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PostgreSQL Performance Tuning: Optimizing Database Parameters for Maximum Efficiency

Percona

In this blog post, we will delve into the world of PostgreSQL performance tuning and establish some basic guidelines for setting database parameters to enhance the performance of your PostgreSQL database, based on the workload. What is PostgreSQL performance tuning? Why is PostgreSQL performance tuning important?

Tuning 52
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Sustainable IT: Optimize your hybrid-cloud carbon footprint

Dynatrace

Most approaches focus on improving Power Usage Effectiveness (PUE), a data center energy-efficiency measure. energy-efficient data centers—cloud providers—achieve values closer to 1.2. Of course, you need to balance these opportunities with the business goals of the applications served by these hosts. A PUE of 1.0

Cloud 205
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WebP Caching has Landed!

KeyCDN

We’re happy to announce that WebP Caching has landed! How Does WebP Caching Work? you use image processing, you can of course use all other commands available such as resizing or cropping.When the Image Processing feature is enabled, the Origin Shield is set to enabled and the Ignore Query String is set to disabled.

Cache 81
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Meet Hydrogen: A React Framework For Dynamic, Contextual And Personalized E-Commerce

Smashing Magazine

We work with millions of merchants, and as many companies, we obsess about storefront performance. We obsess even more about finding the optimal balance between performance, capabilities, and merchants’ business objectives. I work at Shopify, an all-in-one commerce platform to start, run, and grow a business. Large preview ).

Cache 136
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Efficient lock-free durable sets

The Morning Paper

Efficient lock-free durable sets Zuriel et al., Memory might be durable, but… …it is expected that caches and registers will remain volatile. EBR is not lock-free, but offers good performance and provides progress for memory management when threads are not stuck. Performance evaluation. OOPSLA’19.

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A MyRocks Use Case

Percona

Although MyRocks is very efficient for writes, I chose a more generic workload that will provide a different MyRocks use case. The storage device has performance characteristics pretty similar to an AWS gp2 EBS volume of about 330 GB in size. RocksDB is a very efficient key-value store based on LSM trees.

Storage 55
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Building an elastic query engine on disaggregated storage

The Morning Paper

Analysed from the perspective of cloud-native design this presents a number of issues: CPU, memory, storage, and bandwidth resources are all aggregated at each node, and can’t be scaled independently, making it hard to fit a workload efficiently across multiple dimensions. A consistent hashing scheme maps data to nodes.

Storage 112