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

Percona

Your workloads, encapsulated in containers, can be deployed freely across different clouds or your own hardware. Because of this flexibility, businesses may choose the infrastructure that best meets their needs. It is an invaluable tool for resolving complicated issues and streamlining processes due to its flexibility and scalability.

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Scaling False Peaks

O'Reilly

Natural language processing has come a very long way since then, having burnt through a good few paradigms to get to something we can use on a daily basis. The claim is that AGI is now simply a matter of improving performance, both in hardware and software, and making models bigger, using more data and more kinds of data across more modes.

Games 104
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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. If a primary server fails, a backup server can take over and continue to serve requests.

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Setting Up and Deploying PostgreSQL for High Availability

Percona

Also, in general terms, a high availability PostgreSQL solution must cover four key areas: Infrastructure: This is the physical or virtual hardware database systems rely on to run. Can you afford the necessary hardware, software, and operational costs of maintaining a PostgreSQL HA solution? there cannot be high availability.

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Progress Delayed Is Progress Denied

Alex Russell

Helps media apps on the web save battery when doing video processing. Coordination APIs allow applications to save memory and processing power (albeit, most often in desktop and tablet form-factors). is access to hardware devices. Some commenters appear to confuse unlike hardware for differences in software. Mind The Gap.

Media 145
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Bringing the Magic of Amazon AI and Alexa to Apps on AWS.

All Things Distributed

There are many more application areas where we use ML extensively: search, autonomous drones, robotics in fulfillment centers, text processing and speech recognition (such as in Alexa) etc. And this process must be repeated for every object, face, voice, and language feature in an application.

AWS 166