Alex Podelko

OCTOBER 28, 2016

– New Architectures. Quite often the whole area of load testing is reduced to pre-production testing using protocol-level recording/playback. Sometimes it even lead to conclusions like “performance testing hitting the wall” just because load generation may be a challenge. Programming API using a Load Testing Tool.

Performance Testing 100

Performance Testing Technology Technology Testing 100

Testsigma

AUGUST 24, 2020

With in-house tools/frameworks, you have the benefit of code-ownership. You can make changes to the tool/framework to get desired behaviour, but that is a costly affair in terms of resources. You are now investing your resources to evolve the tool/framework rather than the product.

Testing 69

Testing Open Source Scalability Latency 69

Testsigma

APRIL 16, 2021

Speed matters and the Appium framework is relatively slow because of its architecture. Appium doesn’t support testing Android devices that are older than Android 4.2, Test cases are executed fast. Espresso supports test cases that are written in Java and Kotlin.

Testing 52

Testing Open Source Mobile Java 52

Enprowess

JANUARY 11, 2022

These front end frameworks provide various templates to interact with browser components and are compatible with various libraries which boost the performance while reducing the amount of code required. Reusable code is another area where these modern frameworks shine. Reusable code is another area where these modern frameworks shine.

Virtualization 64

Virtualization Website Speed Mobile 64

O'Reilly Software

MARCH 7, 2018

Build a more scalable, composable, and functional architecture for interconnecting systems and applications. This is mixing concerns and leads to code that becomes strongly coupled, monolithic, hard to write, hard to read, hard to evolve, hard to test, and hard to reuse. Welcome to a new world of data-driven systems.

Transportation 72

Transportation Java Programming Architecture 72

Smashing Magazine

JANUARY 11, 2021

Have we optimized enough with tree-shaking, scope hoisting, code-splitting, and all the fancy loading patterns with intersection observer, progressive hydration, clients hints, HTTP/3, service workers and — oh my — edge workers? It’s much easier to reach performance goals when the code base is fresh or is just being refactored.

Performance 145

Performance Cache Media Metrics 145

Smashing Magazine

JANUARY 6, 2020

Is it worth exploring tree-shaking, scope hoisting, code-splitting, and all the fancy loading patterns with intersection observer, server push, clients hints, HTTP/2, service workers and — oh my — edge workers? It’s much easier to reach performance goals when the code base is fresh or is just being refactored.

Performance 145

Performance Cache Network Metrics 145

Smashing Magazine

JANUARY 7, 2019

Is it worth exploring tree-shaking, scope hoisting, code-splitting, and all the fancy loading patterns with intersection observer, server push, clients hints, HTTP/2, service workers and — oh my — edge workers? Real User Monitoring ( RUM ) tools evaluate user interactions continuously and collect field data (e.g.

Performance 104

Performance Cache Metrics Network 104