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

The Morning Paper

The process model, user-kernel interactions, dynamic linking, and memory management concerns are all in scope, and the protection spans the OS/DBMS boundary. And this all has to work for whole-system executions, not just the C-language portion of user processes. code is not given access to excessive capabilities. Evaluation.

C++ 61
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HammerDB CLI 101

HammerDB

This will show the benchmark options dialog. Benchmark Options. and benchmark set with the bm argument. The schema build is the same process whether built from the GUI or the CLI. HammerDB ins multithreaded and the Virtual Users run independently as operating system threads. dbset db command. foreach loop.

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What Adrian Did Next?—?Part 2?—?Sun Microsystems

Adrian Cockcroft

Another big jump, but now it was my job to run benchmarks in the lab, and write white papers that explained the new products to the world, as they were launched. I was mostly coding in C, tuning FORTRAN, and when I needed to do a lot of data analysis of benchmark results used the S-PLUS statistics language, that is the predecessor to R.

Tuning 52
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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
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What programming languages does HammerDB use and why does it matter?

HammerDB

HammerDB is a load testing and benchmarking application for relational databases. On high-performance multi-core systems all the supported databases can return performance in the many millions of transactions per minute. This is why the choice of programming language is so important from the outset. Basic Benchmarking Concepts.

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HammerDB for Managers

HammerDB

HammerDB is a software application for database benchmarking. HammerDB has graphical and command line interfaces for the Windows and Linux operating systems. Databases are highly sophisticated software, and to design and run a fair benchmark workload is a complex undertaking. Why HammerDB was developed.