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.
- 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
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