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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! Hardware implications.

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Faster remainders when the divisor is a constant: beating compilers and libdivide

Daniel Lemire

The division by a power of two ( / (2 N )) can be implemented as a right shift if we are working with unsigned integers, which compiles to single instruction: that is possible because the underlying hardware uses a base 2. Of course, if d is not a power of two, 2 N / d cannot be represented as an integer. It tells a nice story.

C++ 279
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InnoDB Performance Optimization Basics

Percona

These guidelines work well for a wide range of applications, though the optimal settings, of course, depend on the workload. Hardware Memory The amount of RAM to be provisioned for database servers can vary greatly depending on the size of the database and the specific requirements of the company. Benchmark before you decide.

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Why Browsers Get Built

Alex Russell

Of course, it would be better from the OS vendor's perspective if everyone simply wrote all of the software for their proprietary platform, maximising OS feature differentiation. This adds powerfully to the usual moat-digger's weaponisation of consensus processes. native, OS-specific) platform and the hopefully weaker web platform.

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An analysis of performance evolution of Linux’s core operations

The Morning Paper

Most Linux users cannot afford the amount of resource large enterprises like Google put into custom Linux performance tuning… For Google of course, there’s an economy of scale that makes all that effort worth it. A micro-benchmark suite, LEBench was then built around tee system calls responsible for most of the time spent in the kernel.

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PostgreSQL Performance Tuning: Optimizing Database Parameters for Maximum Efficiency

Percona

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. Throughput: The throughput of an application is directly influenced by the speed at which the database can process and serve queries.

Tuning 52
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The Ultimate Guide to Database High Availability

Percona

Defining high availability In general terms, high availability refers to the continuous operation of a system with little to no interruption to end users in the event of hardware or software failures, power outages, or other disruptions. If a primary server fails, a backup server can take over and continue to serve requests.