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Cloud conversations: AWS EBS, Glacier and S3 overview (Part II S3)

Storage I/O industry trends image

Amazon Web Services (AWS) recently added EBS Optimized support for enhanced bandwidth EC2 instances (read more here). This industry trends and perspective cloud conversation is the second (looking at S3 object storage) in a three-part series companion to the AWS EBS optimized post found here. Part I is here (closer look at EBS) and part III is here (tying it all together).

AWS image via Amazon.com

For those not familiar, Simple Storage Services (S3), Glacier and Elastic Block Storage (EBS) are part of the AWS cloud storage portfolio of services. With S3, you specify a region where a bucket is created that will contain objects that can be written, read, listed and deleted. You can create multiple buckets in a region with unlimited number of objects ranging from 1 byte to 5 Tbytes in size per bucket. Each object has a unique, user or developer assigned access key. In addition to indicating which AWS region, S3 buckets and objects are provisioned using different levels of availability, durability, SLA’s and costs (view S3 SLA’s here).

AWS S3 example image

Cost will vary depending on the AWS region being used, along if Standard or Reduced Redundancy Storage (RSS) selected. Standard S3 storage is designed with 99.999999999% durability (how many copies exists) and 99.99% availability (how often can it be accessed) on an annual basis capable of two data centers becoming un-available.

As its name implies, for a lower fee and level of durability, S3 RRS has an annual durability of 99.999% and availability of 99.99% capable of a single data center loss. In the following figure durability is how many copies of data exist spread across different servers and storage systems in various data centers and availability zones.

cloud storage and object storage across availability zone image

What would you put in RRS vs. Standard S3 storage?

Items that need some level of persistence that can be refreshed, recreated or restored from some other place or pool of storage such as thumbnails or static content or read caches. Other items would be those that you could tolerant some downtime while waiting for data to be restored, recovered or rebuilt from elsewhere in exchange for a lower cost.

Different AWS regions can be chosen for regulatory compliance requirements, performance, SLA’s, cost and redundancy with authentication mechanisms including encryption (SSL and HTTPS) to make sure data is kept secure. Various rights and access can be assigned to objects including making them public or private. In addition to logical data protection (security, identity and access management (IAM), encryption, access control) policies also apply to determine level of durability and availability or accessibility of buckets and objects. Other attributes of buckets and objects include life-cycle management polices and logging of activity to the items. Also part of the objects are meta data containing information about the data being stored shown in a generic example below.

Cloud storage and object storage spread across availability zones figure

Access to objects is via standard REST and SOAP interfaces with an Application Programming Interface (API). For example default access is via HTTP along with a Bit Torrent interface with optional support via various gateways, appliances and software tools.

Cloud storage and object storage IO figure
Example cloud and object storage access

The above figure via Cloud and Virtual Data Storage Networking (CRC Press) shows a generic example applicable to AWS services including S3 being accessed in different ways. For example I access my S3 buckets and objects via Jungle Disk (one of the tools I use for data protection) that can also access my Rackspace Cloudfiles data. In the following figure there are examples of some of my S3 buckets and objects used by different applications and tools that I have in various AWS regions.

Image of AWS S3 usage
AWS S3 buckets and objects in different regions

Note that I sometimes use other AWS regions outside the US for testing purposes, for compliance purpose my production, business or personal data is only in the US regions.

The following figure is a generic example of how cloud and object storage are accessed using different tools, hardware, software and API’s along with gateways. AWS is an example of what is shown in the following figure as a Cloud Service and S3, EBS or Glacier as cloud storage. Common example API commands are also shown which will vary by different vendors, products or solution definitions or implementations. While Amazon S3 API which is REST HTTP based has become an industry de facto standard, there are other API’s including CDMI (Cloud Data Management Interface) developed by SNIA which has gained ISO accreditation.

Cloud storage and object storage I/O figure
Cloud and object storage access example via Cloud and Virtual Data Storage Networking

In addition to using Jungle Disk which manages my AWS keys and objects that it creates, I can also access my S3 objects via the AWS management console and web tools, also via third-party tools including Cyberduck.

Cyberduck tool.

Additional reading and related items:

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Cloud conversations: AWS EBS, Glacier and S3 overview (Part I)

Storage I/O industry trends image

Amazon Web Services (AWS) recently added EBS Optimized support for enhanced bandwidth EC2 instances (read more here). This industry trends and perspective cloud conversation is the first (looking at EBS) in a three-part series companion to the AWS EBS optimized post found here. Part II is here (closer look at S3) and part III is here (tying it all together).

AWS image via Amazon.com

For those not familiar, Simple Storage Services (S3), Glacier and Elastic Block Storage (EBS) are part of the AWS cloud storage portfolio of services. There are several other storage and data related service for little data database (SQL and NoSql based) other offerings include compute, data management, application and networking for different needs shown in the following image.

AWS services console image
AWS Services Console via www.amazon.com

Simple Storage Service (S3) is commonly used in the context of cloud storage and object storage accessed via its S3 API. S3 can be used externally from outside AWS as well as within or via other AWS services. For example with Elastic Cloud Compute (EC2) including via the Amazon Storage Gateway (read more here and about EC2 here). Glacier is the AWS cold or deep storage service for inactive data and is a companion to S3 that you can read more about here.

S3 is well suited for both big and little data repositories of objects ranging from backup to archive to active video images and much more. In fact if you are using some of the different AaaS or SaaS services including backup or file and video sharing, those may be using S3 as its back-end storage repository. For example NetFlix leverages various AWS capabilities as part of its data and applications infrastructure (read more here).

AWS basics

AWS consists of multiple regions that contain multiple availability zones where data and applications are supported from.

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Note that objects stored in a region never leave that region, such as data stored in the EU west never leave Ireland, or data in the US East never leaves Virginia.

AWS does support the ability for user controlled movement of data between regions for business continuance (BC), high availability (HA) and disaster recovery (DR). Read more here at the AWS Security and Compliance site and in this AWS white paper.

What about EBS?

That brings us to Elastic Block Storage (EBS) that is used by EC2 (read more about EC2 and instances here) as storage for cloud and virtual machines or compute instances. In addition to using S3 as a persistent backing store or target for holding snapshots EBS can be thought of as primary storage. You can provision and allocate EBS volumes in the different data centers of the various AWS availability zones. As part of allocating your EBS volume you indicate the type (standard) or provisioned IOP’s or the new EBS Optimized volumes. EBS Optimized volumes enables instances that support the feature to have better IO performance to storage.

