Operations | Monitoring | ITSM | DevOps | Cloud

How do you get developers to instrument their code? You stop asking! Instead, pitch the value of observability by building them dashboards and implementing the no-code change solutions first, demonstrating the value of instrumentation.

In an era where telemetry data grows at a 28% compound rate while budgets remain flat, traditional IT and Security approaches are facing unprecedented pressure. Join our distinguished customer panel as they share their transformative journeys with Cribl's data engine solutions. Our panelists will discuss how Cribl's vendor-neutral portfolio has enabled them to regain control over their data infrastructure, achieving both immediate operational improvements and strategic long-term advantages.

Check out the new exciting features added to Graylog V7.0 Seth Goldhammer VP of Product and Ed Metcalf VP of Product Marketing walk you through the new features!

Graylog V7.0 supports integration with the Model Context Protocol (MCP), which allows large language models (LLMs) to access and interact with Graylog data and workflows in real time. Graylog exposes an MCP-compatible endpoint for LLM clients, such as Claude and LM Studio. MCP integration allows Graylog users to interact with their data through LLMs. With MCP, an LLM can connect directly to Graylog as a remote tool interface, performing queries, retrieving system information, and assisting with common administrative or investigative tasks. This capability may make it possible to.

Without strong visibility and governance, local LLMs risk replicating the fragmented, unsupervised sprawl once seen in shadow IT, complicating security postures and making it difficult for organizations to ensure proper oversight and compliance as these powerful AI tools become embedded in daily workflows. To address this challenge, The Splunk Threat Research Team has released the Splunk Technology Add-on for Ollama that provides comprehensive monitoring and observability capabilities specifically designed for local LLM deployments.

In this episode of Pastries and SREs, we dig into how vendor lock-in and sky-high observability costs are forcing teams to choose between coverage and budget, AND why you shouldn’t have to settle. With donuts in hand, we explore how to take back control of your observability strategy by making it cost-effective, comprehensive, and flexible.

A short demo showing how Logz.io, powered by the AI Agent, helps investigate security incidents by analyzing and correlating data. The AI Agent uses natural language to: Query and correlate SIEM questions with related logs Detect anomalies and highlight unusual activity Summarize findings to speed up root cause analysis Provide recommended actions This video demonstrates a practical SIEM use case for the AI Agent inside Logz.io.