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Posted on April 11, 2019April 11, 2019 by admin

Machine learning is rapidly becoming one of the most important trends in the enterprise software ecosystem. A combination of Moore’s law about GPU performance, the raise of big data and the evolution of technology stacks, have finally made the promise of machine learning a reality for many enterprises. However, the promise of machine learning extends beyond a standalone discipline and has the opportunity to power the next wave of innovation in the enterprise.

The last decade has seen a renaissance of innovation in enterprise software powered by movements like cloud, mobile and big data. With those technologies established as mainstream capabilities, the market is turning its attention to technologies that can become the next big thing in enterprise software. From the current fast growing technology trends in the market, machine learning seems to offer a seamless path to power the next wave of innovation in the enterprise.

There are many factors contributing to the adoption of machine learning technologies in enterprise environments. The rapid evolution of the machine learning stacks, the adoption of big data technologies as well as the explosion in the volumes of data processed by organizations are just some of the elements that are conspiring to embrace more advance data analysis techniques. For a technology movement to become transformational trend in the enterprise, it has to combine a strong technical value proposition with elements such as distribution, market maturity or cost of adoption. From everything we can see, machine learning has all the ingredients to become the next power the next wave of innovation in the enterprise.

5 Reasons Why Machine Learning Will Transform the Enterprise

Machine Learning Stacks are Finally Useful

After almost 20 years of evolution of machine learning stacks, they have finally reach a point in which they are being widely adopted by developers and incorporated into third party applications. In that sense, some of the machine learning platforms and frameworks based on technologies like R and Python enjoy large and active developer communities that accelerating the level of innovation in the data science space.

Data Volume Challenge

The explosion in the volumes of data stored by organizations has drastically improve the viability and efficiency of machine learning models. As you can imagine, machine learning supervised and unsupervised algorithms tend to be more effective as they process larger data sets.

It’s not About Internal Data Anymore

For the last 30 years, enterprise applications have been built using relational database models optimized to store internal data. The explosion of social and mobile technologies have completely changed that scenario requiring applications to process diverse set of unstructured and semi-structured data. In that context, machine learning algorithms tend to be very effective to analyze large volumes of external data and correlate it with internal data sources.

Complementing Information with Knowledge

As the volume of information processed by organizations increase, machine learning models will become essential to extract intelligence from those data sources using techniques like statistical regression, classification or clustering. From that perspective, machine learning solutions are becoming the channel to transform raw information into knowledge that can be leveraged in enterprise business processes.

Seamless Distribution

One of the greatest things about machine learning solutions in the enterprise is that they can leverage existing distribution channels as part of SaaS systems or other line of business applications. In that context, SaaS systems can be extended with specific machine learning models to provide better insights and predictions about its data.

The Machine Learning for X Model

Replace X with your favorite industry and you have a solid business model ^^

The rapid evolution machine learning stacks is taking place not only on the platform side but in the form of industry-specific solutions that are leveraging data science to enable additional levels of data insights and intelligence. In this model, machine learning is serving as an enabler to advanced domain specific capabilities. Below we can find some examples of sectors that are being transform by the use of machine learning and data science.

Marketing

One of my good friends always jokes that some of the best minds of our generation are spending their days finding better ways to place advertisement. That’s’ just one of the best examples of how machine learning is transforming marketing. Predictive lead scoring or intelligent ad and content placement are some of the new and popular marketing techniques that are actively rely on machine learning models.

Sales

Forecasting analysis, customer sentiment analysis, customer churn predictions are some of the examples of machine learning disrupting traditional sales processes. These techniques are starting to be included in traditional sales tools such as CRMs and ERPs to create more intelligent sales processes.

Security

Machine learning is powering the next generation of innovation in the enterprise security space. Techniques like security Threat analysis, malicious pattern recognition are actively used in modern security platforms to provide more intelligence about potential security risks in enterprise operations.

Finance

Financial technology is being completely disrupted by the emergence of data science and machine learning. Equity investment, high frequency trading, financial planning etc are some of the most innovative use cases that are leveraging machine learning in the financial industry.

Operational Monitoring

The lead platforms in the application performance and operational monitoring space are starting to leverage machine learning to obtain additional insights about system logs or application activities. Additionally, many of these platforms are starting to leverage machine learning to proactively predict failures about specific business processes and adapt accordingly.

The Next Decade of Innovation in the Enterprise Will be Powered by Machine Learning

Machine learning has all the characteristics of becoming one of the most transformational forces in the next generation of enterprise software solutions. Even though the space is still in very early stages, we are already witnessing the transformational impact that machine learning is having in several enterprise sectors. As the space continues evolving, we should starting to see many of the traditional enterprise software systems being completely architected to leverage machine learning techniques. There is certainly a decade-long opportunity ahead.

