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Kubernetes for Big Data Workloads

Abhishek Tiwari

In 2018, a widespread adaptation of Kubernetes for big data processing is anitcipated. faster access to external storage and data locality (I/O, bandwidth). Storage provisioning. But Kubernetes storage is evolving quite quickly. Kubernetes has emerged as go to container orchestration platform for data engineering teams.

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How to improve Redo, Transaction Log and WAL throughput for HammerDB benchmarks

HammerDB

This post at an entry-level discusses the options you have to improve log throughput in your benchmark environment. . Additionally for the log disk component it is latency for an individual write that is crucial rather than the total I/O bandwidth. log 2018-11-02T15:39:25.628040+00:00 Thread 1 cannot allocate new log, sequence 1403.

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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. It efficiently manages read and write operations, optimizes data access, and minimizes contention, resulting in high throughput and low latency to ensure that applications perform at their best. What are the differences between Aurora and RDS?

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HammerDB MySQL and MariaDB Best Practice for Performance and Scalability

HammerDB

As is also the case this limitation is at the database level (especially the storage engine) rather than the hardware level. InnoDB is the storage engine that will deliver the best OLTP throughput and should be chosen for this test. . maximum transition latency: Cannot determine or is not supported. . c_ytd_payment: 10.00

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Progress Delayed Is Progress Denied

Alex Russell

As an engineer on a browser team, I'm privy to the blow-by-blow of various performance projects, benchmark fire drills, and the ways performance marketing (deeply) impacts engineering priorities. With each team, benchmarks lost are understood as bugs. Chrome has missed several APIs for 3+ years: Storage Access API. Pointer Lock.

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Can You Afford It?: Real-world Web Performance Budgets

Alex Russell

Budgets are scaled to a benchmark network & device. Deciding what benchmark to use for a performance budget is crucial. It simulates a link with a 400ms RTT and 400-600Kbps of throughput (plus latency variability and simulated packet loss). Performance budgets are set early in the life of the project. Global Ground-Truth.

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The Performance Inequality Gap, 2021

Alex Russell

A then-representative $200USD device had 4-8 slow (in-order, low-cache) cores, ~2GiB of RAM, and relatively slow MLC NAND flash storage. India became a 4G-centric market sometime in 2018. Sadly, data on latency is harder to get, even from Google's perch, so progress there is somewhat more difficult to judge.