Showing posts with label cloud. Show all posts
Showing posts with label cloud. Show all posts

Thursday, December 15, 2016

Pivotal eyes cloud big data and app development

Pivotal eyes cloud big data and app development


Pivotal eyes cloud, big data, and app development Analytical DBMS: Pivotal Greenplum Database. In-memory DBMS: Pivotal GemFire and SQLFire. Pivotal HD used in combination with GemFire XD and HAWQ for in-memory analysis on top of Hadoop. Stream-analysis option: Pivotal is working a project aimed at integrating its GemFire (NoSQL) and SQLFire in-memory data grid capabilities with Pivotal Hadoop and Spring XD as a data-ingest mechanism to support scalable, streaming-data analysis. Hadoop distribution: Pivotal HD. Hardware/software systems: Pivotal Data Computing Appliance Theres no shortage of ambition at Pivotal, an EMC spinoff that offers big-data infrastructure as well as an abstraction layer for cloud computing (based on Cloud Foundry) and an agile application development environment (based on SpringSource). Pivotals big-data and analytics capabilities blend the Pivotal HD Hadoop distribution with GemFire SQL Fire in-memory technology, the Greenplum database, and HAWQ (Hadoop With Query) SQL querying capabilities. It also has close ties and in-database integrations with SAS analytics. The question with Pivotal is just how much energy, investment, and oomph it can bring to three bold fronts of next-generation computing: big data, cloud, and application development. Pivotals largest competitors -- IBM, Oracle, and Microsoft -- can rely on the revenue from well-established data-integration, data-quality, BI, and analytics software that Pivotal lacks. Competitors such as Cloudera, Hortonworks, and Teradata can focus exclusively on big-data analytics. Time will tell if Pivotals products and execution can keep up with its bold ambitions for big data as well as cloud integration and application development.
Pivotal eyes cloud, big data, and app development

Analytical DBMS: Pivotal Greenplum Database.
In-memory DBMS: Pivotal GemFire and SQLFire. Pivotal HD used in combination with GemFire XD and HAWQ for in-memory analysis on top of Hadoop.
Stream-analysis option: Pivotal is working a project aimed at integrating its GemFire (NoSQL) and SQLFire in-memory data grid capabilities with Pivotal Hadoop and Spring XD as a data-ingest mechanism to support scalable, streaming-data analysis.
Hadoop distribution: Pivotal HD.
Hardware/software systems: Pivotal Data Computing Appliance
Theres no shortage of ambition at Pivotal, an EMC spinoff that offers big-data infrastructure as well as an abstraction layer for cloud computing (based on Cloud Foundry) and an agile application development environment (based on SpringSource). Pivotals big-data and analytics capabilities blend the Pivotal HD Hadoop distribution with GemFire SQL Fire in-memory technology, the Greenplum database, and HAWQ (Hadoop With Query) SQL querying capabilities. It also has close ties and in-database integrations with SAS analytics.
The question with Pivotal is just how much energy, investment, and "oomph" it can bring to three bold fronts of next-generation computing: big data, cloud, and application development. Pivotals largest competitors -- IBM, Oracle, and Microsoft -- can rely on the revenue from well-established data-integration, data-quality, BI, and analytics software that Pivotal lacks. Competitors such as Cloudera, Hortonworks, and Teradata can focus exclusively on big-data analytics. Time will tell if Pivotals products and execution can keep up with its bold ambitions for big data as well as cloud integration and application development.

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Tuesday, November 15, 2016

About servers cloud

About servers cloud


What are Cloud Servers?

 

 

