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Predictive CPU isolation of containers at Netflix

The Netflix TechBlog

Resource allocation problems can be efficiently solved through a branch of mathematics called combinatorial optimization, used for example for airline scheduling or logistics problems. We formulate the problem as a Mixed Integer Program (MIP). Conclusion If any of this piques your interest, reach out to us!

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

Percona

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. The point forgotten is that c onnections are owned by clients but maintained by a database. The problem generally begins as a conflict of interests.

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Using Real-Time Digital Twins for Corporate Contact Tracing

ScaleOut Software

In addition, they can log contacts outside the company, such as taxi rides, airline flights, and meals at restaurants, so that community members can be notified if an employee was exposed to COVID-19. These are defined by the contact tracing application and can be written in C#, Java, or JavaScript. (C#

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Using Real-Time Digital Twins for Corporate Contact Tracing

ScaleOut Software

In addition, they can log contacts outside the company, such as taxi rides, airline flights, and meals at restaurants, so that community members can be notified if an employee was exposed to COVID-19. These are defined by the contact tracing application and can be written in C#, Java, or JavaScript. (C#

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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. For more than a decade, in-memory data grids (IMDGs) have proven their usefulness for storing fast-changing data in enterprise applications.

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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. For more than a decade, in-memory data grids (IMDGs) have proven their usefulness for storing fast-changing data in enterprise applications.