METCLOUD.CONSTRUCTION

The Silent Shift: Rethinking the Public Cloud in the Age of Cost and AI Over the years, we’ve seen enterprises sprint toward the public cloud, captivated by its promises of agility, scalability, and innovation. But now the cracks are starting to show—and they're expensive. Case in point: GEICO's 300 million annual public cloud bill, prompting a bold decision to repatriate many workloads to a private cloud built on Open Compute Project (OCP) hardware. The results? Over 50% in compute cost savings and over 60% in storage reductions—all while gaining control, flexibility, and an infrastructure built for future innovation. This isn’t just about cost optimization. It’s a quiet yet significant trend that reflects deeper enterprise realities. Public cloud made sense initially, but for many companies, rising costs, lack of adaptability, and increasing AI workloads are shifting the equation entirely. AI is resource-intensive, and hosting AI workloads in the public cloud often becomes a budget-breaking exercise. In response, we’re seeing a new wave of enterprises exploring private and hybrid solutions, leveraging modular hardware and open-source ecosystems like Kubernetes to design custom, scalable infrastructures. Enterprises are waking up to a simple truth: it’s not always about “cloud at all costs.” Pragmatic strategies that balance public cloud, private cloud, and on-premises investments will define the next decade of IT. GEICO’s story is just one high-profile example, but many others are quietly following suit. The next era will be about the right cloud for the right workload—and AI is accelerating this realization. Read more about GEICO’s bold move and the larger implications for enterprise infrastructure in the age of AI here. What do you think? Is the public cloud’s dominance waning, or are we just talking about isolated cases? Let’s discuss. #CloudComputing #AI #HybridCloud #EnterpriseIT #IToldYouSo #Cloud #CloudComputing #GEICO #AI #CloudRepatriation https://lnkd.in/eBU48txf

Introducing the First Episode of #InnovateNow! Join Kevin Little and Suresh Kanumuri as they dive into the latest trends and challenges in #digital supply chain #transformations.   In this episode, we cover: ✅ The rise of S/#4HANA and its impact on warehouse management ✅ Why businesses are insourcing #3PL #logistics #IT systems ✅ How the e-commerce boom is shaping fulfilment centres ✅ Real-world case studies in #automotive and #retail #supplychains   Packed with actionable insights, this episode is a must-watch for anyone navigating the complexities of #modernsupplychains.   📢 Stay tuned for Episode 2, where we’ll share more expert insights and solutions!   #SAP #S4HANA #SupplyChain #3PLS #DigitalTransformation #Logistics #Kagool #InnovateNow #ECommerce #WarehouseManagement #teamkagool

I'm being asked what the issue is with Hyperscaler use by Policing. Its complicated, but here again I've tried to explain that its two-fold: 1 - The Cloud platforms in use (Microsoft and AWS) don't meet the key legal requirements required in the Data Protection Act (and really never shall) 2 - Even if they did, the mandatory processes for each and every transfer are so inefficient that they simply can't be lived with. Hyperscaler transfers create just about as much compliance documentation as the data they process. The problem isn't with the law however: its about bad technology choices. If you need to change the law to use your chosen Tech platform - as the Gov now seek to do in the DUAB - then really you should be questioning if you chose the right tech in the first place. (CLUE: You didn't) 🤷♂️