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HP NonStop Remote Database Facility
IBM DB2 is a relational DBMS with built-in aid for a few NoSQL capabilities, together with XML, graph shop and Java Script Object Notation (JSON). Used by using organizations of all sizes, DB2 offers a knowledge platform for both transactional and analytical operations in addition to continuous availability of records to keep transactional workflows and analytics operating effectively.
OSes DB2 supports
DB2 is purchasable for three basic systems:
laptop, with DB2 for Linux, Unix and windows (LUW)
Midrange, with DB2 for iSeries
Mainframe, with DB2 for z/OS, the predominant mainframe relational DBMS
DB2 helps these Unix versions: AIX, Solaris and HP-UX; Linux versions include red Hat, SUSE, Ubuntu and Linux on pSeries and system z.
DB2 for i comes pre-installed on the iSeries server and, as such, may not be addressed here.
The present edition of DB2 for LUW is 11.1, launched in 2nd quarter 2016. This liberate specializes in advancements to BLU Acceleration and pureScale performance.
BLU Acceleration, delivered to DB2 in edition 10.5, offers a column store potential, as well as technological efficiency boosts for actionable compression, exploitation of the one guide varied information (SIMD) capabilities of contemporary CPUs, and facts skipping expertise.
For DB2 eleven, BLU Acceleration will also be deployed across a hugely parallel processing (MPP) community cluster structure. BLU Acceleration will also be used in database partitioning facility environments for MPP scale out, which could enrich query performance for colossal partitioned purposes. additionally, this version improves in-reminiscence capabilities for column-prepared tables and integration with IBM data Server manager to analyze workloads and investigate even if they could benefit from column-oriented tables.
DB2 for LUW eleven additionally adds support for top Availability catastrophe healing, or HADR, in pureScale clustered DB2 databases. statistics may also be mirrored from a main pureScale database cluster to a 2nd local or far off standby cluster, thereby improving recoverability. An further growth for pureScale is the beginning of on-line fix pack update support, enabling clients to observe DB2 eleven.1 fix packs to particular person individuals operating in a pureScale cluster without having to take the entire cluster offline.
On the security entrance, DB2 11 permits the use of business key administration systems for storing native encryption master keys. The DB2 advanced restoration function is a bundle of database backup, recovery and information extraction equipment that can support users improve availability, mitigate possibility and optimize administrative projects.
The present version of DB2 for z/OS is 11, which become launched in October 2013. Highlights of DB2 eleven for z/OS consist of efficiency and availability enhancements, superior analytics capabilities, application compatibility features, improved access direction balance and archive transparency. IBM also offers the IBM DB2 Analytics Accelerator, which is an add-on to DB2 for z/OS for speeding up analytical queries.
DB2 for LUW requires two configuration files: the Database manager configuration file containing configuration parameters for an entire illustration, and Database configuration info for each database.
DB2 for LUW is additionally embedded into IBM's database PureData appliance, enabling turnkey implementation of DB2 with out the time-ingesting installing and configuration required of a traditional DBMS installing.
DB2 for z/OS is put in as a subsystem with accessories for database services, lock administration, distributed request processing and connecting to other mainframe agents. The subsystem is configured with a set of parameters called the DSNZPARMs.
As of edition eleven, IBM presents eight variants of DB2 for LUW:
DB2 advanced business Server version offers the optimum level of performance attainable for DB2 and is appropriate for transactional, warehouse and blended workloads. This version has no processor, reminiscence or database measurement limits and is derived with a full complement of warehouse equipment, InfoSphere Optim equipment and IBM data Studio.
DB2 superior Workgroup Server edition is corresponding to the DB2 advanced commercial enterprise Server edition, apart from it locations limits on processor, memory and database size. This edition is top-quality-applicable for deployment in a departmental, workgroup or midsize company environment.
DB2 enterprise Server version is suitable for transactional and combined workloads, and just like the superior version, it has no processor, memory or database size limits. besides the fact that children, not like the advanced version, it lacks column-geared up tables, in-reminiscence database, data compression, workload management, replication and disbursed partitioning capabilities.
DB2 Workgroup Server version is basically for transactional workloads. This version locations limits on processor, memory and database size, which makes it finest for medium-size workloads.
DB2 Direct advanced edition is a version of DB2 superior Workgroup Server version for digital delivery.
DB2 Direct average edition is a digital version of DB2 Workgroup Server edition for digital beginning.
DB2 for big statistics combines the relational engine of DB2 with IBM's BigInsights platform for huge information and analytics. This edition is designed to enhance portability of statistics throughout relational methods and Hadoop.
DB2 Developer edition is designed for a single software developer to design, build and prototype applications for deployment on any of the IBM tips administration client or server systems.
moreover, DB2 categorical-C edition, an entry-level version of the DB2 records server for the developer and companion community, is purchasable for free of charge. It may also be put in on physical or digital techniques with any volume of CPU and RAM, and is optimized to fritter away to a highest of two cores and 16 GB of reminiscence.
DB2 records kinds
DB2 supports the regular numeric, persona, and date/time records varieties neatly as LOBs, XML and consumer-defined varieties. JSON is supported by way of DB2 JSON, a driver-primarily based answer that supplies JSON statistics representation within the context of an RDBMS.
IBM has published a lot of TPC benchmarks for DB2 on all platforms supported. IBM sells DB2 for LUW direct, through business partners, online and through utility particular licensing, which allows for vendors corresponding to SAP to license and promote DB2 relational DBMS as a part of their functions.
Pricing is in keeping with processor value unit (PVU), which is a unit of measure that IBM uses to license its application. IBM applies a PVU count to each and every core of a processor. The pricing is then in accordance with the number of PVUs for the processor and via the number of processors made obtainable to DB2.
The developer version is licensed through authorized user, no longer PVU. There are extra nuances to pricing and licensing in keeping with DB2 variations that are not coated here.
