logrunner | Captures logs in memory and intelligently saves them to disk | Continuous Backup library

 by   peakwinter Python Version: Current License: GPL-3.0

kandi X-RAY | logrunner Summary

kandi X-RAY | logrunner Summary

logrunner is a Python library typically used in Backup Recovery, Continuous Backup applications. logrunner has no bugs, it has no vulnerabilities, it has build file available, it has a Strong Copyleft License and it has low support. You can download it from GitHub.

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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            kandi-support Support

              logrunner has a low active ecosystem.
              It has 11 star(s) with 3 fork(s). There are 4 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 3 open issues and 0 have been closed. On average issues are closed in 1115 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of logrunner is current.

            kandi-Quality Quality

              logrunner has 0 bugs and 0 code smells.

            kandi-Security Security

              logrunner has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              logrunner code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              logrunner is licensed under the GPL-3.0 License. This license is Strong Copyleft.
              Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

            kandi-Reuse Reuse

              logrunner releases are not available. You will need to build from source code and install.
              Build file is available. You can build the component from source.
              Installation instructions are available. Examples and code snippets are not available.
              It has 229 lines of code, 11 functions and 4 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed logrunner and discovered the below as its top functions. This is intended to give you an instant insight into logrunner implemented functionality, and help decide if they suit your requirements.
            • 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 .
            Get all kandi verified functions for this library.

            logrunner Key Features

            No Key Features are available at this moment for logrunner.

            logrunner Examples and Code Snippets

            No Code Snippets are available at this moment for logrunner.

            Community Discussions

            QUESTION

            How to disable azure cosmos db continious backup
            Asked 2022-Feb-22 at 10:59

            I enabled the Azure cosmos DB continuous backup for one of my Cosmos DBs.
            How can I disable it? It just says you have successfully enrolled in continuous backup.

            ...

            ANSWER

            Answered 2022-Feb-22 at 10:59

            I 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.

            Source https://stackoverflow.com/questions/69347197

            QUESTION

            Consistency of Continuous backup of Azure Cosmos DB
            Asked 2021-Nov-25 at 17:15

            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 17:15

            Backups 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.

            Source https://stackoverflow.com/questions/70099953

            QUESTION

            Mongo atlas recommends cloud provider snaphots for backup - Is it effective?
            Asked 2020-May-19 at 10:12

            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 10:12

            Cloud 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.

            Source https://stackoverflow.com/questions/61886736

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install logrunner

            Download the file, unzip, cd to the directory, then run sudo ./setup.py install.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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            CLONE
          • HTTPS

            https://github.com/peakwinter/logrunner.git

          • CLI

            gh repo clone peakwinter/logrunner

          • sshUrl

            git@github.com:peakwinter/logrunner.git

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