avoid_disaster | Script backups easily to S3 using Python | Continuous Backup library

by Doist Python Version: Current License: No License

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

kandi X-RAY | avoid_disaster Summary

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

Script backups easily to Amazon S3.

Support

Quality

Security

License

Reuse

Support

avoid_disaster has a low active ecosystem.

It has 17 star(s) with 6 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

avoid_disaster has no issues reported. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of avoid_disaster is current.

Quality

avoid_disaster has 0 bugs and 0 code smells.

Security

avoid_disaster has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

avoid_disaster code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

avoid_disaster does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

avoid_disaster 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 not available. Examples and code snippets are available.

avoid_disaster saves you 52 person hours of effort in developing the same functionality from scratch.

It has 138 lines of code, 7 functions and 4 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed avoid_disaster and discovered the below as its top functions. This is intended to give you an instant insight into avoid_disaster implemented functionality, and help decide if they suit your requirements.

Upload a file to the key .
Unzip a directory .
Compress and upload a file .
Generate a unique file key .
Check if the given file exists .
Delete a file .

Get all kandi verified functions for this library.

avoid_disaster Key Features

No Key Features are available at this moment for avoid_disaster.

avoid_disaster Examples and Code Snippets

No Code Snippets are available at this moment for avoid_disaster.

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 avoid_disaster

You can download it from GitHub.
You can use avoid_disaster like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

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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