Daniel Drahnak

Paul Anderson photo

Technical Product Manager
Dynatrace

Daniel is a Technical Product Manager at Dynatrace responsible for leading teams that develop innovative customer experiences for the Dynatrace AI-powered software intelligence platform. He is the product owner for Enterprise search, Dynatrace Davis Assistant, a natural language virtual assistant, and support applications increase engagement and customer satisfaction. With over 20 years in IT and a background in business, Daniel has a successful track record and passion for bringing new products & features from concept to successful market adoption. 

 

Daniel Drahnak is speaking at the following session/s

Virtual Assistants in the Modern Workplace

Wednesday | 2:40PM - 3:00PM |

Gartner reports that by 2021, 25% of digital workers will use virtual assistants on a daily basis to alleviate the complexity and time constraints facing IT organizations today. In this session, Daniel Drahnak discusses the journey taken by Dynatrace to develop Davis Assistant, an intelligent personal assistant that interfaces with common voice and messaging applications enabling convenient access to complex data insights from the Dynatrace software intelligence platform.

Audience Takeaway
Attendees of this session will benefit from a better understanding of the opportunity and requirements for developing a virtual assistant and gain real world insight in the practical value of common use cases.

Intended Audience
Business leaders, product managers, and engineers interested or planning to develop a virtual assistant.

Level:
All Levels

Synchronizing Clusters in Fusion: CDCR and Streaming Expressions

Wednesday | 2:20PM - 3:00PM | Columbia 8

Synchronizing a search application across multiple clusters is a complex challenge and the solution evolves with our tools (Solr and Fusion AppStudio). Paul Anderson discusses how Dynatrace's cluster synchronization strategy changed over the last two years to ensure that customers worldwide have a consistent search experience. The talk focuses on two Solr features, CDCR, and Streaming Expressions, explaining what they do well, where they fall down, and where they need to improve. Paul also covers how to modify your index pipelines and signal aggregations to support cluster synchronization.

Audience Takeaway
If your Fusion deployment is expected to grow to multiple clusters, or you already have multiple clusters that are isolated on their own islands, this talk will show you a way to provide a consistent worldwide search experience for your users.

Intended Audience
The talk targets search engineers who have (or will have) multiple clusters in their search deployments, especially those that want to recommend queries and boost results based on user history.

Level:
All Levels