The following image shows an EC2 instance with EBS volumes (standard and provisioned IOPS’s) along with S3 volumes and snapshots. In the following example the instance and volumes are being served via the AWS US East region (Northern Virginia) using availability zone US East 1a. In addition, EBS optimized volumes are shown being used in the example to increase bandwidth or throughput performance between storage and the compute instance.

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Using the above as a basis, you can build on that to leverage multiple availability zones or regions for HA, BC and DR combined with application, network load balancing and other capabilities. Note that EBS volumes are protected for durability by being spread across different servers and storage in an availability zone. Additional protection is provided by using snapshots combined with S3. Additional BC and DR or HA protection can be accomplished by replicating data across availability zones.

SQL applications using cloud and object storage services

The above is an example of tying various components and services together. For example using different AWS availability zones, instances, EBS, S3 and other tools including those from third parties. Here is a link to a free chapter download from Cloud and Virtual Data Storage Networking (CRC Press) pertaining to data protection, BC and DR (available at Amazon here and Kindle here). In addition here is an AWS white paper on using their services for BC, HA and DR.

EBS volumes are created ranging in size from 1GByte to 1Tbyte in space capacity with multiple volumes being mapped or attached to an EC2 instances. EBS volumes appear as a virtual disk drive for block storage. From the EC2 instance and guest operating system you can mount, format and use the EBS volumes as any other block disk drive with your favorite tools and file systems. In addition to space capacity, EBS volumes are also provisioned with standard IO (e.g. disk based) performance or high performance Provisioned IOPS (e.g. SSD) for thousands of IOPS per instance. AWS states that a standard EBS volume should support about 100 IOP’s on average, with about 2,000 IOPS for a provisioned IOP volume. Need more than 2,000 IOPS, then the AWS recommendation is to use multiple IOP provisioned volumes with data spread across those. Following is an example of AWS EBS volumes seen via the EC2 management interface.

Image of mapping AWS EBS to ECS instance
AWS EC2 and EBS configuration status

Note that there is a 10 to 1 ratio of space capacity to IOP’s being provisioned. If you try to play a game of 1,000 IOPS provisioned on a 10GByte EBS volume to keep your costs down you are out of luck. Thus to get 1,000 IOPS’s you would need to allocate at least a 100GByte EBS volume of which you will be billed for the actual space used on a monthly pro-rated basis. The following is an example of provisioning an AWS EBS volume using provisioned IOPS in the US East region in the 1a availability zone.

Image of AWS EBS provisioned IOPs
Provisioning IOPS with EBS volume

Standard and Provisioned IOPS EBS volumes

Standard EBS volumes are good for boot images or other application usage that are not IO performance intensive. For database or other active applications where more performance is needed, then EBS Provisioned IOPS volumes are your option. Note that the provisioned IOP rate is persistent for the specific volume during its life. Thus if you set it and forget it including not using it without turning it off, you will be billed for provisioning it.

Additional reading and related items:

  • Cloud conversations: AWS EBS optimized instances
  • Cloud conversations: AWS EBS, Glacier and S3 overview (Part II S3)
  • Cloud conversations: AWS EBS, Glacier and S3 overview (Part III)
  • Cloud conversations: AWS Government Cloud (GovCloud)
  • Cloud conversations: Gaining cloud confidence from insights into AWS outages
  • AWS (Amazon) storage gateway, first, second and third impressions
  • Cloud conversations: Public, Private, Hybrid what about Community Clouds?
  • Amazon cloud storage options enhanced with Glacier
  • Amazon Web Services (AWS) and the NetFlix Fix?
  • Cloud conversation, Thanks Gartner for saying what has been said
  • Cloud and Virtual Data Storage Networking via Amazon.com
  • Seven Databases in Seven Weeks
  • www.objectstoragecenter.com

    • Continue reading part II (closer look at S3) here and part III (tying it all together) here.

    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)
    twitter @storageio

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

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    Cloud conversations: AWS EBS Optimized Instances

    Storage I/O industry trends image

    Amazon Web Services (AWS) recently announced global availability of Elastic Block Storage (EBS) optimized support for four extra Elastic Cloud Computing (EC2) instance types. The support enables optimized performance between standard and provisioned IOP EBS volumes and EC2 instances to meet different bandwidth or throughput needs (learn more about AWS EBS, EC2, S3 and Glacier here).

    AWS image via Amazon.com

    The four EBS optimized instance types are m3.xlarge, m3.2xlarge, m2.2xlarge and c1.xlarge for dedicated bandwidth or throughput between the EC2 instances and EBS volumes. The performance or bandwidth ranges from 500 Mbits (500 / 8 = 62.5 MBytes) per second, to 1,000 Mbits (1,000 / 8 = 125MBytes) per second depending on the type of instance. As a refresher, EC2 instances (why by time you read this could change) vary in size and functionality with different amounts of EC2 Unit of Compute (ECU), number of virtual cores, amount of storage space included, 32 or 64 bit, storage and networking IO performance, and EBS Optimized or not. In addition to instances, different operating system images can be installed using those licensed from AWS such as various Windows and Unix or supply your own.

    Image of EC2 instance

    There are also different generations of instances such as M1 (first generation where one ECU = 1.0 to 1.2 Ghz of a 2007 era Opteron or Xeon processor), M3 (second generation with faster processors) along with Micro low-cost options. There are also other optimized instances including high or large amounts of memory, high CPU or compute processing, clustered compute, high memory clustered, clustered GPU (e.g. using Nivida Tesla GPUs), high IO and high storage space capacity needs.

    Here is the announcement from AWS:

    Dear Amazon Web Services Customer,

    We are delighted to announce the global availability of EBS-optimized support for four additional instance types: m3.xlarge, m3.2xlarge, m2.2xlarge, and c1.xlarge. EBS-optimized instances deliver dedicated throughput between Amazon EC2 and Amazon EBS, with options between 500 Megabits per second and 1,000 Megabits per second depending on the instance type used. The dedicated throughput minimizes contention between EBS I/O and other traffic from your Amazon EC2 instance, providing the best performance for your EBS volumes.