In some respects cloud servers work in the same way as physical servers but the functions they provide can be very different. When opting for cloud hosting, clients are renting virtual server space rather than renting or purchasing physical servers. They are often paid for by the hour depending on the capacity required at any particular time.
Traditionally there are two main options for hosting: shared hosting and dedicated hosting. Shared hosting is the cheaper option whereby servers are shared between the hosting provider’s clients. One client’s website will be hosted on the same server as websites belonging to other clients. This has several disadvantages including the fact that the setup is inflexible and cannot cope with a large amount of traffic. Dedicated hosting is a much more advanced form of hosting, whereby clients purchase whole physical servers. This means that the entire server is dedicated to them with no other clients sharing it. In some instances the client may utilise multiple servers which are all dedicated to their use. Dedicated servers allow for full control over hosting. The downside is that the required capacity needs to be predicted, with enough resource and processing power to cope with expected traffic levels. If this is underestimated then it can lead to a lack of necessary resource during busy periods, while overestimating it will mean paying for unnecessary capacity.
With cloud hosting clients get the best of both worlds. Resource can be scaled up or scaled down accordingly, making it more flexible and, therefore, more cost-effective. When there is more demand placed on the servers, capacity can be automatically increased to match that demand without this needing to be paid for on a permanent basis. This is akin to a heating bill; you access what you need, when you need it, and then only pay for what you’ve used afterwards. 
Unlike dedicated servers, cloud servers can be run on a hypervisor. The role of a hypervisor is to control the capacity of operating systems so it is allocated where needed. With cloud hosting there are multiple cloud servers which are available to each particular client. This allows computing resource to be dedicated to a particular client if and when it is necessary. Where there is a spike in traffic, additional capacity will be temporarily accessed by a website, for example, until it is no longer required. Cloud servers also offer more redundancy. If one server fails, others will take its place.
Below are the key benefits of cloud servers:
  • Flexibility and scalability; extra resource can be accessed as and when required
  • Cost-effectiveness; whilst being available when needed, clients only pay for what they are using at a particular time
  • Ease of set up; Cloud servers do not require much initial setup
  • Reliability; due to the number of available servers, if there are problems with some, the resource will be shifted so that clients are unaffected.

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Saturday, November 12, 2016

Amazon Delivers Unlimited Cloud Storage

Amazon Delivers Unlimited Cloud Storage


Amazon Delivers Unlimited Cloud Storage

Amazon gives customers the option to choose from two unlimited storage plans on Cloud Drive.
Shadow IT: 8 Ways To Cope
Shadow IT: 8 Ways To Cope
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Amazon is making a big move in the cloud storage space with a recent decision to bring unlimited cloud storage to Cloud Drive customers.
The e-commerce company announced March 26 that its rolling out two plans designed to provide secure storage for users existing content while also allowing them to automatically upload unlimited amounts of videos, music, photos, movies, and files to the cloud.
Customers with vast photo collections can choose the Unlimited Photos Plan, which will cost $11.99 per year, or less than $1 per month. This option provides endless photo storage in Cloud Drive and also includes 5GB of extra storage space for videos and other documents.
[Adobe Document Cloud Takes Aim at Paper]
For those with greater storage needs, Amazon is offering the Unlimited Everything Plan, which allows storage of new and existing documents, photos, videos, and music for $59.99 per year.
"Most people have a lifetime of birthdays, vacations, holidays, and everyday moments stored across numerous devices. And, they dont know how many gigabytes of storage they need to back all of them up," said Amazon Cloud Drive director Josh Petersen in the companys announcement. "With the two new plans we are introducing today, customers dont need to worry about storage space – they now have an affordable, secure solution to store unlimited amounts of photos, videos, movies, music, and files in one convenient place."
Both plans will be available for free three-month trial periods before their payment plans kick in. Amazon Prime customers and owners of the Kindle Fire, who already have access to unlimited photo storage, can choose to upgrade their plan. Current customers of Cloud Drive can switch plans via their account page.
This announcement makes Amazon a stiff competitor in the ever-growing cloud space, which is crowded with providers like Google, Apple, Dropbox, and Microsoft, battling for market share with cheap storage. Amazons endless storage will likely prove a tempting option for consumers with ever-growing piles of digital documents.
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Wednesday, November 9, 2016

About Cloud Computing What is Cloud Computing

About Cloud Computing What is Cloud Computing


What is Cloud Computing?

 

 

Cloud computing is a topic that many find confusing. It isn’t, though, as confusing as it sounds. In fact, most of those who claim not to understand the subject are part of the majority that use it daily.
 
In basic terms, cloud computing is the phrase used to describe different scenarios in which computing resource is delivered as a service over a network connection (usually, this is the internet). Cloud computing is therefore a type of computing that relies on sharing a pool of physical and/or virtual resources, rather than deploying local or personal hardware and software. It is somewhat synonymous with the term ‘utility computing’ as users are able to tap into a supply of computing resource rather than manage the equipment needed to generate it themselves; much in the same way as a consumer tapping into the national electricity supply, instead of running their own generator.
 
