Every large-scale AI system — the model that answers your question, the recommendation engine on your favorite app, the vision model in a self-driving car — was trained and is served on infrastructure built from three foundational pieces: GPUs that do the actual computation, a scheduler that decides who gets to use them and when,
Enterprises are moving large language models from pilot projects into production faster than most security programs can adapt. The result is a new attack surface that doesn’t map cleanly onto traditional application security, network security, or data security playbooks — it borrows from all three and adds failure modes none of them anticipated. This post
Around 5 years ago I have completed the Aviatrix Certified Engineer (ACE) – Multicloud Network Associate when it was talk of the town. It’s tempting to file certifications like this under “resume line item” and move on. But this one is worth writing about, because the material addresses a failure pattern that shows up repeatedly
Cloud was supposed to remove friction. Provision compute in minutes, route packets without owning a single router, let infrastructure teams move at the speed of the business instead of the speed of a six-week change-board cycle. That was the pitch. A decade in, Azure increasingly delivers the opposite: a platform so layered with named services,
Every infrastructure team is sitting on a goldmine of data and quietly starving for answers. The data isn’t missing. It’s just scattered across owners who never join their tables. It’s a familiar Monday. An auditor asks a question that sounds trivial: “Show me every production server that has no endpoint protection and isn’t being backed up.” It
Network Access Control is no longer a checkbox. As GCC enterprises accelerate digital transformation, IT/OT convergence, and smart-building deployments, the risks of unmanaged, unclassified devices on your network have never been greater. UAE regulatory mandates — NCA, CBUAE, NESA — now require organizations to demonstrate continuous visibility, automated compliance enforcement, and rapid incident containment across
IntroductionLLMaaS is one of the services which is in great demand in the market, so the organization can utilize or get any managed service company to build their AI use cases. In past few days I have used multiple public LLM providers like Claude, Openrouter , Open AI, DeepSeek, etc to develop enterprise applications and
In today’s AI-driven world, digital connectivity has become fundamental to how organizations operate. The environment has shifted from data-centric to network-centric, where networks serve as the neurons of AI operations — facilitating communication, data transfer, and resource sharing across devices and systems. As AI applications grow in complexity and scale, the demand for efficient, high-performance
The data centers contribute 4-5% of the world’s total electricity usage. This signifies the role it plays in GHG emissions and the worrying climate changes. It is important that organizations consider energy-efficient systems for their critical IT requirement to meet their business objectives. And the same time reduces their carbon footprint and gets the benefit
In our last blog, we covered how to set up the environment for running AXL API commands for CUCM and implemented a Python program for removing directory numbers. Now, we’ll create another Python program that enables bulk logout of extension mobility profiles from phone devices. You’ll simply need to provide a list of MAC addresses
