Remove Benchmarking Remove Hardware Remove Programming Remove Software
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. offers the Software Watchdog specifically designed for this purpose.

Metrics 130
article thumbnail

CheriABI: enforcing valid pointer provenance and minimizing pointer privilege in the POSIX C run-time environment

The Morning Paper

Last week we saw the benefits of rethinking memory and pointer models at the hardware level when it came to object storage and compression ( Zippads ). The protections are hardware implemented and cannot be forged in software. At hardware reset the boot code is granted maximally permissive architectural capabilities.

C++ 61
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

Compress objects, not cache lines: an object-based compressed memory hierarchy

The Morning Paper

These techniques work well for scientific programs that are dominated by arrays. However, they are ineffective on object-based programs because objects do not fall neatly into fixed-size blocks and have a more irregular layout. Consider a B-Tree node from the B-tree Java benchmark: Uncompressed, it’s memory layout looks like (a) below.

Cache 61
article thumbnail

What programming languages does HammerDB use and why does it matter?

HammerDB

HammerDB is a load testing and benchmarking application for relational databases. However, it is crucial that the benchmarking application does not have inherent bottlenecks that artificially limits the scalability of the database. This is why the choice of programming language is so important from the outset.

article thumbnail

An open-source benchmark suite for microservices and their hardware-software implications for cloud & edge systems

The Morning Paper

An open-source benchmark suite for microservices and their hardware-software implications for cloud & edge systems Gan et al., A typical architecture diagram for one of these services looks like this: Suitably armed with a set of benchmark microservices applications, the investigation can begin! Hardware implications.

article thumbnail

SKP's Java/Java EE Gotchas: Clash of the Titans, C++ vs. Java!

DZone

As a Software Engineer, the mind is trained to seek optimizations in every aspect of development and ooze out every bit of available CPU Resource to deliver a performing application. This begins not only in designing the algorithm or coming out with efficient and robust architecture but right onto the choice of programming language.

Java 207
article thumbnail

DBaaS vs Self-Managed Cloud Databases

Scalegrid

Traditional self-managed ones give organizations full control over their database infrastructure, such as picking the software and scaling it up. These databases require significant time commitment along with necessary technical skills plus hardware & software costs, all of which are without dedicated team assistance.

Database 130