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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. Unexpected connection leaks: Unanticipated connection leaks can also arise from programming errors or faulty application logic. It should be a tight scrutiny like airline security.

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Predictive CPU isolation of containers at Netflix

The Netflix TechBlog

Optimizing placements through combinatorial optimization What the OS task scheduler is doing is essentially solving a resource allocation problem: I have X threads to run but only Y CPUs available, how do I allocate the threads to the CPUs to give the illusion of concurrency? We formulate the problem as a Mixed Integer Program (MIP).

Cache 251
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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.)

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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.)

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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.