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Build scalable, durable, and secure data-protection solutions with AWS
The exponential growth of data worldwide has made managing backups more difficult than ever before. With traditional methods such as tape libraries and secondary sites falling behind, many organizations are extending backup targets to the cloud. While the cloud offers better scalability, building cloud-enabled backup solutions requires careful consideration of existing IT investments, recovery objectives, and available resources.
This is where Amazon Web Services (AWS) can help. We offer the most storage services, data-transfer methods, and networking options to build solutions that protect your data with unmatched durability and security. Learn more about Benefits of AWS Backup, the AWS Partner Network for Storage & Backup, Use Cases, Customer Case Studies, and Evolving Backup into Archive & Disaster Recovery.
Learn about the benefits customers are realizing by working with AWS to extend backup targets to the cloud.
Data Durability
Protect backups with 99.999999999% data durability. Copies of all data uploaded to Amazon S3 and Amazon S3 Glacier are created and stored across at least three devices in a single AWS Region. Even when following best practices, on-premises capabilities cannot match AWS’ durability due to our global scale and security.
Flexibility & Scalability
Scale up your backup resources in minutes as data requirements change . With AWS, you no longer need to wait weeks-to-months to procure tapes, disks, and other IT resources to increase your storage infrastructure. This ability to scale on demand can improve operational flexibility, innovation, and business agility.
Cost Efficiencies
Spend efficiently with pay-as-you-go pricing, cost-management tools, data lifecycle policies, and the S3 Storage Classes, including S3 Standard-Infrequent Access, S3 One Zone-Infrequent Access, S3 Glacier, and S3 Glacier Deep Archive. With these capabilities, you can cost-effectively protect data in the cloud without sacrificing performance. Sending backups to AWS can be the first step in reducing total cost of ownership and your data center footprint.
Backup for All Data Types
Back up all data types with AWS. Our storage services for object (Amazon S3 and Amazon S3 Glacier), file (Amazon Elastic File System), and block (Amazon Elastic Block Storage) support industry-leading scalability, availability, durability, and security so your backups are protected and available when needed. Learn more »
Security & Compliance
Protect backups with a data center and network architecture built for the most security-sensitive organizations. Manage access, detect irregular activity, encrypt data, and perform audits with AWS Security services. AWS also maintains compliance programs to help you meet all of your regulatory requirements.
Data-Transfer Methods
Work with AWS to optimize data transfers over the Internet (Amazon Direct Connect and S3 Transfer Acceleration), move petabytes to exabytes of data offline (AWS Snowball,AWS Snowmobile, and AWS Snowball Edge), and deploy AWS Storage Gateway to connect on-premises operations to AWS. Learn more »
Backing Up to AWS
Learn more about protecting your growing data stores, while enhancing security and durability
Learn more about B&R AWS services and experiment with Tutorials, Projects, and Guides.
The AWS Partner Network for Storage & Backup
The AWS Partner Network (APN) is the largest community of cloud consulting and technology providers. All APN partners have proven technical expertise of the AWS platform and customer success with their products and services. AWS Storage Competency partners offer AWS-integrated storage solutions for primary storage, backup & restore, disaster recovery, and data archive. Working with these partners can help your organization (particularly if you're managing legacy infrastructure and applications) deploy capabilities that send data to the AWS Cloud for durable storage and protection.
Another customer resource is the AWS Marketplace, an online catalogue offering over 3,500 software listings from over 1,100 independent software vendors, where you can explore, purchase, and deploy off-the-shelf cloud storage solutions. All listed solutions support a variety of AWS storage services, and are ready for deployment and immediate use.
Learn how you can work with partners to back up data to AWS.
Common Backup Use Cases
Hybrid Cloud Backup
With cloud connectors and gateways, customers can begin backing up their on-premises data to the AWS Cloud for durable data protection.
Tape Replacement
Use AWS Storage Gateway to create virtual tape libraries and eliminate the responsibilities of overseeing procurement cycles and error-prone processes.
Database Backup
Many AWS database services (relational and non-relational) have built-in, automated backup capabilities to protect your data and applications.
Data Lifecycle Management
Amazon S3 offers different storage classes to store less frequently accessed data at variable costs. Use lifecycle policies to automate tiering or do this on demand.
Global Data Resiliency
Amazon S3 offers cross-region replication to replicate data in other AWS Regions for compliance, security, disaster recovery, and other use cases.
Archive & Compliance
Organizations with data-retention requirements can use Amazon S3, S3 Glacier, and S3 Glacier Deep Archive for low-cost, long-term storage that has built-in capabilities to enforce WORM controls.
Customer Case Studies
King County uses AWS for long-term archiving and backup solutions.
Thomson Reuters leverages Amazon S3 to store and protect permanent backups.
Unliever uses Amazon S3 and Amazon EBS snapshots to protect backup data in the cloud.
