![]() This makes it extremely simple in the future to compare log data for the same time period. However, it is recommended to check your other logfiles and in general, rotate everything on a nightly basis – whether it is very small or large. So log system.7 will be rotated to system.8.gz Most Magento systems are already configured to rotate system.log and exception.log on a nightly basis. In addition, you can configure logrotate to compress the archived logs after a specific number, so if you want a weeks worth of data readily accessible, you can have log numbers 8+ compressed. Before moving the logfile to system.1 it will move system.1 to system.2 and onwards right up the chain. Logrotate will take the current logfile, for example system.log, and move it to a new file called system.1 so it is easily accessible in the same direcory as the current log. Logrotate gives you the ability to easily move the current logfile into an easily accessible backup – and backups are moved into compressed backups. Logfiles: Here we can use a tried and well tested Linux utility, logrotate. A simple nightly cleaning task – using Magerun, makes for easy maintenance. File System: Caches & Indexes: Unlike logfiles, caches and indexes tend to grow too large overtime. There really is no excuse to not do both, you don’t need live access to the data and can download and decrypt it easily if you need to. Securely means making sure to scrub any sensitive data and encrypting it. When removing the archive data, export it to a file and store it securely on a cloud service. ![]() As such, you can start with a schedule of manual archiving every 3 months and adjust it as needed. We want to know when and where the data was sent – and we want to be able to adjust the schedule based on current server activity. However, I really don’t like to have automated maintenance scripts for them. As your archive tables grow, they too will require periodic maintenance. Not only that, you can decide to set a lower limit under which you don’t archive anything – so you always have access to the last 10,000 records. Depending on your need, you can archive 100 records an hour to 1000 records an hour, whatever meets your need. This allows you to keep your active database logs under 32,000 records or so – while not performing expensive large move operations. Included in this toolset is pt-archiver which is designed to migrate small chunks of data at a time from active tables to archive tables. ![]() Database Logs: Percona distributes a free set of tools for working with MySQL and MySQL like databases. The most stress-inducing incidents are when you find out the information is needed about an hour after it was deleted. From a personal perspective, it seems to me that every time old log data has been forever purged - within 2 weeks there is suddenly a need for it and I have to explain why it was deleted. So you must consider these business needs carefully when deciding what to keep and for how long. There are also very valid business reasons for retaining all information for a long period of time, such as the Sarbanes-Oxley act of 2002. There are very valid business reasons for not retaining logs such as privacy laws in Europe. While you should keep your log files, don’t make your server have to deal with them while also processing client requests. Under some methods of access, such as memory mapped files, they can become a memory issue. They are difficult to spot check for problems. The more files there are in a single directory, the slower the system is when trying to access them – even when it is only trying to access a single file! Extremely large files, over 1GB, will become problematic in a number of ways. The modern maxim is “disk space is cheap” – and it is! The other main issue is that while the modern maxim is “disk space is cheap” – that does not mean you want to never delete active files/data. Which also meant difficulty to access such data. In the past, server storage space was at a premium – and offsite storage required tape backups to handle the quantity of data. Most of it stems from applying maxims from the past to today. There is a lot of confusion of how to run regular maintenance on logs, caches, and indexes in Magento.
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