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

Percona

Kubernetes manages and orchestrates these containers, handling tasks such as deployment, scaling, load balancing, and networking. Your workloads, encapsulated in containers, can be deployed freely across different clouds or your own hardware. Is Kubernetes suitable for small businesses, or is it primarily for large enterprises?

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Scaling False Peaks

O'Reilly

DeepMind’s Gato is an AI model that can be taught to carry out many different kinds of tasks based on a single transformer neural network. 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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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. Without enough infrastructure (physical or virtualized servers, networking, etc.), there cannot be high availability. If so, what are the legal liabilities?

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Progress Delayed Is Progress Denied

Alex Russell

Thanks to the Web Platform Tests project and wpt.fyi , we have the makings of an answer for the first: Tests that fail only in a given browser. wpt.fyi 's new Compat 2021 dashboard narrows this full range of tests to a subset chosen to represent the most painful compatibility bugs : Stable-channel Compat 2021 results over time.

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

All Things Distributed

in ML and neural networks) and access to vast amounts of data. Developers can simply specify a few sample phrases and the information required to complete a user's task, and Lex builds the deep learning based intent model, guides the conversation, and executes the business logic using AWS Lambda.

AWS 165