Scalegrid

JANUARY 25, 2024

Key Takeaways Critical performance indicators such as latency, CPU usage, memory utilization, hit rate, and number of connected clients/slaves/evictions must be monitored to maintain Redis’s high throughput and low latency capabilities. It can achieve impressive performance, handling up to 50 million operations per second.

Metrics 130

Metrics Monitoring Latency Cache 130

The Netflix TechBlog

NOVEMBER 22, 2019

In this talk, we share how Netflix deploys systems to meet its demands, Ceph’s design for high availability, and results from our benchmarking. Netflix runs dozens of stateful services on AWS under strict sub-millisecond tail-latency requirements, which brings unique challenges.

AWS 100

AWS Entertainment Open Source Benchmarking 100

The Netflix TechBlog

NOVEMBER 22, 2019

In this talk, we share how Netflix deploys systems to meet its demands, Ceph’s design for high availability, and results from our benchmarking. Netflix runs dozens of stateful services on AWS under strict sub-millisecond tail-latency requirements, which brings unique challenges.

AWS 100

AWS Entertainment Open Source Benchmarking 100

The Netflix TechBlog

NOVEMBER 22, 2019

In this talk, we share how Netflix deploys systems to meet its demands, Ceph’s design for high availability, and results from our benchmarking. Netflix runs dozens of stateful services on AWS under strict sub-millisecond tail-latency requirements, which brings unique challenges.

AWS 37

AWS Entertainment Open Source Benchmarking 37

Scalegrid

MARCH 28, 2024

Benchmarking Cache Speed Memcached is optimized for high read and write loads, making it highly efficient for rapid data access in a basic key-value store. Redis’s support for pipelining in a Redis server can significantly reduce network latency by batching command executions, making it beneficial for write-heavy applications.

Cache 130

Cache Storage Scalability Architecture 130

Percona

DECEMBER 26, 2023

This allows for much better data accuracy, especially in the case of high-resolution or unreliable networks. A script executing a benchmarking run: #!/bin/bash Multi-Dimensional Grouping : While pg_stat_statements groups counters by userid, dbid, queryid, pg_stat_monitor uses a more detailed group for higher precision.

Benchmarking 124

Benchmarking Metrics C++ Database 124

Scalegrid

JANUARY 12, 2024

This is sometimes referred to as using an “over-cloud” model that involves a centrally managed resource pool that spans all parts of a connected global network with internal connections between regional borders, such as two instances in IAD-ORD for NYC-JS webpage DNS routing. This also aids scalability down the line.

Cloud 130

Cloud Virtualization Storage Efficiency 130