Observability

•Jun 21, 2023

ChatGPT and Elasticsearch: APM instrumentation, performance, and cost analysis

In this blog, we'll instrument a Python application that uses OpenAI and analyze its performance, as well as the cost to run the application. Using the data gathered from the application, we will also show how to integrate LLMs into your application.

Luca Wintergerst

All Articles

ChatGPT and Elasticsearch: Faceting, filtering, and more context

Generative AI

•Jun 21, 2023

ChatGPT and Elasticsearch: Faceting, filtering, and more context

By providing tools like ChatGPT additional context, you can increase the likelihood of obtaining more accurate results. See how Elasticsearch's faceting and filtering framework can allow users to refine their search and reduce costs.

Luca Wintergerst

Generative AI

•Jun 22, 2023

Logs: Understanding TLS errors with ESRE and generative AI

This blog presents a novel application of the Elasticsearch Relevance Engine (ESRE) with its Elastic Learned Sparse Encoder capability, specifically in log analysis.

David Hope

Monitor OpenAI API and GPT models with OpenTelemetry and Elastic

Generative AI

•Jun 21, 2023

Monitor OpenAI API and GPT models with OpenTelemetry and Elastic

Get ready to be blown away by this game-changing approach to monitoring cutting-edge ChatGPT applications! As the ChatGPT phenomenon takes the world by storm, it's time to supercharge your monitoring game with OpenTelemetry and Elastic Observability.

David Hope

Open-sourcing sysgrok — An AI assistant for analyzing, understanding, and optimizing systems

ML Research

•Jun 28, 2023

Open-sourcing sysgrok — An AI assistant for analyzing, understanding, and optimizing systems

Sysgrok is an experimental proof-of-concept, intended to demonstrate how LLMs can be used to help SWEs and SREs understand systems, debug issues, and optimize performance.

Sean Heelan