One of the key characteristics of cloud computing is the flexibility that it offers and one of the ways that flexibility is offered is through scalability. This refers to the ability of a system to adapt and scale to changes in workload. Cloud technology allows for the automatic provision and deprovision of resource as and when it is necessary, thus ensuring that the level of resource available is as closely matched to current demand as possible. This is a defining characteristic that differentiates it from other computing models where resource is delivered in blocks (e.g., individual servers, downloaded software applications), usually with fixed capacities and upfront costs. With cloud computing, the end user usually pays only for the resource they use and so avoids the inefficiencies and expense of any unused capacity. 
 
However, the advantages of cloud computing are not limited to flexibility. Enterprise can also benefit (in varying degrees) from the economies of scale created by setting up services en masse with the same computing environments, and the reliability of physically hosting services across multiple servers where individual system failures do not affect the continuity of the service.
 
There is also great choice in the level of security and management required in cloud deployments, with an option to suit almost any business:
 
A public cloud, for example, is a cloud in which services and infrastructure are hosted off-site by a cloud provider, shared across their client base and accessed by these clients via public networks such as the internet. Public clouds offer great economies of scale and redundancy but are more vulnerable than private cloud setups due their high levels of accessibility. More information can be found on our ‘What is a Public Cloud?’ page.
 
Private clouds on the other hand use pooled services and infrastructure stored and maintained on a private network – whether physical or virtual – accessible for only one client. The obvious benefits to this are greater levels of security and control.  Cost benefits must be sacrificed to some extent though, as the enterprise in question will have to purchase/rent and maintain all the necessary software and hardware. More information can be found on our ‘What is a Private Cloud?’ page.
 
The final cloud option is a hybrid cloud and this, as the name suggests, combines both public and private cloud elements. A hybrid cloud allows a company to maximise their efficiencies; by utilising the public cloud for non-sensitive operations while using a private setup for sensitive or mission critical operations, companies can ensure that their computing setup is ideal without paying any more than is necessary. More information can be found on our ‘What is a Hybrid Cloud?’ page.
 
Moving away from deployment models, broadly speaking there are 3 models of cloud computing which describe the service on offer; these are Software as a Service (SaaS), Platform as a Service (PaaS) and Infrastructure as a Service (IaaS). 
 
As with the other cloud computing categories, IaaS refers to the delivery of virtualised computing resource as a service across a network connection. IaaS specifically deals with hardware – or computing infrastructure - delivered as a service. Offerings include virtualised server space, storage space, network connections and IP addresses. The resource is pulled from a pool of servers distributed across data centres under the provider’s control, the user is then granted access to this resource in order to build their own IT platforms. IaaS can provide enterprises with great business benefits. More information on IaaS can be found on our ‘What is IaaS’ page.
 
PaaS is an extension of IaaS and describes a category of cloud computing that provides developers with environments in which to build applications, over the internet. In addition to the fundamental computing resource supplied by the hardware in an IaaS offering, PaaS models also include the software and configuration (often known as the solution stack) required to create the platform on which clients can create their applications. PaaS packages can be tailored to meet individual user needs; they can cherry pick the features of the service that are relevant to them while disregarding those that are not. PaaS provides a number of benefits to enterprises, including simplifying the development process for geographically split development teams. More information about Platform as a Service can be found on our ‘What is PaaS’ page.
 
SaaS is arguably the most common of the cloud computing variations; it’s the term used to describe a software delivery model in which applications are hosted (usually by a provider) and made available to customers over a network connection. Many people make use of SaaS without realising it as many web applications are delivered in this way; Gmail, Flickr, Twitter and Facebook are all popular examples of SaaS. Enterprise users also frequently make use of SaaS with many popular accounting, invoicing, sales, communications and CRM systems being delivered this way. More information about Software as a Service can be found on our ‘What is SaaS’ page.
 

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Friday, October 21, 2016

How to Effectively Work Cloud Computing

How to Effectively Work Cloud Computing


How to Effectively Work Cloud Computing

How to Effectively Work Cloud Computing

How to Effectively Work Cloud Computing - Cloud Computing systems or cloud-based computing works by using servers that work online and constantly on the Internet are connected.

At this server computer all data are stored including applications, installed on the server computer linked so that users can use any time when the Internet can be linked to a computer server.

For users who access the server storing the data or run a program, it takes the user must login and then the user can use cloud server resources to run a program without installing it on your own computer and also for storing data.

User runs an application provides several commands on the application, then the commands in the input by the user will be sent to the server across the Internet then processed / response by the server and then displays the results, the data from the results of this process are stored in the computer server, so every time the user wants to open and see the data that has been saved, the data will still be available on the cloud servers.

