From File Systems to the Cloud and Back




From File Systems to the Cloud and Back

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Cloud storages today are a great alternative to storing data on local computer or in NAS storage. Started with Amazon S3, such solutions are offered by a lots of companies, including Microsoft with their Azure Blob Storage.


The advantages of cloud storage are almost infinite storage capability (usage as much as you need, not as you have), the distance between the storage and your place (the information will not be lost in an accident or fire, and gain access to of 3rd parties to your information is significantly restricted), lowered cost of data management.


At the exact same time cloud storage works in the way that does not match regular approaches to storage access, such as hierarchical file systems and relational databases. Internally developed as substantial tables with an index and BLOB field for information, they don't offer enough versatility that submit systems or database management systems can offer to the developer and user. The developer requires to perform translation between the data he has in the application and the back-end cloud storage.


One more considerable disadvantage is a distinction in between APIs, provided by different services. While the majority of services offer so-called REST API, this API is in truth a format for demands and responses sent over HTTP. Demand commands, specifications and functions used by services, differ considerably. Due to this switching between cloud services needs writing of separate code for each API.


Lastly, the primary aspect of (in) approval of storage based options is a question of guaranteeing data safety. Though service providers inform us about encryption used on their side, such encryption is carried out on their systems and there's no warranty that it's really dependable and if it is even performed. So safety of the information is a genuine problem and not a fantasy of cloud storage challengers.


Luckily, there exists a possibility to deal with all of the above issues in a simple and really cost-efficient way.


Strong File System (SolFS) offers the missing out on pieces that fit well into cloud storage architecture.


As a lot of file systems, SolFS is page-based. This indicates that it operates not with random sequences of bytes, however with blocks (sectors on the disk, pages in memory) of repaired size. This makes it simple to back SolFS with almost any storage.


To make such support possible SolFS supports callback mode, in which it asks your application to shop or recover the block to or from the back-end storage. So all you need to do is implement 2 simple functions "put the page #X to the cloud storage" and "recover the page #X from the storage" in your code, which's all - you have a file system in the cloud!


However that's not all SolFS can use. The file system uses a number of innovative functions, such as built-in encryption and compression (carried out in your corner, if you keep in mind the cloud security problem referenced above), almost endless possibilities for saving metadata (various extra info about the main file or data), and to perform SQL-like search for files. Furthermore, if you need customized file encryption (eg. using secrets kept on cryptographic hardware tokens), this is possible with two other callbacks - "secure page #X" and "decrypt page #X".


And what if you need not a file system, however a relational database? No problems either! You can use your preferred DBMS and have it save it's files on the virtual disk, developed by SolFS (System Edition). This way the database files are stored in the cloud storage, and your application works with them via database management system of your choice.


One more benefit of SolFS is that moving from one cloud storage service to another is as basic as rewriting two standard functions for saving and retrieving of pages to and from the cloud storage.


You can say that you still need the code, that works with the cloud. This is proper, however it's much easier to write the code that stores and retrieves fixed-sized files (each page has the exact same size) by page number, than to try to execute a relational database or a file system in the cloud yourself.


If you don't want to compose cloud-specific code at all, we have an option for you too. It's CloudBlackbox - the elements that offer uniform access to different cloud storage services. These elements both provide consistent access to cloud storages (Amazon S3, Microsoft Azure at the moment with more to come) and provide enhanced encryption abilities, such as certificate-based encryption of data. So if you are moving to the cloud, you do not need to dispose of recognized paradigms and existing code. Updating them to modern-day industry offerings is simple and fast.

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