The license cost for DB2 includes first-12 months help and subscription, entitling the proprietor to contact IBM for guide as well as to down load fixes and upgrades to future types/releases of the product.
DB2 for z/OS relational DBMS is offered without delay with the aid of IBM and is licensed as a month-to-month license can charge (MLC) product. There are numerous metrics attainable for pricing MLC items. A ninety-day free trial down load is obtainable from the IBM web site.
about the authorCraig S. Mullins is an information management strategist, researcher, consultant and creator with greater than 30 years of experience in all facets of database techniques development. he's president and essential advisor of Mullins Consulting Inc. and publisher/editor of TheDatabaseSite.com. e mail him at email@example.com.
e mail us at firstname.lastname@example.org and observe us on Twitter: @sDataManagement.
this text was updated in September 2016.
Zimbabwe: countrywide Aids Council Appeals for overseas forex
Zimbabwe: Preacher Magaya Fined U.S.$700 Over HIV remedy declare
by way of Rawlings Otini
Kenyan babies infected with HIV/Aids will now be able to entry analysis within two days after trying out, vastly decreasing the high child death expense linked to late records start.
This follows the continuing setting up of a technology that can hyperlink far off clinical institutions throughout the country.
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The LHC is rarely effectively the strongest particle accelerator ever created. handling the huge amounts of statistics it produces has required the creation of 1 of the biggest computing device grids on the earth. The planning and checking out of the compute facilities has been taking location for years, however's just recently that the grid has had to take care of the output from genuine collisions. How did it do? "From the IT standpoint, we failed to observe when the beams came on," noted CERN's Wolfgang von Rueden, "We had confirmed it with a great deal bigger throughput conditions."
still, no longer everything is working rather in line with plan. von Rueden talked about that the initial expectations for the LHC's computing grid had predicted lessen network efficiency and a reliance on tape; as an alternative, the network has made it easier to shuffle massive facts sets between compute centers, and the price and efficiency of difficult drives have grew to become out more suitable than expected. Von Rueden gave us a short overview of the computing setup at CERN, what they've realized from putting every little thing in vicinity for the LHC, and how some main companies are relying on CERN's event to increase their items.
despite the fact CERN has some enormous computing elements, they contribute handiest about 10-15 % of the overall CPU energy dedicated to the information popping out of the LHC, and many of the work on-web site is dedicated to slicing down on the information that needs to be saved. The LHC produces way more facts than we can possibly store, and many of the collisions produce a twig of mundane particles we're already aware about. a significant volume of computing vigor—about 2,000 CPUs at every of the four detectors—is committed to filtering the wonderful collisions out of the historical past.
(One physicist in comparison this system to selecting traffic accidents when given photos of an intersection where the traffic light alterations colors tens of millions of times between incidents.)
The filtering reduces the circulation of information from a petabyte (PB) a second to a gigabyte per 2nd, which is then transferred from the detectors to the leading compute facility via a committed 10Gbps connection. as soon as there, it has to be kept, and von Rueden instructed us that the preliminary plan had been to use tape for that; right now, they have about 50PB of tape storage, handled by way of a group of robotic storage hardware. nonetheless, they have been discovering that disk storage is working smartly, and have scaled that up to 20PB worth of storage.
The disks are managed as a cloud provider, with arrays of drives attached to Linux containers in JBOD (only a Bunch Of Disks) mode. every of those boxes receives a 1Gbps connection, and any CPU within the storage cluster can examine records from any of the disks.
one of the explanations for the elevated reliance on disks is the network that connects the world grid to CERN. "since the networking is going so smartly, filling the pipes can outrun tapes," von Rueden advised Ars. at the moment, that network is operating at 10 times its deliberate means, with eleven committed connections operating at 10Gbps, and an additional two held in reserve. every connection goes to certainly one of a sequence of what are referred to as Tier 1 sites, where the data is replicated and allotted to Tier 2 websites for evaluation. Von Rueden mentioned that the fiber that powers this setup has been "quicker, cheaper, and greater reliable than in planning."
The common plan had been that every of the Tier 2 sites would retain a particular subset of the LHC statistics, and evaluation jobs (which, being code, may still be extraordinarily compact) can be sent across the community to wherever the information resides. in its place, it's became out that the community performs so neatly that the records can be streamed anyplace on the grid in real time, which has made things enormously extra flexible.
aiding users and corporations
however the LHC's computing needs are fairly exciting, CERN's IT staff faces concerns that would sound widespread to anybody in corporate IT. Its datacenter is 35 years historic, and is now hosting clusters in an area that turned into intended to guide supercomputers. Von Rueden observed that density is fitting an issue, and the constructing isn't designed to take talents of environmental functions or do anything else with its waste warmth. although there are some fixes that can be applied—a couple of racks of vital machine in the datacenter are actually water cooled—many of the center of attention for CERN has been on getting essentially the most efficiency per Watt used for computing.
In fresh years, advancements in that area have come quickly sufficient that CERN now not bothers with hardware help contracts longer than three years. Machines just get run unless they're lifeless; the can charge of the alternative, and the vigour reductions replacement hardware brings, potential it would not make economic experience to keep the hardware going.
beyond the hardware, CERN has to give assist to a extremely different user community, as physicists often come to the web page with their personal desktop, and a lot of of them run what von Rueden called "non-mainstream structures." It runs a big wireless community, and has to supply capabilities for friends, from individuals of the click to dignitaries. presently, CERN servers help over 20,000 e-mail users, and provide far flung entry to info and the interior community for many users.
mixed with the LHC's enjoyable computing needs, all of this makes CERN a brilliant testbed for many know-how agencies. CERN runs a few casual collaborations with trade but, for its IT problems, corporations are inspired to take part within the openlab application, which von Rueden runs. right now, HP, Intel, Oracle, and Siemens all have openlab initiatives, through which they pay for dedicated staff at CERN and coordinate their work with their own personnel.
