Remove Benchmarking Remove Cache Remove Data
article thumbnail

Benchmark (YCSB) numbers for Redis, MongoDB, Couchbase2, Yugabyte and BangDB

High Scalability

This is guest post by Sachin Sinha who is passionate about data, analytics and machine learning at scale. Load stage is to load the data and then run stage we run the test. Load is consistent for all dbs for all tests as expected as this phase is to load the data. Author & founder of BangDB. Workload C: Read only.

article thumbnail

Introducing Configurable Metaflow

The Netflix TechBlog

Frequently, practitioners want to experiment with variants of these flows, testing new data, new parameterizations, or new algorithms, while keeping the overall structure of the flow or flowsintact. This has been a guiding design principle with Metaflow since its inception.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Redis on Azure Performance Benchmark – ScaleGrid for Redis™ vs. Azure Cache

Scalegrid

It has high throughput and runs from memory, but also has the ability to persist data on disk. Redis is a great caching solution for highly demanding applications, and there are […]. In fact, it is the number one key value store and eighth most popular database in the world.

Cache 130
article thumbnail

Measure What You Impact, Not What You Influence

CSS Wizardry

Improving each of these should hopefully chip away at the timings of more granular events that precede the LCP milestone, but whenever we’re making these kinds of indirect optimisation, we need to think much more carefully about how we measure and benchmark ourselves as we work. It’s vital to measure what you impact, not what you influence.

article thumbnail

PostgreSQL: Pgpool-II Use Cases and Benefits

Percona

PostgreSQL is a popular open source relational database management system many organizations use to store and manage their data. Query caching Pgpool-II can cache frequently used queries in memory, reducing the load on your PostgreSQL servers and improving response times. Two benchmarks from users can be found here: [1] [2] 4.

Cache 138
article thumbnail

The Most Important MySQL Setting

Percona

To illustrate this, I ran the Sysbench-TPCC synthetic benchmark against two different GCP instances running a freshly installed Percona Server for MySQL version 8.0.31 In MySQL, considering the standard storage engine, InnoDB , the data cache is called Buffer Pool. In PostgreSQL, it is called shared buffers.

Tuning 145
article thumbnail

Crucial Redis Monitoring Metrics You Must Watch

Scalegrid

Key metrics like throughput, request latency, and memory utilization are essential for assessing Redis health, with tools like the MONITOR command and Redis-benchmark for latency and throughput analysis and MEMORY USAGE/STATS commands for evaluating memory. All these contribute significantly towards ensuring smooth functioning.

Metrics 130