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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). Accordingly, the remaining 27% of clusters are self-managed by the customer on cloud virtual machines.

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Trends and Topics for 2022

Adrian Cockcroft

There were five trends and topics for 2021, Serverless First, Chaos Engineering, Wardley Mapping, Huge Hardware, Sustainability. My talks on Failing Over Without Falling Over are still very relevant, but AWS did finally release a key new service that implements key parts of the architecture: AWS Route 53 Application Recovery Controller.

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

Brendan Gregg

Make sure your system can handle next-generation DRAM,” [link] Nov 2011 - [Hruska 12] Joel Hruska, “The future of CPU scaling: Exploring options on the cutting edge,” [link] Feb 2012 - [Gregg 13] Brendan Gregg, “Blazing Performance with Flame Graphs,” [link] 2013 - [Shimpi 13] Anand Lal Shimpi, “Seagate to Ship 5TB HDD in 2014 using Shingled Magnetic (..)

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AWS EC2 Virtualization 2017: Introducing Nitro

Brendan Gregg

Hardware virtualization for cloud computing has come a long way, improving performance using technologies such as VT-x, SR-IOV, VT-d, NVMe, and APICv. At Netflix, we've been using these technologies as they've been made available for instance types in the AWS EC2 cloud. Each dimension has progressed through these stages: 1.

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Building an elastic query engine on disaggregated storage

The Morning Paper

This paper presents Snowflake design and implementation along with a discussion on how recent changes in cloud infrastructure (emerging hardware, fine-grained billing, etc.) joins) during query processing. Tenant isolation is achieved by provisioning a separate virtual warehouse (VW) for each tenant. S3 on AWS).

Storage 112
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How to Assess MySQL Performance

HammerDB

Regardless of whether the computing platform to be evaluated is on-prem, containerized, virtualized, or in the cloud, it is crucial to consider several essential factors. For example, if you are buying the latest Amazon memory-optimized EC2 instance (R7iz), the AWS page ( [link] ) tells us the following: Up to 3.9 and 8.0.32

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Monitoring Serverless Applications

Dotcom-Montior

those resources now belong to cloud providers, such as AWS Lambda, Google Cloud Platform, Microsoft Azure, and others. Again, the benefit being that the code within your containers or virtual machines is managed by the cloud provider. No more having to worry about maintenance, patching, or scaling. This is known as a cold start.