    EBS-optimized instances are designed for use with both Standard and Provisioned IOPS EBS volumes. Standard volumes deliver 100 IOPS on average with a best effort ability to burst to hundreds of IOPS, making them well-suited for workloads with moderate and bursty I/O needs. When attached to an EBS-optimized instance, Provisioned IOPS volumes are designed to consistently deliver up to 2000 IOPS from a single volume, making them ideal for I/O intensive workloads such as databases. You can attach multiple Amazon EBS volumes to a single instance and stripe your data across them for increased I/O and throughput performance.

    Amazon EBS-optimized support is now available for m3.xlarge, m3.2xlarge, m2.2xlarge, m2.4xlarge, m1.large, m1.xlarge, and c1.xlarge instance types, and is currently supported in the US-East (N. Virginia), US-West (N. California), US-West (Oregon), EU-West (Ireland), Asia Pacific (Singapore), Asia Pacific (Japan), Asia Pacific (Sydney), and South America (São Paulo) Regions.

    You can learn more by visiting the Amazon EC2 detail page.

    Sincerely,

    The Amazon EC2 Team

    What this means is that AWS is enabling customers to size their compute instances and storage volumes with more flexibility to meet different needs. For example, EC2 instances with various compute processing capabilities, amount of memory, network and storage I/O performance to volumes. In addition, storage volumes based on different space capacity size, standard or provisioned IOP’s, bandwidth or throughput performance between the instance and volume, along with data protection such as snapshots.

    This means that the cost per space capacity of an EBS volume varies based on which AWS availability zone it is in, standard (lower IOP performance) or provisioned IOP’s (faster), along with instance type. In other words, cloud storage is not just about the cost per GByte, it’s also about the cost for IOPS, bandwidth to use it, where it is located (e.g. with AWS which Availability Zone), type of service, level of availability and durability among other attributes.

    Additional reading and related items:

    Continue reading part I (closer look at EBS) here, part II (closer look at S3) here and part III (tying it all together) here.

    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)
    twitter @storageio

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

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    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.

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    Open Data Center Alliance (ODCA) BMW Private Cloud Strategy

    Storage I/O cloud virtual and big data perspectives

    If your organization like StorageIO is a member of the Open Data Center Alliance (ODCA) you may be aware of the resources they make available about cloud, virtualization, security and more. Unlike so many other industry associates or trade groups dominated by vendors, the ODCA has an IT or customer focus including member developed best practices, strategies and templates.

    A good example is the recently released ODCA member BMW group private cloud strategy document.

    This 24 page document covers BMW groups private cloud strategy that sets stage for phased future hybrid. By being a phased approach, it seems that BMW is leveraging and transitioning for the future while maintaining support for their current environment (including Windows-based) as part of a paradigm shift. This is refreshing and good to see how organizations are looking to use cloud as part of a paradigm or IT service deliver model and not just as a new technology or platform focus.

    Topics covered include IaaS along with PaaS for DB, Web, SAP and CSaaS or Corporate Software as a Service based on the NIST cloud model. Also included are roles and integration of CMDB, ITSM, ITIL, orchestration in a business vs. technology driven model. Being business driven, that means there is a mission statement for the BMW cloud strategy, with objectives aligned to support organization enablement vs. using different tools, technologies or trends along with design criteria.

    What I like about the BMW strategy is that it is aligned to support the business as opposed to finding ways to use technology to support the business, or justify why a cloud is needed. In other words, something different from those needing for a technology, tool, product, standard or service to be adopted.

    Thus while having been a vendor, the ODCA customer focused angle appeals to me from when I was on that side of the table working in IT organizations. Otoh, for some of you reading through the BMW document might result in DejaVu from experiences of web-based, client-server, information utilities and other IT service delivery models or paradigms.

    Learn more at the ODCA newsroom

    If you have not done, check out and join the ODCA.

    Ok nuff said

    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)
    twitter @storageio

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

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    Cloud conversations: Public, Private, Hybrid and Community Clouds? (Part II)

    StorageIO Industry trends and perspectives image

    This is the second of a two part series, read part I here.

    Common community cloud conversation questions include among others:

    Who defines the standards for community clouds?
    The members or participants, or whoever they hire or get to volunteer to do it.

    Who pays for the community cloud?
    The members or participants do, think about a co-op or other resource sharing consortium with multi-tenant (shared) capabilities to isolate and keep members along with what they are doing separate.

    cloud image

    Who are community clouds for, when to use them?
    If you cannot justify a private cloud for yourself, or, if you need more resiliency than what can be provided by your site and you know of a peer, partner, member or other with common needs, those could be a fit. Another variation is you are in an industry or agency or district where pooling of resources, yet operating separate has advantages or already being done. These range from medical and healthcare to education along with various small medium businesses (SMBs) that do not want to or cannot use a public facility for various reasons.

    What technology is needed for building a community cloud?
    Similar to deploying a public or private cloud, you will need various hard products including servers, storage, networking, management software tools for provisioning, orchestration, show back or charge back, multi-tenancy, security and authentication, data protection (backup, bc, dr, ha) along with various middleware and applications.

    Storage I/O cloud building block image

    What are community clouds used for?
    Almost anything, granted there are limits and boundaries based tools, technologies, security and access controls among other constraints. Applications can range from big-data to little-data on all if not most points in between. On the other hand, if they are not safe or secure enough for your needs, then use a private cloud or whatever it is that you are currently using.

    What about community cloud security, privacy and compliance regulations?
    Those are topics and reasons why like-minded or affected groups might be able to leverage a community cloud. By being like-minded or affected groups, labs, schools, business, entities, agencies, districts, or other organizations that are under common mandates for security, compliance, privacy or other regulations can work together, yet keep their interests separate. What tools or techniques for achieving those goals and objectives would be dependent on those who offer services to those entities now?

    data centers, information factories and clouds

    Where can you get a community cloud?
    Look around using Google or your favorite search tool; also watch the comments section to see how long it takes someone to jump in to say how he or she can help. Also talk with solution providers, business partners and VARs. Note that they may not know the term or phrases per say, so here is what to tell them. Tell them that you would like to deploy a private cloud at some place that will then be used in a multi-tenant way to safely and securely support different members of your consortium.