TOP 10 POWERFUL CLOUD MANAGEMENT TOOLS

Posted on August 21, 2018January 15, 2019 by admin

The right cloud management tool may bring flexibility, speed, security, and cost effectiveness to almost any IT organization. We highlight a few of the most famous and powerful options.

Large numbers of companies adopted cloud services to achieve cost savings, flexibility and scalability of the IT infrastructure. But, controlling your stresses theses services can be harder in practice, involving intricacies as management and cost evaluation for multiple services running across multiple clouds programs, resource consumption information, integration with some other business tools, along with other factors. A wide assortment tools are available to deal with these challenges and assist you facilitate the efficient operation of applications and services in the cloud.

Vendors offer a wide range of cloud management tools which empower IT organizations to build, buy, manage, monitor, track, and maximize their cloud resources. With the support of those tools, organizations can save effort and time while still allowing IT staff to concentrate on more strategic goals. These tools also assist in monitoring user interactions with cloud infrastructure and handling resource allocation. In the cloud market, different tools have particular characteristic collections. Capabilities include unified management across multiple clouds, integration with 3rd party tools such as configuration and monitoring purposes, dashboards and reports for more comprehensive details about resource consumption, notifications and alarms when predefined thresholds are attained, and controlled access to resources to avoid over usage or unauthorized access.

By simplifying the management of cloud environments and lowering the complexity and cost of managing many tasks, the right cloud management tool may bring flexibility, speed, security, and cost effectiveness to almost any organization. Many individuals ask about the best cloud management tool, but it is essential for users to choose what cloud management features and functionalities they want for their business, and after that find the best tool which fits. In this week’s episode of the Top in the Tech series, we present a selection of cloud management tools which may help manage the cloud infrastructure effectively.

1. Cloudability Cloud Management
Cloudability is a price management tool for monitoring and optimizing cloud expenditures. It assists organizations monitor resource consumption information and provides various reports to effectively assess and manage finances. Cloudability supports several audiences, private and hybrid service providers. Features include custom usage reports for sharing and scheduling, custom dashboards to provide a single view of helpful info, budget alarms when the predefined spending limit is triggered, Reserved Instance planner to get successful provisioning of Amazon reserved cases, and Application programming interface access to make information available from any other business intelligence tool. Additionally, it provides analytics, multi user support, and filtered views of info to compare spending over multiple cloud services.

2. VRealize Business
VMware’s vRealize Business is a cost and usage management tool for cloud based services. It provides info on the cost of virtual machines and utilization of shared resources running in the cloud to help manage budgets and resources. It also provides insights into capacity and efficiencies to simplify cloud infrastructure management. VRealize Business can be integrated with various public, private, and hybrid clouds. The platform provides usage details through consumption reports and usage metering, and it performs simulations of cloud environments based on costs and utilization. It also tracks actual versus planned or forecasted spending to capture variants and gives managers the capability to identify top spenders and consumers of all IT services.

3. Cloudyn Cloud Management
Cloudyn is a cloud management tool which offers a wide range of functionalities to manage and optimize the costs and performance of public and hybrid cloud deployments. Mainly it provides insights on spending and helps managers deploy resources accordingly. Cloudyn is customized for AWS, Microsoft Azure, Google, and OpenStack deployments. A single dash panel helps managers visualize detailed details on cloud resources, governance, and reporting. Cloudyn provides insights on Cost-Effective Use of AWS EC2 instances and allows managers to compare the cost and performance of resources on AWS and Google Cloud. Customized alerts and actionable insights with recommendations can be found in the premium edition of the tool.

4. Dell Cloud Manager v11
Dell Cloud Manager v11 is a tool that allows managers to track and control cloud usage and spending. It provides agility, governance and freedom to select from a broad range of cloud platforms, so enterprises can build the infrastructure that meets their customized business needs. Dell Cloud Manager v11 supports various public, private, and hybrid clouds including Amazon Web Services, Apache CloudStack, Digital Ocean, Google Compute Engine, Joyent Cloud, Microsoft Azure, OpenStack, ScaleMatrix, Virtustream, VMware vSphere 5.5, and Windows Azure Pack. Additional clouds can also be supported by Dasein Cloud. Features include role based access control to allocate specific levels of access to users, encryption for data security, insights on cloud spending to manage the spending budget, compatibility with some other tools for monitoring and logging purposes, self service provisioning, auto scaling and auto healing of applications, and a service catalog that allows the capability to compare, purchase, use, and manage public clouds and cloud applications. Dell Cloud Manager integrates with some other configuration management tools like Chef and Puppet, offers multi cloud management from a single console, and allows Application programming interface integration to extend the functionality and procurement of new public cloud accounts throughout the tool.

