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Introducing Configurable Metaflow

The Netflix TechBlog

A natural solution is to make flows configurable using configuration files, so variants can be defined without changing the code. Unlike parameters, configs can be used more widely in your flow code, particularly, they can be used in step or flow level decorators as well as to set defaults for parameters.

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Measure What You Impact, Not What You Influence

CSS Wizardry

Improving each of these should hopefully chip away at the timings of more granular events that precede the LCP milestone, but whenever we’re making these kinds of indirect optimisation, we need to think much more carefully about how we measure and benchmark ourselves as we work. It’s vital to measure what you impact, not what you influence.

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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).

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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. <code> 127.0.0.1:6379> <code> 127.0.0.1:6379>

Metrics 130
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Static Analysis of Java Enterprise Applications: Frameworks and Caches, the Elephants in the Room

The Morning Paper

Static analysis of Java enterprise applications: frameworks and caches, the elephants in the room , Antoniadis et al., Being static , it has the advantage that analysis results can be produced solely from source code without the need to execute the program. PLDI’20. Enterprise applications have (more than?) sound-modulo-analysis.

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Five Data-Loading Patterns To Improve Frontend Performance

Smashing Magazine

Every unnecessary bit of JavaScript code you bundle and serve will be more code the client has to load and process. On your first try, you can use it as a benchmark for optimizations later. How will you serve blazingly fast code, then? Active Memory Caching. Using the cache as permanent storage is an anti-pattern.

Cache 141
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The evolution of single-core bandwidth in multicore processors

John McCalpin

For most high-end processors these values have remained in the range of 75% to 85% of the peak DRAM bandwidth of the system over the past 15-20 years — an amazing accomplishment given the increase in core count (with its associated cache coherence issues), number of DRAM channels, and ever-increasing pipelining of the DRAMs themselves.