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Dynatrace and Red Hat expand enterprise observability to edge computing

Dynatrace

Cloud-native workloads on edge devices are gaining momentum among organizations as they extend the hybrid cloud closer to the data source and end users at the edge. Successful deployments of cloud-native workloads at the edge help to reduce costs, boost performance, and improve customer experience.

Retail 257
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Kubernetes in the wild report 2023

Dynatrace

Modern, cloud-native computing is impossible to separate from containers and Kubernetes adoption. As Kubernetes adoption increases and it continues to advance technologically, Kubernetes has emerged as the “operating system” of the cloud. Kubernetes moved to the cloud in 2022. Kubernetes moved to the cloud in 2022.

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How digital experience monitoring helps deliver business observability

Dynatrace

With DEM solutions, organizations can operate over on-premise network infrastructure or private or public cloud SaaS or IaaS offerings. Collected telemetry data may include the type of device being used (cellphone, tablet, smart watch), geographical location, server response time, performance, and security.

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Driving Bandwidth Cost Down for AWS Customers. - All Things.

All Things Distributed

For Amazon retail, some of those dimensions are low pricing, large catalog, fast shipping, and convenience. For example, when our retail customers contributed to create larger economies of scale for Amazon.com, we used the savings to lower pricing such that our customers could also benefit. Driving Storage Costs Down for AWS Customers.

AWS 104
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Quality Begins Where the User Journey Ends

Apica

Indeed, there was a time when applications were vertical stacks of software atop networks and servers wholly owned by the company. In today’s distributed cloud application environments, no matter how many front-end tests an organization runs, there are still infinite ways something could go wrong in front of users. The Intellyx Take.

Retail 52
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A case for ELT

Abhishek Tiwari

Cheap storage and on-demand compute in the cloud coupled with the emergence of new big data frameworks and tools are forcing us to rethink the whole ETL and data warehousing architecture. You can also use cloud and SaaS services such as Google BigQuery, Amazon Redshift Spectrum, Amazon Athena, Qubole to implement ELT approach.

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What is Greenplum Database? Intro to the Big Data Database

Scalegrid

It can scale towards a multi-petabyte level data workload without a single issue, and it allows access to a cluster of powerful servers that will work together within a single SQL interface where you can view all of the data. High performance, query optimization, open source and polymorphic data storage are the major Greenplum advantages.

Big Data 321