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Auto-Diagnosis and Remediation in Netflix Data Platform

The Netflix TechBlog

This blog will explore these two systems and how they perform auto-diagnosis and remediation across our Big Data Platform and Real-time infrastructure. This has led to a dramatic reduction in the time it takes to detect issues in hardware or bugs in recently rolled out data platform software.

Big Data 238
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Benchmarking the AWS Graviton2 with KeyDB

DZone

We are, of course, referring to the Amazon EC2 M6g instances powered by AWS Graviton2 processors. The numbers were quite exciting with the AWS Graviton2 living up to the hype, we hope you enjoy! The performance claims made and the hype surrounding the Graviton2 had us itching to see how our high-performance database would perform.

AWS 130
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Kubernetes in the wild report 2023

Dynatrace

Most Kubernetes clusters in the cloud (73%) are built on top of managed distributions from the hyperscalers like AWS Elastic Kubernetes Service (EKS), Azure Kubernetes Service (AKS), or Google Kubernetes Engine (GKE). Big data : To store, search, and analyze large datasets, 32% of organizations use Elasticsearch.

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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. Greenplum’s high performance eliminates the challenge most RDBMS have scaling to petabtye levels of data, as they are able to scale linearly to efficiently process data.

Big Data 321
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Dutch Enterprises and The Cloud

All Things Distributed

This spring I travelled through Europe for the AWS Global Summit series. Europe is a continent with much diversity and for each country there are great AWS customer examples to tell. To reach those goals, Shell in 2010 began using AWS. These sensors create massive amounts of geological data.

Cloud 130
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Expanding the Cloud - Cluster Compute Instances for Amazon EC2.

All Things Distributed

Additionally, many high-end HPC applications take advantage of knowing their in-house hardware platforms to achieve major speedup by exploiting the specific processor architecture. Given the specialized nature of these platforms, they require dedicated resources to maintain and operate and put a big burden on the IT organization.

Cloud 119
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Rethinking the 'production' of data

All Things Distributed

Marketers use big data and artificial intelligence to find out more about the future needs of their customers. Breuninger, a fashion department store chain steeped in tradition, has recognized this and relies on a self-developed e-commerce platform in the AWS Cloud. These mechanisms need to be lean, seamless and effective.