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Human Factors Behind Incidents: Why Settings Like “idle_session_timeout” Can Be a Bad Idea

Percona

These attacks can rapidly consume available connections, leaving legitimate users unable to connect and disrupting system functionality. These leaks can quickly deplete the available connection pool, hindering system performance and potentially leading to crashes. It should be a tight scrutiny like airline security.

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Predictive CPU isolation of containers at Netflix

The Netflix TechBlog

However, the key insight here is that these caches are partially shared among the CPUs, which means that perfect performance isolation of co-hosted containers is not possible. Traditionally it has been the responsibility of the operating system’s task scheduler to mitigate this performance isolation problem. Linux to the rescue?

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Using Real-Time Digital Twins for Corporate Contact Tracing

ScaleOut Software

Until a COVID-19 vaccine is widely available, getting back to work means keeping a close watch for outbreaks and quickly containing them when they occur. These are defined by the contact tracing application and can be written in C#, Java, or JavaScript. (C# C# was used for the demo application.) Summing Up.

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Using Real-Time Digital Twins for Corporate Contact Tracing

ScaleOut Software

Until a COVID-19 vaccine is widely available, getting back to work means keeping a close watch for outbreaks and quickly containing them when they occur. These are defined by the contact tracing application and can be written in C#, Java, or JavaScript. (C# C# was used for the demo application.) Summing Up.

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Use Parallel Analysis – Not Parallel Query – for Fast Data Access and Scalable Computing Power

ScaleOut Software

Whether it’s ecommerce shopping carts, financial trading data, IoT telemetry, or airline reservations, these data sets need fast, reliable access for large, mission-critical workloads. Looking beyond distributed caching, it’s their ability to perform data-parallel analysis that gives IMDGs such exciting capabilities.

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Use Parallel Analysis – Not Parallel Query – for Fast Data Access and Scalable Computing Power

ScaleOut Software

Whether it’s ecommerce shopping carts, financial trading data, IoT telemetry, or airline reservations, these data sets need fast, reliable access for large, mission-critical workloads. Looking beyond distributed caching, it’s their ability to perform data-parallel analysis that gives IMDGs such exciting capabilities.

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Using Parallel Query with Amazon Aurora for MySQL

Percona

On multi-core machines – which is the majority of the hardware nowadays – and in the cloud, we have multiple cores available for use. In this article, we will look at how this can improve the reporting/analytical query performance in MySQL. Result: ~10x performance gain, no index used. With faster disks (i.e. MySQL on ec2.

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