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Kubernetes in the wild report 2023

Dynatrace

Of the organizations in the Kubernetes survey, 71% run databases and caches in Kubernetes, representing a +48% year-over-year increase. Together with messaging systems (+36% growth), organizations are increasingly using databases and caches to persist application workload states.

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Creating A Magento PWA: Customizing Themes vs. Coding From Scratch

Smashing Magazine

Some of the names include Amazon’s Luna, TikTok, Tinder, among many online retailers. On the contrary, a native application of an e-commerce store can come at 30, 50, or even 100 MB and up, consuming internal device storage. The separation of monolithic architecture (making it headless) brings many perks. Image credit: Apivita.

Code 74
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The Future in Visual Computing: Research Challenges

ACM Sigarch

cameras) in many usages ranging from digital security/surveillance and automated retail (e.g. To foster research in these categories, we provide an overview of each of these categories to understand the implications on workload analysis and HW/SW architecture research. interactive AR/VR, gaming and critical decision making).

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Hierarchical Navigation and Faceted Search on Top of Oracle Coherence

Highly Scalable

Some time ago I participated in design of a backend for one large online retailer company. In this article, I describe major architectural decisions we made and techniques we used. So, the only way was to cache all necessary data to minimize interaction with RDBMS. Deployment Schema and High-Level Architecture.

Ecommerce 100
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How to Easily Deploy an IMDG in the Cloud

ScaleOut Software

With their tightly integrated client-side caching, IMDGs typically provide much faster access to this shared data than backing stores, such as blob stores, database servers, and NoSQL stores. The Need to Keep It Simple. A key challenge in using an IMDG as part of a cloud-hosted application is to easily deploy, access, and manage the IMDG.

Cloud 40
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How to Easily Deploy an IMDG in the Cloud

ScaleOut Software

With their tightly integrated client-side caching, IMDGs typically provide much faster access to this shared data than backing stores, such as blob stores, database servers, and NoSQL stores. The Need to Keep It Simple. A key challenge in using an IMDG as part of a cloud-hosted application is to easily deploy, access, and manage the IMDG.

Cloud 40
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Batch Mode Bitmaps in SQL Server

SQL Performance

The SQL Server batch mode implementation of a Bloom filter is optimized for modern CPU cache architectures and is known internally as a complex bitmap. There are sadly no retail-build trace flags that report informational messages about batch mode bitmaps or pushed-down filter compilation. Bitmap Choice.

Servers 75