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How to Improve Amazon S3 Data Protection Using Cross-Region Replication

How to Improve Amazon S3 Data Protection Using Cross-Region Replication

By default, Amazon S3 stores multiple copies of your data inside different facilities within one AWS Region. In case of region-level disaster like tornado, flood or earthquake all these facilities will experience outage and despite all precautions your crucial data may be lost. Consequences are catastrophic, especially in case of user-generated content that can’t be easily reproduced.

This article explains how to Configure Cross-Region Replication between buckets in different AWS Regions to achieve region-level data protection. Continue reading

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AWS vs Azure vs Google Cloud

Compare AWS, Microsoft Azure and Google Cloud for Backup

Compare AWS, Microsoft Azure and Google Cloud for Backup

Cloud users typically choose a multi-vendor approach for their data backup and storage tasks. Using different solutions leads to more flexibility and often allows to cut overall expenditures. Azure, AWS, and Google are among the world's top providers of cloud storage services, so it is important to know about their differences in order to choose the right vendor for each particular need.
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OpenStack Keystone Verification Explained

OpenStack Keystone Verification Explained

To continue our conversation about authentication and authorization, we took a decision to consider OpenStack Keystone. This technology allows to make sure of the user’s identity and enhance the security of requests sent to OpenStack Services API without making outside access more complicated.

This article will be of use to everybody who wants to get an idea about OpenStack authentication and take a close look at its basic principles and logic. Continue reading

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How to Speed Up Data Retrieval from Google Cloud Storage Nearline with On-Demand I/O

How to Speed Up Data Retrieval from Google Cloud Storage Nearline with On-Demand I/O

On-Demand I/O is the Google Cloud Storage Nearline feature that allows you to speed up information retrieval. If you’re not satisfied with the standard reading throughput of 4MB/s per 1TB of stored data you can switch it on to boost the download speed. The typical use case for On-Demand I/O is a disaster recovery, when you need to restore some crucial data as soon as possible.

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How to Back Up to Google Nearline

How to Back Up to Google Nearline

Google Nearline Storage is a low-cost storage service that can be used for data archiving, online backup, and cloud disaster recovery. Data is available instantly, not within hours or days. This makes Nearline perfectly suitable for the storage of large amounts of infrequently accessed data which, nevertheless, can be accessed and retrieved quickly whenever necessary.

In other words, Google Nearline is a perfect place to store your backups. However, bear in mind, that Google Nearline is one of the three different storage classes within Google Cloud Storage. In this article, we will show how to set up backup to Google Nearline with MSP360 Backup

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Temporary Restore from Glacier

Temporary Restore from Glacier

After the object has been archived using the Glacier storage option, the object's data will be removed from S3 but its index entry will remain as-is. The S3 storage class of an object that has been archived in Glacier will be set to GLACIER.

The advantages are reduced costs of storage. However, if you wish to retrieve these objects you need to plan in advance because of the restore times associated with Glacier storage.

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