Operations | Monitoring | ITSM | DevOps | Cloud

IREX Enhances FireTrack AI Module for Faster, More Accurate Fire Detection

WASHINGTON, DC - IREX, a global developer of ethical AI and intelligent video analytics, has announced a significant upgrade to its FireTrack fire and smoke detection module, expanding its capabilities across a wide range of environments. As outlined in an article on TNW, the updated solution is designed to work seamlessly with existing camera infrastructure, eliminating the need for additional hardware while extending its use to critical infrastructure, public institutions, residential and commercial properties, and natural environments such as parks and forests.

From AI Idea to Real System: What Changes Along the Way

Most companies don't struggle with the idea of AI. They struggle with what to do with it. The potential is clear-automation, predictions, better decisions. But translating that into something useful inside a business is where things become less obvious. That's usually when ai ml consulting services start to make sense.

How Uninterruptible Power Tech is Shielding Automated Supply Chains from Grid Failures

Modern supply chains are unrecognisable from those of just a decade ago. Today, vast warehouses operate with precision choreography, relying heavily on autonomous robotics, advanced sensor networks, and real-time edge computing. However, this hyper-efficiency has a distinct and growing vulnerability. As operations become entirely dependent on continuous electricity, any disruption to the power supply can bring a highly automated logistics hub to a grinding halt.

From Datadog to CI Tests: Catch Regressions Before Deploy

I worked in observability for years, and the same pattern showed up across teams. An alert fired, the on-call rotation scrambled, and everyone did what they had to do to stabilize production. Then came the retrospective. Once the immediate pressure was gone, the conversation shifted to one question: how do we make sure this never happens again? My friend Jade Rubick coined a name for that principle: DRI, “don’t repeat the incident”.

March 2026: IsDown Users Saved 10.5 Hours with Early Outage Detection

In March 2026, IsDown users collectively saved 10.5 hours by receiving outage alerts before vendors officially acknowledged problems. The most significant early detection gave users a 2.3-hour head start when The Federal Reserve's FedACH system experienced issues. This data reveals the persistent gap between when users experience problems and when vendors update their status pages.

New Features: Team Members and Additional Email Recipients

DNS Check now supports two features for Enterprise accounts that make it easier to work as a team: Team Members and Additional Email Recipients. Team Members lets multiple people log in and work with your DNS records using their own credentials. Additional Email Recipients sends notification emails to people who need to stay informed but don't need to log in.

Microsoft 365 Departed User Archiving: The Complete Guide for Enterprise IT

When an employee leaves your organisation, a clock starts ticking. Microsoft begins deleting their data — OneDrive files, Exchange Online emails, Teams conversations — within days of their account being disabled. For most large enterprises this is happening continuously, quietly, and without IT teams necessarily knowing until someone asks for data that no longer exists.

See It All or Risk It All: The Truth About IT Visibility

In everyday life, ignoring what you cannot see may feel harmless. In IT, it creates a false sense of security and a costly illusion. Although many organizations use some form of asset discovery, 2026 security research from Ivanti reveals that more than 1 in 3 IT professionals (38%) report having insufficient data about devices accessing their networks, and 45% say they lack adequate information about shadow IT. This lack of visibility leaves critical assets at risk of going undetected and unmanaged.

How Will We Hold AI Accountable For Risky Investments?

The word “Trillion” never fails to set the tech world on fire. Foundation Capital’s Jaya Gupta and Ashu Garg are two of the most recent firestarters. Late in December, they co-wrote “AI’s trillion-dollar opportunity: Context graphs,” outlining how AI will transition from organizational knowledge to organizational comprehension.

Cloud Cost Optimization Framework: Build Your FinOps Practice (2026)

Quick answer: A cloud cost optimization framework is a structured, repeatable system for managing cloud spend across people, processes, and tools. It defines how teams gain cost visibility, allocate spend to the right owners, optimize resources and rates, and measure whether spend is generating business value. The FinOps Foundation organizes this around three phases: Inform, Optimize, and Operate — and the Crawl, Walk, Run maturity model maps directly to how organizations progress through them.