Siemens, for example, is attempting to learn the way to improved installation and manage computerized manage methods, whereas HP's ProCurve group is attempting to learn from CERN's skill to manage a heterogeneous and comparatively open desktop community. on the degree of user and visitor networking, CERN is fairly liberal concerning the hardware it lets onto the device, which capability it has to have application that may become aware of extraordinary behavior and disconnect any gadgets littered with it; HP is looking at constructing some of these community management points into its items.
CERN outlets metadata for the collision activities in an Oracle database, and an incredible requirement right here—quick synchronization throughout a global community—has brought about Oracle to launch an openlab assignment wherein it assessments quite a few streaming and compression schemes to up performance over the community. eventually, Intel tests compiler expertise the usage of probably the most high-efficiency computing tasks required at CERN, checks its processors beneath precise-world hundreds, and sponsors individuals who are converting some physics workloads and code libraries to help the multithreading vital to take knowledge of the current technology of processors.
Most groups may not face considerations on the equal scale that CERN does (or be fortunate ample to have their plans outperform expectations. but there are plenty that allows you to probably benefit from one of the technology being developed there. CERN's own clients will as smartly, however they are typically a choosy bunch. "whatever thing you may give a physicist," von Rueden talked about, "he wishes two times as lots."
record picture via A robot manages a few of CERN's 50PB of tape storage.
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This chapter is from the book
Common attributes of cloud offerings include massive scalability, near-immediate availability and provisioning, increased cost management controls, and more. However, while we consider the benefits here, a number of dark linings lurk around our silver clouds, and throughout this book we examine them in relation to the usage models of cloud services. Each organization will determine different sets of benefits and risks however. So, your mileage will vary.
The definitions of cloud services and related cloud computing architectures—and there are many—span a huge range of opportunities and architectures. You may choose to source cloud services internally or externally to your organization, and it is our position throughout this book that most organizations will end up with a hybrid mix of options. Therefore, not all the benefits, or risks, will apply to your situation. Part of the goal in this book is to try to isolate those areas that vary and provide tools to determine your best path forward.
Therefore, as with all things, the benefits and risks attributed to cloud should be considered relative to your current circumstances and measured against your capabilities in relation to any strategic constraints and opportunities that exist. Let's consider building cloud up before we break it down. So, before we detail how cloud solutions are defined, consider the potential benefits from the business and technology viewpoints.
Benefits of Cloud Services
The benefits ascribed to cloud span both business and technology spheres. For business leaders, your ability to maintain or gain agility and your management options are greatly enhanced. For an IT department trying to deliver services to support the business, cloud services offer a new way to architect and source solutions. By finding cloud services that match noncore delivery of IT services, the IT department can concentrate on finding and delivering the best services for the business more effectively.
At a high level the benefits of cloud services can be categorized as:
Cost and budget control
Scalability and capacity management
Governance and compliance
From a business perspective, there is much more to consider today beyond your ability to manage your core business and deliver great and timely products and services. Today, competitive pressures, marketing challenges, budget issues, and more are considerable requirements. Your ability to manage situations quickly and efficiently is the key. The biggest benefit of cloud computing to business today can be framed in terms of agility. Cloud services can offer huge savings in terms of time (for example, when IT capabilities must be delivered quickly). Scaling up or down with cloud services does not usually require additional hardware or software. Cloud services offer minimal setup time, minimal time to scale, and less cash outlay. This is because as a business model, cloud service providers generally host massively scaled systems' capacity that can be switched on upon request.
Suppose, for instance, that you need to scale rapidly for a new project or a seasonal rush. Companies can model these situations using internal resources, but likely at some point they will need to expand beyond that capacity. A decision is made whether to use an external provider to fill the gap; in the world of cloud services, this is called cloud bursting.
Cloud services, as a concept, are available over Internet technologies and enable us to interact or consume them from almost anywhere on any device. While issues of form factor and communication speed create some limitations today, the business benefit of being able to bring key resources to bear on a critical or time-sensitive problem is recognized as a huge benefit to the agility of any business. Having mobile and remote capabilities allows organizations to recruit employees/contractors who can deliver but who cannot or will not travel to their physical locations. Popularized in the 1990s, offshoring was a first example of this business transition: Business services could be offered from anywhere. However, the advent of cloud services means that more capabilities are available to you and to those providers (and from them, too).
Cultural issues aside, web conferencing services, such as the pioneering WebEx, show how product demonstrations no longer require someone to be physically in the room to represent the company. There are now a multitude of meeting options ranging from Citrix's GoTo services for remote access and support, to HP's Halo room for the "in the same room" meeting experience, and to Skype for making video and audio calls worldwide for much less than traditional telecommunication carrier costs. All of these examples illustrate the opportunity to use technology to deliver business results faster and at highly cost-effective price points.
Servicing your customers at scale is possible only through improvements to the scale and functionality of your service and support capabilities. Support over the Internet is one way to do this. In this scenario, you either expose your support model through a web application or you use a provider who will manage that support through a web application on your behalf (à la cloud). Outsourcers such as EDS/HP Enterprise Services, Centerbeam, and more have been offering these types of support services for more than a decade, but the ability to focus support into web-based solutions decreases the number of staff required to answer phones and deal with people directly.
By using the best service from a cloud service provider, a business can potentially focus more energy and talent on optimizing existing revenue streams and aggressively pursuing the development of new ones.
For example, cloud services can enable businesses to gather information, ideas, feedback and so forth from a much wider set of sources (such as customers, partners) than was ever possible by traditional means. This approach is known as crowdsourcing.
Popular crowdsourcing approaches have primarily evolved from the world of Web 2.0 solutions. One business that relies on crowdsourcing is Wikipedia, an online encyclopedia. Wikipedia employs a small organization of less than 50 employees, while utilizing several thousand key volunteers and tens of thousands of other contributors from around the world. While some entries are questionable in terms of veracity, substance or even legality, the overall effort resulted in a much more dynamic and comprehensive set of data than traditional printed encyclopedias could ever match.
