that they’ll love. Results • The microservices architecture’s high scalability and fast performance translated to more sales, peaking at 22 orders per second on Black Friday and 33 per second on the following Cyber Monday • The development team has gained the flexibility to divert resources to services that bring a competitive edge to the company, and release new features faster (e.g., 1,300 release in one quarter, vs. 490 in one year) Source: https://customers.microsoft.com/en-us/story/asos-retail-and- consumer-goods-azure
- 16. ASOS Azure Services Cosmos DB Data Factory Data Lake Store Event Hubs Functions HDInsight Service Fabric SQL Database “We chose Azure Cosmos DB because of its global distribution and ability to handle heavy seasonal bursts like Black Friday.” Bob Strudwick Chief Technology Officer ASOS
- 17. Azure Services Active Directory App Service Cloud Services Cosmos DB DNS HDInsight Service Bus SQL Database Storage (Blob, Queues, Tables) Virtual Machines Azure Services App Service Cloud Services Functions Redis Cache Service Bus SQL Database Storage Traffic Manager Azure Services API Management Cosmos DB Event Hubs Functions Key Vault Azure Services API Management App Service Application Insights DevOps Functions Key Vault Redis Cache Service Fabric Storage Virtual Machines Virtual Network Windows Server Containers
- 18. Walkthrough Sample Serverless Application Architecture
- 19. Monolithic Architecture – Web Application App Server / process File Storage Database Server File Storage Web Server
- 20. Serverless Architecture – Web Application
- 21. Serverless Architecture – Web Application
- 22. Next steps Learn more about cloud-native applications https://azure.microsoft.com/en-us/overview/cloudnative/ Learn more about serverless in Azure https://azure.microsoft.com/en-us/overview/serverless-computing/ (or https://azure.com/serverless) Try out Azure Functions (for free and no signup required) https://aka.ms/tryfunctions Try out Azure Cosmos DB (for free and no signup required) https://azure.microsoft.com/en-us/try/cosmosdb/ Learn more about Azure Event Grid https://azure.microsoft.com/en-us/services/event-grid/ Learn more about Azure Logic Apps https://azure.microsoft.com/en-us/services/logic-apps/
- 23. © Copyright Microsoft Corporation. All rights reserved.