Mon.May 06, 2019

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Hybrid Lazy Loading: A Progressive Migration To Native Lazy Loading

Smashing Magazine

Hybrid Lazy Loading: A Progressive Migration To Native Lazy Loading. Hybrid Lazy Loading: A Progressive Migration To Native Lazy Loading. Andrea Verlicchi. 2019-05-06T13:30:59+02:00. 2019-05-06T11:34:08+00:00. In the past few weeks, you might have heard or read about native lazy loading, which is coming to Chromium 75 in the upcoming months. “Yeah, great news, but we’ll have to wait until all browsers support it.”.

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Boosting Spring Data Performance With Couchbase

DZone

Spring Data provides an easy programming model for data access in both relational and non-relational databases. It became very popular among Java/JVM developers because of the small learning curve and low codebase. However, developers commonly run into performance issues while using it; this tutorial aims to explain some of the common problems and how to fix them.

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Top 10 reasons why there are Bugs/Defects in Software !

QAMentor

For a tester, the failure to report a bug/defect isn’t a good. Yet, it may not be the tester who’s entirely to blame since several other factors can lead to defects leaking into production. Here are the top ten reasons. Communication problems: Miscommunication or lack of communication during various stages of the software development process … The post Top 10 reasons why there are Bugs/Defects in Software !

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Native support for IBM mainframe in Dynatrace provides end-to-end visibility and AI-powered answers

Dynatrace

Dynatrace news. Mainframes power 30 billion transactions a day and are used by 71 percent of Fortune 500 companies. And while those enterprises are moving applications to modern cloud stacks for agility and competitive advantage, these applications often still depend on critical transactions and ‘crown jewels’ customer data residing on IBM Z mainframes.

Java 117
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How to Organize a Bug Hunt

DZone

Let’s talk about bugs – the grody, disgusting, overwhelming technical glitches — that cause hurdles and headaches for technical teams in countless organizations the world over. One of the best ways to do so is through a bug hunt. Bug hunts are exploratory tests designed to find and identify bugs and glitches in your technologies, so you can get rid of them quickly and efficiently.

Mobile 109
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Optimizing Python code during development

Dynatrace

Dynatrace news. Here at Dynatrace we are constantly expanding the platform. As a member of the Platform Extensions practice I am one of the subject matter experts responsible for all services related to expanding the visibility of Dynatrace into technologies which aren’t available out of the box. We take on custom work to create plugins, API and notification middleware’s, SDK’s and OpenKit implementations.

Code 116
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Multiple Cache Configurations With Caffeine and Spring Boot

DZone

Caching is key for the performance of nearly every application. Distributed caching is sometimes needed, but not always. In many cases, a local cache would work just fine, and there’s no need for the overhead and complexity of the distributed cache. So, in many applications, including plain Spring and Spring Boot, you can use @Cacheable on any method and its result will be cached so that the next time the method is invoked, the cached result is returned.

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Percona Live Presents: The First Ever TiDB Track

Percona Community

The PingCAP team has always been a strong supporter of Percona and the wider open source database community. As the people who work day in and day out on TiDB, an open source NewSQL database with MySQL compatibility, open source database is what gets us in the morning, and there’s no better place to share that passion than Percona Live. At this year’s Percona Live Open Source Database Conference in Austin, Texas, we are particularly excited to bring you a full track of talks and demo on the late

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New (Old) Paper.

n0derunner

A 2007 paper, that still has lots to say on the subject of benchmarking storage and filesystems. Primarily aimed at researchers and developers, but is relevant to anyone about to embark on a benchmarking effort. A Nine year study of filesystem and storage benchmarking Download. Use a mix of macro and micro benchmarks Understand what you are testing, cached results are fine – as long as that is what you had intended.