Yelp offers the ability to source a set of opinions on a wide range of vendors, from restaurants, to retailers, and more. From this, others can view ratings and comments about those vendors and decide whether to use them. Yelp also shows that these types of solutions can be manipulated (for example, when they gain notoriety, or, when not enough people provide opinions).
Consider a company in crisis. On April 20, 2010 British Petroleum's oil drilling platform, the Deepwater Horizon in the Gulf of Mexico suffered a series of catastrophic failures and collapsed into the water with devastating results to life and nature. The amount of oil escaping was immense. Estimates ranged wildly from 5 to 200 thousand barrels of oil a day, flowing non-stop for over three months. The point here is that BP used crowdsourcing as one approach to deal with the cleanup efforts by creating a "Deepwater Horizon suggestions" page.4 As of July over 20,000 suggestions had been submitted, and at least 10 had been tested for use. The US federal government also set up a site with information on volunteering to help with the clean-up effort.5
This is not to say that crowdsourcing is all perfect. Using services in the cloud like this opens up the potential for anyone in the world with Internet access to "join in" with the crowd. The majority of participants are likely to offer positive input, whereas other individuals or groups are less valuable; some are trolls seeking to make noise, and some are vandals seeking to abuse the system. Mitigation against these and similar issues is centered on access controls, the ability to curate the input, verification processes, and so forth.
Vendors such as Ning, Big Tent, SocialGo, and many others enable for community-based social networking solutions, even crowdsourcing, in a more controlled environment with stricter access controls to the various parts of their services in the cloud. These additional controls can make crowd-based efforts more compelling to community-based or vertical-focused organizations.
Cost and Budget Control
Although the initial costs of using cloud services may appear less, a better expectation should be that cloud services offer more control over costs or better budget management capabilities. Most cloud services enable you to pay on a monthly, weekly, or per-use basis. Choosing a cost-effective cloud service provider can result in significant savings, but more important is finding a cloud service provider than can accurately report usage patterns to you so that you can confirm the accuracy of your billing based on use.
One noted advantage of using public cloud services is the use of operational expenditure (OpEx) over capital expenditure (CapEx). However, understanding the implications of CapEx and OpEx is critical to effectively managing budgets. The difference between buying a house and renting one is the amount of cash that (usually) goes out the door at one time, and the same concept applies here. IT data centers are generally CapEx-intensive, because they require initial outlays of cash upfront to build out. Cloud services are generally booked as OpEx because they are consumed through a services agreement over time. Although CapEx can be depreciated over time, essentially allowing costs to be defrayed against profits, the initial drain on cash at hand is often seen as detrimental and to be avoided in the business world. Having flexibility of where to spend OpEx versus CapEx enables an organization to better manage expenditure such that the costs occur over time rather than in one big lump sum, which enables for better cash-flow management.
The concept of Green IT illustrates the significant costs borne by many organizations. The operational costs associated with building and maintaining data centers and with scaling power, cooling, and even basic hardware requirements are significant. Over time business workloads fluctuate and data centers are often left fully powered on, o whether the infrastructure is used. For example, some organizations run financial systems all year, but they hit peak load only once a quarter or once a year during financial reporting periods. There are many ways that organizations can look to benefit from cloud deployments as they try to optimize and approach a Green IT model. For their own private clouds, the goal is to optimize their usage requirements and cycling systems when needed. Organizations use community or public cloud services when needed, essentially pushing their workloads to the cloud when their internal capacity is reached, or cloud-bursting. Although many cloud service providers do not provide utilization data, there is an assumption that cloud service providers have optimized their infrastructure and management tools to maximize usage.
In many cases, organizations no longer have to hire people to manage system updates and backups and therefore can save on staffing costs and on storage management.
Scalability and Capacity Management
The capability to scale quickly to extreme capacity is not a common attribute or goal of traditional data centers and IT departments. As a result, many businesses experience times when they are hampered by a process that takes weeks or months, sometimes even years, to get new compute resources and applications online. This is despite that many large enterprises have already spent millions on computer hardware and have thousands of servers under management (at least on the books). Cloud computing promises the capability to scale massively in terms of systems, connections, bandwidth, storage, and more on an almost immediate basis. The converse is also important, where the service will shrink back down just as quickly if the need is no longer there. These benefits support cost management goals and enable you to grow in line with your requirements in a linear rather than a reactive mode.
The appearance of unlimited capacity is quite appealing. Cloud services need to be tuned to carefully manage actual capacity against expected requirements, yet deal with unexpected demands when necessary, too. Predictive analysis is critical in this respect, and offering those delivery and management capabilities to customers is something that both IT and cloud service providers must do to deliver this benefit to businesses.
Governance and Compliance
Governance is the process used to ensure that regulations, rules, and mandates are followed within an organization. Compliance refers to the facility to monitor and validate that the organization is meeting the governance requirements. Although cloud services introduce potential challenges in matching these requirements, the opportunities to improve an organization's governance and compliance stance can be greatly improved.
Taking a service-based approach to delivering both business and IT functionality that incorporates the governance processes allows for closer alignment to compliance reporting. Sourcing specific, metered services from cloud service providers that specifically match governance models allows for better reporting, more accurate alignment between service usage and fluctuations in business workflow, and ultimately, faster time to market. This also brings up the need for a service catalog and related management tools to ensure usage matches expectations. We will talk about this in Chapters 7 through 10 as this closely relates to overall operations management and security as well.
In some cases, organizations have found that by using a third party to manage their IT services they are better able to deliver services within their governance models and compliance mandates. For small businesses in particular, the cost of hiring to manage these requirements can be significant itself, much like security. Using pooled resources and services allows business to capitalize on the best of that common capability.
