redis-benchmarks-specification
jtl-reporter
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| redis-benchmarks-specification | jtl-reporter | |
|---|---|---|
| 1 | 3 | |
| 26 | 114 | |
| - | - | |
| 4.7 | 5.6 | |
| 21 days ago | 6 days ago | |
| Python | Python | |
| Apache License 2.0 | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
redis-benchmarks-specification
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Redis 7 benchmarks 3-26% slower than 6
- Optimized GEO commands ( GEODIST, GEOSEARCH BYBOX and BYRADIOUS ) leading to up to 5.4x more ops/sec and still drop in latency of up to 6.4X in the p50 latency.
You can check the redis repo PRs that affect performance easily via: https://github.com/redis/redis/pulls?q=is%3Apr+label%3Aactio...
Taking this opportunity to also remind that our goal (Redis Performance Teams) is to make Redis Performance open and free of bias in any manner. Anyone can contribute in https://github.com/redis/redis-benchmarks-specification either by asking for specific use-cases to be benchmarked, sharing how they're using Redis so we can map that to new benchmarks, and as always submitting PRs to redis itself.
jtl-reporter
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Generate intuitive Locust reports with Jtl Reporter
As I described in another article I had a very similar issue with JMeter and I solved it by implementing Jtl Reporter. By using Jtl Reporter you will get neat performance reports from your tests with the possibility for convenient comparison, test reports management and easily share it with anyone on your team (now you can get rid of HTML reports).
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Generate intuitive JMeter reports with Jtl Reporter and Taurus
An example of upload-kpi.py script can be found here. Do not forget to provide it with api token generated earlier (to avoid 401 error), project and scenario name. I do store them in the same taurus yaml file. The whole taurus yaml file can look like:
What are some alternatives?
python-kv-benchmark - Benchmarks for performing common operations with python client libraries for Memcached, Redis, Redis Cluster, Dragonfly, MongoDB & Etcd
python-test-stack - Python Test Stack Demo
Redis - Redis is an in-memory database that persists on disk. The data model is key-value, but many different kind of values are supported: Strings, Lists, Sets, Sorted Sets, Hashes, Streams, HyperLogLogs, Bitmaps.
allure-docker-service - This docker container allows you to see up to date reports simply mounting your "allure-results" directory in the container (for a Single Project) or your "projects" directory (for Multiple Projects). Every time appears new results (generated for your tests), Allure Docker Service will detect those changes and it will generate a new report automatically (optional: send results / generate report through API), what you will see refreshing your browser.
locust-grasshopper - a load testing tool extended from locust
JEval - ⚡ JEval helps you to evaluate your JMeter test plan and provides recommendation before you start your performance testing. All contributions welcome 🙏.
Remote-Distribution-Load-Testing-in-JMeter - Remote Distributed Load Testing in JMeter Tips and Tricks
Black-Friday-Performance-Testing - 🦃 Black Friday Performance Testing Experiment 🙏
Kangal-Demo - Performance Testing in Kubernetes using Kangal
Learn-JMeter-Series - ⚡ Learn JMeter Series
website_stats - a python library that generates website reports
openvasreporting - OpenVAS Reporting: Convert OpenVAS XML report files to reports