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White Papers from Percona

Percona white papers present information on a variety of topics, such as in-depth analyses and recommendations for common issues faced by database developers and administrators. The results of our benchmarking tests on software and hardware solutions are also presented. Where appropriate, Percona white papers present best practice recommendations that are based on our in-depth experience developed through working with leading technology users.

  Mar, 2017   Dave Avery

Today, keeping your enterprise agile and flexible is not just an advantage, it is a requirement.

  Sep, 2015   Andrew Moore, Benjamin Mildren, David Busby, Max Bubenick

We created a checklist of common but deadly MySQL problems to make your life easier.  If handled reactively, these issues can lead to unacceptable downtime, unnecessary costs, malicious attacks, frustrated users, and lost business.

  Jun, 2014   Ryan Lowe

Backup and recovery processes are a foundational piece of any application infrastructure. A well-tested backup and recovery system can be the difference between a minor outage and the end of a business.

  Mar, 2014   Peter Boros

ScaleArc hired Percona to perform various tests on its database traffic management product. This case study is the outcome of the benchmarks carried out by Uday Sawant (ScaleArc) and Peter Boros (Percona).

  Sep, 2013   Jay Janssen

This document represents current MySQL high availability best practices. These form the core of what Percona consultants and engineers will typically discuss with customers exploring this space.

  May, 2012   Vadim Tkachenko

The goal of this benchmark is to show the performance impact of using an Intel 520 SSD drive under a MySQL workload.

  Feb, 2012   Baron Schwartz

The TCP network traffic conversation between a client and a MySQL server is a rich source of data for many types of analysis. In this paper, we show how the simplest type of traffic packet headers with no payload can provide a surprising variety of information about the system’s performance. The techniques that we demonstrate are quick, require o

  Nov, 2011   Vadim Tkachenko

The goal of this research is to compare the performance (throughput) of Virident FlashMAX M1400 card with Fusion-io ioDrive Duo 1.28TB card under a tpcc-mysql workload.

  Mar, 2011   Baron Schwartz

Everyone wants to prevent database downtime by being proactive, but are
measures such as inspecting logs and analyzing SQL really proactive? Although
these are worthwhile, they almost always identify problems that already exist.
To be truly proactive, one must prevent problems, which requires studying and
understanding the reasons for downtime. T

  Feb, 2011   Baron Schwartz, Shridar Subramanian, Vadim Tkachenko

Until recently, MySQL and InnoDB were unable to take advantage of
high-performance hardware, particularly storage systems. Large-scale
deployments made heavy use of so-called horizontal scaling
with a technique called sharding — partitioning data
across many small-to-midsize servers. Today, MySQL — especially

  Feb, 2011   Baron Schwartz

Preventing downtime-causing emergencies in MySQL can be difficult
because they are caused by complex combinations of several things going
wrong. Efforts to be proactive may be sincere, but without knowledge of
the causes of emergencies, they often fail to prevent further
problems. This white paper explains dozens of ways that real
emergencies coul

  Jan, 2011   Baron Schwartz, Vadim Tkachenko

InnoDB requires a long time to restart on servers with large amounts of
memory. It can take many hours to warm InnoDB up enough to serve queries
quickly. The database's "working set" of data is not in memory after a restart,
so queries must perform random disk I/O to read pages, and are thus too slow for
production use. Percona Server with XtraDB g

  Nov, 2010   Baron Schwartz

Forecasting a system's scalability limitations can help answer questions
such as “will my server handle ten times the existing load?” and
“at what point will I need to upgrade my hardware?” Timely
answers to these questions have more business value than exact predictions.
Mathematical models can help reduce guesswork while

  Oct, 2010   Baron Schwartz, Vadim Tkachenko

The Software as a Service (SaaS) deployment model is popular with
customers, but SaaS databases are often difficult for providers to manage,
due to the unique stresses placed upon them. The open-source MySQL database
server can suffer from performance and operational limitations in SaaS
deployments. Percona Server with XtraDB is an enhanced versio

  Apr, 2010   Baron Schwartz, Peter Zaitsev

Goal-Driven Performance Optimization is the method we use at Percona to
deliver results quickly for our clients. It is a simple, universal process
that anyone can use. Benefits include time savings, a defined termination
condition, avoidance of distractions, measurable results, and proof when
goals are unachievable.

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