5. RightScale Cloud Management
RightScale’s Cloud Management system provides one console to design, deploy, operate, and regulate infrastructure and applications in both public, private, and hybrid clouds. It will help companies reduce outage risks and maximize prices for cloud based operations. RightScale supports an assortment of public cloud platforms such as Amazon Web Services, Google, HP, Rackspace, Microsoft Azure, IBM Softlayer, and private cloud platforms such as CloudStack, OpenStack, and VMware vSphere. The system enables definition of support catalogs and server templates to easily deploy machines, integration with some other configuration management tools such as Chef, Doll, Anab, Salt, Bash, along with Powershell, and unified management of multiple clouds tools such as storage, database, firewalls, network, Domain Name System, and more.
Additionally, it provides automated backups, assisted failover, and disaster recovery environments to decrease downtime, role based access control, reporting, and audit histories to monitor changes among sources, and triggered and automated notification alarms.

6. BMC Cloud Management
BMC provides tools to control cloud operations and lifecycles, helping companies optimize capacity and costs with unified management across all platforms. BMC Cloud Management provides support for various public, private, and hybrid, BMC Cloud Lifecycle Management provides simple usage cases and scales to support provisioning of complex workloads in a production class hybrid vehicle clouds and provides the following tools for controlling your stresses services in the cloud.

– BMC Cloud Lifecycle Management provides simple usage cases and scales to support provisioning of complex workloads in a production class hybrid vehicles. It gives a self service portal site to offer a smooth user experience, built in integration with change management along with a configuration management database in tracking service wellness through dashboards and car scaling resources. Additionally, it aids in monitoring service health through dashboards and auto scaling resources down or up according to predefined support provides capacity analytics to examine current and future capacity across all.

– BMC Cloud Operations Management provides the performance and capability management necessary to conduct a reliable cloud infrastructure.
It gives performance analytics to spot under provisioned tools provides capacity analytics to examine current and future capacity across all operation plan capacity requirements, in addition to cloud panorama to cost for cloud solutions. Additionally, it the real time health of all services across multiple clouds piles, infrastructure at the end sources to efficiently plan capacity requirements, as well as cloud panorama to evaluate to manage resources across the infrastructure and support user.

7. HP Hybrid Cloud Management
Powered by HP Cloud Service Automation, which can help businesses plan, construct, and run cloud solutions from one control point. It provides centralized management capacities to manage resources across the infrastructure and support different public, private, and hybrid platforms, such as HP’s Helion Cloud.

HP Hybrid Cloud Management is mostly based on HP Cloud Service Automation, which will be a business grade solution for cloud providers. HP Cloud Service Automation builds on the capabilities of HP Server Automation and HP Operations Orchestration. The system provides centralized control for secure and compliant solutions monitoring and coverage for handling performance and utilization of tools. Additionally, it supports integration with some other management tools to get better coverage, process management, and security administration.

8. IBM Cloud Management
The IBM Cloud Management system helps enterprises manage and provision tools, optimize the patch cycle, and gain visibility into usage and costs of cloud computing infrastructure. IBM Cloud Management supports different public, private, and hybrid platforms including IBM SoftLayer, OpenStack, PowerVM, IBM System z, VMware, and Amazon EC2. The IBM Cloud Management platform carries a broad range of products including IBM Cloud Orchestrator, IBM SmartCloud Cost Management, and IBM SmartCloud Patch Management. Features include integration with existing tools for metering, use, accounting, monitoring, and capacity management, detailed information on resource usage, and advanced analytics with reporting to provide visibility into infrastructure.

The system also accepts Norback retrospective and chargeback procedures to provide metering, also it’s got a price rating tool for monitoring business procedures against budgets.

9. Microsoft Operations Management Suite
Microsoft Operations Management Suite provides cloud IT management solutions to provide control capabilities throughout the hybrid cloud. It offers a unified view of all IT assets for handling tasks. OMS supports different public, private, and hybrid platforms, including Microsoft Azure, AWS, VMware, and OpenStack. Microsoft OMS includes Operational Insights, Website Recovery, Backup, and Automation. Other features include real time operational insights with attributes such as custom dashboards, integrated search, and solution gallery, automation of manual and repeated tasks utilizing runbooks and graphical workflow authoring tools, protection of consumers, servers, and workload with audit, breach investigation, malware, along with system update assessments, and integration with existing tools including the System Center environment.

