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PostgreSQL Connection Pooling: Part 4 – PgBouncer vs. Pgpool-II

Scalegrid

In our previous posts in this series, we spoke at length about using PgBouncer and Pgpool-II , the connection pool architecture and pros and cons of leveraging one for your PostgreSQL deployment. All of the PostgreSQL benchmark tests were run under the following conditions: Initialized pgbench using a scale factor of 100.

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From Heavy Metal to Irrational Exuberance

ACM Sigarch

The focus of most published research in architecture is on applications implemented in high-performance, “ close-to-the-metal” languages essentially developed before computers got fast. These, let’s call them metal languages , include FORTRAN (introduced in 1957), C (1972), and C++ (1985). As Leiserson et al.

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Choosing a cloud DBMS: architectures and tradeoffs

The Morning Paper

Choosing a cloud DBMS: architectures and tradeoffs Tan et al., use the TPC-H benchmark to assess Redshift, Redshift Spectrum, Athena, Presto, Hive, and Vertica to find out what works best and the trade-offs involved. in the TPC-H Benchmark Standard for details of the queries). VLDB’19. System initialisation time.

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An open-source benchmark suite for microservices and their hardware-software implications for cloud & edge systems

The Morning Paper

An open-source benchmark suite for microservices and their hardware-software implications for cloud & edge systems Gan et al., A typical architecture diagram for one of these services looks like this: Suitably armed with a set of benchmark microservices applications, the investigation can begin! ASPLOS’19.

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Egnyte Architecture: Lessons learned in building and scaling a multi petabyte content platform

High Scalability

Over time, costs for S3 and GCS became reasonable and with Egnyte’s storage plugin architecture, our customers can now bring in any storage backend of their choice. Edge caching. In general, Egnyte connect architecture shards and caches data at different levels based on: Amount of data. Nginx for disk based caching.

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KPTI/KAISER Meltdown Initial Performance Regressions

Brendan Gregg

This overhead can be reduced by A) pcid, fully available in Linux 4.14, and B) Huge pages. - **Cache access pattern**: the overheads are exacerbated by certain access patterns that switch from caching well to caching a little less well. This can turn a 1% overhead (syscall cycles alone) into a 7% overhead. In more detail: ## 1.

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Front-End Performance Checklist 2021

Smashing Magazine

Defining The Environment Choosing a framework, baseline performance cost, Webpack, dependencies, CDN, front-end architecture, CSR, SSR, CSR + SSR, static rendering, prerendering, PRPL pattern. Geekbench CPU performance benchmarks for the highest selling smartphones globally in 2019. compared to early 2015. Shipped in Next.js