Seagate Kinetic Cloud and Object Storage I/O platform (and Ethernet HDD)

Storage I/O trends

Seagate Kinetic Cloud and Object Storage I/O platform

Seagate announced today their Kinetic platform and drive designed for use by object API accessed storage including for cloud deployments. The Kinetic platform includes Hard Disk Drives (HDD) that feature 1Gb Ethernet (1 GbE) attached devices that speak object access API or what Seagate refers to as a key / value.

Seagate Kinetic architecture

What is being announced with Seagate Kinetic Cloud and Object (Ethernet HDD) Storage?

  • Kinetic Open Storage Platform – Ethernet drives, key / value (object access) API, partner software
  • Software developer’s kits (SDK) – Developer tools, documentation, drive simulator, code libraries, code samples including for SwiftStack and Riak.
  • Partner ecosystem

What is Kinetic?

While it has 1 GbE ports, do not expect to be able to use those for iSCSI or NAS including NFS, CIFS or other standard access methods. Being Ethernet based, the Kinetic drive only supports the key value object access API. What this means is that applications, cloud or object stacks, key value and NoSQL data repositories, or other software that adopt the API can communicate directly using object access.

Seagate Kinetic storage

Internal, the HDD functions as a normal drive would store and accessing data, the object access function and translation layer shifts from being in an Object Storage Device (OSD) server node to inside the HDD. The Kinetic drive takes on the key value API personality over 1 GbE ports instead of traditional Logical Block Addressing (LBA) and Logical Block Number (LBN) access using 3g, 6g or emerging 12g SAS or SATA interfaces. Instead Kinetic drives respond to object access (aka what Seagate calls key / value) API commands such as Get, Put among others. Learn more about object storage, access and clouds at www.objectstoragecenter.com.

Storage I/O trends

Some questions and comments

Is this the same as what was attempted almost a decade ago now with the T10 OSD drives?

Seagate claims no.

What is different this time around with Seagate doing a drive that to some may vaguely resemble the predecessor failed T10 OSD approach?

Industry support for object access and API development have progressed from an era of build it and they will come thinking, to now where the drives are adapted to support current cloud, object and key value software deployment.

Wont 1GbE ports be too slow vs. 12g or 6g or even 3g SAS and SATA ports?

Keep in mind those would be apples to oranges comparisons based on the protocols and types of activity being handled. Kinetic types of devices initially will be used for large data intensive applications where emphasis is on storing or retrieving large amounts of information, vs. low latency transactional. Also, keep in mind that one of the design premises is to keep cost low, spread the work over many nodes, devices to meet those goals while relying on server-side caching tools.

Storage I/O trends

Does this mean that the HDD is actually software defined?

Seagate or other HDD manufactures have not yet noticed the software defined marketing (SDM) bandwagon. They could join the software defined fun (SDF) and talk about a software defined disk (SDD) or software defined HDD (SDHDD) however let us leave that alone for now.

The reality is that there is far more software that exists in a typical HDD than what is realized. Sure some of that is packaged inside ASICs (Application Specific Integrated Circuits) or running as firmware that can be updated. However, there is a lot of software running in a HDD hence the need for power yet energy-efficient processors found in those devices. On a drive per drive basis, you may see a Kinetic device consume more energy vs. other equivalence HDDs due to the increase in processing (compute) needed to run the extra software. However that also represents an off-load of some work from servers enabling them to be smaller or do more work.

Are these drives for everybody?

It depends on if your application, environment, platform and technology can leverage them or not. This means if you view the world only through what is new or emerging then these drives may be for all of those environments, while other environments will continue to leverage different drive options.

Object storage access

Does this mean that block storage access is now dead?

Not quite, after all there is still some block activity involved, it is just that they have been further abstracted. On the other hand, many applications, systems or environments still rely on block as well as file based access.

What about OpenStack, Ceph, Cassandra, Mongo, Hbase and other support?

Seagate has indicated those and others are targeted to be included in the ecosystem.

Seagate needs to be careful balancing their story and message with Kinetic to play to and support those focused on the new and emerging, while also addressing their bread and butter legacy markets. The balancing act is communicating options, flexibility to choose and adopt the right technology for the task without being scared of the future, or clinging to the past, not to mention throwing the baby out with the bath water in exchange for something new.

For those looking to do object storage systems, or cloud and other scale based solutions, Kinetic represents a new tool to do your due diligence and learn more about.