Hess uses Amazon EBS snapshots to create nightly backups, and then stores database backups in Amazon S3 and the S3 Glacier storage class for long-term archiving.
Evolving Beyond Backup
Archive
Once backups are in the AWS Cloud, you can cost-effectively archive them. S3 Glacier and S3 Glacier Deep Archive are designed to deliver 99.99999999999% durability, have capabilities to meet compliance requirements related to data retention, and cost $0.004 per gigabyte per month and $0.00099 per gigabyte per month, respectively.
Disaster Recovery
Another benefit of having backup data in AWS is the access you have to cloud-native tools that can evolve your backup solution into one for disaster recovery. Use AWS services to rebuild on-premises environments and create resiliency against natural disasters and failures.
Get Started with AWS
A parallel file system is a software component designed to store data across multiple networked servers and to facilitate high-performance access through simultaneous, coordinated input/output operations (IOPS) between clients and storage nodes.
A parallel file system breaks up a data set and distributes, or stripes, the blocks to multiple storage drives, which can be located in local and/or remote servers. Users do not need to know the physical location of the data blocks to retrieve a file. The system uses a global namespace to facilitate data access. Parallel file systems often use a metadata server to store information about the data, such as the file name, location and owner.
A parallel file system reads and writes data to distributed storage devices using multiple I/O paths concurrently, as part of one or more processes of a computer program. The coordinated use of multiple I/O paths can provide a significant performance benefit, especially when streaming workloads that involve a large number of clients.
Capacity and bandwidth can be scaled to accommodate enormous quantities of data. Storage features may include high availability, mirroring, replication and snapshots.
Common use cases of parallel file systems
Parallel file systems historically have targeted high-performance computing (HPC) environments that require access to large files, massive quantities of data or simultaneous access from multiple compute servers. Applications include climate modeling, computer-aided engineering, exploratory data analysis, financial modeling, genomic sequencing, machine learning and artificial intelligence, seismic processing, video editing and visual effects rendering.
Users of parallel file systems span national laboratories, government agencies and universities, as well as industries such as financial services, life sciences, manufacturing, media and entertainment, and oil and gas.
Parallel file system implementations may span thousands of server nodes and manage petabytes or exabytes of data. Users typically deploy high-speed networking such as fast Ethernet, InfiniBand, or proprietary technologies to optimize the I/O path and enable greater bandwidth.
Parallel file system vs. distributed file system
A parallel file system is a type of distributed file system. Both distributed and parallel file systems can spread data across multiple storage servers, scale to accommodate petabytes of data, and support high bandwidth.
Distributed file systems typically support a shared global namespace, as parallel file systems do. But with a distributed file system, all client systems accessing a given portion of the namespace generally go through the same storage node to access the data and metadata, even if parts of the file are stored on other servers. With a parallel file system, the client systems have direct access to all of the storage nodes for data transfer without having to go through a single coordinating server.
Additional distinctions may include:
- A distributed file system generally uses a standard network file access protocol, such as NFS or SMB, to access a storage server. A parallel file system generally requires the installation of client-based software drivers to access the shared storage via high-speed networks such as Ethernet, InfiniBand, and OmniPath.
- A distributed file system often stores a file on a single storage node, whereas a parallel file system generally breaks up the file and stripes the data blocks across multiple storage nodes.
- Distributed file system deployments can store data on the application servers or centralized servers, while typical parallel file system deployments separate the compute and storage servers for performance reasons.
- Distributed file systems tend to target loosely coupled,>
Examples of parallel file systems
Two of the most prominent examples of parallel file systems are IBM's Spectrum Scale, built upon its General Parallel File System (GPFS), and the open source Lustre file system.
IBM’s GPFS/Spectrum Scale is a block-based parallel file system that uses blocks of tunable width and dynamic metadata for information distribution. Spectrum Scale supports native AIX, Linux and Windows clients, and offers features such as snapshots, encryption and built-in data policy management.
Lustre is an object-based parallel file system with file regions that can vary in length and static metadata for information distribution. Lustre supports a range of Linux distributions and offers features such as scaling of metadata servers, an online consistency checker and quality of service.
Additional examples of parallel file systems include:
Panasas PanFS. PanFS is a parallel file system developed by Panasas Inc. It uses erasure codes to layer files over an object-based storage pool and dynamic metadata for information distribution. PanFS supports native Linux and macOS clients, and is sold in a pre-configured, scale-out appliance form factor.
Parallel Virtual File System. PVFS is an open source file system for Linux-based clusters developed and supported by the Parallel Architecture Research Laboratory at Clemson University and the Mathematics and Computer Science Division at Argonne National Laboratory. PVFS is based on Vesta, which was developed at IBM’s T.J. Watson Research Center.
OrangeFS. Open source parallel file system targeting parallel computation environments; branch of PVFS created by Clemson developers to support a broader range of use cases and features.