    For those who have been around long enough, you can also just tell them that you want to do something like the co-op or consortium time-sharing type systems from past generations and they may know what you are looking for. If although they look at you with a blank deer in the head-light stare eyes glazed over, just tell them it’s a new lead-edge, software defined new and revolutionary (add some superlatives if you feel inclined) and then they might get excited.  If they still don’t know what to do or help you with, have them get in touch with me and I will explain it to them, or, I’ll put you in touch with those can help.

    data centers, information factories and clouds

    Where do you put a community cloud?
    You could deploy them in your own facility, other member’s locations or both for resiliency. You could also use a safe secure co-lo facility already being used for other purposes.

    Do community clouds have organizers?
    Perhaps, however they are probably more along the lines of a coordinator, administrator, manager, controller as opposed to a community organizer per say. In other words, do not confuse a community cloud with a cloud community organized, aligned and activated for some particular cause. On the other hand, maybe there is value prop for some cloud activist to be  organized and take up the cause for community clouds in your area of interest ;).

    data centers, information factories and clouds

    Are community clouds more of a concept vs. a product?
    If you have figured out that a community or peer cloud is nothing more than a different way of deploying, using and managing a combination of private, public and hybrid and putting a marketing name on them, congratulations, you are now thinking outside of the box, or outside of the usual cloud conversations.

    What about public cloud services for selected audiences such as Amazons GovCloud? On one hand, I guess you could call or think of that as a semi-private public cloud, or a semi-public private cloud, or if you like superlatives an uber gallistic hybrid community cloud.

    How you go about building, deploying and managing your community, coop, consortium, and agency, district or peer cloud will be how you leverage various hard and software products. The results of which will be your return on innovation (the new ROI) to address various needs and concerns or also known as valueware. Those results should be able to address or help close gaps and leverage clouds in general as a resource vs. simply as a tool, technology or technique.

    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 2006-2024 Server StorageIO and UnlimitedIO LLC All Rights Reserved

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    Cloud conversations: Public, Private, Hybrid what about Community Clouds?

    StorageIO Industry trends and perspectives image

    Have you heard of a community clouds?

    Cloud computing including cloud storage and services as products, solutions and services offer different functionality and enable benefits for various types of organizations, entities or individuals.

    various types of clouds image

    Public clouds, private clouds and hybrids leveraging public and private continue to evolve in technology, reliability, security and functionality along with the awareness around them.

    IT professionals tell me they are interested in clouds however they have concerns.

    Cloud concerns range from security, compliance, industry or government regulations, privacy and budgets among others with private, public or hybrid clouds. Peer, cooperative (co-op), consortium or community clouds can be a solution for those that traditional public, private, hybrid, AaaS, SaaS, PaaS or IaaS do not meet their needs.

    various types, layers and services of clouds image

    From a technology standpoint, there should have to be much if any difference between a community cloud and a public, private or hybrid. Instead, they community clouds are more about thinking outside of the box, or outside of common cloud thinking per say. This means thinking beyond what others are talking about or doing and looking at how cloud products, services and practices can be used in different ways to meet your concerns or requirements.

    cloud image

    What’s your take on clouds, click here to cast your vote and see results

    Read more about community clouds including common questions in part II here.

    Ok, nuff said (for now)…

    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)

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    Putting some VMware ESX storage tips together: (Part II)

    In the first part of this post I showed how to use a tip from Dunacn Epping to fake VMware into thinking that a HHDD (Hybrid Hard Disk Drive) was a SSD.

    Now lets look at using a tip from Dave Warburton to make an internal SATA HDD into an RDM for one of my Windows-based VMs.

    My challenge was that I have a VM with a guest that I wanted to have a Raw Device Mapping (RDM) internal SATA HDD accessible to it, expect the device was an internal SATA device. Given that using the standard tools and reading some of the material available, it would have been easy to give up and quit since the SATA device was not attached to an FC or iSCSI SAN (such as my Iomega IX4 I bought from Amazon.com).

    Image of internal RDM with vMware
    Image of internal SATA drive being added as a RDM with vClient

    Thanks to Dave’s great post that I found, I was able to create a RDM of an internal SATA drive, present it to the existing VM running Windows 7 ultimate and it is now happy, as am I.

    Pay close attention to make sure that you get the correct device name for the steps in Dave’s post (link is here).

    For the device that I wanted to use, the device name was:

    From the ESX command line I found the device I wanted to use which is:

    t10.ATA_____ST1500LM0032D9YH148_____Z110S6M5

    Then I used the following ESX shell command per Dave’s tip to create an RDM of an internal SATA HDD:

    vmkfstools -z /vmfs/devices/disks/ t10.ATA_____ST1500LM0032D9YH148_____Z110S6M5
     /vmfs/volumes/dat1/rdm_ST1500L.vmdk

    Then the next steps were to update an existing VM using vSphere client to use the newly created RDM.

    Hint, Pay very close attention to your device naming, along with what you name the RDM and where you find it. Also, recommend trying or practicing on a spare or scratch device first, if something is messed up. I practiced on a HDD used for moving files around and after doing the steps in Dave’s post, added the RDM to an existing VM, started the VM and accessed the HDD to verify all was fine (it was). After shutting down the VM, I removed the RDM from it as well as from ESX, and then created the real RDM.

    As per Dave’s tip, vSphere Client did not recognize the RDM per say, however telling it to look at existing virtual disks, select browse the data stores, and low and behold, the RDM I was looking for was there. The following shows an example of using vSphere to add the new RDM to one of my existing VMs.

    In case you are wondering, why I want to make a non SAN HDD as a RDM vs. doing something else? Simple, the HDD in question is a 1.5TB HDD that has backups on that I want to use as is. The HDD is also bit locker protected and I want the flexibility to remove the device if I have to being accessible via a non-VM based Windows system.


    Image of my VMware server with internal RDM and other items

    Could I have had accomplished the same thing using a USB attached device accessible to the VM?

    Yes, and in fact that is how I do periodic updates to removable media (HDD using Seagate Goflex drives) where I am not as concerned about performance.

