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Geek Reading - Week of June 5, 2013

DZone

Simpler UI Testing with CasperJS ( Architects Zone – Architectural Design Patterns & Best Practices). Using MongoDB as a cache store ( Architects Zone – Architectural Design Patterns & Best Practices). Google Analytics Becomes A Robust Testing Platform With Content Experiments API ( Google Analytics Blog).

Java 244
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Redis vs Memcached in 2024

Scalegrid

Key Takeaways Redis offers complex data structures and additional features for versatile data handling, while Memcached excels in simplicity with a fast, multi-threaded architecture for basic caching needs. Introduction Caching serves a dual purpose in web development – speeding up client requests and reducing server load.

Cache 130
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Dynatrace accelerates business transformation with new AI observability solution

Dynatrace

Retrieval-augmented generation emerges as the standard architecture for LLM-based applications Given that LLMs can generate factually incorrect or nonsensical responses, retrieval-augmented generation (RAG) has emerged as an industry standard for building GenAI applications.

Cache 209
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What is a data lakehouse? Combining data lakes and warehouses for the best of both worlds

Dynatrace

While data lakes and data warehousing architectures are commonly used modes for storing and analyzing data, a data lakehouse is an efficient third way to store and analyze data that unifies the two architectures while preserving the benefits of both. This is simply not possible with conventional architectures.

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How multicloud observability boosts cloud performance at Tractor Supply Co.

Dynatrace

Kiran Bollampally, site reliability and digital analytics lead for ecommerce at Tractor Supply Co., shifted most of its ecommerce and enterprise analytics workloads to Kubernetes-managed software containers running in Microsoft Azure. Rural lifestyle retail giant Tractor Supply Co. ” Three years ago, Tractor Supply Co.

Cloud 176
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Sustainable IT: Optimize your hybrid-cloud carbon footprint

Dynatrace

Evaluating these on three levels—data center, host, and application architecture (plus code)—is helpful. Application architectures might not be conducive to rehosting. Implement appropriate caching layers (for example, read-only cache for static data). Is the solution to just move all workloads to the cloud?

Cloud 214
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Elasticsearch Indexing Strategy in Asset Management Platform (AMP)

The Netflix TechBlog

And finally, we have an Apache Iceberg layer which stores assets in a denormalized fashion to help answer heavy queries for analytics use cases. These applications are built on a microservices architecture, and the Asset Management Platform provides asset management to those dozens of services for various asset types.

Strategy 258