Cloud computing finally getting green cred

A new study found that the computing output of data centers jumped six fold from 2010 to 2018, but their energy consumption rose only six percent. The findings refute concerns that the rise of mammoth data centers would generate a surge in electricity demand, and thus carbon output has been greatly overstated.

I think back to many panel debates on the green-ness of cloud computing. Those arguing that cloud computing would warm the planet were legion compared to others, like myself, who argued the contrary.

The major force behind the improved efficiency is the shift to cloud computing. Why?

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Where to look for cost savings in the cloud

The potential to save money is by no means the only reason for moving to the cloud. Many companies cite potential benefits such as greater agility, easier scalability, and even improved security as drivers for shifting data and applications to a cloud environment.

A cloud migration can actually end up increasing expenses for companies in certain areas, especially if a lot of updates and maintenance are required. Still, there are clearly lots of ways organizations can save money by moving data, applications, development, and other components of IT to cloud-based services.

Following are six examples of how enterprises can achieve

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Raspberry Pi is your new private cloud

The running joke is that raspberry Pis are cheaper than an actual raspberry pie. Although I wouldn’t pay $50 to $100 for a pie to eat, the idea is to provide a very capable computer, with a small footprint, with built-in networking, running open source software, at a price that hobbyists, as well as professionals, can afford.

I’ve used them for years as IoT devices, considering they can gather, store, process, and transmit data, as well as react to the data if needed. People are using a Pi on projects such as making motorcycle riding safer and other IoT/edge net-new

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How to make the most of Azure Cosmos DB’s free tier

Azure’s Cosmos DB is one of its best features. A multimodel distributed database, it gives you a foundation for building truly cloud-native applications with a series of consistency models that can be mapped to how your application works. But it’s not easy to get started, and a badly configured or designed application can quickly get expensive.

It’s good to see that Cosmos DB now has a free tier that can help you start deploying applications outside of a limited development environment. The new tier isn’t large: it’s based on the minimum configuration for Cosmos DB, and offers 400 RU/s

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3 cloud architecture problems that need solutions

For the most part, cloud architecture is not that exciting. By now we know basically what works, what does not, and the process to get to the right target architecture. This means both the meta or logical architecture and added technology to get to the physical architecture.

Although we know the best patterns for most of what cloud architecture requires, some problems are still being debated. No de facto solution or best practice has emerged yet. Here are my top three:

First, what goes on the edge? Edge computing has benefits, such as placing data processing closer to the source

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Containers march into the mainstream

When Edison invented the lightbulb, it had a problem: It needed to be hardwired to the lamp. Hence the Edison screw, which became the standard that, to this day, allows almost any bulb to be twisted into almost any light fixture, be it desk lamp or chandelier.

A decade ago, Solomon Hykes’ invention of Docker containers had an analogous effect: With a dab of packaging, any Linux app could plug into any Docker container on any Linux OS, no fussy installation required. Better yet, multiple containerized apps could plug into a single instance of the OS, with each app

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