The suite also provides assistance for application, server, and data backups, automated protection and replication of both VMs, orchestrated retrieval, and customizable retrieval plans.

10. CloudMatrix
CloudMatrix out of Gravitant is a cloud brokerage and management software that assists IT organizations with numerous tasks in the entire cloud based IT chain, including evaluate, compare, design, secure, provision, operate, and control. It assists companies centralize management of cloud tools and budgets and supports different public, private, hybrid, and community cloud platforms including Amazon Web Services, Microsoft Azure IaaS, Verizon Communications Terremark, VMware vCHS, VMware vCD 1.5 and 5.1, along with OpenStack. Attributes includes centralized financial reporting for spending budget control, detailed reporting of tools, what-if analysis, advanced catalogs, an application store to print IT solutions, predefined policies at monitor consumption, and application provisioning.
In addition, it provides tools to compare clouds and calculate Return on investment for multi cloud environments.

CLOUD VPS REGISTRATION GUIDE FREE ONE YEAR WITHOUT VISA CARD

Posted on August 2, 2018May 14, 2019 by admin

Hello, I am new to writing articles. This time around I will introduce you to a new CLOUD VPS service provider with a free trial period of up to 12 months, if you have ever visited your blog should have read If you have any questions, please do not hesitate to contact us.Hello, I am new to writing articles. This time around I will introduce you to a new CLOUD VPS service provider with a free trial period of up to 12 months, if you have ever visited your blog should have read If you have any questions, please do not hesitate to contact us.

Hello, I am new to writing articles. This time around I will introduce you to a new CLOUD VPS service provider with a free trial period of up to 12 months, if you have ever visited your blog should have read If you have any questions, please do not hesitate to contact us. Hello, I am new to writing articles. This time around I will introduce you to a new CLOUD VPS service provider with a free trial period of up to 12 months, if you have ever visited your blog should have read If you have any questions, please do not hesitate to contact us.

Free VPS Hosting 90 Days Application Guide
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MACHINE LEARNING WILL POWER THE NEXT GENERATION OF ENTERPRISE SOFTWARE

Posted on August 2, 2018April 11, 2019 by admin

EXID is the abbreviation Exceed In Dreaming, is a Korean girl group founded by AB Entertainment in 2012, currently consists of 5 members: Solji, LE, Hani, Hyelin and Jeonghwa managed by BANANA Culture company.

If you love the EXID group, let’s see the members of the EXID band to better understand the members’ tastes, styles….

Profile member EXID

EXID group member details

The official EXID group of 6 members including Dami, Yuzi, LE, Hani, Haeryung and Junghwa on February 16, 2012 with Holla’s debut digital single. Two months later, Dami, Yuzi and Haeryung left the group and were replaced by Solji and Hyerin. With a 5-member lineup, the group released Hippity Hop’s first EP in August 2012.
EXID started to become famous when the famous fancam of member Hani led to the single “Up & Down” (2014) suddenly reaching number 1 on Gaon’s singles chart after 4 months since published.

1. Jeong Hwa

The stage name: Jeonghwa
Birth name: Park Jung Hwa
Location: main dancer, singer, rapper, visual
Birthday: May 8, 1995
Zodiac: Taurus
Height: 169 cm
Weight: 48 kg
Blood type A

Interesting information about Jeong Hwa

– She was born in Anyang, Gyeonggi, Korea
– She is a former JYP trainee.
– She appeared in the Wonder Girls’ “Tell Me” MV.
– She appeared in Huh Gak’s “Whenever You Play That Song” MV.
– She appeared in several episodes of “Match Made in Heaven Returns”.
– She wants to be an actress since she was a kid.
– She participated in “The Revenge of the Wife” when she was very young.
– She is very friendly.
– She can play the piano.

2. Hyerin

Hyerin Stage name: Hyerin
Birth Name: Seo Hye Rin
Title: Vocalist
Birthday: August 23, 1993
The Zodiac: Virgo
Height: 166.7 cm
Weight: 47 kg
Blood type O

Interesting information about Hyerin

– She was born in Gwangju Korea.
– She is the only child in the family.
– She graduated from Dongduk Women’s University.
– The name Hyerin is Jenny.
– Favorite food: Sushi
– Favorite color: Blue
– The ideal type: Shinhwa
– She does not like cats.

