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Introduction

Organizations have embraced agile and DevOps development practices, and innovation continues. Cloud-native computing brings microservices architecture and containers to the fore. The ecosystem to manage, schedule, and orchestrate all these components on cloud infrastructure has grown considerably.

Highlights

  • The cloud native tools jungle needs a guide.

Features and Benefits

  • Identify how AI can help developers, testers, and operators be more efficient.
  • Learn how ALM and DevOps integration completes true end-to-end lifecycle management.

Key questions answered

  • What is AIOps?
  • Why has the field of no-code/low-code grown in recent years?

Table of contents

Summary

  • Catalyst
  • Ovum view
  • Key messages

Recommendations

  • Recommendations for enterprises
  • Recommendations for vendors

The cloud-native tools jungle needs a guide

  • CNCF hosts about 18 projects in a broader landscape of some 500 tools
  • Cloud-native development penetration into the enterprise is growing fast among digital transformation converts

AI can help developers, testers, and operators to be more efficient

  • AI is bringing automation into user interface testing
  • AI is assisting application development and IT operations

ALM and DevOps integration provides true end-to-end lifecycle management

  • The future of ALM and DevOps tools

No-code/low-code development studios are on the rise

  • Development studios are breaking out from their niche

Appendix

  • Methodology
  • Further reading
  • Author

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