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Modern Application Performance

DZone

This is an article from DZone's 2023 Observability and Application Performance Trend Report. For more: Read the Report In today's digital landscape, the growing importance of monitoring and managing application performance cannot be overstated.

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Improving Snowflake Performance by Mastering the Query Profile

DZone

Having worked with over 50 Snowflake customers across Europe and the Middle East, I've analyzed hundreds of Query Profiles and identified many issues including issues around performance and cost. In this article, I'll explain:

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Data Storage Formats for Big Data Analytics: Performance and Cost Implications of Parquet, Avro, and ORC

DZone

One key factor that significantly affects the performance of data processing is the storage format of the data. This article explores the impact of different storage formats, specifically Parquet, Avro, and ORC on query performance and costs in big data environments on Google Cloud Platform (GCP).

Big Data 278
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Article: Donkey: A Highly-Performant HTTP Stack for Clojure

InfoQ

Donkey is the product of the quest for a highly performant Clojure HTTP stack aimed to scale at the rapid pace of growth we have been experiencing at AppsFlyer, and save us computing costs. In this article, we’ll briefly outline the use-case for a library like Donkey and present our benchmarks.

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Designing High-Performance APIs

DZone

Welcome back to our series on API design principles for optimal performance and scalability. In our previous blog post, we explored the importance of designing high-performance APIs and the key factors that influence API performance. In this article, we will build upon the concepts discussed in the previous blog post.

Design 277
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Article: Design Pattern Proposal for Autoscaling Stateful Systems

InfoQ

In this article, Rogerio Robetti discusses the challenges in auto-scaling stateful storage systems and proposes an opinionated design solution to automatically scale up (vertical) and scale out (horizontal) from a single node up to several nodes in a cluster with minimum configuration and interference of the operator. By Rogerio Robetti

Design 144
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Memphis.dev Cloud Performance and Load Testing

DZone

This article presents the most recent Memphis.dev Cloud, multi-region benchmark tests conducted in December 2023, explores how to carry out performance testing, detailing hands-on methods you can apply yourself, and provides recent benchmark data for your reference. The benchmark tool we used can be found here.

Cloud 278