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What is Greenplum Database? Intro to the Big Data Database

Scalegrid

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. High performance, query optimization, open source and polymorphic data storage are the major Greenplum advantages. Open Source.

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Kubernetes vs Docker: What’s the difference?

Dynatrace

Container technology is very powerful as small teams can develop and package their application on laptops and then deploy it anywhere into staging or production environments without having to worry about dependencies, configurations, OS, hardware, and so on. The time and effort saved with testing and deployment are a game-changer for DevOps.

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Python at Netflix

The Netflix TechBlog

We use and contribute to many open-source Python packages, some of which are mentioned below. Such applications track the inventory of our network gear: what devices, of which models, with which hardware components, located in which sites. If any of this interests you, check out the jobs site or find us at PyCon.

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The Ultimate Guide to Database High Availability

Percona

Defining high availability In general terms, high availability refers to the continuous operation of a system with little to no interruption to end users in the event of hardware or software failures, power outages, or other disruptions. Database downtime can hurt or doom any company with anything to do with the internet.

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2019 Open Source Database Report: Top Databases, Public Cloud vs. On-Premise, Polyglot Persistence

Scalegrid

Ready to transition from a commercial database to open source, and want to know which databases are most popular in 2019? We broke down the data by open source databases vs. commercial databases: Open Source Databases. Popular examples of open source databases include MySQL, PostgreSQL and MongoDB.

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USENIX LISA2021 Computing Performance: On the Horizon

Brendan Gregg

I summarized these topics and more as a plenary conference talk, including my own predictions (as a senior performance engineer) for the future of computing performance, with a focus on back-end servers. This was a chance to talk about other things I've been working on, such as the present and future of hardware performance.

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What I learned at GlueCon 2023?—?Tipping Points and Generative AI

Adrian Cockcroft

Working from home is another tipping point, enabled by widespread deployment of laptops, home internet with capacity to run video (thanks in part to Netflix and other streaming services), and distributed productivity tools, then kicked over the line by the COVID-19 lockdown. Russell Kaplan of Scale AI talked about prompt engineering.