It is important to note that although cloud services provide potential improvements to your governance and compliance position, you cannot abdicate responsibility for compliance. While different models of cloud computing architecture actually vary the amount of "control" you and the service provider have over the service, none of them changes your responsibilities to protect data, privacy, or service levels.
This is a critical point made that is reiterated throughout the text: Although you can look to the cloud for specific capabilities and functions to support governance, compliance, and even security, you cannot abdicate these obligations. For example, if a breach of your customer or employee data occurs, the responsibility to report and rectify remains yours. The cloud service provider may help deal with the issue. The cloud service provider may suffer some of the same financial repercussions. However, the cloud service provider is not the owner of the problem. Therefore, any reliance on the cloud's controls and safeguards, and on the governance and compliance practices of a cloud service provider, must be carefully evaluated in line with your governance, and compliance needs to ensure that the solution enhances your posture, instead of increasing either direct or ancillary risks.
Whereas many potential users of cloud services have a visceral or gut reaction that suggest cloud services are not secure, that is certainly not always the case. We discuss security opportunities and challenges in much more detail later in the book, but for now consider many organizations find significant improvements in their security posture by using cloud services. Often, because of their size or financial limitations, small and even medium-sized businesses cannot hire security specialists or respond quickly to security incidents. Using specific best-of-breed capabilities in the cloud to prevent or identify fast-moving or specific threats is a benefit to all organizations, perhaps best illustrated by the vendors who provide antivirus and antispam solutions outside the traditional IT environment.
The ability to host multiple capabilities in the same hardware, software, or service allows for the follow-on benefit of optimized use of the infrastructure. Multitenancy as a model for using compute resources has existed since the 1960s, when IBM challenged traditional time-sharing models by adding virtualization with its VM/370 series.
Multitenancy can occur at any or all levels of the architecture, as follows:
Virtual layer: Virtualization provides the ability to create specific environments for each process, application, or operating system. This model isolates everything above the virtual layer itself but allows for the use of pooled resources below that layer, most commonly hardware such as networking, processor, memory, input/output, and storage resources.
Application layer: The user interfaces of most web applications allow for specific fixed graphical and behavioral elements alongside customized elements associated with a specific organization, individual, or function. If one component or functional element fails in the delivery of the interface, it is easier to replace because those elements derived from other parts of the application and can be easily reconstructed.
Database layer: Data for multiple applications, through to multiple customers, can be stored in the same database, and thus allow for the focus on optimal data structures rather than entire infrastructures to support each individual requirement.
To gain the best advantage of cloud requires that each of these architectural layers be considered carefully to determine the best layer or layers to optimize for multitenancy.
Almost a corollary to multitenancy is both the ability and requirement for isolation at each of the layers. While an application vendor such as Salesforce.com may use a common database layer for managing customer data, it is essential that the security mechanisms around the application layer maintain isolation between the various customers. Fundamental for any type of cloud provider is the requirement to offer isolation at each level of service exposure to their cloud users. This may be the infrastructure, platform, or software applications. In addition, APIs and management tools must also ensure that isolation exists in terms of identity management and access models, key management and encryption, and user interfaces. This is a specific set of technical requirements that need to be carefully evaluated when using a third-party solution in a private cloud and in any public cloud.
The idea of web-based services has been around for many years, as have application hosting and outsourcing. The ability to get to the services from anywhere from any device has been a goal that is finally being broadly realized, and it threatens business models and IT departments who must contend with the security issues associated with data being available on devices either temporarily or long term.
In August 2009, ABI Research6 released a report that said mobile cloud computing subscribers would total nearly one billion by 2014. The ABI report contained the following reasoning:
There are two primary reasons why ABI believes cloud computing will become a disruptive force in the mobile world. The first is simply the number of users the technology has the power to reach: far more than the number of smartphone users alone. The second reason has to do with how applications are distributed today. Currently, mobile applications are tied to a carrier. If you want an iPhone app, for example, you have to first have a relationship with the mobile operator who carries the iPhone. If you want a Blackberry app, the same rule applies. But with mobile clouding computing applications, as long as you have access to the web, you have access to the mobile application.
Although there are many arguments against this position, the general direction in cloud services is to support more open standards and therefore the dependence on specific carriers is certainly less than in years previous. This means that offering employees, customers, and partners better access and links to your organization via an exploding mobile world is absolutely possible.
Some like to think of cloud computing as an opportunity to do away with all their existing infrastructure challenges and costs—a "burn it to the ground" or rebuild scenario. This is truly not the real option, especially for any enterprise with more than a year under its belt with existing IT, and especially not for medium to large enterprises with many current or legacy systems in place. The reality is that cloud services allows an IT department to refactor some or all of their existing systems over time and usually take advantage of cost-effective new ways to deliver IT services to the business as a result.
The same concept can also be applied to data center design. Historically, IT has designed data centers using the model of high availability, focusing on repair as a core requirement instead of considering the best mode for recovery to availability. This includes using certified hardware with comprehensive support and maintenance contracts. This includes concepts such as fail-fast, highly integrated systems, and deploying on stable QA tested solutions on a prepared basis with massive change control to ensure the ability to roll back failures.
Large cloud service providers are approaching infrastructure design with a qualitatively different approach. They focus on low-cost commodity hardware where possible. Faults should be simply routed around until some standard recovery can be achieved on a scheduled or even ad hoc basis. This is much more cost efficient in many modes, yet requires a change in thinking that may benefit IT. Modeling can be important here, but if you are not prepared to consider alternative approaches, you will never get to model it. Also note that it is often difficult to model third-party cloud services well, given the potentially vast array of failures that can occur. Traditional IT approaches do not immediately match well to these new architectures and will require some refactoring. We all know that hardware will fail, networks will fail, and an entire data center may fail. Truly, any part of the stack, including the human components (from operators to users), may fail in some way. So what does that mean? We need to monitor different things. It is common to model small failures in a larger system and monitor for those failures (e.g., disk out of space, router offline). Cloud services are modeled as services, and therefore if you refactor how to manage them in this context, you begin to see dependencies across the whole system rather than in terms of just the data center itself, which in turn allows you to focus on core services rather than all services. This change can truly impact IT's ability to deliver and maintain high-availability services.