3. Hani

Stage name: Hani
Birth Name: Ahn Hee Yeon
Position: singer, image, group face
Birthday: May 1, 1992
Zodiac: Taurus
Height: 168 cm
Weight: 50 kg
Blood type: AB

Interesting information about Hani

– She was born in Seoul, South Korea
– She is a former JYP trainee.
– She is very smart, with 145 IQ.
– She studied in China before.
– She speaks English and Chinese.
– Hani has a cat named Fati.

4. LE

Stage name: LE
Birth name: Ahn Hyo Jin
Location: Main Rapper
Birthday: December 10, 1991
The Zodiac: Sagittarius
Height: 168 cm
Weight: 50 kg
Blood type: AB

Interesting information on LE

– She was born in Cheonan, Chungcheong, Korea
– Family: brother
– She likes to play Lego
– LE and Zinger (Secret) are very close.
– She collaborated with Huh Gak on “Whenever You Play This Song”.
– She is a member of the group “Jiggy Fellaz” under the name “Elly”
– The girl singing in MBLAQ’s “Oh yeah” was LE, when she was in Jiggy Fellaz.
– She collaborated with BIGSTAR’s FeelDog and B2ST’s Junhyung for “You Got Some Nerve”.
– LE is a former Cube trainee.
– She participated in “Show Me the Money 2”.
– LE has a tattoo. It is a heart and has a musical note inside to express her love for Music.

Stage name: Solji
Birth name: Heo Sol Ji
Title: Leader, Lead Vocalist
Birthday: January 10, 1989
Zodiac Capricorn
Height: 170 cm
Blood type O

Interesting information about SOLJI

– She is an R & B singer.
– She was a member of 2BN.
– Solji released a total of 23 singles with 2NB, but nothing succeeded.
– She also has a solo career, she released a single in 2008.
– Solji is vocal coach of EXID before joining the group.
– In 2015, she won the King of Mask Singer (a show hidden song).
– She likes to hike.
– Solji’s nickname is Heo Bad Gas (Hani has said that whenever they are dieting and they will only eat eggs she always fart)
– Solji has a dog named Choco. Its breed is Chihuahua.

The group EXID is one of the most promising Korean girl groups and has a huge fan base. Send congratulations and encouragement to this favorite girl group so that the cute girl can burn herself with the most fiery songs.

5/5

(2 Reviews)

THE NEXT WAVE OF ENTERPRISE SOFTWARE POWERED BY MACHINE LEARNING

Posted on August 2, 2018January 15, 2019 by admin

Enterprise software is about to undergo radical transformation — a substantial change that will make the shift to software as a service (SaaS) look like a simple facelift. This transformation is being powered by machine learning.

With machine learning, computers can process and mine data in real time to automatically discover insights and generate predictive models. Companies can find patterns and foresee what will happen in the future based on real-time analysis of their data. The possibilities fueled by machine learning are endless.

Rather than having humans enter data using a web form sitting on a database, machine learning solutions automatically mine data from both inside and outside the enterprise. This data may reside in historically unstructured systems like emails and calendars or from call centers or legacy voicemail systems. The software will not only aggregate and organize this data, it will mine this information to generate insights and predictions, which can then be used by business people to make decisions.

THE PROBLEMS WITH TRADITIONAL ENTERPRISE SOFTWARE

Machine learning eliminates many problems with traditional enterprise software solutions. First, in traditional software, the data residing in the “system of record” is only as good as the quality of the human input. It’s a well-known reality that most sales people do a poor job of updating CRM info, resulting in weekly sales calls between sales managers and account execs and the myriad spreadsheets used to track the “actual” pipeline data.

Also, traditional enterprise systems built on relational databases are not good at presenting longitudinal views of information and, therefore, are impaired at generating patterns or insights. Hence, most corporations rely on large data warehouses that receive data dumps from enterprise systems. In this approach, business people must wait weeks, if not months, before the data teams can produce useful insights.

Lastly, traditional enterprise systems rely on thousands upon thousands of human-created and curated rules — rules that are static and, by definition, become obsolete as businesses evolve.

WHY THE INCUMBENTS WON’T WIN

What makes this next revolution so exciting is that it likely won’t emerge from within the existing software leaders. While the SaaS wave has largely been driven by enterprise software veterans (Marc Benioff, formerly of Oracle, Dave Duffield and Aneel Bhusri from PeopleSoft), this new wave is being pioneered by founders and teams largely outside the traditional stomping grounds.

Why? The skill sets and technical competencies required for successful machine learning software companies are different than the database, forms and workflow expertise found at traditional incumbents. Instead, the founders of this next-gen set of companies are more likely to come from Facebook, Google and Twitter than from Oracle or SAP.

