rsync-time-machine.py | Time Machine-style backups using rsync | Continuous Backup library

by basnijholt Python Version: v1.1.0 License: Apache-2.0

X-Ray Key Features Code Snippets Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | rsync-time-machine.py Summary

rsync-time-machine.py is a Python library typically used in Backup Recovery, Continuous Backup applications. rsync-time-machine.py has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However rsync-time-machine.py build file is not available. You can install using 'pip install rsync-time-machine.py' or download it from GitHub, PyPI.

Time Machine-style backups using rsync

Support

Quality

Security

License

Reuse

Support

rsync-time-machine.py has a low active ecosystem.

It has 298 star(s) with 9 fork(s). There are 6 watchers for this library.

There were 2 major release(s) in the last 12 months.

There are 2 open issues and 2 have been closed. On average issues are closed in 3 days. There are 3 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of rsync-time-machine.py is v1.1.0

Quality

rsync-time-machine.py has no bugs reported.

Security

rsync-time-machine.py has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

rsync-time-machine.py is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

rsync-time-machine.py releases are available to install and integrate.

Deployable package is available in PyPI.

rsync-time-machine.py has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions, examples and code snippets are available.

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rsync-time-machine.py Key Features

No Key Features are available at this moment for rsync-time-machine.py.

rsync-time-machine.py Examples and Code Snippets

No Code Snippets are available at this moment for rsync-time-machine.py.

Community Discussions

Trending Discussions on Continuous Backup

How to disable azure cosmos db continious backup

Consistency of Continuous backup of Azure Cosmos DB

Mongo atlas recommends cloud provider snaphots for backup - Is it effective?

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 rsync-time-machine.py

To install rsync-time-machine.py, simply clone the repository:. and use it like rsync-time-machine --help.

Support

We appreciate your feedback and contributions! If you encounter any issues or have suggestions for improvements, please file an issue on the GitHub repository. We also welcome pull requests for bug fixes or new features. Happy backing up! 💾🕰️🎉.

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