How to Architect and Design Cloud-Native Applications


Published: 29 December 2015 ID: G00296114

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Summary

Cloud computing benefits are realized by implementing a solution with elastic scalability, metered consumption and automation, not by simply using IaaS or PaaS. IT architects must adopt cloud-native principles and design patterns such as microservices and understand the impact of design decisions.

Table of Contents

  • Problem Statement
  • The Gartner Approach
  • The Guidance Framework
    • Prework: Define Cloud-Native Application Adoption Goals
    • Step 1: Map Cloud Adoption Goals to Cloud Characteristics
      • Characteristic 1: Uses Dynamic, Shared and Virtual Infrastructure
      • Characteristic 2: Offers a Service in an On-Demand, Self-Service Model
      • Characteristic 3: Scales Rapidly and Elastically
      • Characteristic 4: Meters Consumption
      • Characteristic 5: Available Across Common Networks
    • Step 2: Map Cloud Characteristics to Cloud Architecture Principles
      • Principle L: Latency-Aware
      • Principle I: Instrumented
      • Principle F: Failure-Aware
      • Principle E: Event-Driven
      • Principle S: Secure
      • Principle P: Parallelizable
      • Principle A: Automated
      • Principle R: Resource-Consumption-Aware
    • Step 3: Choose Design Patterns That Implement Architecture Principles
      • Actor Model
      • Asynchronous Integration
      • Autonomous
      • Bulkhead and Circuit Breaker
      • Command Query Responsibility Segregation (CQRS)
      • Containerization
      • Content Delivery Networks
      • Data Replication
      • Encryption
      • Event Sourcing
      • Eventual Consistency
      • Federated Identity
      • Finely Grained Components and Services (Microservices)
      • Gatekeeper
      • Idempotency
      • In-Memory Data Caching
      • Interoperable Application Programming Interfaces (APIs)
      • Lazy Loading
      • Mediation Points
      • Partitioning Data
      • Redundancy
      • Restartable
      • Separating Business Logic From Infrastructure Concerns
      • Shared Nothing
      • Simplification
      • Stateless Services
      • Template-Driven Deployment
      • Throttling
      • Valet Key
      • Workload Decomposition
    • Step 4: Choose IaaS and PaaS Based on Design Pattern Implementation Responsibilities
  • Risks and Pitfalls
    • Avoid Cloud Design Anti-Patterns
      • ACID Transactions
      • Chatty Interactions
      • Complex Dependencies
      • Direct Code-to-Runtime Relationship
      • Hardware Affinity
      • Latency Guarantees
      • Manual Provisioning Workflow
      • Monolithic Design and Deployment
      • Resource Hogging
      • Scalability by Application Server Clustering
      • Scalability by Scaling Vertically
      • Single Points of Bottleneck
      • Single Points of Failure
      • Single Tenancy
      • Single-Threaded, Serial Execution
      • Stateful Services
      • Synchronous Interactions
    • Delegate Responsibility for System Behavior to Cloud Providers or Platforms
    • Increase Complexity as You Distribute Your System
    • Be Aware of Cloud Market Evolutionary Risk
    • Related Guidance
  • Gartner Recommended Reading
© 2015 Gartner, Inc. and/or its Affiliates. All Rights Reserved. Reproduction and distribution of this publication in any form without prior written permission is forbidden. The information contained herein has been obtained from sources believed to be reliable. Gartner disclaims all warranties as to the accuracy, completeness or adequacy of such information. Although Gartners research may discuss legal issues related to the information technology business, Gartner does not provide legal advice or services and its research should not be construed or used as such. Gartner shall have no liability for errors, omissions or inadequacies in the information contained herein or for interpretations thereof. The opinions expressed herein are subject to change without notice.

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