Mon.May 13, 2019

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Managing MySQL Server Logs: Rotate, Compress, Retain & Delete

Scalegrid

MySQL Server generates several logs that can help you monitor the activities of the server. However, once these logs are enabled, they can grow in size and start taking up too much disk space. This is why it’s important to have an automated way of archiving and preserving MySQL log files for a certain duration, as well as deleting the old ones. In this blog post, we describe some best practices for setting up and managing MySQL error logs, general logs and slow query logs for your MySQL deployme

Servers 247
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Custom Framework Listeners

DZone

In my past articles, I’ve written about using custom listeners as part of getting the desired reporting or making your tests do what you want. I’ve always referred offhandedly to these listeners, never paying them direct attention. I figured it was finally time to actually write a full-fledged post about listeners and some useful tricks. What Is a Listener?

Testing 100
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SQL Server Always On Listeners

SQL Shack

This article on SQL Server Always On Listeners includes an overview and various connection configurations for specifying MultiSubnetFailover including SSMS, ODBC, ADO.NET, as well as MultiSubnetFailover limitations and how to connect to all IP addresses via RegisterAllProvidersIP. SQL Server Always On Availability Groups provides a HADR (high availability and disaster recovery) solution with multiple replicas. […].

Servers 43
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Using Logback With Spring

DZone

In my previous project, I learned that using logback for logging is essential for our Spring applications. At that time, I had never heard it before. Now you are maybe in the same shoes, so I decided to write a small fact-finding article about how to use logback with Spring. This article is also part of my recent case study session that I drew from my latest project.

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Performance Testing AWS Deployments

DZone

Below is the performance testing strategy used for an implementation using JMeter, BlazeMeter and Selenium Webdriver. Goals. Ninety-nine percent of the page-load times for the users accessing the applications should be less than or equal to two seconds. Users are based out of continents?—?North America (New York), Europe (London), Asia (Singapore). N concurrent users should be able to use the application without any page-load lags.