The consumer Internet players have been using machine techniques for years to analyze and act on large volumes of data — dictated by the impossibility of using humans to create and update rules on a real-time basis.

EMERGING LEADERS IN MACHINE LEARNING APPS

This new wave of enterprise software, powered by machine learning, is already finding its way into core business disciplines:

Sales: Gainsight and Clari (both BCV portfolio companies), Lattice, Insidesales.com and Gainsight are using data science and machine learning to automatically detect sales opportunities and renewals at risk and to generate more accurate sales forecasts.

With these solutions, sales and account managers get alerted ahead of time by the “machines” to specific customers or deals that are at risk, thus allowing management to take corrective action. Whereas legacy sales solutions generally just provide a snapshot in time, these newer companies are offering actionable, forward-looking insights, thereby driving enormous value to the enterprise.

Marketing: Captora and Persado, which are both BCV portfolio companies, are using data science to rapidly personalize and evolve content to meet the shifting needs of prospective customers. With solutions like these, traditional legacy marketing vendors simply become commodity-like delivery vehicles and repositories, while the intelligence layer provided by these vendors will increasingly occupy the strategic mindshare of the CMO.

Human Resources: Entelo, Gild and Concept Node are using machine learning models to identify and recruit talent and to make internal teams work more effectively. Legacy applicant tracking systems will become replaceable back-end systems, while the actual “work” of recruiting talent will take place in these newer solutions.

Finance: Anaplan, Adaptive Planning and Trufa are part of a new generation of finance-oriented companies that are using predictive analytics to transform the financial planning function.

Traditional finance software is all about recording every historical financial transaction. In contrast, these predictive analytics systems provide dynamic views into opportunities to drive more profit, grow faster and generate efficiencies — many of which may arise unexpectedly as business and market conditions change.

DECADE-LONG OPPORTUNITY AHEAD

For entrepreneurs and investors, this is an exciting time to innovate and place new bets in enterprise software. BCC Research predicts the machine learning market will reach $15.3 billion by 2019, with an average annual growth rate of 19.7 percent. One of the early growth categories is predictive analytics software, which is expected to reach $6.5 billion worldwide in 2019, up from $2 billion in 2012, according to Transparency Market Research.

As we look forward, machine learning will be the defining characteristic that distinguishes “legacy” from “modern” enterprise applications. Every software category will be impacted — and the winners are all up for grabs.

CLOUD COMPUTING-WHAT IS CLOUD COMPUTING?

Posted on August 2, 2018January 15, 2019 by admin

You may have heard the term cloud computing or “Cloud Computing”, so you understand what is cloud computing? There are so many definitions flying around that you wouldn’t be alone if you struggled to define it. Cloud computing is simply a set of pooled computing resources and the services offered on the web.

Cloud computing is not to be confused with grid computing, utility computing, autonomous computing or related to the interaction of a number of resource virtualization. Cloud servers ™ connect and share information based on the level of site traffic on the entire network. Cloud computing is often offered as a service “through the Internet, usually in the form of infrastructure as a service (IaaS), platform as a service (PaaS), or software as a service (SaaS).

Customers using cloud computing does not have to raise capital to buy, manage, maintain and expand the physical infrastructure needed to handle drastic traffic fluctuations. Instead of having to invest the time and money to keep their sites featured; with cloud computing customers need only pay for the resources they use. Highlights the special characteristics of cloud computing is the ability to calculate elasticity, stretch resources, means that customers no longer need to predict traffic, but can promote their sites is strong and in a natural way. A technique for peak traffic becomes a thing of the past.

Simply put, cloud computing is the virtualization of computing resources and applications. Instead, you use one or more of the real server (just before the eye, can touch it, can you push the toggle button) then you will use the resources to be virtualized (virtualized) environment through the Internet. They from the cloud and cloud are from metaphors (metaphor) for the Internet.

So, to be able to deploy an application (for example a Web page), you must go buy/rent one or more servers (server), then put the server in the data center (data center), the cloud now allows you simplified the process of purchase/ rent. You just raised its requirements; the system will automatically pick up the free (free) resources to meet your requirements. Therefore, including a few basic benefits of cloud computing is as follows:

Using computational resources dynamically (Dynamic computing resources): The resources allocated to business what business wants an immediate way. Instead of the business must calculate whether to extend or not, must invest the server business then just ask “Hey, cloud, we need additional resources equivalent to 1 CPU 3.0 GHz , 128 GB RAM… “and the cloud will seek resources to provide for you”.

Reduce costs: enterprises will have the ability to cut costs to purchase, sale, installation and maintenance resources. Apparently instead of having to send a specialist to go buy a server, the server settings, server maintenance then you don’t need to do anything in addition to determine the exact needs and the resources required. Too convenient!.

