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Key Advantages of DBMS for Efficient Data Management

Scalegrid

Despite initial investment costs, DBMS presents long-term savings and improved efficiency through automated processes, efficient query optimizations, and scalability, contributing to enhanced decision-making and end-user productivity. It provides tools for organizing and retrieving data efficiently.

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Predictive CPU isolation of containers at Netflix

The Netflix TechBlog

Its goal is to assign running processes to time slices of the CPU in a “fair” way. The idea CFS operates by very frequently (every few microseconds) applying a set of heuristics which encapsulate a general concept of best practices around CPU hardware use. In Linux, the current mainstream solution is CFS (Completely Fair Scheduler).

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What is Recovery Testing?

Testlodge

For example, if your product is a communications platform for the airline industry being used 24/7 and highly depended upon, the ability to recover within seconds or minutes is paramount. Tests should be done on the hardware you’re restoring to whenever possible.

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Wireless attacks on aircraft instrument landing systems

The Morning Paper

The main reason why such an attack works is that the receivers “lock” and process only the strongest received signal. But hey, at least the airlines make sure you have your seatbelt fastened for taxi, take-off, and landing ;). X-Plane was configured to land on the runway of a midsized airport in the US. Emphasis mine).

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COVID-19 Hazard Analysis using STPA

Adrian Cockcroft

Staff should be familiar with recovery processes and the behavior of the system when it’s working hard to mitigate failures. Is the model of the controlled process looking at the right metrics and behaving safely? Book: Engineering a Safer World by Nancy G. They could do nothing, because they hope the problem will go away on its own.

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AI for everyone - How companies can benefit from the advance of machine learning

All Things Distributed

And thirdly, an "algorithmic revolution" has taken place, meaning it is now possible to train trillions of algorithms simultaneously, making the whole machine learning process much faster.

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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.