Remove Availability Remove Benchmarking Remove Course Remove Latency
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Best MySQL DigitalOcean Performance – ScaleGrid vs. DigitalOcean Managed Databases

Scalegrid

Compare Latency. On average, ScaleGrid achieves almost 30% lower latency over DigitalOcean for the same deployment configurations. MySQL DigitalOcean Performance Benchmark. In this benchmark, we compare equivalent plan sizes between ScaleGrid MySQL on DigitalOcean and DigitalOcean Managed Databases for MySQL. Throughput.

Database 217
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Maximizing Performance of AWS RDS for MySQL with Dedicated Log Volumes

Percona

DLVs are particularly advantageous for databases with large allocated storage, high I/O per second (IOPS) requirements, or latency-sensitive workloads. We performed a standard benchmarking test using the sysbench tool to compare the performance of a DLV instance vs a standard RDS MySQL instance, as shared in the following section.

AWS 99
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PostgreSQL Connection Pooling: Part 4 – PgBouncer vs. Pgpool-II

Scalegrid

This is shared between all clients, so a pooled connection is available to all clients. High availability. PostgreSQL high availability is supported through Pgpool-II in-built watcher processes. Not supported – PgBouncer recommends use of HAProxy for high availability and load balancing. Throughput Benchmark.

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ScyllaDB Trends – How Users Deploy The Real-Time Big Data Database

Scalegrid

ScyllaDB offers significantly lower latency which allows you to process a high volume of data with minimal delay. In fact, according to ScyllaDB’s performance benchmark report, their 99.9 percentile latency is up to 11X better than Cassandra on AWS EC2 bare metal. So this type of performance has to come at a cost, right?

Big Data 187
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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., It’s a pretty impressive effort to pull together and make available in open source (not yet available as I write this) such a suite, and I’m sure explains much of the long list of 24 authors on this paper.

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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. Benchmark before you decide. Typically a good value is 70%-80% of available memory. have been released since then with some major changes. Transparent huge pages (THP) disabled.

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Progress Delayed Is Progress Denied

Alex Russell

This post mines publicly available data on the pace of compatibility fixes and feature additions to assess the claim. 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. Higher is better.

Media 145