Главная
Study mode:
on
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
Description:
Discover how ChatGPT can enhance observability in this 23-minute conference talk from Conf42 Observability 2023. Explore the importance of observability in modern ephemeral platforms and the rising costs of unexpected downtime. Learn about current observability challenges and innovative solutions, including the application of AI and large language models. Delve into the functionality of deep neural networks and their pre-training process. Examine ChatGPT's capabilities, limitations, and potential use cases in observability. Gain insights into prompt engineering as a new discipline and the significant investments being made in GPT technology by hyperscalers. Evaluate whether large models are a panacea for observability challenges and consider Dynatrace's approach to cloud management.

Exploring ChatGPT for Improved Observability

Conf42
Add to list