Operations | Monitoring | ITSM | DevOps | Cloud

Agentic AI has entered day-to-day operations. Systems with the ability to act, learn, and adjust are already cutting noise, speeding remediation, and giving engineers time back for work that moves the business. In a recent webinar, Karthik SJ, General Manager, AI at LogicMonitor, and Mike Cervasio, Global Practice Manager, AIOps at World Wide Technology, explored what makes this new phase of AIOps actionable.

On October 19-20, 2025, Amazon Web Services (AWS) experienced a significant outage (AWS status) affecting its US-EAST-1 region in northern Virginia. The root cause was DNS resolution failures for DynamoDB’s API endpoints, which cascaded across AWS’s interconnected services, disrupting major platforms including Snapchat, McDonald’s, Disney+, Roblox, Coinbas, Reddit, and Amazon’s own services.

On October 20, 2025, much of the internet came to a halt. Apps wouldn’t load. Payments failed. Cloud dashboards went dark. From Fortnite to Alexa, Snapchat, and countless business platforms, users across the world were suddenly offline — all because DNS broke inside Amazon Web Services’ (AWS) US-East-1 region.

Modern applications depend on dozens of external cloud platforms, APIs, and SaaS services to function. But when those providers experience issues, engineers often spend valuable time asking a basic question: Is the problem with us or with them? Provider-maintained status pages are often slow to update, leaving teams waiting for confirmation while incidents escalate. This delay wastes valuable time, prolongs investigations, and risks customer trust.

High-performance computing (HPC) environments support some of the most critical workloads in the world—from asset pricing models in financial institutions to molecular simulations in drug discovery. These workloads often span hundreds of thousands of cores, depend on specialized infrastructure such as GPUs, and run for extended periods. As a result, performance and efficiency are critical.

When external SaaS providers or cloud services degrade or go down, engineers often find themselves wondering if the issue they're encountering is local or more widespread. The answers they find are usually slow to surface, limited in detail, or entirely dependent on the provider's updates. Vendor-controlled status pages and third-party aggregators don’t provide the timely, independent visibility that's necessary to quickly and accurately identify the root cause of slowdowns.

An email blacklist is a database that lists IP addresses or domains suspected of sending spam or malicious emails. Mail servers use these lists to decide whether to deliver or reject incoming messages. Understanding how blacklists work is essential for keeping your messages deliverable and your domain reputation intact.