Ok, nuff said (for now)

Cheers
Gs

Greg Schulz – Author Cloud and Virtual Data Storage Networking (CRC Press), The Green and Virtual Data Center (CRC Press) and Resilient Storage Networks (Elsevier)

All Comments, (C) and (TM) belong to their owners/posters, Other content (C) Copyright 2006-2024 Server StorageIO and UnlimitedIO LLC All Rights Reserved

Welcome to the Cloud Bulk Object Storage Resources Center

Updated 8/31/19

Cloud Bulk Big Data Software Defined Object Storage Resources

server storage I/O trends Object Storage resources

Welcome to the Cloud, Big Data, Software Defined, Bulk and Object Storage Resources Center Page objectstoragecenter.com.

This object storage resources, along with software defined, cloud, bulk, and scale-out storage page is part of the server StorageIOblog microsite collection of resources. Software-defined, Bulk, Cloud and Object Storage exist to support expanding and diverse application data demands.

Other related resources include:

  • Software Defined, Cloud, Bulk and Object Storage Fundamentals
  • Software Defined Data Infrastructure Essentials book (CRC Press)
  • Cloud, Software Defined, Scale-Out, Object Storage News Trends
  •  Object storage SDDC SDDI
    Via Software Defined Data Infrastructure Essentials (CRC Press 2017)

    Bulk, Cloud, Object Storage Solutions and Services

    There are various types of cloud, bulk, and object storage including public services such as Amazon Web Services (AWS) Simple Storage Service (S3), Backblaze, Google, Microsoft Azure, IBM Softlayer, Rackspace among many others. There are also solutions for hybrid and private deployment from Cisco, Cloudian, CTERA, Cray, DDN, Dell EMC, Elastifile, Fujitsu, Vantera/HDS, HPE, Hedvig, Huawei, IBM, NetApp, Noobaa, OpenIO, OpenStack, Quantum, Rackspace, Rozo, Scality, Spectra, Storpool, StorageCraft, Suse, Swift, Virtuozzo, WekaIO, WD, among many others.

    Bulk Cloud Object storage SDDC SDDI
    Via Software Defined Data Infrastructure Essentials (CRC Press 2017)

    Cloud products and services among others, along with associated data infrastructures including object storage, file systems, repositories and access methods are at the center of bulk, big data, big bandwidth and little data initiatives on a public, private, hybrid and community basis. After all, not everything is the same in cloud, virtual and traditional data centers or information factories from active data to in-active deep digital archiving.

    Object Context Matters

    Before discussing Object Storage lets take a step back and look at some context that can clarify some confusion around the term object. The word object has many different meanings and context, both inside of the IT world as well as outside. Context matters with the term object such as a verb being a thing that can be seen or touched as well as a person or thing of action or feeling directed towards.

    Besides a person, place or physical thing, an object can be a software-defined data structure that describes something. For example, a database record describing somebody’s contact or banking information, or a file descriptor with name, index ID, date and time stamps, permissions and access control lists along with other attributes or metadata. Another example is an object or blob stored in a cloud or object storage system repository, as well as an item in a hypervisor, operating system, container image or other application.

    Besides being a verb, an object can also be a noun such as disapproval or disagreement with something or someone. From an IT context perspective, an object can also refer to a programming method (e.g. object-oriented programming [oop], or Java [among other environments] objects and classes) and systems development in addition to describing entities with data structures.

    In other words, a data structure describes an object that can be a simple variable, constant, complex descriptor of something being processed by a program, as well as a function or unit of work. There are also objects unique or with context to specific environments besides Java or databases, operating systems, hypervisors, file systems, cloud and other things.

    The Need For Bulk, Cloud and Object Storage

    There is no such thing as an information recession with more data being generated, moved, processed, stored, preserved and served, granted there are economic realities. Likewise as a society our dependence on information being available for work or entertainment, from medical healthcare to social media and all points in between continues to increase (check out the Human Face of Big Data).

    In addition, people and data are living longer, as well as getting larger (hence little data, big data and very big data). Cloud products and services along with associated object storage, file systems, repositories and access methods are at the center of big data, big bandwidth and little data initiatives on a public, private, hybrid and community basis. After all, not everything is the same in cloud, virtual and traditional data centers or information factories from active data to in-active deep digital archiving.

    Click here to view (and hear) more content including cloud and object storage fundamentals

    Click here to view software defined, bulk, cloud and object storage trend news

    cloud object storage

    Where to learn more

    The following resources provide additional information about big data, bulk, software defined, cloud and object storage.



