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Dutch Enterprises and The Cloud

All Things Distributed

When Tom Tom launched the LBS platform they wanted the ability to reach millions of developers all around the world without having them invest a lot of capital upfront in hardware and building expensive data centers so turned to the cloud.

Cloud 129
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Backup and Recovery for Databases: What You Should Know

Percona

In general terms, here are potential trouble spots: Hardware failure: Manufacturing defects, wear and tear, physical damage, and other factors can cause hardware to fail. heat) can damage hardware components and prompt data loss. Software failure: Software applications can become vulnerable, or they can crash altogether.

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Understanding What Kubernetes Is Used For: The Key to Cloud-Native Efficiency

Percona

If you have any experience working with database software, you have undoubtedly heard the term Kubernetes a lot. Kubernetes manages and orchestrates these containers, handling tasks such as deployment, scaling, load balancing, and networking. have adopted Kubernetes.

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The Ultimate Guide to Database High Availability

Percona

Defining high availability In general terms, high availability refers to the continuous operation of a system with little to no interruption to end users in the event of hardware or software failures, power outages, or other disruptions. Without enough infrastructure (physical or virtualized servers, networking, etc.),

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10 Lessons from 10 Years of Amazon Web Services

All Things Distributed

Almost from day one, we knew that the software we were building would not be the software that would be running a year later. We needed to build such an architecture that we could introduce new software components without taking the service down. Build evolvable systems. Primitives not frameworks. Automation is key.

AWS 144
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Generative AI in the Enterprise

O'Reilly

That pricing won’t be sustainable, particularly as hardware shortages drive up the cost of building infrastructure. Advanced Data Analysis does a decent job of exploring and analyzing datasets—though we expect data analysts to be careful about checking AI’s output and to distrust software that’s labeled as “beta.”

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What Is Hyperautomation?

O'Reilly

As a trend, it’s not performing well on Google; it shows little long-term growth, if any, and gets nowhere near as many searches as terms like “Observability” and “Generative Adversarial Networks.” We’ll see it in healthcare. Our current set of AI algorithms are good enough, as is our hardware; the hard problems are all about data.

Games 116