UK IT leaders are reaching a critical inflection point in how they manage observability, according to research from LogicMonitor. As infrastructure complexity grows and AI adoption accelerates, fragmented monitoring environments are driving organizations to rethink their operational strategies and consolidate tools ...
For years, many infrastructure teams treated the edge as a deployment variation. It was seen as the same cloud model, only stretched outward: more devices, more gateways, more locations and a little more latency. That assumption is proving costly. The edge is not just another place to run workloads. It is a fundamentally different operating condition ...
AI can't fix broken data. CIOs who modernize revenue data governance unlock predictable growth-those who don't risk millions in failed AI investments. For decades, CIOs kept the lights on. Revenue was someone else's problem, owned by sales, led by the CRO, measured by finance. Those days are behind us ...
Over the past few years, organizations have made enormous strides in enabling remote and hybrid work. But the foundational technologies powering today's digital workplace were never designed for the volume, velocity, and complexity that is coming next. By 2026 and beyond, three forces — 5G, the metaverse, and edge AI — will fundamentally reshape how people connect, collaborate, and access enterprise resources ... The businesses that begin preparing now will gain a competitive head start. Those that wait will find themselves trying to secure environments that have already outgrown their architecture ...
Ask where enterprise AI is making its most decisive impact, and the answer might surprise you: not marketing, not finance, not customer experience. It's IT. Across three years of industry research conducted by Digitate, one constant holds true is that IT is both the testing ground and the proving ground for enterprise AI. Last year, that position only strengthened ...
A payment gateway fails at 2 AM. Thousands of transactions hang in limbo. Post-mortems reveal failures cascading across dozens of services, each technically sound in isolation. The diagnosis takes hours. The fix requires coordinated deployments across teams ...
Every enterprise technology conversation right now circles back to AI agents. And for once, the excitement isn't running too far ahead of reality. According to a Zapier survey of over 500 enterprise leaders, 72% of enterprises are already using or testing AI agents, and 84% plan to increase their investment over the next 12 months. Those numbers are big. But they also raise a question that doesn't get asked enough: what exactly are companies doing with these agents, and are they actually getting value from them? ...
Many organizations still rely on reactive availability models, taking action only after an outage occurs. However, as applications become more complex, this approach often leads to delayed detection, prolonged disruption, and incomplete recovery. Monitoring is evolving from a basic operational function into a foundational capability for sustaining availability in modern environments ...
In MEAN TIME TO INSIGHT Episode 22, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses DNS Security ...
The financial stakes of extended service disruption has made operational resilience a top priority, according to 2026 State of AI-First Operations Report, a report from PagerDuty. According to survey findings, 95% of respondents believe their leadership understands the competitive advantage that can be gained from reducing incidents and speeding recovery ...
It's the paradox at the heart of enterprise IT in 2026: teams secure a record-level budget, but instead of immediately innovating and evolving with new tools and seeing results, decision-making has slowed to a crawl. They're flying blind, unable to connect massive investments in areas like AI and cloud to the one thing the business actually cares about: value ...
Organizations are discovering that AI performance reflects the health of their core systems as pilots move into production ... Most stall in the early stages, not because of model limitations, but because their operational foundation isn't ready to support the next level. Lucid's AI Readiness Report found that only 26% of organizations that have implemented AI agents say those efforts have been "completely successful," a clear sign that something beneath the surface is holding teams back ...
Network hardware vendors are raising prices again — and enterprises are feeling it at renewal and refresh time ... Here's the reality: the buy-rack-depreciate cycle is no longer the only way to build a world-class enterprise network — and this isn't a one-off. It's sustained upward pressure across the hardware stack ...
Having more observability data doesn't guarantee better insight. Without a refined alerting strategy, more data means more noise. The teams that sleep well at night aren't the ones with the most dashboards; they're the ones with the clearest alerting logic. Here is exactly how the best ones do it ...
Payment disruption is placing growing pressure on Canadian businesses. An estimated $7.6 billion in retail and hospitality sales is at risk each year due to payment system failures. A new collaborative report by FreedomPay, Dynatrace and Retail Economics reveals Canadians will wait just six minutes during a service outage before abandoning a purchase. However, the average outage lasts 67 minutes, leaving businesses susceptible to significant financial losses and potential damage to consumer trust and loyalty ...