Articles

  • 1 week ago | f5.com | Lori MacVittie

    First let’s make sure we’re all talking about the same thing. Data-plane programmability is the ability to customize and control how network traffic is processed, inspected, and secured in real time, enabling rapid adaptation to new threats, dynamic routing, and enhanced application delivery through custom logic and automation.

  • 1 week ago | techstrong.ai | Lori MacVittie

    Model context protocol (MCP), the emerging de facto standard for communication between agents and resources, is gaining ground. Like super uber mega fast. And yet, the tech crowd keeps treating MCP as “just another application-layer protocol,” lumping it in with yesterday’s APIs and moving on. Let’s be clear: That’s not just wrong. It’s dangerously naïve. MCP isn’t just an API.

  • 2 weeks ago | thefastmode.com | Lori MacVittie

    The speed with which AI has been adopted is nothing short of astounding. In just under two years, we’ve basically gone from “this is a cool toy” to “put it in production, now.” That’s worked when it’s primarily augmenting applications and interfaces. But AI is moving fast, and its next target is operations.

  • 3 weeks ago | thefastmode.com | Lori MacVittie

    We asked for flexibility. We got chaos. In 2025, flexibility remains the top reason enterprises scatter their workloads across clouds, data centers, and the edge. According to a recent report we conducted, nearly half of organizations cite flexibility, choosing the best cloud for each workload, as the primary benefit of multi-cloud strategies. The problem? That same flexibility is now the biggest source of pain for operations teams. This isn’t a “cloud vs. on-prem” debate anymore.

  • 4 weeks ago | techstrong.ai | Lori MacVittie

    The AI revolution isn’t coming. It’s already here. According to the State of Application Strategy 2025 report, 96% of enterprises are deploying AI models. We’re well past chatbot trials and productivity co-pilots. These models are now driving workflow automation, security response and performance optimization. But while AI ambitions are on a tear, operations are still dragging their heels and, in many cases, blocking the path entirely.

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