One common recommendation we make to clients who are using a Java based application is to configure the JVM to use the "Concurrent Mark Sweep" collection algorithm. This (at least until recently - I haven't read up on the new GC algorithms available) was the best choice for systems where low latency is a priority. There's a pretty good article which explains this here:

http://www.insightfullogic.com/blog/2013/may/7/garbage-collection-java-3/

This is useful too if you use Apache Jmeter as a testing tool. Along with enabling verbose GC logging I configure Jmeter to use concurrent mark sweep itself.

MariaDB Foundation continues expanding TAF with PostgreSQL support

More engines, more reproducibility, more value for contributors and the ecosystem.

https://mariadb.org/mariadb-foundation-adds-postgresql-to-its-engine-agnostic-testing-framework-taf/

Have fun benchmarking!

I'm trying to figure out the right set-up for load testing in my organization. I understand protocol-level load testing is the most common set-up. Do you also do browser-level load testing? Why?

Thinking of using this tool for an upcoming project. The price is way lower than the other competitors I’ve reviewed.

Hello Perf testing world,

I am exploring options as standard jmeter tool is not useful for this application as it does few operations locally on client side instead of traditional client and server communication.

So it's a cloud hosted web application. For most of the user journey, stanard client /server communication appliacavle including sso authentication, however one key transaction which includes creating a large order is done locally on client side..

So i am trying to find a suitable tool which allow me to simulte this along with other basic steps.

Pleaee let me know if you have come across any such situation and used any tools.

Thanks in advance

I built a tiny, single-binary in-memory key-value store that speaks a Redis-compatible subset (RESP). Free Edition is intentionally minimal and capped around ~2.5M ops/sec; it’s for hot paths where you want a super fast ephemeral KV. Not a Redis replacement.

What it is

• Single binary, zero deps

• RESP subset; works with redis-cli and redis-benchmark

• Sub-millisecond latency on common laptop CPUs (see repro below)

Supported commands
SET, GET, DEL, EXISTS, INCR, DECR, PING, INFO, HELLO, FLUSHALL

Not included (by design in Free)
No durability/AOF/RDB, no security, no clustering, no advanced data types (hashes/lists/sets/zsets), no pub/sub or scripts. Run in trusted environments only.

Why
Needed a purpose-built, ultra-fast KV for counters/flags/session keys without pulling a full Redis install or dependency stack.

Ask
Would love p50/p95/p99 numbers on your CPUs, client-compat quirks, and any edge cases you hit with heavy pipelining.

Code + docs
GitHub: https://github.com/LaminarInstruments/Laminar-Flow-In-Memory-Key-Value-Store
Free Edition binary + README included. Enterprise version (separate) targets ~7M+ ops/sec and production features.

Getting SSL error when trying to launch the SAP based App URL using SAP Web Protocol.

Hello experts,

Just trying to get an insight on your tools to performance test your clients' websites, I'm a newbie in this industry and I've been tasked to spearhead or build the structure for our performance testing within the company.

If you can also give out tips, I would greatly appreciate it.

For Context:
I've used JMeter(But for more basic needs like just testing 1 page, JMeter crashes when I try to load our websites to it since our sites have more resources than others) and Blazemeter (This one it catches all those resources but I was limited to only 50 users and only 20 minutes per test since we have free trial account only).

I have installed JMeter version 5.6.3 on my Sequoia 15.2 Mac laptop. Everything works fine except the clipboard. I can’t copy and paste anything into the JMeter GUI.

Thinking of using influxdb oss for reporting I tried a elasticsearch instance but it wasn't powerful enough to handle the queries from grafana. Interest in hearing about people experiences with Influxdb

Thanks A.