Operations | Monitoring | ITSM | DevOps | Cloud

AI is the buzzword of the year for good reason—it's transforming industries, including data centers. Hyperview CEO, Jad Jebara explains how AI is tripling data center capacity, solving industry challenges, and why this is just the beginning.

In this short demo video, Michael Rodrigues, Senior Product Manager, will give you a tour of SNMP Traps as Logs, a new way to monitor SNMP traps with LogicMonitor. SNMP Traps as Logs enables real-time, event-driven notifications for critical networking issues within a user-friendly interface, unlocking instant insights. By ingesting SNMP traps as logs instead of EventSources, you can consolidate network troubleshooting efforts within a single pane of glass for a holistic Network Monitoring approach, eliminate monitoring gaps, improve reliability, and facilitate resource planning.

This video demonstrates the workload optimization feature within a Turbo360. This feature allows users to schedule automatic resizing or turning off resources in Azure to minimize costs. The video shows how to set up a schedule to manage resources, such as App service plans, Cosmos DB, Data Factory Pipelines, Logic Apps, SQL databases, and VMs, and how to configure notifications and cost savings.

Join us as we dive into the world of AI integration with a live demo of Pieces and Civo. In this walkthrough, we explore how Pieces can revolutionize your development workflow, from automating manual tasks to enhancing code snippets with AI. Learn about on-device and cloud capabilities, and discover how AI can deeply enrich your coding experience.

Join Jono Bacon, CEO and Founder of The Community Leadership Core, as he shares his journey from the early days of open source to leading large-scale communities at companies like Canonical, XPRIZE, and GitHub. Discover key insights on building and sustaining thriving communities, the challenges of maintaining open-source projects, and the evolution of community platforms like Slack and Discord. Find out more about Jono Bacon and The Community Leadership Core.

Kubernetes has proven to be a vital tool for developing and running ML models. It enhances experimentation, workflow management, and ensures high availability while handling the resource-intensive nature of AI workloads. With optimizations, Kubernetes can further improve resource utilization, making AI/ML projects more efficient.