For example : 
The use of email users do not need to download and install the email application on his computer, just simply connect to the Internet, the user is able to use the email application on the cloud server.

Problem Of Cloud Computing

Data Security
Data security issues still be considered for the use of cloud systems, users of computers connected to the Internet network access server cloud, perhaps the intruders or call into the server computer cracker steal your data, then choose the server cloud that you value quite safe and have integrity the good one.

The Privacy
Privacy or data, of even the system used in implementing cloud server data encryption, but still allows the data stored in the cloud server readable by certain parties.

Prone intruders
Data security in the cloud computer can be a problem, such as the hacking of data, intruders like viruses / malware to the cloud server and be a problem if a security system that has been implemented by the server administrator has, it might happen.

Server Experiencing Off
The server experienced downtime caused by various measures such as high data capacity in the loading at the same time so that the server resources to be slow.
The server may be down due to unstable internet network server computer.

The Advantages of Using Cloud Computing

Efficient use of memory
The use of cloud computing infrastructure such as storage prepare various software no longer need to prepare a large capacity hard drive on his computer, the user simply by using the server.

The flexibility
Because the server is an Internet-based cloud service users to access at any time if it is connected to the internet cloud computing services make the user feel more flexible.

Fully scalable
Providing cloud services and offers data storage according to user request, the user easier management of data to be stored in the cloud server.

The disadvantage Using Cloud Computing

The user must be connected to the Internet
Require users to connect to the internet in order to access the server the user must provide internet network devices.

Cost for cloud server provider
Even smaller capacity than using multiple applications in the cloud computers with small capacity if instead you use the great resource of the server computer server cloud service providers pay your usage, it is reasonable.

Similarly, regarding cloud computing to take advantage of cloud computing technology using cloud-based applications to secure data that we consider important so that if there is damage such as damage to the stored data is still safe.

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Monday, September 19, 2016

How to setup a printer to google cloud print

How to setup a printer to google cloud print


How to setup a printer to google cloud print

Google Cloud Print

How to set up a printer to Google Cloud Print - When you want to print using the Google Cloud Print service, then it should connect the printer to the service in advance.

Google Cloud Print can print to Cloud Ready printers / devices that can be directly connected to the internet, for a classic printer connected to a Windows or Mac computer with the connection of Internet access.

Now if you use a Chromebook and you want to print a document, then you need to set up the Google Cloud Print so that access to the printer is connected.

When you use a Chromebook at work, school or at home? remember that network administrators can connect to multiple printers for you, not just one, so that the printer has could be used to get into account the office, home or school.

Access to Cloud Ready printers

Allows the use if the printer has a Cloud Ready feature and follow the instructions provided by the manufacturer.

Cloud access to the printer print classic

Connecting classic printer, then first enable the Google Cloud Print connector on the Windows or Mac computer connected to your printer. This service is highly recommended for you have been using Google Chrome. But if you use Windows XP, then you have to install Microsoft XML paper specification pack.

Do not connect the printer to your Chromebook because this method cannot be used or is not functioning.

When youve installed Google Chrome, follow these steps as to enable the Google Cloud Print connector.

  • Turn on your printer.
  • Log in to your user account
  • Go to Google Chrome.
  • Click on the Chrome menu Chrome menu on the browser toolbar your right.
  • Select the Settings.
  • Click on the Show advanced settings at the bottom.
  • Scroll down to the Google Cloud Print. Then click and add the printer.

Remember! sign in using your Google Account.

When your account option 2-step verification, then enter your application-specific password, not your Google Account password. You can create application-specific password, the section page Authorizing applications are also websites.
Then select the printer that you want to connect and click Add a printer.

The printer is now active and linked to your Google account connected to Google Cloud Print. Print to this printer whenever you sign in using your Google Account on a Chromebook.

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Tuesday, September 13, 2016

Download Apps Cloud Print Plus Google Play

Download Apps Cloud Print Plus Google Play


Download Apps Cloud Print Plus Google Play

Download Apps Cloud Print Plus Google Play

Apps Cloud Print Plus

Download Apps Cloud Print Plus Google Play - Cloud Print Plus is the first application that supports Google Cloudprint in 2011 until today, more than 2 million downloads.

Plus Cloud Print allows you to print files from the phone, for different type a printer supporting.

