Remove 2016 Remove Database Remove Hardware Remove Tuning
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Reinventing Performance Testing: New Architectures

Alex Podelko

I am looking forward to share my thoughts on ‘Reinventing Performance Testing’ at the imPACt performance and capacity conference by CMG held on November 7-10, 2016 in La Jolla, CA. System’s configuration is not given anymore and often can’t be easily mapped to hardware. – Cloud. – Agile. – Continuous Integration.

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Common SQL Server Mishaps

SQL Performance

This article will expand on my previous article and point out how these apply to SQL Server , Azure SQL Database , and Azure SQL Managed Instance. When looking at backups, I check for recovery model and the current history of backups for each database. Azure SQL Database and Azure Managed Instance have managed backups.

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Using Parallel Query with Amazon Aurora for MySQL

Percona

On multi-core machines – which is the majority of the hardware nowadays – and in the cloud, we have multiple cores available for use. I’m using the “Airlines On-Time Performance” database from [link] (You can find the scripts I used here: [link] ). With faster disks (i.e. AWS Aurora (based on MySQL 5.6) MySQL on ec2.

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5 tips for architecting fast data applications

O'Reilly Software

Google was among the pioneers that created “web scale” architectures to analyze the massive data sets that resulted from “crawling” the web that gave birth to Apache Hadoop, MapReduce, and NoSQL databases. The data shape will dictate capacity planning, tuning of the backbone, and scalability analysis for individual components.