Journey to Cloud-Native: Continuous Delivery with Artificial Intelligence

April 19, 2017
Teams building modern apps and microservices are using new techniques to ensure their quality as well as rapid deployment across build, test, and production cycles. This webinar will cover how you can contain post-deployment risk with rapid rollback of poorly performing releases within blue/green deployments by using AI based anomaly detection. This is the second webinar in a series presented by Pivotal and Dynatrace on modernizing your application portfolio to cloud-native. Other searchable webinar segments by title include: - Journey to Cloud-Native: Where to start in your app modernization process - Journey to Cloud-Native: Continuous Delivery with Artificial Intelligence - Journey to Cloud-Native: Making Sense of Your Service Interactions - Journey to Cloud-Native: Reducing Production Risks at Scale About the Speakers: Kamala Dasika has been working on the Cloud Foundry product team since its inception in 2011 and previously held various product or engineering positions at VMware, Tibco, SAP and Applied Biosystems. Mike Villiger helps Dynatrace customers implement Application Performance Management technologies and processes in the worlds of Public/Private Cloud, DevOps, Platform-as-a-Service (PaaS) and NoSQL.
Previous
Cloud-Native Workshop - Santa Monica
Cloud-Native Workshop - Santa Monica

Success Factors for a Mature Microservices Implementation You're likely working actively to modernize appl...

Next
Orchestration Patterns for Microservices with Messaging by RabbitMQ
Orchestration Patterns for Microservices with Messaging by RabbitMQ

Companies looking to speed up their software development are adopting microservices architectures (MSA). Bu...