    While I back up off-site to Rackspace and AWS clouds, I also have a local disk based backup, along with creating periodic full Gold or master off-site copies. The off-site copies are made to removable Seagate Goflex SATA drives using a USB to SATA Goflex cable. I also have the Goflex eSATA to SATA cable that comes in handy to quickly attach a SATA device to anything with an eSATA port including my Lenovo X1.

    As a precaution, I used a different HDD that contained data I was not concerned about if something went wrong to test to the process before doing it with the drive containing backup data. Also as a precaution, the data on the backup drive is also backed up to removable media and to my cloud provider.

    Thanks again to both Dave and Duncan for their great tips; I hope that you find these and other material on their sites as useful as I do.

    Meanwhile, time to get some other things done, as well as continue looking for and finding good work a rounds and tricks to use in my various projects, drop me a note if you see something interesting.

    Ok, nuff said for now.

    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)

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    Putting some VMware ESX storage tips together (Part I)

    Have you spent time searching the VMware documentation, on-line forums, venues and books to decide how to make a local dedicated direct attached storage (DAS) type device (e.g. SATA or SAS) be Raw Device Mappings (RDM)? Part two of this post looks at how to make an RDM using an internal SATA HDD.

    Or how about how to make a Hybrid Hard disk drive (HHDD) that is faster than a regular Hard Disk Drive (HDD) on reads, however more capacity and less cost than a Solid State Device (SSD) actually appear to VMware as a SSD?

    Recently I had these and some other questions and spent some time looking around, thus this post highlights some great information I have found for addressing the above VMware challenges and some others.

    VMware vExpert image

    The SSD solution is via a post I found on fellow VMware vExpert  Duncan Epping’s yellow-brick site which if you are into VMware or server virtualization in general, and particular a fan of high-availability in general or virtual specific, add Duncan’s site to your reading list. Duncan also has some great books to add to your bookshelves including VMware vSphere 5.1 Clustering Deepdive (Volume 1) and VMware vSphere 5 Clustering Technical Deepdive that you can find at Amazon.com.

    VMware vSphere 5 Clustering Technical Deepdive book image

    Duncan’s post shows how to fake into thinking that a HDD was a SSD for testing or other purposes. Since I have some Seagate Momentus XT HHDDs that combine the capacity of a traditional HDD (and cost) with the read performance closer to a SSD (without the cost or capacity penalty), I was interested in trying Duncan’s tip (here is a link to his tip). Essential Duncan’s tip shows how to use esxcli storage nmp satp and esxcli storage core commands to make a non-SSD look like a SSD.

    The commands that were used from the VMware shell per Duncan’s tip:

    esxcli storage nmp satp rule add –satp VMW_SATP_LOCAL –device mpx.vmhba0:C0:T1:L0 –option “enable_local enable_ssd”
    esxcli storage core claiming reclaim -d mpx.vmhba0:C0:T1:L0
    esxcli storage core device list –device=mpx.vmhba0:C0:T1:L0

    After all, if the HHDD is actually doing some of the work to boost and thus fool the OS or hypervisor that it is faster than a HDD, why not tell the OS or hypervisor in this case VMware ESX that it is a SSD. So far have not seen nor do I expect to notice anything different in terms of performance as that already occurred going from a 7,200RPM (7.2K) HDD to the HHDD.

    If you know how to decide what type of a HDD or SSD a device is by reading its sense code and model number information, you will recognize the circled device as a Seagate Momentus XT HHDD. This particular model is Seagate Momentus XT II 750GB with 8GB SLC nand flash SSD memory integrated inside the 2.5-inch drive device.

    Normally the Seagate HHDDs appear to the host operating system or whatever it is attached to as a Momentus 7200 RPM SATA type disk drive. Since there are not special device drivers, controllers, adapters or anything else, essentially the Momentus XT type HHDD are plug and play. After a bit of time they start learning and caching things to boost read performance (read more about boosting read performance including Windows boot testing here).

    Image of VMware vSphere vClient storage devices
    Screen shot showing Seagate Momentus XT appearing as a SSD

    Note that the HHDD (a Seagate Momentus XT II) is a 750GB 2.5” SATA drive that boost read performance with the current firmware. Seagate has hinted that there could be a future firmware version to enable write caching or optimization however, I have waited for a year.

    Disclosure: Seagate gave me an evaluation copy of my first HHDD a couple of years ago and I then went on to buy several more from Amazon.com. I have not had a chance to try any Western Digital (WD) HHDDs yet, however I do have some of their HDDs. Perhaps I will hear something from them sometime in the future.

    For those who are SSD fans or that actually have them, yes, I know SSD’s are faster all around and that is why I have some including in my Lenovo X1. Thus for write intensive go with a full SSD today if you can afford them as I have with my Lenovo X1 which enables me to save large files faster (less time waiting). However if you want the best of both worlds for lab or other system that is doing more reads vs. writes as well as need as much capacity as possible without breaking the budget, check out the HHDDs.

    Thanks for the great tip and information Duncan, in part II of this post, read how to make an RDM using an internal SATA HDD.

     

    Ok, nuff said (for now)…

    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)

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    Thanks for viewing StorageIO content and top 2012 viewed posts

    StorageIO industry trends cloud, virtualization and big data

    2012 was a busy year (it was our 7th year in business) along with plenty of activity on StorageIOblog.com as well as on the various syndicate and other sites that pickup our content feed (https://storageioblog.com/RSSfull.xml).

    Excluding traditional media venues, columns, articles, web casts and web site visits (StorageIO.com and StorageIO.TV), StorageIO generated content including posts and pod casts have reached over 50,000 views per month (and growing) across StorageIOblog.com and our partner or syndicated sites. Including both public and private, there were about four dozen in-person events and activities not counting attending conferences or vendor briefing sessions, along with plenty of industry commentary. On the twitter front, plenty of activity there as well closing in on 7,000 followers.

    Thank you to everyone who have visited the sites where you will find StorageIO generated content, along with industry trends and perspective comments, articles, tips, webinars, live in person events and other activities.

    In terms of what was popular on the StorageIOblog.com site, here are the top 20 viewed posts in alphabetical order.

