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Articles by Jeremy Rossbach
The Real Currency of Enterprise IT Isn't Performance - It's Trust
IT operations teams dedicate an enormous amount of energy to tracking performance metrics. We spend our days staring at telemetry dashboards monitoring packet loss, jitter, latency spikes, and server utilization. We treat response times as the ultimate badges of honor. Yet after years of collaborating with enterprise network leaders, I have arrived at a simple truth. Users rarely evaluate IT based on network throughput or CPU graphs. They measure us on confidence.
The End of Reactive Operations: Building an Early Warning Network
The most dangerous assumption in modern enterprise IT is that visibility comes automatically with more data collection. Network operations have followed a basic mechanics loop for years: detection, alerting, ticketing, and remediation, with success determined by Mean Time to Repair (MTTR). Now that stacks span multiple clouds, dozens of microservices, and a growing list of external SaaS dependencies you don't control, that reactive strategy has lost all effectiveness.
The Web RUM framework
Network engineering teams are facing a unique operational paradox: the tools designed to grant total visibility are instead creating critical data blind spots. The rapid expansion of modern enterprise tech has outpaced our ability to make sense of it. Widespread adoption of multi-cloud environments, distributed SaaS, and microservices has caused the average digital footprint to explode over the last decade, dragging an unmanageable maze of background noise along.
Visibility Is the New Standard: Why You Can't Manage What You Can't See
The biggest challenge in multi-cloud operations today isn't a technical one. It is a fundamental lack of operational transparency. Historically, cloud architecture was dominated by a singular focus on connectivity. For over a decade, vendors and enterprise teams spent massive resources solving the pure logistics of linking users to applications, bridging data centers to public clouds, and tying disparate cloud platforms together. That initial phase is over.
5 Steps to Improve Network Observability For Successful AI
While some may feel Network Observability is still a buzz word; it truly is the only way to build a foundation for AI-ready networks. What does AI-ready networks mean? It means you build so much resiliency into your networks that you go from good-enough network performance to near-perfect network performance. Any Artificial intelligence (AI) initiative you tackle will demand this from your network. Meta has publicly reported that their AI workloads spend 54% of their time on the network.
Top 3 Ways to Find NetOps Innocence and Hold ISP and Cloud Providers Accountable
In a recent survey on the state of network operations, 77% reported that network operations is significantly more complex today than in years past, while 82% reported network visibility blind spots because of ISP, cloud and SaaS adoption and 41% sited a lack of skilled personnel as the number one challenge to their NetOps success.
Establish AI-Driven Network Operations: 5 Must-Have Capabilities - Techstrong ITSM
Without a doubt, you can expect artificial intelligence (AI) foundation models to play an important role in many organizations’ strategies in the next three to five years. However, if executives are to achieve the business improvements they expect from AI, their teams must ensure optimized network operations and infrastructure. Revealed in their latest research, EMA concluded that over 40% say that a “shortage of skilled personnel” is the biggest challenge to successful network operations.
Moving from Network Monitoring to Network Observability
The Latest Research from Enterprise Management Associates (EMA) Details What to Look for in a Network Observability Solution If you’re finding it a little difficult to sift through all the varying, often conflicting information surrounding the topic of network observability, you’re certainly not alone.
Smart data: Accelerating the journey from data to insights
Today’s AIOps and observability solutions are applying increasing levels of intelligence to IT Ops data with the goal of generating actionable insights. However, sophisticated AI and ML can sometimes be no match for ‘bad data.’ It’s the age-old problem of garbage in/garbage out.
Choosing the Right SD-WAN App Path
Think about it. We are constantly evaluating how to be more efficient in our lives. Especially when we need to get somewhere. Apps nowadays can let us know when it's time to leave for our destination, how long it will take, the most effective route as well as obstacles in our way that could delay our arrival. We rely on these tools now to make our busy lives more manageable.
Infantry Squad Vehicle ISV
“The strike company is designed to be the lead echelon of the battalion, which combines manned and unmanned sensors in order to make contact with the enemy and to attrit enemy forces before they come in the range of our traditional infantry companies,” Col. Joshua Glonek told Breaking Defense.
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