Operations | Monitoring | ITSM | DevOps | Cloud

Learn how to standardize data being routed to Google SecOps About observIQ: observIQ brings clarity and control to our customer's existing observability chaos. How? Through an observability pipeline: a fast, powerful and intuitive orchestration engine built for the modern observability team. Our product is designed to help teams significantly reduce cost, simplify collection, and standardize their observability data.

In this talk, we’ll explore the cutting-edge work InfusionPoints has done to process and enrich alerts from Graylog using Amazon Bedrock and advanced Large Language Models (LLMs) from Amazon Titan and Anthropic. Discover how we’ve harnessed the power of AI to elevate the accuracy, relevance, and actionable insights of our security alerts, transforming how we respond to potential threats.

The session is really about customers spending their resources wisely, prioritizing use case development based on blind spots, weaknesses, or maybe even just plain audit findings. We have all been guilty in the past of spending a lot of time building clever use cases just for them to never fire or not work out the way we’d hoped; this talk is aimed at highlighting this issue and teach users to focus their resources and build a strategy for development like any other process they would internally.

A log on its own is pretty simple, but they're rarely alone. Your digital applications, infrastructure and AI keep adding another, and another, and another… For some teams, this exponential data is overwhelming, causing friction, bottlenecks, and even tuning it all out. But at Sumo Logic, we’re FUELED by the atomic level of logs. The Sumo Logic Log Analytics Platform ingests each and every bit of this structured and unstructured “data exhaust,” transforming it into critical fuel for context-driven insights into your performance, availability, security status, and threats.

What worked for the last 10 years won’t work for the next 10. IT and Security teams face three big challenges with telemetry data: Volume: Telemetry data is growing at a 28% CAGR, while budgets remain flat. Compliance requirements demand retaining massive datasets, straining both storage and costs. Variety: Logs, metrics, traces, configs—telemetry data comes in all shapes and sizes, making it difficult for traditional analytics tools to handle. Your tech needs to manage this complexity seamlessly.