    Amazon cloud storage options enhanced with Glacier
    Announcing SAS SANs for Dummies book, LSI edition
    Are large storage arrays dead at the hands of SSD?
    AWS (Amazon) storage gateway, first, second and third impressions
    EMC VFCache respinning SSD and intelligent caching
    Hard product vs. soft product
    How much SSD do you need vs. want?
    Oracle, Xsigo, VMware, Nicira, SDN and IOV: IO IO its off to work they go
    Is SSD dead? No, however some vendors might be
    IT and storage economics 101, supply and demand
    More storage and IO metrics that matter
    NAD recommends Oracle discontinue certain Exadata performance claims
    New Seagate Momentus XT Hybrid drive (SSD and HDD)
    PureSystems, something old, something new, something from big blue
    Researchers and marketers dont agree on future of nand flash SSD
    Should Everything Be Virtualized?
    SSD, flash and DRAM, DejaVu or something new?
    What is the best kind of IO? The one you do not have to do
    Why FC and FCoE vendors get beat up over bandwidth?
    Why SSD based arrays and storage appliances can be a good idea

    Moving beyond the top twenty read posts on StorageIOblog.com site, the list quickly expands to include more popular posts around clouds, virtualization and data protection modernization (backup/restore, HA, BC, DR, archiving), general IT/ICT industry trends and related themes.

    I would like to thank the current StorageIOblog.com site sponsors Solarwinds (management tools including response time monitoring for physical and virtual servers) and Veeam (VMware and Hyper-V virtual server backup and data protection management tools) for their support.

    Thanks again to everyone for reading and following these and other posts as well as for your continued support, watch for more content on the above and other related and new topics or themes throughout 2013.

    Btw, if you are into Facebook, you can give StorageIO a like at facebook.com/storageio (thanks in advance) along with viewing our newsletter 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)

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    Many faces of storage hypervisor, virtual storage or storage virtualization

    StorageIO industry trends cloud, virtualization and big data

    Storage hypervisors were a 2012 popular buzzword bingo topic with plenty of industry adoption and some customer deployment. Separating the hype around storage hypervisors reveals conversations around backup, restore, BC, DR and archiving.

    backup, restore, BC, DR and archiving
    Cloud and virtualization components

    Storage virtualization along with virtual storage and storage hypervisors have a theme of abstracting underlying physical hardware resources like server virtualization. The abstraction can be for consolidation and aggregation, or for enabling agility, flexibility, emulation and other functionality.

    backup, restore, BC, DR and archiving

    Storage virtualization can be implemented in different locations, in many ways with various functionality and focus. For example the abstraction can occur on a server, in an virtual or physical appliance (e.g. tin wrapped software), in a network switch or router, as well as in a storage system. The focus can be for aggregation, or data protection (HA, BC, DR, backup, replication, snapshot) on a homogeneous (all one vendor) or mixed vendor basis (heterogeneous).

    backup, restore, BC, DR and archiving

    Here is a link to a guest post that I recently did over at The Virtualization Practice looking at storage hypervisors, virtual storage and storage virtualization. As is the case with virtual storage, storage virtualization, storage for virtual environments, depending on your views, spheres of influence, preferences among other factors what you call a storage hypervisor will probably vary.

    Additional related material:

  • Are you using or considering implementation of a storage hypervisor?
  • Cloud, virtualization, storage and networking in an election year
  • EMC VPLEX: Virtual Storage Redefined or Respun?
  • Server and Storage Virtualization – Life beyond Consolidation
  • Should Everything Be Virtualized?
  • How many degrees separate you and your information?
  • Cloud and Virtual Data Storage Networking (CRC)
  • The Green and Virtual Data Center (CRC)
  • Resilient Storage Networks (Elsevier)
  • backup, restore, BC, DR and archiving

    • Btw, as a special offer for viewers, I have some copies of Resilient Storage Networking: Designing Flexible Scalable Data Infrastructures (Elsevier) available for $19.95, shipping and handling included. Send me an email or tweet (@storageio) to learn more and get your copy (Major credit cards and Pay pal accepted).

    Ok, nuff said (for now)

    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)

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    Cloud conversations: Gaining cloud confidence from insights into AWS outages (Part II)

    StorageIO industry trends cloud, virtualization and big data

    This is the second in a two-part industry trends and perspective looking at learning from cloud incidents, view part I here.

    There is good information, insight and lessons to be learned from cloud outages and other incidents.

    Sorry cynics no that does not mean an end to clouds, as they are here to stay. However when and where to use them, along with what best practices, how to be ready and configure for use are part of the discussion. This means that clouds may not be for everybody or all applications, or at least today. For those who are into clouds for the long haul (either all in or partially) including current skeptics, there are many lessons to be  learned and leveraged.

    In order to gain confidence in clouds, some questions that I routinely am asked include are clouds more or less reliable than what you are doing? Depends on what you are doing, and how you will be using the cloud services. If you are applying HA and other BC or resiliency best practices, you may be able to configure and isolate from the more common situations. On the other hand, if you are simply using the cloud services as a low-cost alternative selecting the lowest price and service class (SLAs and SLOs), you might get what you paid for. Thus, clouds are a shared responsibility, the service provider has things they need to do, and the user or person designing how the service will be used have some decisions making responsibilities.

    Keep in mind that high availability (HA), resiliency, business continuance (BC) along with disaster recovery (DR) are the sum of several pieces. This includes people, best practices, processes including change management, good design eliminating points of failure and isolating or containing faults, along with how the components  or technology used (e.g. hardware, software, networks, services, tools). Good technology used in goods ways can be part of a highly resilient flexible and scalable data infrastructure. Good technology used in the wrong ways may not leverage the solutions to their full potential.

    While it is easy to focus on the physical technologies (servers, storage, networks, software, facilities), many of the cloud services incidents or outages have involved people, process and best practices so those need to be considered.

    These incidents or outages bring awareness, a level set, that this is still early in the cloud evolution lifecycle and to move beyond seeing clouds as just a way to cut cost, and seeing the importance and value HA, resiliency, BC and DR. This means learning from mistakes, taking action to correct or fix errors, find and cut points of failure are part of a technology maturing or the use of it. These all tie into having services with service level agreements (SLAs) with service level objectives (SLOs) for availability, reliability, durability, accessibility, performance and security among others to protect against mayhem or other things that can and do happen.

