article thumbnail

What Happened to HornetQ, the JMS That Shattered Records?

DZone

broke records and defeated top-ranked messaging services in benchmark tests. For years, researchers at UT Darmstadt have compared the performance of message-oriented middleware servers based on Java Messaging Service (JMS). Why wasn't it widely adopted?

article thumbnail

The Effect of Isolation Levels on Distributed SQL Performance Benchmarking

DZone

You may also like: SQL Server Tips and Techniques for Database Performance Optimization. The general perception is that benchmarks published by vendors can never be trusted; however, well-run benchmarks absolutely have their place, even if performed by a vendor.

Insiders

Sign Up for our Newsletter

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

Trending Sources

article thumbnail

Why you should benchmark your database using stored procedures

HammerDB

HammerDB uses stored procedures to achieve maximum throughput when benchmarking your database. HammerDB has always used stored procedures as a design decision because the original benchmark was implemented as close as possible to the example workload in the TPC-C specification that uses stored procedures. On MySQL, we saw a 1.5X

article thumbnail

Comparing Approaches to Durability in Low Latency Messaging Queues

DZone

A significant feature of Chronicle Queue Enterprise is support for TCP replication across multiple servers to ensure the high availability of application infrastructure. This is the first time I have benchmarked it with a realistic example.

Latency 275
article thumbnail

Why Tcl is 700% faster than Python for database benchmarking

HammerDB

Python is a popular programming language, especially for beginners, and consequently we see it occurring in places where it just shouldn’t be used, such as database benchmarking. We use stored procedures because, as the introductory post shows, using single SQL statements turns our database benchmark into a network test).

article thumbnail

How to use Server Timing to get backend transparency from your CDN

Speed Curve

Server-timing headers are a key tool in understanding what's happening within that black box of Time to First Byte (TTFB). Looking at the industry benchmarks for US retailers , four well-known sites have backend times that are approaching – or well beyond – that threshold.

Servers 57
article thumbnail

Crucial Redis Monitoring Metrics You Must Watch

Scalegrid

You will need to know which monitoring metrics for Redis to watch and a tool to monitor these critical server metrics to ensure its health. Connected_slaves provides information about replication status while Used_memory tracks utilized amount of server’s total capacity. You can pick a smart selection of relevant metrics from these.

Metrics 130