Operations | Monitoring | ITSM | DevOps | Cloud

AI Powered IT Operations & Autonomous Resilience | Full SolarWinds Day Q2 2026 Event Replay

Watch the full SolarWinds Day 2026 event on-demand and discover how AI is transforming IT operations, observability, and incident response. In this exclusive event, SolarWinds CEO Sudhakar Ramakrishna and product leaders unveil the company’s vision for Autonomous Operational Resilience—powered by AI, automation, and unified visibility across hybrid and multi-cloud environments.

ITSM Maturity Playbook Live, Episode 1: Incident Management Masterclass

Join this 5-part series designed to help IT teams move from reactive, fragmented processes to a more structured, connected way of working. Each session focuses on a core area, from incident resolution and CMDB visibility to employee experience, service catalog design, and change governance, giving you practical frameworks you can apply right away. You’ll walk away with: Faster, more consistent incident resolution.

Security Integrations in Observability Self-Hosted

Integrating security data with observability data provides a comprehensive view for better threat detection and response. Security observability helps connect the dots between seemingly innocent events that, when correlated, reveal complex attack patterns. SolarWinds security products integrate into observability self-hosted, including Security Event Manager for log data and event correlation, Access Rights Management for identifying potential attack vectors, configuration management for compliance monitoring, and Patch Manager for tracking critical updates.

How Scalability Works in SolarWinds Observability Self-Hosted

Cheryl Nomanson, SolarWinds staff technical trainer, provides a comprehensive overview of SolarWinds architecture and scaling options for self-hosted deployments. She explains the centralized deployment model starting with a single SolarWinds server that handles polling, web console, and database connections. The presentation covers key scaling indicators including polling thresholds that warn users at 85% capacity and alert at 100%. She demonstrates how to add up to 100 polling engines per server and additional web servers to handle more concurrent users.