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Dynatrace observability is now available for Red Hat OpenShift on the IBM® Power® architecture

Dynatrace

Dynatrace introduced the Dynatrace Operator, built on the open source project Operator Framework, in late 2018. IBM Power servers enable customers to respond faster to business demands, protect data from core to cloud, and streamline insights and automation. Captures metrics, traces, logs, and other telemetry data in context.

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USENIX SREcon APAC 2022: Computing Performance: What's on the Horizon

Brendan Gregg

TCP Extensions for Multipath Operation with Multiple Addresses,” [link] Mar 2020 - [Gregg 20] Brendan Gregg, “Systems Performance: Enterprise and the Cloud, Second Edition,” Addison-Wesley, 2020 - [Hruska 20] Joel Hruska, “Intel Demos PCIe 5.0 Ford, et al., “TCP

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A Brief Guide of xPU for AI Accelerators

ACM Sigarch

APU: Accelerated Processing Unit is the AMD’s Fusion architecture that integrates both CPU and GPU on the same die. They introduced the architecture of coarse grain reconfigurable array (CGRA) for statically scheduled data flow computing in HOTCHIPS’17 and its software stack of compiler and linker in ICCAD’17. TFLOPS FP-64, 14.8

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Introducing SVT-AV1: a scalable open-source AV1 framework

The Netflix TechBlog

It’s a nice building with good architecture! Scalable Video Technology (SVT) is Intel’s open source framework that provides high-performance software video encoding libraries for developers of visual cloud technologies. 264/AVC, currently, the most ubiquitous video compression standard supported by modern devices, often in hardware.

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USENIX SREcon APAC 2022: Computing Performance: What's on the Horizon

Brendan Gregg

TCP Extensions for Multipath Operation with Multiple Addresses,” [link] , Mar 2020 [Gregg 20] Brendan Gregg, “Systems Performance: Enterprise and the Cloud, Second Edition,” Addison-Wesley, 2020 [Hruska 20] Joel Hruska, “Intel Demos PCIe 5.0 Ford, et al., “TCP

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Aurora vs RDS: How to Choose the Right AWS Database Solution

Percona

This post was originally published in July 2018 and was updated in July 2023. Understanding DBaaS DBaaS cloud services allow users to use databases without configuring physical hardware and infrastructure or installing software. What are the differences between Aurora and RDS? How do I choose which one to use?

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Kubernetes for Big Data Workloads

Abhishek Tiwari

In 2018, a widespread adaptation of Kubernetes for big data processing is anitcipated. portability between cloud and on-premises. For instance, scatter/gather pattern can be used to implement a MapReduce like batch processing architecture on top of Kubernetes. Kubernetes has a massive community support and momentum behind it.