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Dynatrace observability is now available for Red Hat OpenShift on the IBM® Power® architecture

Dynatrace

By leveraging the Dynatrace Operator and Dynatrace capabilities on Red Hat OpenShift on IBM Power, customers can accelerate their modernization to hybrid cloud and increase operational efficiencies with greater visibility across the full stack from hardware through application processes.

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Using hardware performance counters to determine how often both logical processors are active on an Intel CPU

John McCalpin

Most Intel microprocessors support “HyperThreading” (Intel’s trademark for their implementation of “simultaneous multithreading”) — which allows the hardware to support (typically) two “Logical Processors” for each physical core. leaving half of the Logical Processors idle).

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Why IT Needs to Look at the Network Through a 4-D Lens

DZone

While ‘digital transformation’ and ‘cloud migration’ are two concepts with relatively broad definitions, they’re both rooted in the modernization of enterprise networks. This includes retiring legacy hardware and rethinking network architectures from the top-down to help facilitate a new wave of agile, cloud-delivered solutions and workflows.

Network 100
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Best Practices for a Seamless MongoDB Upgrade

Percona

Powerful change streams and support for data definition language operations. You should also review your hardware resources, how you use MongoDB, and any custom configurations. Introduction of clustered collections for optimized analytical queries. In MongoDB 6.x: x: Enhanced time-series collections with secondary and compound indexes.

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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. Nitro is a revolutionary combination of purpose-built hardware and software designed to provide performance and security. It would have had no way of propagating Nitro across an entire vertical stack of hardware and software services.

Cloud 187
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Impact of Querying Table Information From information_schema

Percona

The percentage in degradation will vary depending on many factors {hardware, workload, number of tables, configuration, etc.}. Disclaimer : This blog post is meant to show a less-known problem but is not meant to be a serious benchmark. Setup The setup consists of creating 10K tables with sysbench and adding 20 FKs to 20 tables.

Cache 104
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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.