Summary of Benefits
Using cloud services to supplement or replace IT functions should allow an IT department to deliver more innovative capabilities to the business by focusing more on the service delivery and less on the hardware and software updates. Most benefits derive from the pooled nature of cloud services being offered through multitenancy architectures (or more simply, economies of scale). Costs, risks, controls, and more are aggregated across thousands of customers rather than one individual organization's data center.
Many definitions of cloud computing identify self-service or self-provisioning as a benefit. Although self-service can help make cloud services easier to use, the reality is that self-service requires a mode of operations that includes service catalogs, automated provisioning and deprovisioning, and more to be effective. Therefore, we consider self-service as something that although beneficial in small environment is in reality a result of delivering good service-oriented architectures that may or may not be cloud based in nature.
In summary, cloud computing provides significant opportunities. Thinking these through in relation to your own business challenges is important. Perhaps even more critical, you want to remember that your competitors are also considering how to capitalize on these opportunities.
However, cloud computing has challenges. Your organization may already be ready to adopt and adapt to new technologies or ways of achieving your business goals, but finding success with cloud services may require a mindset that allows you to change how you manage risk and control. To achieve success with cloud, regardless of internal or external options, IT needs to be the service broker and aggregator for the business, providing guidance, cost management, and governance in this new model.
The Internet of Things (IoT), by being a perspective sphere, provides the space for numerous developers to reveal their creativity and design devices that will significantly facilitate an ability to control the basic activities. And this task appears so tempting that not only big corporate brands but also newcomers to IT field start creating smart devices for numerous purposes. And the achievements of the latter actors — or IoT startups — are in the center of attention in this overview.
But what turns simple attempts to create a smart device into a successful development worth appearing among the best IoT startups? The answer to this question depends on product effectiveness, the success of a chosen business model, and an accuracy of meeting customer needs. Therefore, the presented review of top IoT startups takes these criteria into consideration on the stage of choosing appropriate candidates. By addressing different demands (from the protection of a smart home to financial support to creative IT entrepreneurs), all 10 IoT startups selected here possess an outstanding ability to be successful on market — in terms of functionality of the designed solution, financial indicators, and customer satisfaction.
Here is our shortlist of 10 top IoT startups:
- Ninja Blocks
- P. Relan YouWeb Incubator
- Beep Networks
But why we chose them? Just look closer at their specifics described in the following sections — and you’ll get the answer!
#1 Plum — The Light Switch Reinvented
Plum is an outstanding IoT startup specialized in enhancing the connectivity within a smart house. Labeled as the ‘Nest of lightning’, it offers a client using a smartphone to switch on and off the lights at home with the only requirement needed — Wi-Fi connection.
Another great advantage of Plum — The Light Switch Reinvented which puts it in the list of top IoT startups is the elegance of the installation process. In particular, it includes answering two simple questions in messages (specifically, room location and the name of your Lightpad) within a highly customized mobile app. On the latter aspect, the application designed for this IoT startup has an intuitive and multifunctional touchpad that understands simple gestures. And all this together makes the user experience truly enjoyable — and puts Plum into the list of top IoT startups.
In fact, this IoT startup revolutionizes the very understanding of a smart home device. Instead of relying on some prescribed characteristics that a user should follow to achieve the desired level of technological enhancement, Plum SwitchPad offers their clients to customize their needs and get only what is wanted from smart lighting — nothing more, nothing less. In other words, the focus of design and innovativeness of this best IoT startup is on guaranteeing a satisfactory experience that encourages the clients to actually use smart lighting in their houses.
#2 Zuli Smartplug — One of the best IoT startups in terms of plug design
Zuli is an IoT startup that works on designing one and only small thing — but with the boosting functionality and wide perspectives of usage for a smart home. Precisely, Zuli is a smart plug that includes 4 features: Zuli Presence (the set of algorithms for tracking your location inside the house), Bluetooth Smart (for direct communication between devices that is not dependent on Wi-Fi connection), energy dashboard (which is a metering processor for optimizing energy consumption), and security functionality (meaning an emphasis on privacy of data storage).
In addition, this top IoT startup has a beautiful minimalistic design that doesn’t harm the effectiveness of its usage. For example, the customized and nice design of Zuli Presence simultaneously guarantees an accurate adjustment of lighting and temperature which based on your current location. And this mixture of performance and beauty makes the presented IoT startup truly outstanding.
Besides, the high level of customization is possible with a special scheduling feature. In practice, it allows imposing personalized rules within a smart house and enjoying a simplistic and curated setup process. With the opportunities the presented representative of top IoT startups offers, a smart home owner gets a full control over the basic facilities, being able to control both the comfort and the cost effectiveness of them.
Ninja Blocks — Smart Home Controller
In essence, Ninja Blocks works as a combination of hardware and software programs to provide the necessary level of connectivity between smart home devices. In particular, this IoT startup cooperates with various brands to ensure the proper level of support over the operation of different smart solutions. In this list, you can find top IoT startups and corporations that design Wi-Fi lightbulbs, media centers, and power sockets.
In addition, the Ninja Blocks app sends notifications of Uber arrival and a weather overview, which enlarge the functionality of this IoT startup beyond the limits of smart house walls. Specifically, within a Sphere app (available for Android 4.4+ and iOS 8+), you can receive various pieces of advice to fix the noticed issues. On this aspect, Ninja Blocks IoT startup is highly useful in terms of remote control over the house functionality — like switching heater from the distance of your office seat. Moreover, the layout is highly customizable, which means that Ninja Blocks learns from your preferences and changes the recommendations based on what is desired for the specific customer.
