Operations | Monitoring | ITSM | DevOps | Cloud

Is AI About to Create Its Own Language? Here's What You Need to Know!

This panel brings together experts Josh Mesout (Civo), Nobel Chowdary Mandepudi (Arm), Jimil Patel (Intuit), Numa Dhamani (iVerify), and James Gress (Accenture) to discuss the cutting edge of AI and machine learning. They explore when AI might develop its own language beyond human syntax, the evolving landscape of ML frameworks such as MLIR, Mojo, and JAX, and the challenges involved in bridging the gap from AI research to production while optimizing models for deployment.

Robust Time Series Monitoring: Anomaly Detection Using Matrix Profile and Prophet

Monitoring production systems often feels like searching for a moving needle in a constantly shifting haystack. At Sentry, our goal was to empower customers to move beyond traditional threshold and percentage-based alerting. We aimed to help them detect subtle and complex anomalies in their systems in near real-time. This post will detail how our AI/ML team developed a time series anomaly detection system using Matrix Profile and Meta’s Prophet.

Understanding CVSS and Scanner Severity Scores in Vulnerability Management #shorts

Understanding CVSS and Scanner Severity Scores in Vulnerability Management Organizations prioritize remediation of exposures using CVSS and scanner severity scores. These scores emphasize severity over actual risk, which is tied to vulnerabilities that are actively exploited. Research shows that CVSS scores can exaggerate the criticality of vulnerabilities, leading to excessive remediation efforts. This misalignment may cause critical vulnerabilities to be rated as medium risk, leaving them unaddressed in organizations that depend solely on CVSS for prioritization.

Rewriting the Same Controls-Over and Over Again? How FINOS and Kosli Are Fixing Software Compliance

Every bank needs to prove it’s compliant. So why is every bank reinventing the same rules? Manual, duplicative compliance across teams Engineers stuck gathering screenshots for audits Custom rules for common risks Missed opportunity to define shared standards Mike joins FINOS Aaron Griswold and explains why Kosli joined FINOS—and how defining shared SDLC controls can help regulated organizations stop wasting time and start delivering software faster and safer. Unpacking the real problems in regulated software delivery.

Dynamic Status Pages on Demand

Clients expect transparency - especially when things go wrong. But manually updating a status page during an incident or maintenance window slows you down when speed matters most. Oh Dear’s status pages are more than just a pretty uptime dashboard. They’re fully API-driven and designed to scale with your workflow. Whether you manage five client sites or five hundred, you can create, update and sync status pages as needed. Here’s how to do it.

How we built agentic incident response

‍ AI already transforms how we detect, respond to, and resolve outages. Traditional workflows often force responders to switch between dashboards, shift through logs, and coordinate across fragmented channels under stress. This reactive, manual approach leads to slower resolution, higher operational costs, and burnout, especially as IT systems grow more complex. ‍ At ilert, we are not just discussing the future of incident management – we are actively building it.

10 Essential Things to Know Before Diving into Database DevOps

In today’s rapidly evolving world of development, Database DevOps is becoming an essential practice. It combines the agility of DevOps with the intricacies of databases, all with the goal of enhancing speed, stability and collaboration when it comes to database changes. However, before diving into Database DevOps there are some key concepts your team should get acquainted with. Here are 10 key things you should know to truly understand and reap the benefits from Database DevOps.

From Detection to Action: Elevating Microsoft Sentinel with SIGNL4 Mobile Alerting

It’s 2:13 a.m. Your Microsoft Sentinel instance has flagged a high-severity alert – potential lateral movement detected across several endpoints. But the on-call analyst is fast asleep. The alert was sent… via email. By the time someone notices, hours have passed. The threat? It’s already spread. In modern security operations, detection is only half the battle. The other half? Making sure the right human sees the alert – and acts on it – in time.