    Via InfoStor: Object Storage Is In Your Future
    Via FujiFilm IT Summit: Software Defined Data Infrastructures (SDDI) and Hybrid Clouds
    Via MultiChannel: After ditching cloud business, Verizon inks Virtual Network Services deal with Amazon
    Via MultiChannel: Verizon Digital Media Services now offers integrated Microsoft Azure Storage
    Via StorageIOblog: AWS EFS Elastic File System (Cloud NAS) First Preview Look
    Via InfoStor: Cloud Storage Concerns, Considerations and Trends
    Via InfoStor: Object Storage Is In Your Future
    Via Server StorageIO: April 2015 Newsletter Focus on Cloud and Object storage
    Via StorageIOblog: AWS S3 Cross Region Replication storage enhancements
    Cloud conversations: AWS EBS, Glacier and S3 overview
    AWS (Amazon) storage gateway, first, second and third impressions
    Cloud and Virtual Data Storage Networking (CRC Book)

    View more news, trends and related cloud object storage activity here.

    Videos and podcasts at storageio.tv also available via Applie iTunes.

    Human Face of Big Data
    Human Face of Big Data (Book review)

    Seven Databases in Seven weeks Seven Databases in Seven Weeks (Book review)

    Additional learning experiences along with common questions (and answers), as well as tips can be found in Software Defined Data Infrastructure Essentials book.

    Software Defined Data Infrastructure Essentials Book SDDC

    What This All Means

    Object and cloud storage are in your future, the questions are when, where, with what and how among others.

    Watch for more content and links to be added here soon to this object storage center page including posts, presentations, pod casts, polls, perspectives along with services and product solutions profiles.

    Ok, nuff said, for now.

    Gs

    Greg Schulz – Microsoft MVP Cloud and Data Center Management, VMware vExpert 2010-2017 (vSAN and vCloud). Author of Software Defined Data Infrastructure Essentials (CRC Press), as well as Cloud and Virtual Data Storage Networking (CRC Press), The Green and Virtual Data Center (CRC Press), Resilient Storage Networks (Elsevier) and twitter @storageio. Courteous comments are welcome for consideration. First published on https://storageioblog.com any reproduction in whole, in part, with changes to content, without source attribution under title or without permission is forbidden.

    All Comments, (C) and (TM) belong to their owners/posters, Other content (C) Copyright 2006-2024 Server StorageIO and UnlimitedIO. All Rights Reserved. StorageIO is a registered Trade Mark (TM) of Server StorageIO.

    Seven databases in seven weeks, a book review of NoSQL databases

    StorageIO industry trends cloud, virtualization and big data

    Seven Databases in Seven Weeks (A Guide to Modern Databases and the NoSQL Movement) is a book written Eric Redmond (@coderoshi) and Jim Wilson (@hexlib), part of The Pragmatic Programmers (@pragprog) series that takes a look at several non SQL based database systems.

    Cover image of seven databases in seven weeks book image

    Coverage includes PostgreSQL, Riak, Apache HBase, MongoDB, Apache CouchDB, Neo4J and Redis with plenty of code and architecture examples. Also covered include relational vs. key value, columnar and document based systems among others.

    The details: Seven Databases in Seven Weeks
    Paperback: 352 pages
    Publisher: Pragmatic Bookshelf (May 18, 2012)
    Language: English
    ISBN-10: 1934356921
    ISBN-13: 978-1934356920
    Product Dimensions: 7.5 x 0.8 x 9 inches

    Buzzwords (or keywords) include availability, consistency, performance and related themes. Others include MongoDB, Cassandra, Redis, Neo4J, JSON, CouchDB, Hadoop, HBase, Amazon Dynamo, Map Reduce, Riak (Basho) and Postgres along with data models including relational, key value, columnar, document and graph along with big data, little data, cloud and object storage.

    While this book is not a how to tutorial or installation guide, it does give a deep dive into the different databases covered. The benefit is gaining an understanding of what the different databases are good for, strengths, weakness, where and when to use or choose them for various needs.

    Look inside seven databases in seven weeks book image
    A look inside my copy of Seven Databases in Seven Days

    Who should this book includes applications developers, programmers, Cloud, big data and IT/ICT architects, planners and designers along with database, server, virtualization and storage professionals. What I like about the book is that it is a great intro and overview along with sufficient depth to understand what these different solutions can and cannot do, when, where and why to use these tools for different situations in a quick read format and plenty of detail.

    Would I recommend buying it: Yes, I bought a copy myself on Amazon.com, get your copy by clicking here.

    Ok, nuff said

    Cheers gs

    Greg Schulz – Author Cloud and Virtual Data Storage Networking (CRC Press, 2011), The Green and Virtual Data Center (CRC Press, 2009), and Resilient Storage Networks (Elsevier, 2004)

    twitter @storageio

    All Comments, (C) and (TM) belong to their owners/posters, Other content (C) Copyright 2006-2012 StorageIO and UnlimitedIO All Rights Reserved