Finally, Ninja Blocks deserves its place in the rating of best IoT startups due to its entertaining gesture operation. On this aspect, the smart device can help you pause the movie and switch off the lights with a primitive hand movement. And it turns it into an elegant and functional solution for a smart home worth purchasing — and putting in the list of best IoT startups on a high rank.
#4 P. Relan YouWeb Incubator — A proper choice among top IoT startups for investment
P. Relan YouWeb Incubator is an IoT Startup that concentrates on supporting the talented youth in its striving to establish a successful company in the industries of gaming, consumer goods and services, and IoT. As the founder Peter Relan announces, the co-created model of developing products and services enables generating impressive profits and covering multiple fields. Under the umbrella of this IoT startup, the necessary funding received Epic!, Discord, got it!, Crowdstar, Agawi, Openfeint, CammeliaLabs, Fit-Any, Spaceport, Smart Commute, and Raddius.
Due to such a diversified network of cooperation, this top IoT startup manages to attract progressive entrepreneurs and meet the demand of various customer groups with up-to-date technologies and sophisticated business models. For example, the company possess the messaging system for wearables, mobile data analytics for big data sets, various real estate funds, and supports different best IoT startups. Moreover, P. Relan YouWeb Incubator is a well-known investor, transferring funds to Twitter, Tumblr, and Zynga.
By taking all the above-mentioned perks into consideration, it is relevant to call this representative of IoT startups as the most successful one in the sphere of investment Which surely guarantees its place in the list of 10 best IoT startups to watch.
#5 Highway1 — A representative of investing IoT startups that works as a hardware startup accelerator
In this list, Highway1 (a division of PCH) appears as a top IoT startup in terms of supporting hardware companies on the way of establishing the best design, experience, and customer satisfaction. In this case, the company proposes a working business model that makes such dreams come true. Precisely, this IoT startup accelerates the growth of the perspective ideas by increasing fundraising opportunities (organizing meetings with industry professionals and accumulating up to $100,000 per team) and the speed of a product launch (offering engineer assistance and supporting all the stages of development). Moreover, this representative of best IoT startups offers education (from experienced manufacturers and experts in the field) and enhanced design (on a world-class level). Finally, it develops businesses (by coaching and curriculum crafting) and community network (meaning alumni, mentors, and various vendors).
In practice, Highway1 supports its reputation of a top IoT startup in the chosen field with the impressive portfolio of companies it has helped — it includes Fast Co.Design, Tech Crunch, IEEE Spectrum, Fiercemedical Devices and Crowdfund Insider. And so, any IoT startup can confidently refer to Highway1 and be aware of receiving the needed level of expertise and business practice — including continuous testing with the users, ensuring meeting market expectations, and accessing top experts and stakeholders. In short, it’s evident that Highway1 is a specialist in eliminating all the typical obstacles in front of hardware companies on the stages of design, production, distribution, and selling.
#6 Butterfleye — One of the top IoT startups designing smart security cameras
Butterfleye is an IoT startup that offers an outstanding solution for a smart house security. Titled as Ooma Butterfleye, this top IoT startup tracks the presence of people and pets at home and provides the full picture of what’s going on while the house owners are away. Moreover, the smart device can distinguish a friend from a stranger — and sends alerts to you if only an unrecognized person enters the area. To guarantee the maximum level of protection, the developers invested heavily in battery storage — and a buyer can be sure that the house is safe even when Internet and/or power connection is interfered (for two or even four weeks!).
Within the package of a smart camera, Butterfleye IoT startup offers 24/7 livestream, customized facial recognition, built-in features to operate in case of outages, 5-second video capture, automatic arm and disarm, and talk & listen feature. Besides, the place among top IoT startups is guaranteed by the fact that video recordings are stored in a cloud for a week with the help of a bank-level AES encryption. Finally, an account can be connected to six cameras — and an unlimited amount of people can use them. With such an enhanced functionality and risk mitigation, Ooma Butterfleye proudly holds a title of ‘the world’s smartest camera’ — and had no choice but to appear in this list of best IoT startups.
#7 Beep Networks — Cloud-Connected Wireless Sensors
Beep Networks can be called the best IoT startup in the area of wireless sensors — with an accurate reporting on temperature, moisture, pressure, location, and other valuable data. As its most impressive feature, this IoT startup operates on LoRa technology, which enables its work for 10 years within a long-range wireless network. As for another perk, this choice among IoT startups allows covering the area of several miles — which goes further a typical one-house focus. In other words, Beep Networks is capable to address the needs of corporate buildings, university campuses, and giant plants.
Furthermore, the prominent benefit of this smart device is its connectivity. On this aspect, it makes it possible to plug in most of the sensors of your choice (including microphone and camera).
In short, this best IoT startup is the proper choice for those customers searching for a long-distance and long-term solution in the world of wireless sensors.
#8 Particle — Our choice among best IoT startups for IoT integration
Particle is an IoT startup that specializes in maintaining the entire IoT platform. In detail, this pick among top IoT startups connects hardware, software, IoT Device Cloud, and various IoT apps under the united network. To achieve this ambitious aim, the developers included cloud-supportive microcontrollers for hardware (to get the device online through Wi-Fi, cellular or mesh network), out-box connectivity (meaning in-built networking, protocols, protection, and SIM cards), reliance on Device Cloud, and by-default security (that includes non-stop monitoring, hardware keys, and access controls).
In other words, the appearance of Particle among top IoT startups can be justified by its outstanding ability to simplify the incorporation of the Internet of Things world into your daily life. In particular, this IoT startup is an expert in ensuring an easy kick start of using the hardware, establishing the trusted network (based on transparency and control), and integrating various existing apps (with steaming to the database of a user’s choice).
