Magalix Blog
The latest from Magalix on containers, Machine learning and next-gen cloud services
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Every day, we developers are hustling to keep up with the ever-evolving complexities of cloud infrastructure – and one of the biggest disruptions is the introduction of AI into cloud infrastructure. AWS, for example, has rolled out a wide range of fully managed machine learning services, which may soon help developers optimize their infrastructure more intelligently than ever before.

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magalix - watch out for these organizational issues

If your organization is still dealing with the provisioning headaches of traditional VM architecture, it’s probably time to make the switch to containers. 

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Containers are just a different way to run applications — but in the end, they need to serve your business’s goals.

On the first day at my previous job, my manager asked whether we were getting a good return on investment (ROI) from our cloud infrastructure. After just two days on the job, I could clearly see that we weren’t. Our VM’s CPUs were running at five percent on average, and memory was running below 40 percent.

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Does the following conversation sound familiar?

CEO: Our AWS bill has gone to the roof. Why?

VP of engineering: We’re adding new customers! We need enough capacity to keep up with the demand.

CTO: But our average CPU and memory utilization are quite low. Why do we need more capacity if we’re not using all the infrastructure we already have?

VP of engineering: We get traffic spikes throughout the day. We need to be ready for them.

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