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What is a Distributed Storage System

Scalegrid

A distributed storage system is foundational in today’s data-driven landscape, ensuring data spread over multiple servers is reliable, accessible, and manageable. Understanding distributed storage is imperative as data volumes and the need for robust storage solutions rise.

Storage 130
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Netflix Cloud Packaging in the Terabyte Era

The Netflix TechBlog

From chunk encoding to assembly and packaging, the result of each previous processing step must be uploaded to cloud storage and then downloaded by the next processing step. Since not all projects are terabytes projects, allocating the largest cloud storage to all packager instances is not an efficient use of cloud resources.

Cloud 237
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Kubernetes in the wild report 2023

Dynatrace

Accordingly, the remaining 27% of clusters are self-managed by the customer on cloud virtual machines. Of the organizations in the Kubernetes survey, 71% run databases and caches in Kubernetes, representing a +48% year-over-year increase. Java Virtual Machine (JVM)-based languages are predominant.

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AMD EPYC Processors in Azure Virtual Machines

SQL Performance

Back on December 5, 2017, Microsoft announced that they were using AMD EPYC 7551 processors in their storage-optimized Lv2-Series virtual machines. The L3 cache size is 64MB. The L3 cache size is 64MB. The key specifications for the Lsv2 series virtual machines are shown in Table 1. lanes for I/O connectivity.

Azure 42
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USENIX SREcon APAC 2022: Computing Performance: What's on the Horizon

Brendan Gregg

At USENIX SREcon22 APAC I gave the opening keynote on the future of computer performance, rounding up the latest developments and making predictions of where I see things heading. This talk originated from my updates to [Systems Performance 2nd Edition], and this was the first time I've given this talk in person!

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HammerDB for Managers

HammerDB

Why HammerDB was developed. HammerDB development. HammerDB was originally developed by Steve Shaw as an employer approved own-time, own-materials project to implement workloads derived from TPC specifications in a user accessible way. Cached vs Scaled Workloads. Usage and industry adoption.

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Integrate Azure Monitor to get AI-powered service behavior insights

Dynatrace

As adoption rates for Azure continue to skyrocket, Dynatrace is developing a deeper integration with the Azure platform to provide even more value to organizations that run their businesses on Microsoft Azure or have Microsoft as a part of their multi-cloud strategy. Virtual machines. Virtual machine scale sets. Redis Cache.

Azure 104