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restoring S3 from another synced versioned S3 to a certain point in time


How can I backup or sync an Amazon S3 bucket?Copying files in the same Amazon S3 bucketRestoring phpbb forum from locally stored(not backup) filesAWS Versioning - batch/mass restore to last version that isn't 0kb?Using SMO Restore Class when there are multiple backup points in .bak fileRestoring Firebird 2.5 with fbsvcmgrCopy S3 Bucket including versionsHow-to restore duplicity/duply backup from unknown archiveS3 - cross region replication statusHow to restore millions of file's some time old version within a directory in S3 bucket?






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0















We use an s3 as a data store where files are delivered from kafka and processed by spark later on. Given that the process of loading files into kafka cannot reproduce files after a while (as the source is gone in about 24 hours ) we need to backup s3 in case we need to re-run transformations (in case S3 files or even S3 bucket itself are deleted).



In regards to object backup, it seems that S3 versioning could be helfpul,(we always add new files, and do not modify existing ones, however it would not fully protect from malicious action that would delete the files and their version id.



So it seems having some backup into another S3 would be helpful (permission here are different from the source S3 so not the same users access different S3).



In a traditional way we would do a a full backup once a week and for the next seven day we would incremental and keep them around for a while.



Seems like syncing to the backup S3 (we do not sync deleted files) and having a way to restore back the top of versioned files older than a certain timestamp basically it would restore S3 to a certain timestamp.



Is there a tool or way that can achieve this (short of writing our own script)?










share|improve this question




























    0















    We use an s3 as a data store where files are delivered from kafka and processed by spark later on. Given that the process of loading files into kafka cannot reproduce files after a while (as the source is gone in about 24 hours ) we need to backup s3 in case we need to re-run transformations (in case S3 files or even S3 bucket itself are deleted).



    In regards to object backup, it seems that S3 versioning could be helfpul,(we always add new files, and do not modify existing ones, however it would not fully protect from malicious action that would delete the files and their version id.



    So it seems having some backup into another S3 would be helpful (permission here are different from the source S3 so not the same users access different S3).



    In a traditional way we would do a a full backup once a week and for the next seven day we would incremental and keep them around for a while.



    Seems like syncing to the backup S3 (we do not sync deleted files) and having a way to restore back the top of versioned files older than a certain timestamp basically it would restore S3 to a certain timestamp.



    Is there a tool or way that can achieve this (short of writing our own script)?










    share|improve this question
























      0












      0








      0








      We use an s3 as a data store where files are delivered from kafka and processed by spark later on. Given that the process of loading files into kafka cannot reproduce files after a while (as the source is gone in about 24 hours ) we need to backup s3 in case we need to re-run transformations (in case S3 files or even S3 bucket itself are deleted).



      In regards to object backup, it seems that S3 versioning could be helfpul,(we always add new files, and do not modify existing ones, however it would not fully protect from malicious action that would delete the files and their version id.



      So it seems having some backup into another S3 would be helpful (permission here are different from the source S3 so not the same users access different S3).



      In a traditional way we would do a a full backup once a week and for the next seven day we would incremental and keep them around for a while.



      Seems like syncing to the backup S3 (we do not sync deleted files) and having a way to restore back the top of versioned files older than a certain timestamp basically it would restore S3 to a certain timestamp.



      Is there a tool or way that can achieve this (short of writing our own script)?










      share|improve this question














      We use an s3 as a data store where files are delivered from kafka and processed by spark later on. Given that the process of loading files into kafka cannot reproduce files after a while (as the source is gone in about 24 hours ) we need to backup s3 in case we need to re-run transformations (in case S3 files or even S3 bucket itself are deleted).



      In regards to object backup, it seems that S3 versioning could be helfpul,(we always add new files, and do not modify existing ones, however it would not fully protect from malicious action that would delete the files and their version id.



      So it seems having some backup into another S3 would be helpful (permission here are different from the source S3 so not the same users access different S3).



      In a traditional way we would do a a full backup once a week and for the next seven day we would incremental and keep them around for a while.



      Seems like syncing to the backup S3 (we do not sync deleted files) and having a way to restore back the top of versioned files older than a certain timestamp basically it would restore S3 to a certain timestamp.



      Is there a tool or way that can achieve this (short of writing our own script)?







      amazon-web-services amazon-s3 backup restore






      share|improve this question













      share|improve this question











      share|improve this question




      share|improve this question










      asked Mar 26 at 16:26









      Greg HillGreg Hill

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