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Protecting critical infrastructure and services: Ensure efficient, accurate information delivery this election year

Dynatrace

To address this, state and local governments are adopting multicloud environments to achieve the necessary speed, scale, and agility to keep up with faster digital transformation. For example, government agencies use an array of cloud platforms spanning 12 environments on average.

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12 different types of mobile testing with real-life examples

Testsigma

Mobiles have different models, screen resolutions, operating systems, network types, hardware configurations, etc. Also, how to test the hardware of the mobile phone itself, is it supporting all the software as it should? Let us have a look at the most popular types of mobile testing for applications and hardware.

Mobile 82
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Helping VFX studios pave a path to the cloud

The Netflix TechBlog

Rachel Kelley (AWS), Ranjit Raju (AWS) Rendering is core to the the VFX process VFX studios around the world create amazing imagery for Netflix productions. This program is just one example of the many ways Netflix strives to entertain the world. By: Peter Cioni (Netflix), Alex Schworer (Netflix), Mac Moore (Conductor Tech.),

Cloud 282
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The top eight DevSecOps trends in 2022

Dynatrace

In order for software development teams to balance speed with quality during the software development cycle (SDLC), development, security, and operations teams (or DevSecOps teams) need to ensure that their practices align with modern cloud environments. That can be difficult when the business climate can prioritize speed.

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What is Greenplum Database? Intro to the Big Data Database

Scalegrid

Greenplum Database is a massively parallel processing (MPP) SQL database that is built and based on PostgreSQL. Greenplum Database is an open-source , hardware-agnostic MPP database for analytics, based on PostgreSQL and developed by Pivotal who was later acquired by VMware. What Exactly is Greenplum? Query Optimization.

Big Data 321
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What is a message queue? How an observability platform eases message queue monitoring

Dynatrace

In a distributed processing environment, message queuing is similar, although the speed and volume of messages are much greater. A producer creates the message, and a consumer processes it. Consumers store messages in a queue — usually in a buffer or on a storage medium — until they can process and delete them.

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What is a message queue? How an observability platform eases message queue monitoring

Dynatrace

In a distributed processing environment, message queuing is similar, although the speed and volume of messages are much greater. A producer creates the message, and a consumer processes it. Consumers store messages in a queue — usually in a buffer or on a storage medium — until they can process and delete them.