Remove Airlines Remove Architecture Remove Network Remove Programming
article thumbnail

Predictive CPU isolation of containers at Netflix

The Netflix TechBlog

Because microprocessors are so fast, computer architecture design has evolved towards adding various levels of caching between compute units and the main memory, in order to hide the latency of bringing the bits to the brains. We formulate the problem as a Mixed Integer Program (MIP).

Cache 251
article thumbnail

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. Because all the work is performed with the IMDG, this has the two-fold advantage of offloading both the network and the client’s CPU.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

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. Because all the work is performed with the IMDG, this has the two-fold advantage of offloading both the network and the client’s CPU.

article thumbnail

Real-Time Digital Twins Can Help Expedite Vaccine Distribution

ScaleOut Software

We are faced with quickly building a nationwide logistics network and standing up well more than 50,000 vaccination centers. Conventional, enterprise data architectures take months to develop and are complex to change. Is there a simpler, faster way to wrangle this data for crisis managers?

article thumbnail

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. This can quickly saturate the network (and bog down the client).

article thumbnail

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. This can quickly saturate the network (and bog down the client).