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Announcing the General Availability of Percona Operator for PostgreSQL Version 2

Percona

Users now have full control over Custom Resource Definitions that Operator relies on, which simplifies the deployment and management of the operator. This can be useful if you plan to migrate to new hardware or need to test the new topology. In version 1.x, x, we relied on Deployment resources to run PostgreSQL clusters, whereas in 2.0

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Reducing Embodied Carbon is Important

ACM Sigarch

Throughout, we adopt the Greenhouse Gas Protocol scope definition as used in Prof. Embodied carbon is due to Scope 3, e.g., manufacturing IT hardware and datacenter construction. Hence, significant additional investments into capacity and energy storage would be needed to match a fab’s daily load. Chien’s post.

Energy 98
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Why MySQL Could Be Slow With Large Tables

Percona

In this blog post, we will review key topics to consider for managing large datasets more efficiently in MySQL. Redundant indexes: It is known that accessing rows by fetching an index is more efficient than through a table scan in most cases. It can help us to save costs on storage and backup times.

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My Digital Music Setup

CSS Wizardry

The biggest problem is the DAC circuits used in many devices are just not efficient enough to do justice to the original recording, so a DAC upgrade can be the simplest way to improve your digital music and really get the most from your system. The improvement that the DAC provides is subtle, but definitely noticeable.

Website 108
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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. Human mistakes: Incorrect configuration is an all-too-common cause of hardware and software failure.

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The Cloud is Not a Railroad - An Argument Against the Vertical Separation of Cloud Providers

High Scalability

Each cloud-native evolution is about using the hardware more efficiently. There's a huge short-term and long-term efficiency of services that depends on the successful coordination of cloud services and infrastructure. Does anyone really want to go back to the VM-centric days when we rolled everything ourselves?

Cloud 187
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Powering PostgreSQL 15 With Columnar Tables

Percona

But while eminently capable of performing OLAP, it’s not quite as efficient. And if the query processes 100 million rows, that’s definitely not trivial! The CITUS columnar extension feature set includes: Highly compressed tables: Reduces storage requirements. Columnar storage. it does well. References tables.