Reduce complexity in the structure of the business: businesses produce goods which must have both a IT professionals to operate, the server maintenance is too expensive. If this process were to outsource business will only focus on the production of the goods his expertise and reduce the complexity of the structure.

Increased ability to use computational resources: one of the questions the headaches of the investment resources (e.g. servers) is how long it will run out of depreciation, I like investment with interest whether or not there be outdate about technology or not … When using the resources on the cloud, you don’t have to care about this anymore.

However, to be able to make the most of the cloud, then it is important that businesses need to find a “cloud” provider is good enough to satisfy yourself all the things on. In the future, the cloud will be helpful when it’s reaching even to the use of the surplus resources in your own personal computer. CloudHost is one of the providers of cloud IaaS model first in Vietnam.

CLOUD COMPUTING SECURITY

Posted on August 2, 2018January 15, 2019 by admin

Introduction

Cloud Computing Security (cloud computing security or abbreviated cloud security) is a field of study including policy issues, technology, and controls to protect data and the architecture of the cloud.

Security issues related to cloud computing

Cloud computing security, consists of two arrays: the security issues of cloud computing providers (organizations providing software, platform or infrastructure) and encountered the problem of the security of the customer experience. The cloud computing provider to ensure that the infrastructure that they offer are safe with the sense that the data and the application of the client are protected. Meanwhile, the customer must ensure that the providers have adopted appropriate security measures to protect their information.

The driver of cloud security

The security architecture of the cloud [1] effective only if the deployment was the appropriate defense method. Security architecture, cloud computing efficiency should recognize the problems relating to the security. The management of privacy issues related to the control and security control. The controls are in place to protect the weaknesses in the system and reduce the impact of an attack. While there are many ways to control the security of cloud computing, there are some popular ways:

3.1. Block

This control is set to prevent the assault with the intent to cloud computing system. Relatively similar with a sign warning in fences or property, these controls do not reduce the capability of the system being hurt.

3.2. Prevention

The controls enhance the power of the system by managing the vulnerabilities. Preventive control will protect the flaw of the system. If an attack happens, preventive controls are in place to ensure minimal damage and security violation of the system.

3.3 Repair

Adjustment controls, repairs are used to reduce the impact of attacks. Unlike preventive controls, repair controls are implemented when attacks occur.

3.4 Troubleshooting

Metering controls are used to detect any possible attack on the system. In the event of an attack, the detection control will signal the precautionary control or remedy to solve the problem.

Aspects of cloud security

The aspects of cloud computing security are aggregated into the three most common aspects: security and confidentiality, compliance, and legal or contractual issues.

4.1. Security and privacy

Identity management
Personal security
The reasonableness
Application security
Computer privacy
Legal issues

4.2. Policy

Many regulations relating to the storage and use of data, including the payment card industry data security standard (PCI DSS), the health insurance and Accountability Act (HIPAA), Sarbanes-Oxley. Many of the rules on the regular reporting requirements and was audited. Cloud providers must allow their customers can respond in accordance with the regulations.

CLOUD COMPUTING HELPS TO ENHANCE COMPETITIVENESS

Posted on August 2, 2018January 15, 2019 by admin

The context of the IT business in 2013

There are 2 main factors promoting the development of ICT in business this year.

Firstly: virtualization technology is the key element that allows organizations to innovate and grow by streamlining IT operations to support the objectives and business priorities, while allowing the deployment of strategic it project. According to the survey, the virtualization has helped the Asia-Pacific region are minimalist 98 billion us dollar from the year 2013 to 2020 year for spending related to hardware, power, real estate and management costs. Virtualization is one of the factors that have innovative and powerful converter for the IT industry at present and the entire cost cutting was said on that will be used to conduct strategic projects in this field.

Secondly: This industry is turning to approach “defined by the software” (Software-Defined) in the management of the data center. The data center is defined by software (Software Defined Datacenter) and currently helping the IT business to mount more closely, flexible, allowing optimal leverage cloud services to private and public clouds to help the workforce becomes more mobile (BYOD trend).

The most powerful trends in the market of Vietnam which is the development of cloud computing. The ratio of cloud application market in Vietnam is now 39%, and cloud computing is considered a top priority in the business thanks to help improve business performance.

The current challenge for the enterprise that is the direction the IT projects fit in with the needs of the customer. In Vietnam, 88% of businesses said that their first priority is adjusted to match the growing expectations from customers and improve customer satisfaction.

