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Kubernetes in the wild report 2023

Dynatrace

In comparison, on-premises clusters have more and larger nodes: on average, 9 nodes with 32 to 64 GB of memory. On-premises data centers invest in higher capacity servers since they provide more flexibility in the long run, while the procurement price of hardware is only one of many cost factors.

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

The Netflix TechBlog

264/AVC, currently, the most ubiquitous video compression standard supported by modern devices, often in hardware. SVT-AV1 uses parallelization at several stages of the encoding process, which allows it to adapt to the number of available cores including newest servers with significant core count. The success was repeated by H.264/AVC,

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Seamless offloading of web app computations from mobile device to edge clouds via HTML5 Web Worker migration

The Morning Paper

Edge servers are the middle ground – more compute power than a mobile device, but with latency of just a few ms. Edge servers are the middle ground – more compute power than a mobile device, but with latency of just a few ms. As such, web workers are a natural target to offload to a more powerful server.

Mobile 104
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Total Cost of Ownership and the Return on Agility - All Things.

All Things Distributed

An apples to apples comparison of the costs associated with running various usage patterns on-premises and with AWS requires more than a simple comparison of hardware expense versus always-on utility pricing for compute and storage. Total Cost of Ownership. This option offers 68% savings over the on-premises option.

AWS 114
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Why MySQL Could Be Slow With Large Tables

Percona

sec) Records: 0 Duplicates: 0 Warnings: 0 mysql> INSERT INTO employees_compressed SELECT * FROM employees; Size comparison: [user1] percona@db1: ~ $ sudo ls -lh /var/lib/mysql/employees/|grep employees -rw-r --. This can help to split large data sets into smaller ones stored in multiple servers.

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Why you should benchmark your database using stored procedures

HammerDB

Stored Procedures and Client SQL comparison To test the stored procedures and client implementations, we ran both workloads against a system equipped with Intel Xeon 8280L. the amount of data from the server to the client to achieve the same result. On MySQL, we saw a 1.5X performance advantage. Client connecting to 127.0.0.1,

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How To Build Your Own Mouseless Development Environment

Smashing Magazine

Finally, if you have some tasks to do on remote servers, you’ll often end up using the shell. This is useful on your local computer, but it’s even better on a remote server. You can, for example, connect to a server via SSH, run a script, close your SSH connection and your terminal on your local machine, and go home.