⚠️February brings changes as #AWS now charges USD 0.005 per hour for public #IPv4 addresses!
The new charge has been implemented across all AWS regions and services, including EC2 instances, RDS databases, EKS nodes, and other service-managed public IPv4 addresses.
#CloudComputing#OnPremises: "To say this journey was controversial is putting it mildly. Millions of people read the updates on LinkedIn, X, and by following this very mailing list. I got thousands of comments asking for clarification, providing feedback, and expressing incredulity over our nerve to zig when others were still busy catching up to the zag.
But the proof was in the pudding. Not only did we complete our cloud exit quickly, customers scarcely noticed anything, and soon the savings started to mount. Already in September, we’d secured a million dollars in savings on the cloud bill. And as the reserved instances (where you prepay for a whole year in advance to get better pricing) started to expire, the bill just kept collapsing:
Which brings us till today. The cloud exit is done, but the questions keep coming. Oh do they keep coming. So rather than answer the same points over and over (and OVER!), I thought I’d compile a good old fashioned list of Frequently Asked Questions (FAQ). Here goes:"
#AI#CloudComputing#Antitrust#Oligopolies#Competition#FTC: "In other words, more is not always better. For example, let’s consider the environmental impact of this approach. It’s akin to saying, we would be better off if there was more competition in the petrochemical and oil sector—when we know that would likely do nothing to reduce the overall sector’s production of fossil fuels, and its subsequent impact on climate change. Is 10,000 Shells better than one, if the business model of extraction and exploitation stays the same? I doubt it– and it might even be worse.
These same concerns hold for AI, cloud computing, and chips. Generative AI, for example, has a measurable impact on the environment, fueled by its need for computing power and reliance on the vast cloud computing power. Take Microsoft, for instance; the insatiable demand to cool its data centers, magnified by the increasingly ubiquitous application ChatGPT running on the Microsoft Azure platform, has led to a staggering surge in water consumption. It reached a whopping 6.4 million cubic meters in 2022. Again, there is no guarantee that if we open up the market and have 10,000 Microsoft Azures instead of one that the industry's environmental footprint will somehow magically reduce. Even if it were a better solution, again, creating 10,000 new cloud computing companies is hardly feasible, given the rising interest rates and the associated costs associated with building out cloud infrastructures, like data centers."