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todays observability challenges
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Exploring ChatGPT for Improved Observability
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- 1 intro
- 2 preface
- 3 why do we care about observability?
- 4 modern platforms are ephemeral
- 5 cost of unexpected downtime has risen significantly
- 6 todays observability challenges
- 7 risk of it outages are set to grow even further in 2023
- 8 modern observability solutions
- 9 there is currently a lot of innovation occuring in ai, in particular llm's
- 10 imitate brain-like functionality using deep neural networks
- 11 dnn models are pre-trained from "the whole internet"
- 12 chat gpt
- 13 chat gpt is built on top of latest breakthroughs in language model design
- 14 chat gpt ≠ skynet
- 15 use cases of observability
- 16 keep in mid that chat gpt's responses are non-deterministic
- 17 chat gpt's informed decision making
- 18 prompt engineering is a new discipline
- 19 hyperscalers are investing heavily into gpt's
- 20 so are large models a panacea?
- 21 dynatrace - cloud done right
