Operations | Monitoring | ITSM | DevOps | Cloud

We’re entering a new era where agents will boost productivity and reshape how we handle and analyze telemetry data. This is the before and after moment.

In this session, we will discuss how the University of Pittsburgh was able to modernize their data processing strategy, migrate to a new SIEM solution, and avoid ballooning SIEM costs all within 68 days from the first install of a Cribl product. We will showcase how we were able to use Cribl's software to easily handle the following scenarios: 100% agent replacement and consolidation using Cribl Stream Workers and Edge.

Security teams today are overwhelmed with data—but starved for context. In this session, we’ll show how you can turn raw security telemetry into actionable intelligence before it hits your SIEM by enriching it with Threat Intelligence (TI) directly in Cribl Stream.

Security teams are dealing with massive data growth, siloed tools, and constant alert fatigue. All of this makes it harder to detect and respond to threats. AI has become a key part of the solution, but its effectiveness depends on having access to complete, high-quality data. In this session, Palo Alto Networks and Deloitte will explore how AI and automation are redefining the modern Security Operations Center (SOC). Learn how leading organizations are leveraging intelligent workflows, automated threat detection, and machine learning to accelerate response times, reduce analyst fatigue, and strengthen overall security posture.

Syslog: it's everywhere, it’s ancient, and let’s be honest — it rarely shows up the way the RFC says it should. Before you cut over to Cribl Stream, it pays to understand exactly what you're dealing with and why it matters. In this talk, we’ll demystify the syslog format (yes, the actual RFC 3164 and 5424 stuff), look at what happens when data goes rogue, and explore how Cribl can help bring order to the chaos.

On the ServiceNow AI Platform, every corner of your business connects. Friction fades. Clarity emerges. Work flows. From IT to HR, Finance to Customer Service, it unites people, systems, and AI to drive transformation across the enterprise. See how we put AI to work for people.

Never miss a critical customer call.

Cloud cost numbers don’t mean anything without context and that’s the core of this conversation. In this episode, we dive into how FinOps on Azure is less about cutting costs and more about creating accountability, visibility, and shared ownership of cloud spending.

In this 5-minute clip from our recent webinar, Canopy's James Marks exposes the most dangerous side-effect of the cloud credit model: the migration loop. Instead of building their product, companies spend months hopping between vendors to chase new credits, falling into a cycle of constant, costly re-architecting. Simon Hansford provides clear advice for the best companies: build your architecture for portability on day one. Restrict proprietary features to maintain optionality and avoid the "entrenched phase.".

Burning through cash after a cloud migration? Hidden CPU overprovisioning could be to blame. Tony and Tonie unpack Greg White’s Redgate Monitor playbook for spotting waste and downsizing safely.