One other trend in Vietnam is mobile workforce using many devices. The business will have to expand the core principles of virtualization to create the virtual workspace for end users to work when moving.

“Can call this trend is BYOD or Enterprise allowing mobility applications (enterprise-enabled mobility). However, enterprises need to devise a strategy for end user computing suitable to bring higher performance for their labour forces anywhere, at any time and on any mobile devices-mobile phones, Smartphone, Tablet, laptop or phablet. The present work is not necessarily in a fixed position and the staff needs a secure solution, not risks under the support of it”.

HOW MANY WEBSITES THE SERVER CAN CONTAIN?

Posted on August 2, 2018January 15, 2019 by admin

Surely you have heard about the concept of the server. But have you ever wonder that a server can contain how much Website? To give the correct answer to this question, then please consider the following factors to yourself to give the correct answer.

Website design

First you need to design platforms and software to your Website. Your website can be designed as a static HTML page or a Web page. Usually static Web sites often include many simple Website has less information. So these Website characteristics of these often constitute small size due to simple design and less functional.

Contrasts, dynamic HTML websites often have very large size contains a lot of content, functionality and very complex information is created from content management system CMS.

On a server that can accommodate about 250 to 500 because they are simple static Website and there is not much volume. For dynamic Websites, the number of which a server can contain varies from 150 to 250. These metrics can completely change according to the Customize or extend the software is placed on the Website.

Bandwidth

Bandwidth is the maximum possible speed of data transmission in 1 second. Or it is a metric used to describe the amount of data including Upload and Download between the websites or number of users in a unit time. So with the number of large bandwidth Website, they will consume more CPU and RAM on the server. It will affect the number of websites to be in a server.

Other factors

Most of the applications and software used in the server have to be customized to meet your needs. The add-on, control panel or any third software you want to install the add on the server will also consume a significant amount of resources on the server.

Therefore, a server can contain more or less the Website also depends on how much additional software installation support. When you install as many applications, your server must spend a lot more resources and your server contains less than Website.

Email hosting services

When you use the Email Hosting services for your server, the number of resources on the server will also increasingly spend more based on the amount of email each day. So on a server, you should only use 25 GB of the drive to contain as well as Email should only provide about 250 Email accounts only.

The conclusion

Everything above is the key factors affecting the work a server can contain how much Website. Now surely you’ve given are the answer for yourself. Hope the article the article helped you make the answer choice for math a server can contain how many Website.

SHARING DOCUMENTS VIA CLOUD COMPUTING

Posted on August 2, 2018 by admin

Cloud computing is a new technology, not one of us knows how to use this technology. Here is a way to share data across cloud services. Cloud computing also known as virtual servers, computing is computing model using computer technology and development based on the Internet. In this computing model, all likely related to information technology are offered in the form of “service”, allowing the user to access the services from a supplier somewhere “in the cloud” that do not need to have the knowledge technology, experience, nor need attention to the infrastructure that serves it.

Click to share files across the service cloud

In today’s digital age, it is hard not to be able to store and share data, information, pictures. We can save your documents on Dropbox, a few songs, favorite movies on Amazon’s digital warehouse or your photo albums on Picasa.

Imagine if we can merge those services together, or at least have, a portal provided allows us to have access to the necessary files. Otixo is one of the free software that can help you do this. We can easily use this software in 4 steps:

-Step 1: Create an account Otixo. This is completely free software, so it does not require too much information about users.

-Step 2: Adding cloud services your first and then the other services. The different services it requires the various security measures but most are fairly simple.

-Step 3: To add cloud services complement (this is the difference when we use software Otixo), click the plus icon in the upper left, next to “My Cloud sevices “. In addition, the software also allows to connect multiple FTP server if necessary.

Add the service Cloud computing into your account

-Step 4: Once you have completed the above steps, meaning that the service is connected and active, we can easily check your files and move them from the service to other services (depending on the storage limits of the service). All what we need to do is right click on the file; there will be a lot of options are displayed.

For those who use cloud-computing teTRchnology in a professional manner, the software really is a professional assistant to help them gain maximum saving time. Hopefully Otixo will upgrade and add more services in the future.

Server virtualization is a technology that is thoroughly exploits increasing ability to work of the hardware in a host system. It acts as an intermediate floor between computer hardware and system software running on it. The idea of server virtualization technology is from a single physical machine can form multiple independent virtual machines. Virtualization allows creating multiple virtual machines on one physical server, each virtual machine also allocated hardware resources such as CPU, Ram, including the real network cards, hard drives, other resources, and the operating system. When running the application, the user will not realize that applications running on virtual hardware layer.