    Images licensed for use by StorageIO via
    Atomazul / Shutterstock.com

    The reason I mentioned earlier that AWS had another incident is that like their peers or competitors who have incidents in the past, AWS appears to be going through some growing, maturing, evolution related activities. During summer 2012 there was an AWS incident that affected Netflix (read more here: AWS and the Netflix Fix?). It should also be noted that there were earlier AWS outages where Netflix (read about Netflix architecture here) leveraged resiliency designs to try and prevent mayhem when others were impacted.

    Is AWS a lightning rod for things to happen, a point of attraction for Mayhem and others?

    Granted given their size, scope of services and how being used on a global basis AWS is blazing new territory and experiences, similar to what other information services delivery platforms did in the past. What I mean is that while taken for granted today, open systems Unix, Linux, Windows-based along with client-server, midrange or distributed systems, not to mention mainframe hardware, software, networks, processes, procedures, best practices all went through growing pains.

    There are a couple of interesting threads going on over in various LinkedIn Groups based on some reporters stories including on speculation of what happened, followed with some good discussions of what actually happened and how to prevent recurrence of them in the future.

    Over in the Cloud Computing, SaaS & Virtualization group forum, this thread is based on a Forbes article (Amazon AWS Takes Down Netflix on Christmas Eve) and involves conversations about SLAs, best practices, HA and related themes. Have a look at the story the thread is based on and some of the assertions being made, and ensuing discussions.

    Also over at LinkedIn, in the Cloud Hosting & Service Providers group forum, this thread is based on a story titled Why Netflix’ Christmas Eve Crash Was Its Own Fault with a good discussion on clouds, HA, BC, DR, resiliency and related themes.

    Over at the Virtualization Practice, there is a piece titled Is Amazon Ruining Public Cloud Computing? with comments from me and Adrian Cockcroft (@Adrianco) a Netflix Architect (you can read his blog here). You can also view some presentations about the Netflix architecture here.

    What this all means

    Saying you get what you pay for would be too easy and perhaps not applicable.

    There are good services free, or low-cost, just like good free content and other things, however vice versa, just because something costs more, does not make it better.

    Otoh, there are services that charge a premium however may have no better if not worse reliability, same with content for fee or perceived value that is no better than what you get free.

    Additional related material

    Some closing thoughts:

    • Clouds are real and can be used safely; however, they are a shared responsibility.
    • Only you can prevent cloud data loss, which means do your homework, be ready.
    • If something can go wrong, it probably will, particularly if humans are involved.
    • Prepare for the unexpected and clarify assumptions vs. realities of service capabilities.
    • Leverage fault isolation and containment to prevent rolling or spreading disasters.
    • Look at cloud services beyond lowest cost or for cost avoidance.
    • What is your organizations culture for learning from mistakes vs. fixing blame?
    • Ask yourself if you, your applications and organization are ready for clouds.
    • Ask your cloud providers if they are ready for you and your applications.
    • Identify what your cloud concerns are to decide what can be done about them.
    • Do a proof of concept to decide what types of clouds and services are best for you.

    Do not be scared of clouds, however be ready, do your homework, learn from the mistakes, misfortune and errors of others. Establish and leverage known best practices while creating new ones. Look at the past for guidance to the future, however avoid clinging to, and bringing the baggage of the past to the future. Use new technologies, tools and techniques in new ways vs. using them in old ways.

    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)

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    Cloud conversations: Gaining cloud confidence from insights into AWS outages

    StorageIO industry trends cloud, virtualization and big data

    This is the first of a two-part industry trends and perspectives series looking at how to learn from cloud outages (read part II here).

    In case you missed it, there were some public cloud outages during the recent Christmas 2012-holiday season. One incident involved Microsoft Xbox (view the Microsoft Azure status dashboard here) users were impacted, and the other was another Amazon Web Services (AWS) incident. Microsoft and AWS are not alone, most if not all cloud services have had some type of incident and have gone on to improve from those outages. Google has had issues with different applications and services including some in December 2012 along with a Gmail incident that received covered back in 2011.

    For those interested, here is a link to the AWS status dashboard and a link to the AWS December 24 2012 incident postmortem. In the case of the recent AWS incident which affected users such as Netflix, the incident (read the AWS postmortem and Netflix postmortem) was tied to a human error. This is not to say AWS has more outages or incidents vs. others including Microsoft, it just seems that we hear more about AWS when things happen compared to others. That could be due to AWS size and arguably market leading status, diversity of services and scale at which some of their clients are using them.

    Btw, if you were not aware, Microsoft Azure is more than just about supporting SQLserver, Exchange, SharePoint or Office, it is also an IaaS layer for running virtual machines such as Hyper-V, as well as a storage target for storing data. You can use Microsoft Azure storage services as a target for backing up or archiving or as general storage, similar to using AWS S3 or Rackspace Cloud files or other services. Some backup and archiving AaaS and SaaS providers including Evault partner with Microsoft Azure as a storage repository target.

    When reading some of the coverage of these recent cloud incidents, I am not sure if I am more amazed by some of the marketing cloud washing, or the cloud bashing and uniformed reporting or lack of research and insight. Then again, if someone repeats a myth often enough for others to hear and repeat, as it gets amplified, the myth may assume status of reality. After all, you may know the expression that if it is on the internet then it must be true?

    Images licensed for use by StorageIO via
    Atomazul / Shutterstock.com

    Have AWS and public cloud services become a lightning rod for when things go wrong?

    Here is some coverage of various cloud incidents:

    The above are a small sampling of different stories, articles, columns, blogs, perspectives about cloud services outages or other incidents. Assuming the services are available, you can Google or Bing many others along with reading postmortems to gain insight into what happened, the cause, effect and how to prevent in the future.

    Do these recent incidents show a trend of increased cloud outages? Alternatively, do they say that the cloud services are being used more and on a larger basis, thus the impacts become more known?

    Perhaps it is a mix of the above, and like when a magnetic storage tape gets lost or stolen, it makes for good news or copy, something to write about. Granted there are fewer tapes actually lost than in the past, and far fewer vs. lost or stolen laptops and other devices with data on them. There are probably other reasons such as the lightning rod effect given how much industry hype around clouds that when something does happen, the cynics or foes come out in force, sometimes with FUD.

    Similar to traditional hardware or software based product vendors, some service providers have even tried to convince me that they have never had an incident, lost or corrupted or compromised any data, yeah, right. Candidly, I put more credibility and confidence in a vendor or solution provider who tells me that they have had incidents and taken steps to prevent them from recurring. Granted those steps might be made public while others might be under NDA, at least they are learning and implementing improvements.

