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Best MySQL DigitalOcean Performance – ScaleGrid vs. DigitalOcean Managed Databases

Scalegrid

MySQL is the all-time number one open source database in the world, and a staple in RDBMS space. ScaleGrid provides 30% more storage on average vs. DigitalOcean for MySQL at the same affordable price. MySQL DigitalOcean Performance Benchmark. Read-Intensive Throughput Benchmark. Compare Pricing. DigitalOcean.

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

Percona

A Dedicated Log Volume (DLV) is a specialized storage volume designed to house database transaction logs separately from the volume containing the database tables. DLVs are particularly advantageous for databases with large allocated storage, high I/O per second (IOPS) requirements, or latency-sensitive workloads.

AWS 99
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Redis vs Memcached in 2024

Scalegrid

This article will explore how they handle data storage and scalability, perform in different scenarios, and, most importantly, how these factors influence your choice. Redis Revealed: An Overview Redis, a renowned open-source, in-memory remote dictionary server, stands out for its diverse data structures and advanced features.

Cache 130
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ScaleGrid DigitalOcean Support for MySQL, PostgreSQL and Redis™ Now Available

Scalegrid

MySQL and PostgreSQL are the top two open source relational databases in the world, and Redis is the top key-value database. The open source model is not only popular with the developer market, but also enterprise companies looking to modernize their infrastructure and reduce spend.

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Comparing PostgreSQL DigitalOcean Performance & Pricing – ScaleGrid vs. DigitalOcean Managed Databases

Scalegrid

As an open source database, it’s a highly popular choice for enterprise applications looking to modernize their infrastructure and reduce their total cost of ownership, along with startup and developer applications looking for a powerful, flexible and cost-effective database to work with. PostgreSQL Benchmark Setup. Single Node.

Database 230
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Characterizing, modeling, and benchmarking RocksDB key-value workloads at Facebook

The Morning Paper

Characterizing, modeling, and benchmarking RocksDB key-value workloads at Facebook , Cao et al., Or in the case of key-value stores, what you benchmark. So if you want to design a system that will offer good real-world performance, it’s really useful to have benchmarks that accurately represent real-world workloads.

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Building Netflix’s Distributed Tracing Infrastructure

The Netflix TechBlog

Troubleshooting a session in Edgar When we started building Edgar four years ago, there were very few open-source distributed tracing systems that satisfied our needs. Our tactical approach was to use Netflix-specific libraries for collecting traces from Java-based streaming services until open source tracer libraries matured.