Dynatrace

FEBRUARY 9, 2021

For example, an airline that cares about providing excellent experience to high-value customers might have a loyalty status and mark those high-value customers as ‘Premium.’ In the displayed form, when selecting Server side request attributes as the Expression type , all configured request attributes are listed. Promoting values.

Analytics 136

Analytics Mobile Airlines Monitoring 136

ScaleOut Software

JULY 21, 2020

By transparently distributing stored objects across a cluster of servers (physical or virtual), it automatically scales performance for fast-growing workloads and maintains consistently low access latency. To simplify development for.NET applications, it uses Microsoft’s language integrated query ( LINQ ) to specify queries.

Analytics 52

Analytics Airlines Cache Scalability 52

ScaleOut Software

JULY 21, 2020

By transparently distributing stored objects across a cluster of servers (physical or virtual), it automatically scales performance for fast-growing workloads and maintains consistently low access latency. To simplify development for.NET applications, it uses Microsoft’s language integrated query ( LINQ ) to specify queries.

Analytics 52

Analytics Airlines Cache Scalability 52

ScaleOut Software

JULY 27, 2018

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. To help ensure fast data access and scalability, IMDGs usually employ a straightforward key/value storage model.

Scalability 40

Scalability Cache Airlines Healthcare 40

ScaleOut Software

JULY 27, 2018

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. To help ensure fast data access and scalability, IMDGs usually employ a straightforward key/value storage model.

Scalability 40

Scalability Cache Airlines Healthcare 40

Percona

JANUARY 17, 2019

now has a version which will support parallelism for SELECT queries (utilizing the read capacity of storage nodes underneath the Aurora cluster). I will compare AWS Aurora with MySQL (Percona Server) 5.6 84.1 | | version_comment | Percona Server (GPL), Release 84.1, MySQL on ec2.

Cache 46

Cache C++ AWS Airlines 46