Operations | Monitoring | ITSM | DevOps | Cloud

Iceberg and the future of Streaming Data Architectures Alex from Dremio, will be joining our host Hugh Evans. Alex is making data lakes more accessible in his role as a developer advocate at Dremio. What we’ll cover.

If you’re running critical MariaDB workloads and need reliable, performance-focused monitoring, this session is for you. You’ll get a live walkthrough of the Management Pack, learn how it integrates seamlessly into SCOM, and explore real-world use cases to improve your database monitoring strategy.

Mastering Risk-Based Vulnerability Management with Ivanti Neurons Ivanti Neurons enhances risk-based vulnerability management by focusing on aggregation prioritization. It collects data from various sources, integrates with over 70 IT service management systems, and emphasizes the importance of contextual risk assessment. A prioritization dashboard helps security teams address critical findings, while automation through playbooks streamlines the remediation process. The content also covers scoring metrics and a knowledge base for trending vulnerabilities.

Struggling to manage work tasks, meetings, and personal events across multiple calendars and apps? Sync Alloy Navigator with your corporate Outlook and add your personal Google or Apple calendars to organize both work and life. With Alloy Navigator, you can easily track tickets, IT assets, meetings, appointments—all in one place. Stay organized Avoid conflicts and double-bookings Plan better Keep your schedule under control.

Rob Zuber sits down with Tara Hernandez, VP of Developer Productivity at MongoDB and former Netscape engineer who helped create early continuous integration systems, to explore strategic frameworks for build vs. buy decisions in modern software delivery.

Learn more about the OPEA project from @LinuxfoundationOrg with Katherine Druckman from Intel.

Ready to master anomaly detection? Join us for Part 2 of our "Applying AI/ML in Observability" series, where we do a deep dive into vmanomaly! In this live stream, Mathis and Marc will be joined by a very special guest: Fred Navruzov, the lead developer and mastermind behind VictoriaMetrics' vmanomaly. If you want to move beyond the basics and unlock the full potential of AI-driven observability, this is a session you can't afford to miss.

What if you had 5 errors, and instead of coming back to 5 issues in your feed, you got 5 pull requests fixing them? Seer is Sentry's new AI Debugging agent. it's able to stitch together all the context from your logs, stack traces, distributed tracing, codebase, and issues and figure out what broke, where, and how to fix it. Seer automation lets you automate that flow - and end up with a nice PR waiting for you to merge if it looks good. Check it out!

Storage is often underestimated: In infrastructure discussions, compute and networking get most of the attention, while storage is treated as secondary. For AI workloads, that can be a costly oversight. Data throughput for specialized hardware: AI infrastructure powered by GPUs can process massive volumes of data at unprecedented speeds. This puts immense pressure on the storage system to keep up. Scale-out performance: An on-prem, scale-out, software-defined storage setup allows you to meet high performance demands, grow capacity as needed, and stay in control of infrastructure costs.

Modular architecture: Decouple compute from storage so each can scale independently. This makes it easier to adapt to growing or shifting workloads over time. Future-ready hardware: Select GPUs and CPUs not just for current workloads but with an eye on scalability, including support for newer accelerator types. Scalable design: Ensure the system allows seamless addition of compute nodes or storage without a full redesign.