Michał Jankowski - Artificial intelligence in applications, i.e. how to easily add AI to your solutions
Have you ever thought about extending your application with functionalities related to AI? Currently, it can be done very simply. During the lecture, we will learn about Azure Cognitive Services. We will learn about its most important functionalities, including image, voice, handwriting and even people recognition. I will try to convince you that a small change in the way of thinking is enough to be able to easily use the predefined functionalities. I will also demonstrate how to add them to the application.
Marta Musik - 5 reasons why developers do not buy in the observability hype
Do observation tasks have to be boring, tedious and tiring?
During my speech, I will talk about typical solutions used to monitor applications built on the basis of microservices. I will use an example of a Java application running on the Google Kubernetes Engine. With its help, I will demonstrate the challenges associated with monitoring microservices: "high churn", "high cardinalitylabeling", problems with rarely reported metrics, and potential difficulties in choosing a sampling strategy.
I will tell about monitoring and tracing both from the perspective of a programmer who would like to keep the code clean, and an architect who tries to meet the requirements of observability, but at the same time does not want the team implementing them to forever fight with the tools he chose. In the end, I also comment on the trend "observability as a code".
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