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What Adrian Did Next?—?Part 2?—?Sun Microsystems

Adrian Cockcroft

I became the Sun UK local specialist in performance and hardware, and as Sun transitioned from a desktop workstation company to sell high end multiprocessor servers I was helping customers find and fix scalability problems. We had specializations in hardware, operating systems, databases, graphics, etc.

Tuning 52
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Setting Up and Deploying PostgreSQL for High Availability

Percona

Unfortunately, using certain open source database software as part of an HA architecture can present significant challenges. This blog highlights considerations for keeping your own PostgreSQL databases highly available and healthy. The same changes made in the primary database are made in the replicas.

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SQL Server I/O Basics Chapter #2

SQL Server According to Bob

This White Paper is for informational purposes only. Copyright The information ​​ that is contained ​​ in this document represents the current view of Microsoft Corporation on the issues discussed as of the date of publication.

Servers 40
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MongoDB Best Practices: Security, Data Modeling, & Schema Design

Percona

Note that the intent of tuning the settings is not exclusively about improving performance but also enhancing the high availability and resilience of the MongoDB database. The Linux default is usually 60 , which is not ideal for database usage. Red Hat recommends lower ratios of 10 and 3 for high-performance/large-memory servers. )

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SQL Server I/O Basics Chapter #1

SQL Server According to Bob

Microsoft SQL Server I/O Basics Author: ​​ Bob Dorr, Microsoft SQL Server Escalation Published: ​​ December, 2004 SUMMARY: ​​ Learn the I/O requirements for Microsoft SQL Server database file operations. This White Paper is for informational purposes only.

Servers 40
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Is It a Read Intensive or a Write Intensive Workload?

Percona

One of the common ways to classify database workloads is whether it is “read intensive” or “write intensive”. Because recognizing if the workload is read intensive or write intensive will impact your hardware choices, database configuration as well as what techniques you can apply for performance optimization and scalability.