logrunner | Captures logs in memory and intelligently saves them to disk | Continuous Backup library
kandi X-RAY | logrunner Summary
kandi X-RAY | logrunner Summary
LogRunner is a daemon that stores system logs in ramdisk rather than on the hard drive. This is done to avoid constant writes to disk, which can be detrimental to the lifespan of SD cards or the amount of power used by a hard disk. It is a specialized replacement for utilities like logrotate. While it stores all logs in memory, it also has a backup function to keep memory use ideally below 15MB at all times. On system startup, LogRunner creates a ramdisk and copies all logs into it. It then continuously monitors the size of individual log files. Once a logfile exceeds the specified size (default is 1MB), it is automatically compressed and saved to a secondary backup folder. The file is then cleared to start anew. LogRunner also keeps log backups numbered, rotated and cleared based on their age.
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Top functions reviewed by kandi - BETA
- Initialize the log runner .
- Daemonize process .
- Stop the daemon process .
- Retire a log file .
- Start the daemon process .
- Run the daemon .
- Restart the server .
- Check for memory usage .
logrunner Key Features
logrunner Examples and Code Snippets
Community Discussions
Trending Discussions on Continuous Backup
QUESTION
ANSWER
Answered 2022-Feb-22 at 10:59I am not sure if you have seen this message in the portal when you created the account/also mentioned in the doc
"You will not be able to switch between the backup policies after the account has been created"
since you need to select either "Periodic" or "Continuous" at the creation of Cosmos Account, it becomes mandatory.
Update:
You will not see the above in portal anymore, you can Switch from "Periodic" to "Continous" on an existing account and that cannot be reverted. You can read more here.
QUESTION
What would be the consistency of the continuous backup of the write region if the database is using bounded staleness consistency? Will it be equivalent to strong consistent data assuming no failovers happened?
Thanks Guru
...ANSWER
Answered 2021-Nov-25 at 17:15Backups made from any secondary region will have data consistency defined by the guarantees provided by the consistency level chosen. In the case of strong consistency, all secondary region backups will have completely consistent data.
Bounded staleness will have data that may have stale or inconsistent data inside the defined staleness window (minimum 300 seconds or 100k writes). Outside of that staleness window the data will be consistent.
Data for the weaker consistency levels will have no guarantees for consistency from backups in secondary regions.
QUESTION
MongoDB has deprecated the continuous back up of data. It has recommended using CPS (Cloud provider snapshots). As far as I understood, snapshots isn't really going to be effective compared to continuous backup coz, if system breaks, then we can only be able to restore the data till the previous snapshot which isn't gonna make the database up-to-date or close to it atleast.
Am I missing something here in my understanding?
...ANSWER
Answered 2020-May-19 at 10:12Cloud provider snapshots can be combined with point in time restore to give the recovery point objective you require. With oplog based restores you can get granularity of one second.
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