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Cloud Native Predictions for 2024

Percona

of respondents are currently utilizing databases in Kubernetes (k8s). These indicators suggest that the adoption of databases on k8s is in its early stages and is likely to continue growing in the future. It comprises numerous organizations from various sectors, including software, hardware, nonprofit, public, and academic.

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Cloudy with a high chance of DBMS: a 10-year prediction for enterprise-grade ML

The Morning Paper

Taking a step back, EGML systems need support in three main areas: model development/training, model scoring (inference) and model management/governance. " Training in the cloud and the need for much better governance are both pretty uncontroversial directions. ." Three big bets.

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Customer Conversations - How Intuit and Edmodo Innovate using.

All Things Distributed

One of the services that is very successful in driving innovation at our customers in this context is Amazon RDS , the Relational Database Service. Amazon RDS removes the headaches of running a relational database service reliably at scale, allowing Amazon RDS customers to focus on innovation for their customers. hands freeƃ?

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How to Optimize Digital Experience and Operations with Dynatrace

Dynatrace

Dynatrace and our local partners helped MAMPU to optimize the digital government experience on several dimensions: Digital Experience: 413% improvement in APDEX, from 0.15 Infrastructure Optimization: 100% improvement in Database Connectivity. Reducing CPU Utilization to now only consume 15% of initially provisioned hardware.

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Matrix IT Organizations, Part I: Turtles all the way Down

The Agile Manager

In consequence, able people are not easily attracted to management roles; and so the amateurs view the professionals with often justified and frequently reciprocated contempt. -- John Kay, How a proud corporate history can lead to poor governance A business has many sub-organizations. They may be functional (sales, accounting, etc.)

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What Is Hyperautomation?

O'Reilly

However, one thing should be obvious: to fill a prescription, you need to access many different kinds of data, in many different databases. An AI project that doesnā€™t address data integration and governance (including compliance) is bound to fail, regardless of how good your AI technology might be.

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