The document discusses challenges with big data including its large size and complexity. It advocates for new approaches to work with data including visualizing data dynamics over time. Semantic data models and automated analysis of dependencies are needed to understand problems and their causality chains. Chatbots are proposed as a way to interact with monitoring tools by talking to machines like a human through natural language conversations. Advanced natural language processing is required for chatbots to be based on knowledge and guide interactions proactively.

1. Make your data talk
Alois Reitbauer, Dynatrace
@aloisreitbauer

2. A brief introduction to what we do

4. Big data means really big amounts of
data

6. ... and the data is messy

7. Problems tend to become complex
820 Billion dependencies
Network Problem
Mushroom cloud
effect

8. New paradigms require new
approaches to work with data

9. You build it, you run it.
Werner Vogels, CTO Amazon

10. Visualisations needs to get simpler

11. A graphic says
more than
thousand
words

12. The truth is often in how data
changes over time

13. Visualize data
dynamics

14. We need answers, not just data

15. Semantic data
models are
required

16. Real world
discovery of
data and
dependencies

17. We need to teach machines what to
do with the data

18. Service slowdown
Automated Analysis of Problems

19. Service slowdown
Dependent services slow down
Automated Analysis of Problems

20. Service slow down
Dependent service slow down
Users are affected
Automated Analysis of Problems

21. Service slow down
Dependent service slow down
Users are affected
Analyze Dependencies
Automated Analysis of Problems

22. Service slow down
Dependent service slow down
Users are affected
Analyze Dependencies
Exclude non-relevant services
Automated Analysis of Problems

23. Service slow down
Dependent service slow down
Users are affected
Analyze Dependencies
Exclude non-relevant services
Follow causality chain
Automated Analysis of Problems

24. Service slow down
Dependent service slow down
Users are affected
Analyze Dependencies
Exclude non-relevant services
Follow causality chain
Automated Analysis of Problems

25. This becomes very powerful and
saves a lot of time

27. Going beyond traditional user
interfaces

28. The Turing test is a test of a machine's ability to
exhibit intelligent behavior equivalent to, or
indistinguishable from, that of a human. Alan
Turing proposed that a human evaluator would
judge natural language conversations between a
human and a machine that is designed to
generate human-like responses.

29. Chatops – talking to monitoring tools

30. Chatops – talking to monitoring tools

31. Talk to machines like a human

32. *Simple* bots are based on pattern
matching

33. Advanced NLP functionality needed

34. Interactions must be based on
knowledge

35. Proactively guide interactions in the
right direction

36. Demo

37. Thank you!
Alois Reitbauer, Dynatrace
alois.reitbauer@ruxit.com
@aloisreitbauer