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The Ultimate Guide to Database High Availability

Percona

To make data count and to ensure cloud computing is unabated, companies and organizations must have highly available databases. This guide provides an overview of what high availability means, the components involved, how to measure high availability, and how to achieve it. How does high availability work?

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Maximizing Performance of AWS RDS for MySQL with Dedicated Log Volumes

Percona

We performed a standard benchmarking test using the sysbench tool to compare the performance of a DLV instance vs a standard RDS MySQL instance, as shared in the following section. Benchmarking AWS RDS DLV setup Setup 2 RDS Single DB instances 1 EC2 Instance Regular DLV Enabled Sysbench db.m6i.2xlarge 2xlarge c5.2xlarge MySQL 8.0.31

AWS 101
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Why you should benchmark your database using stored procedures

HammerDB

HammerDB uses stored procedures to achieve maximum throughput when benchmarking your database. HammerDB has always used stored procedures as a design decision because the original benchmark was implemented as close as possible to the example workload in the TPC-C specification that uses stored procedures.

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Dynatrace Application Security detects and blocks attacks automatically in real-time

Dynatrace

WAFs protect the network perimeter and monitor, filter, or block HTTP traffic. Compared to intrusion detection systems (IDS/IPS), WAFs are focused on the application traffic. RASP solutions sit in or near applications and analyze application behavior and traffic. How to get started.

Traffic 231
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High Availability vs. Fault Tolerance: Is FT’s 00.001% Edge in Uptime Worth the Headache?

Percona

With so much at stake, database high availability and fault tolerance have become must-have items, but many companies just aren’t certain which one they must have. This blog article will examine shared attributes of high availability (HA) and fault tolerance (FT). What does high availability mean?

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MySQL Key Performance Indicators (KPI) With PMM

Percona

In this blog, we will explore various MySQL KPIs that are basic and essential to track using monitoring tools like PMM. PMM captures the MySQL connection matrix It is important to provide appropriate max_connections and also monitor max_used_connections, max_used_connections_time to review the history of max usage to estimate the traffic.

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Real user monitoring vs. synthetic monitoring: Understanding best practices

Dynatrace

RUM, however, has some limitations, including the following: RUM requires traffic to be useful. In some cases, you will lack benchmarking capabilities. Because RUM relies on user-generated traffic, it’s hard to indicate persistent issues across the board. Real user monitoring limitations. RUM generates a lot of data.