Hence, Particle is sophisticated enough to meet the complex IoT demands — and totally deserves its place among top IoT startups in this list.
#9 Orion Labs — A messaging platform for real-time communication
Orion is an IoT startup that specializes in guaranteeing a proper quality of communication between various actors — including teams, individuals, bots, and voice services. As the company itself describes its activity, it “works across a constellation of devices, on any device, over any distance, with any network, without boundaries.” Specifically, the service is provided through a wearable that has outstanding features of push-to-talk with unlimited range, supplementing the networking with bots and AI assistants, and mixing and matching separated devices.
Moreover, this IoT startup grounds on the principle of maximum simplicity, which means working on the basis of easy-to-use apps and the wearable (including AppTalk for iOS and Android and Onyx Smart Walkie-Talkies). Besides, Orion heavily invests in the safety of its service — and the customers gain an opportunity to gain instant and secure answer only when needed.
And so, it appears in this of the best IoT startups as the most reliable voice assistant from the sphere of the Internet of Things.
#10 Scout — Specialist in wireless sensors for corporate needs
Scout is an IoT startup that makes it possible to purchase high-quality sensors for a moderate price. Attached to a chair, these devices indicate whether the seat of vacant or occupied — which reduces the level of uncertainty and provides the significant level of control over the working environment. Besides, the functionality of the innovation includes tracking the state of lighting and/or heating (in fact, it shows whether somebody forgot to switch them off).
Moreover, the IoT startup provides real-time graphs and statistics on what’s happening around — and eliminates the need to gather and wait for monthly reports for critical insights and predictions. Because of this, an everyday behavior of the workers can be linked to the corporate context — and become more accurate.
Within the package, Scout offers 90-day sensor rental kit (with an unlimited number of wireless sensors), per-seat analytics (which includes movement, temperature, and light level data), and white-label (it means a customizable dashboard for clients with a specific corporate logo and brand colors). And due to such a comprehensive approach, it gains the position in this overview of 10 IoT startups to watch.
GoldenGate, from GoldenGate Software Inc., is a product few in the storage space may have heard about. But in the right environment, the software, which replicates structured data between databases, might be a better choice than traditional backup software for storage architects.
Jack M. Garzella, vice president of IT operations for discount online retailer Overstock.com, estimated that the transition from EMC Corp.'s Symmetrix Remote Data Facility (SRDF) migration software to GoldenGate for the company's massive Oracle, SQL and DB2 databases will save him millions on disk and maintenance costs in the years to come.
Overstock stores about 80 terabytes (TB) of data in its data center, keeping the data in TeraData data warehouses, where they can apply analytics to show, for example, a customer's propensity to buy certain products in the future. Garzella said the company made the switch from EMC storage and migration products to the TeraData warehouses and GoldenGate software over the past year when its sales and marketing departments demanded data be available to them instantaneously.
Garzella said that while the main benefit of GoldenGate's product is its ability to do continuous, up-to-the-moment replication, the fact that it is designed specifically for database data means he can use his storage more efficiently.
"With SRDF to do replication, you're sending over blocks of data every time they're changed," Garzella said. "With GoldenGate, we're not backing up data we don't care about."
That data Garzella doesn't care about is called "non-committed" data and refers to changes in a database not designated by the user to remain "persistent" or permanent.
"SRDF and BCV [Business Continuance Volumes] were sending changed blocks back and forth all the time. We're probably going to save about 4 TB of disk space with GoldenGate, which we can then designate for other areas of our operation.
"In terms of pricing for the product, our licensing cost us hundreds of thousands of dollars," he added. Over the next three to four years, Overstock expects to save $5 million to $10 million by better utilizing the disk it has and not having to buy any more.
This type of product, obviously, is not for everyone. Since GoldenGate's replication process relies heavily on database log files, it can't be used to back up, say, a Word document or e-mail.
According to Donna Scott, vice president and analyst with the Gartner Group, customers with very large numbers of servers will use traditional disk-based replication because there's less complexity in the implementation. With GoldenGate, each application requires its own instance of the software.
"But if you need higher availability, the ability to recover in a short time frame, or most importantly, the ability to report on data from a secondary database, this can work really well," Scott said.
Medical center migrates between databases
Businesses that have both large amounts of structured data and little to no tolerance for downtime are ideal for GoldenGate. One such business is the Montefiore Medical Center in New York City, the flagship in a consortium of small hospitals attempting to implement a "paperless" medical records system.
"Everything's automated now. There's no more paper," said Carl Baylis, Montefiore's assistant director. "You can't tell a doctor that for the next couple hours, no system will be available because you're doing backup. It just can't happen."
Montefiore uses GoldenGate to migrate patient records between its databases on a Hewlett-Packard Co. (HP) NonStop Tandem system, as well as to replicate them to a duplicate NonStop box at its disaster recovery site.
"GoldenGate is the only one that can take you down to the field level with data," Baylis said. "Some other (database replication) products will replicate records for you, but this has built in routines to change data."
According to Noel Yuhanna, senior analyst with Forrester Research, 85% of data is currently unstructured, meaning GoldenGate has a niche market at best at present. But products like it could grow in the next few years, he said.
"Only 20% of enterprise data is ever changed," Yuhanna said. "This idea that you don't really have to replicate all data in volumes of storage, but you can only replicate a portion and ensure its consistency, is catching on. There's a whole new evolution ready to take off to put currently unstructured data into databases as well."
According to Sami Akbay, senior director of product marketing for GoldenGate, while its product doesn't currently backup e-mail servers or file systems at the moment, it could be coming.
"We think that in the future, an e-mail is going to be treated more like a data transaction and potentially stored in a database," he said.
Other companies selling replication tools include: ITI Shadowbase, Oracle Corp., Quest Software Inc., Sybase Inc. HP, Kashya Inc. and XOsoft Inc. sell products more suited to unstructured files.