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Kubernetes in the wild report 2023

Dynatrace

Findings provide insights into Kubernetes practitioners’ infrastructure preferences and how they use advanced Kubernetes platform technologies. Kubernetes infrastructure models differ between cloud and on-premises. Kubernetes infrastructure models differ between cloud and on-premises. Kubernetes moved to the cloud in 2022.

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DBaaS Pros & Cons

Scalegrid

The advantages of DBaaS Businesses can use their database services without having to purchase new hardware or set it up. A DBaaS automates several processes, such as using, erasing, and spinning up storage without interventions from IT staff. You don’t need to purchase additional storage when you have a self-managed cloud database.

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Dutch Enterprises and The Cloud

All Things Distributed

Due to the exponential growth of the biology and informatics fields, Unilever needs to maintain this new program within a highly-scalable environment that supports parallel computation and heavy data storage demands. Europe is a continent with much diversity and for each country there are great AWS customer examples to tell.

Cloud 129
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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. Polymorphic Data Storage. Greenplum Advantages.

Big Data 321
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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. It also supports the flexibility and scalability of the database infrastructure.

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10 Lessons from 10 Years of Amazon Web Services

All Things Distributed

This is a given, whether you are using the highest quality hardware or lowest cost components. This becomes an even more important lesson at scale: for example, as S3 processes trillions and trillions of storage transactions, anything that has even the slightest probability of error will become realistic. Primitives not frameworks.

AWS 144
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Use Parallel Analysis – Not Parallel Query – for Fast Data Access and Scalable Computing Power

ScaleOut Software

Hosted on commodity clusters or cloud infrastructures, IMDGs harness the power of distributed computing to deliver scalable storage capacity and access throughput, along with integrated high availability. To help ensure fast data access and scalability, IMDGs usually employ a straightforward key/value storage model.