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Introduction

The key application development trends for 2018 are in cloud-native development. Cloud-native refers to a broad approach that combines agile, DevOps, microservices architecture (MSA), containerization of services, and use of the cloud.

Highlights

  • As DevOps becomes mainstream in the enterprise, albeit with DevOps culture still a struggle for many organizations, the move to microservices and away from monoliths is recognized as the way forward to build many internet-scale applications. This report examines the trends happening in the software development world, as cloud-native technologies evolve.

Features and Benefits

  • Explains what reactive programming is and why it benefits cloud-native development.
  • Evaluates the benefits of a portable approach to serverless computing and why this approach will take off in 2018.

Key questions answered

  • What are the options for adopting Kubernetes in the enterprise?
  • What are the options when choosing between microservices and traditional, imperative applications?

Table of contents

Summary

  • Catalyst
  • Ovum view
  • Key messages

Recommendations

  • Recommendations for enterprises
  • Recommendations for vendors

Service mesh and sidecars are important in the evolution of service communications

  • Polyglot is a strength if well managed, otherwise it can mean trouble
  • Envoy and Linkerd: 2017 service mesh highlights
  • The service mesh collects metrics for performance monitoring
  • Tiers of the service mesh: data and control planes

Asynchronous communications in microservices with reactive programming: Java perspective

  • Reactive programming gains momentum
  • Elements of reactive programing are finding use in microservices architecture

Serverless computing will take off with portability

  • Lock-in has been an inhibitor, and open source serverless computing is an essential disrupter

Kubernetes adoption in the enterprise

  • Kubernetes ecosystem is growing at an astonishing pace
  • Cloud P/CaaS 2018: Cloud Foundry and OpenShift

Appendix

  • Author

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