Demo Express: From Alerts to AI, Live Automation Demos That Solve Real Problems
Overview
As we kick off the new year, we are excited to begin with our regular demonstration webinar: Demo Express. Get ready to experience three live automation demonstrations designed to inspire, inform, and empower you to tackle your IT challenges head-on for 2025 and beyond.
Whether you're automating with your platform of choice or are a seasoned Resolve ninja, this webinar will highlight real-world use cases that prove some processes are simply better off automated.
Our speakers, Derek Pascarella and Brinda Sreedhar, are back to walk us through three live demos:
- Alert Remediation for Network Latency Between App and Database Server: Witness automation in action as it integrates with observability platforms to detect and resolve network latency issues, ensuring smooth and efficient application performance.
- Azure Web Application Down Remediation: Watch event-driven automation in action. Resolve kicks into gear as soon as an alert is triggered, parsing the alert information and taking necessary remedial actions. The IT team verifies that the issue is fixed, and the system generates a comprehensive report on the entire process.
- AI for ITOps: Learn how automation leverages generative AI to optimize root cause analysis while maintaining ethical and responsible AI practices.
Fasten your seatbelts—Demo Express will take your IT and network operations to the next level. Don't miss this opportunity to start the year strong!
Key Takeaways
- An IT automation platform delivers the most value when it connects alerts to action in a single, orchestrated flow. Resolve integrates with observability and AIOps platforms to detect issues between an application and database server, correlate the signal, and trigger automated remediation.
- Event-driven IT automation transforms how incidents are handled in cloud environments. In the Azure web application remediation demo, Resolve responds immediately to an alert, parses context from the event payload, executes remediation steps, enables human validation, and generates a full audit report. This showcases IT orchestration in action.
- Automated incident remediation is about end-to-end IT process automation. Each demo here highlights how repeatable diagnostic steps, service restarts, environment checks, and communication tasks can be effectively coordinated across systems.
- Generative AI for IT operations enhances structured automation. Resolve demonstrates how AI for root cause analysis accelerates troubleshooting by synthesizing logs, alerts, and historical patterns while still operating within governance boundaries and responsible AI practices.
- Enterprise IT automation scales when workflows are reusable, extensible, and tool-agnostic. Whether automating network latency, Azure remediation, or AI-driven diagnostics, Resolve’s approach emphasizes that the right IT automation platform supports modular workflows that adapt across environments.
FAQs
Q: How does an IT automation platform work with an AIOps platform for alert remediation?
A: The best observability tools and AIOps platform surface correlated alerts. Resolve then orchestrates automated remediation steps (diagnostics and corrective actions) to correct the issue without manual intervention. This combination reduces noise, accelerates resolution, and strengthens network operations automation outcomes.
Timestamp: 08:30–19:45
Q: What makes the Azure web app demo an example of event-driven IT automation?
A: The Azure remediation scenario is triggered directly by an alert event. Resolve parses alert data, determines the appropriate remediation workflow, executes corrective steps, enables IT verification, and generates a full audit report. This illustrates event-driven IT automation and IT orchestration working together to deliver expedient incident remediation.
Timestamp: 21:10–39:50
Q: How is generative AI applied responsibly in IT operations?
A: Resolve shows how generative AI can assist with root cause analysis by summarizing logs, identifying patterns, and recommending next steps. However, automation workflows remain deterministic and governed. AI augments operator insight while the IT automation platform ensures execution remains controlled, but also policy driven.
Timestamp: 41:00–56:30
