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Continuous Architecture in Practice

- Software Architecture in the Age of Agility and DevOps

About Continuous Architecture in Practice

In Continuous Architecture in Practice, three leading software architecture experts update the classic practices of the discipline for contemporary environments, software development contexts, and applications. Coverage includes: Discover what has changed, and how the role of the architect must change Reflect the quality attributes of today in evolvable architectures Understand team-based software architecture, and architecture as a GÇ£flow of decisionsGÇ¥ Architect for security, including continuous threat modeling and mitigation Explore architectural opportunities to improve performance in continuous delivery environments Architect for scalability, avoid common scalability pitfalls, and scale microservices and serverless environments Improve resilience and reliability in the face of inevitable failures Architect data for NoSQL, big data, and analytics Use architecture to promote innovation: case studies in AI/ML, chatbots, and blockchain

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  • Language:
  • English
  • ISBN:
  • 9780136523567
  • Binding:
  • Paperback
  • Pages:
  • 352
  • Published:
  • June 28, 2021
  • Dimensions:
  • 231x179x25 mm.
  • Weight:
  • 602 g.
  In stock
Delivery: 3-5 business days
Expected delivery: May 26, 2024

Description of Continuous Architecture in Practice

In Continuous Architecture in Practice, three leading software architecture experts update the classic practices of the discipline for contemporary environments, software development contexts, and applications. Coverage includes:
Discover what has changed, and how the role of the architect must change Reflect the quality attributes of today in evolvable architectures Understand team-based software architecture, and architecture as a GÇ£flow of decisionsGÇ¥ Architect for security, including continuous threat modeling and mitigation Explore architectural opportunities to improve performance in continuous delivery environments Architect for scalability, avoid common scalability pitfalls, and scale microservices and serverless environments Improve resilience and reliability in the face of inevitable failures Architect data for NoSQL, big data, and analytics Use architecture to promote innovation: case studies in AI/ML, chatbots, and blockchain

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