Cloud Print Plus Key Features :

  • Can manage the printer
  • Printer sharing with friends
  • Can print out a copy sms
  • Printing of direct contact
  • Print management jobs
  • Printing from facebook, dropbox, google drive, Box etc.
  • Create and print images
  • Easier to print a letter
  • Internal file browser
  • Printing web pages
  • Printing from clipboard

Note :

  • Licensing should be required reading to an SMS, as we allow you to print your sms.
  • There should also contact permissions on the reading, as we enable you to print your contact.

If you have an or Her Cloudprint are ready available in the printer (Brother Printer, Dell Printer, Epson Printer, Kodak Printer, Canon Printer, HP Printer, Konica Printer, Xerox Printer and others), the HP E-Print ready to be activated from your printer no longer need your pc to the other printers you need to do only on your PC to activate the ON.

Admirable Translation Team :
  • Maker Application (PT),
  • Fabrizio Alberti aka technofab (IT),
  • Awesome users Netherlands (NL),
  • Awesome users German (DE),
  • Roaddan of Québec (FR),
  • Dani Mediavilla (ES)

Cloud Print Plus Latest Version

Version : 1.5.2
  • The addition of support for Microsoft Office features
  • Powered remained to a aquamail
  • Bug fixed

Version : 1.5
  • The new icon
  • The new and improved UI
  • The addition of support for the ODT
  • Able to print job status report
  • The problem remains on Microsoft Skydrive

Download Apps Cloud Print Plus Google Play

https://play.google.com/store/apps/details?id=com.pauloslf.cloudprint&hl=en

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Monday, September 12, 2016

Amazon does it all in cloud

Amazon does it all in cloud



Amazon does it all in cloud Analytical DBMS: Amazon Redshift service (based on ParAccel engine); Amazon Relational Database Service. In-memory DBMS: None. Third-party options on AWS include Altibase, SAP Hana, and ScaleOut. Hadoop distributions: Amazon Elastic MapReduce. Third-party options include Cloudera and MapR. Stream-processing technology: Amazon Kinesis. Hardware/software systems: Not applicable. Amazon Web Services hosts a whos who list of data-management services from third-party players -- Cloudera, Microsoft, Oracle, SAP, and many others -- but the cloud giant has its own long-term ambitions where big-data analysis is concerned. Building on its Elastic Compute Cloud (EC2) and Simple Storage Service (S3) storage infrastructure, Amazon launched its Hadoop-based Elastic MapReduce service way back in 2009. In 2013, AWS added the Redshift Data Warehousing service (based on the ParAccel DBMS), which is supported by another whos who list of independent data-integration, business intelligence, and analytics vendors. Rounding out AWSs big-data capabilities are the DynamoDB NoSQL database management service and Kinesis Stream Processing service. Amazons biggest appeal is clearly to organizations running data-intensive applications on its cloud. That said, leading Hadoop distributor Cloudera recently partnered with AWS, apparently reasoning that many enterprises are choosing hybrid strategies in which theyre moving selected big-data workloads into the cloud while keeping sensitive data and mission-critical workloads on-premises. Look for AWS to exploit this opportunity by adding even more options to connect with enterprise data centers.

Amazon does it all in cloud

Analytical DBMS: Amazon Redshift service (based on ParAccel engine); Amazon Relational Database Service.
In-memory DBMS: None. Third-party options on AWS include Altibase, SAP Hana, and ScaleOut.
Hadoop distributions: Amazon Elastic MapReduce. Third-party options include Cloudera and MapR.
Stream-processing technology: Amazon Kinesis.
Hardware/software systems: Not applicable.
Amazon Web Services hosts a whos who list of data-management services from third-party players -- Cloudera, Microsoft, Oracle, SAP, and many others -- but the cloud giant has its own long-term ambitions where big-data analysis is concerned. Building on its Elastic Compute Cloud (EC2) and Simple Storage Service (S3) storage infrastructure, Amazon launched its Hadoop-based Elastic MapReduce service way back in 2009. In 2013, AWS added the Redshift Data Warehousing service (based on the ParAccel DBMS), which is supported by another whos who list of independent data-integration, business intelligence, and analytics vendors. Rounding out AWSs big-data capabilities are the DynamoDB NoSQL database management service and Kinesis Stream Processing service.
Amazons biggest appeal is clearly to organizations running data-intensive applications on its cloud. That said, leading Hadoop distributor Cloudera recently partnered with AWS, apparently reasoning that many enterprises are choosing hybrid strategies in which theyre moving selected big-data workloads into the cloud while keeping sensitive data and mission-critical workloads on-premises. Look for AWS to exploit this opportunity by adding even more options to connect with enterprise data centers.

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