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Finding and Fixing Five Kinds of Architectural Technical Debt

DZone

In the most public situations, the applications tip over completely — like we’ve seen most recently at Southwest Airlines, Twitter, FAA, and others which never get publicized — but you know who you are. Technical debt takes on various forms from source code smells to security risks to the more serious issue of architectural technical debt.

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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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The Power of Integrated Analytics Within an IMDG

ScaleOut Software

Typical uses include storing session-state and ecommerce shopping carts, product descriptions, airline reservations, financial portfolios, news stories, online learning data, and many others. Java applications use a similar mechanism.). Queries in an IMDG can create interesting performance challenges.

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The Power of Integrated Analytics Within an IMDG

ScaleOut Software

Typical uses include storing session-state and ecommerce shopping carts, product descriptions, airline reservations, financial portfolios, news stories, online learning data, and many others. Java applications use a similar mechanism.). Queries in an IMDG can create interesting performance challenges.

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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.