Operations | Monitoring | ITSM | DevOps | Cloud

In this workshop we’ll work together to generate embeddings for podcast transcriptions and load that data into OpenSearch. Then we’ll search the documents using similarity search and use those results to improve our responses from an LLM (Large Language Model). Along the way we’ll explain the Retrieval Augmented Generation (RAG) pattern and show how it’s possible to try different LLMs without having to completely rewrite your code.

Learn how to identify a data collection strategy that best fits your environment and implement best practices around data collection using Sumo Logic.

ServiceNow is the AI platform for business transformation. Did you know 85% of Fortune 500 companies run on ServiceNow? With the Now Platform, teams can tap into AI to connect and automate the work that moves their business forward. #PutAIToWork.

With our new Team mode in Launchpad, you can quickly view your entire Workspace, monitor pull requests, and track progress instantly. Perfect for engineering managers and team leads to stay updated and aligned!

Reliability and resiliency are getting more and more important. Is your organization ready? "Our digital infrastructure is going to be almost as important as our physical infrastructure. And when it fails, it's going to be a big deal. Like when a huge bank has a multi-day outage, when it impacts travel, safety, military, finance, government, those things are going to be much more important than they have been in the past.

This video provides an overview of Event Management in SL1. It goes over specific features such as viewing events, acknowledging and clearing events, understanding the way events are ranked on the event console, finding out more information about each event, and how we can automate actions to address particular events.

In this video, Grafana Developer Advocate Leandro Melendez shows how you can get Grafana OSS up and running in macOS.

Sentry’s User Feedback gives your users an easy way to provide direct input on problems they encounter on your site – whether that be a frontend error, broken link, or misleading label – to help get context into a known error or catch an issue that can only be spotted in the UX. This simple widget can be customized to match your site’s look and feel and embedded non-intrusively. Learn how to set it up with this step-by-step demo.

Join Rishit Dagli as he explores effective observability for ML pipelines at scale. Learn about the critical differences between observability and monitoring in ML applications, common challenges like distribution shifts, and feedback loops. Rishit demonstrates practical methods for logging and interpreting various metrics to maintain model performance and reliability.

How does the usefulness of auto-instrumentation differ for the #frontend versus the #backend?