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Why applying chaos engineering to data-intensive applications matters

Dynatrace

The jobs executing such workloads are usually required to operate indefinitely on unbounded streams of continuous data and exhibit heterogeneous modes of failure as they run over long periods. Failures are injected using Chaos Mesh , an open source chaos engineering platform integrated with Kubernetes deployment.

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Speed Trino Queries With These Performance-Tuning Tips

DZone

An open-source distributed SQL query engine, Trino is widely used for data analytics on distributed data storage. Optimizing Trino to make it faster can help organizations achieve quicker insights and better user experiences, as well as cut costs and improve infrastructure efficiency and scalability.

Tuning 152
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From Proprietary to Open Source: The Complete Guide to Database Migration

Percona

Migrating a proprietary database to open source is a major decision that can significantly affect your organization. Advantages of migrating to open source For many reasons mentioned earlier, organizations are increasingly shifting towards open source databases for their data management needs.

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Write Optimized Spark Code for Big Data Applications

DZone

Apache Spark is a powerful open-source distributed computing framework that provides a variety of APIs to support big data processing. In addition, pySpark applications can be tuned to optimize performance and achieve better execution time, scalability, and resource utilization.

Big Data 161
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Powering the Web: Two Decades of Open Source Publishing With WordPress and MySQL

Percona

While not the first open source content management system (CMS), WordPress caught on like nothing before and helped spread open source to millions. It was simple, easy to deploy, and easy to use, and WordPress had the added benefit of being open source. MySQL was founded in 1995 and went open source in 2000.

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How to Debug an Unresponsive Elasticsearch Cluster

DZone

Elasticsearch is an open-source search engine and analytics store used by a variety of applications from search in e-commerce stores, to internal log management tools using the ELK stack (short for “Elasticsearch, Logstash, Kibana”).

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Orchestrating Data/ML Workflows at Scale With Netflix Maestro

The Netflix TechBlog

by Jun He , Akash Dwivedi , Natallia Dzenisenka , Snehal Chennuru , Praneeth Yenugutala , Pawan Dixit At Netflix, Data and Machine Learning (ML) pipelines are widely used and have become central for the business, representing diverse use cases that go beyond recommendations, predictions and data transformations.

Java 202