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Efficient SLO event integration powers successful AIOps

Dynatrace

Further in this article, we will explore which empirical approach to adopt in order to best align with the Service Level Objectives (SLOs). In other words, where the application code resides. Contact Sales The post Efficient SLO event integration powers successful AIOps appeared first on Dynatrace news.

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Medallion Architecture: Efficient Batch and Stream Processing Data Pipelines With Azure Databricks and Delta Lake

DZone

In today's data-driven world, organizations need efficient and scalable data pipelines to process and analyze large volumes of data. This article explores the concepts of Medallion Architecture and demonstrates how to implement batch and stream processing pipelines using Azure Databricks and Delta Lake.

Azure 246
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Write Optimized Spark Code for Big Data Applications

DZone

In this article, we will discuss some tips and techniques for tuning PySpark applications. Broadcast variables can be used to efficiently distribute large read-only data structures, such as lookup tables, to worker nodes.

Big Data 173
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How To Use Smart-Doc To Generate JMeter Scripts

DZone

It creates documentation by analyzing interfaces and comments in the source code and supports a variety of document output formats, including Markdown , HTML5 , OpenAPI 3.0 , and more. This article will introduce how to use smart-doc and JMeter for effective performance testing.

Java 130
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Gossip Protocol in Social Media Networks: Instagram and Beyond

DZone

Gossip protocol is a communication scheme used in distributed systems for efficiently disseminating information among nodes. This article will discuss the gossip protocol in detail, followed by its potential implementation in social media networks, including Instagram.

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Increase Throughput by Eliminating Blocking Code in Your Java REST App

DZone

Blocking code is code which blocks executing threads until their operations finish. This article assumes some basic knowledge about the differences between blocking and non-blocking code.

Code 140
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Unleash Peak Performance in Java Applications: Overview of Profile-Guided Optimization (PGO)

DZone

Profile-Guided Optimization (PGO) stands as a potent technique capable of substantially enhancing the efficiency of your Java programs. By harnessing runtime profiling data, PGO empowers developers to fine-tune their code and apply optimizations that align with their application's real-world usage patterns.

Java 189