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Amazon Redshift and the art of performance optimization in the cloud

All Things Distributed

Verifying benchmark claims. I picked these examples because they aren't operations that show up in standard data warehousing benchmarks, yet are meaningful parts of customer workloads. Verifying benchmark claims. I've noticed a troubling trend in vendor benchmarking claims over the past year.

Cloud 116
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PostgreSQL vs. Oracle: Difference in Costs, Ease of Use & Functionality

Scalegrid

Recognized as the fastest growing database by popularity, PostgreSQL was named the DBMS of the year in both 2018 and 2017 by DB-Engines, and continues to grow in popularity in 2019. Oracle support for hardware and software packages is typically available at 22% of their licensing fees. In fact, PostgreSQL is so popular, 11.5%

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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. April 2018 , but not usable until several releases later). Pointer Lock.

Media 145
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Kubernetes for Big Data Workloads

Abhishek Tiwari

In 2018, a widespread adaptation of Kubernetes for big data processing is anitcipated. Using default scheduler's node affinity feature you can ensure that certain pods only schedule on nodes with specialized hardware like GPU, memory-optimised, I/O optimised etc. Kubernetes has a massive community support and momentum behind it.

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The Performance Inequality Gap, 2021

Alex Russell

India became a 4G-centric market sometime in 2018. Hardware Past As Performance Prologue. Using a global ASP as a benchmark can further mislead thanks to the distorting effect of ultra-high-end prices rising while shipment volumes stagnate. 5G looks set to continue a bumpy rollout for the next half-decade. Mind The Gap.

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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. Simulated packet loss and variable latency, however, can make benchmarking extremely difficult and slow. They use “do what it takes” language to describe the efforts to get and stay fast.

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PostgreSQL Performance Tuning: Optimizing Database Parameters for Maximum Efficiency

Percona

This blog was originally published in August 2018 and was updated in May 2023. Key areas include: Configuration parameter tuning : This tuning involves altering variables such as memory allocation, disk I/O settings, and concurrent connections based on specific hardware and requirements. Why is PostgreSQL performance tuning important?

Tuning 52