    As part of gaining insights, here are some links to AWS, Google, Microsoft Azure and other service status dashboards where you can view current and past situations.

    What is your take on IT clouds? Click here to cast your vote and see what others are thinking about clouds.

    Ok, nuff said for now (check out part II here )

    Disclosure: I am a customer of AWS for EC2, EBS, S3 and Glacier as well as a customer of Bluehost for hosting and Rackspace for backups. Other than Amazon being a seller of my books (and my blog via Kindle) along with running ads on my sites and being an Amazon Associates member (Google also has ads), none of those mentioned are or have been StorageIO clients.

    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)

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    The Human Face of Big Data, a Book Review

    The Human Face of Big Data, a Book Review

    My copy of the new book The Human Face of Big Data created by Rick Smolan and Jennifer Erwitt arrived yesterday compliments of EMC (the lead sponsor). In addition to EMC, the other sponsors of the book are Cisco, VMware, FedEx, Originate and Tableau software.

    To say this is a big book would be an understatement, then again, big data is a big topic with a lot of diversity if you open your eyes and think in a pragmatic way, which once you open and see the pages you will see. This is physically a big book (11x 14 inches) with lots of pictures, texts, stories, factoids and thought stimulating information of the many facets and dimensions of big data across 224 pages.

    While Big Data as a buzzword and industry topic theme might be new, along with some of the related technologies, techniques and focus areas, other as aspects have been around for some time. Big data means many things to various people depending on their focus or areas of interest ranging from analytics to images, videos and other big files. A common theme is the fact that there is no such thing as an information or data recession, and that people and data are living longer, getting larger, and we are all addicted to information for various reasons.

    Big data needs to be protected and preserved as it has value, or its value can increase over time as new ways to leverage it are discovered which also leads to changing data access and life cycle patterns. With many faces, facets and areas of interests applying to various spheres of influence, big data is not limited to programmatic, scientific, analytical or research, yet there are many current and use cases in those areas.

    Big data is not limited to videos for security surveillance, entertainment, telemetry, audio, social media, energy exploration, geosciences, seismic, forecasting or simulation, yet those have been areas of focus for years. Some big data files or objects are millions of bytes (MBytes), billion of bytes (GBytes) or trillion of bytes (TBytes) in size that when put into file systems or object repositories, add up to Exabytes (EB – 1000 TBytes) or Zettabytes (ZB – 1000 EBs). Now if you think those numbers are far-fetched, simply look back to when you thought a TByte, GByte let alone a MByte was big or far-fetched future. Remember, there is no such thing as a data or information recession, people and data are living longer and getting larger.

    Big data is more than hadoop, map reduce, SAS or other programmatic and analytical focused tool, solution or platform, yet those all have been and will be significant focus areas in the future. This also means big data is more than data warehouse, data mart, data mining, social media and event or activity log processing which also are main parts have continued roles going forward. Just as there are large MByte, GByte or TByte sized files or objects, there are also millions and billions of smaller files, objects or pieces of information that are part of the big data universe.

    You can take a narrow, product, platform, tool, process, approach, application, sphere of influence or domain of interest view towards big data, or a pragmatic view of the various faces and facets. Of course you can also spin everything that is not little-data to be big data and that is where some of the BS about big data comes from. Big data is not exclusive to the data scientist, researchers, academia, governments or analysts, yet there are areas of focus where those are important. What this means is that there are other areas of big data that do not need a data science, computer science, mathematical, statistician, Doctoral Phd or other advanced degree or training, in other words big data is for everybody.

    Cover image of Human Face of Big Data Book

    Back to how big this book is in both physical size, as well as rich content. Note the size of The Human Face of Big Data book in the adjacent image that for comparison purposes has a copy of my last book Cloud and Virtual Data Storage Networking (CRC), along with a 2.5 inch hard disk drive (HDD) and a growler. The Growler is from Lift Bridge Brewery (Stillwater, MN), after all, reading a big book about big data can create the need for a big beer to address a big thirst for information ;).

    The Human Face of Big Data is more than a coffee table or picture book as it is full of with information, factoids and perspectives how information and data surround us every day. Check out the image below and note the 2.5 inch HDD sitting on the top right hand corner of the page above the text. Open up a copy of The Human Face of Big Data and you will see examples of how data and information are all around us, and our dependence upon it.

    A look inside the book The Humand Face of Big Data image

    Book Details:
    Copyright 2012
    Against All Odds Productions
    ISBN 978-1-4549-0827-2
    Hardcover 224 pages, 11 x 0.9 x 14 inches
    4.8 pounds, English

    There is also an applet to view related videos and images found in the book at HumanFaceofBigData.com/viewer in addition to other material on the companion site www.HumanFacesofBigData.com.

    Get your copy of
    The Human Face of Big Data at Amazon.com by clicking here or at other venues including by clicking on the following image (Amazon.com).

    Some added and related material:
    Little data, big data and very big data (VBD) or big BS?
    How many degrees separate you and your information?
    Hardware, Software, what about Valueware?
    Changing Lifecycles and Data Footprint Reduction (Data doesnt have to lose value over time)
    Garbage data in, garbage information out, big data or big garbage?
    Industry adoption vs. industry deployment, is there a difference?
    Is There a Data and I/O Activity Recession?
    Industry trend: People plus data are aging and living longer
    Supporting IT growth demand during economic uncertain times
    No Such Thing as an Information Recession

    For those who can see big data in a broad and pragmatic way, perhaps using the visualization aspect this book brings forth the idea that there are and will be many opportunities. Then again for those who have a narrow or specific view of what is or is not big data, there is so much of it around and various types along with focus areas you too will see some benefits.

    Do you want to play in or be part of a big data puddle, pond, or lake, or sail and explore the oceans of big data and all the different aspects found in, under and around those bigger broader bodies of water.

    Bottom line, this is a great book and read regardless of if you are involved with data and information related topics or themes, the format and design lend itself to any audience. Broaden your horizons, open your eyes, ears and thinking to the many facets and faces of big data that are all around us by getting your copy of The Human Face of Big Data (Click here to go to Amazon for your copy) book.

    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)

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