Posted by Nick Graziano on Jul 26, 2018 12:54:00 PM
The adaptation dilemma
Numerous IT companies and DevOps groups have started on software adaptation tasks. The issue is which these tasks are using too extended and are making merchant lock-in. Companies are required to select a solitary cloud or bin merchant, that can contribute to unforeseen (and unexpected) price grows downward on the path.
Modernizing heritage variations of programs such as SAP, Siebel, Oracle, or PeopleSoft is difficult to work because these and their customized-built member had been often created as solitary, inviolable monoliths. The programs, like corresponding data, protection, and network adjustments, are firmly combined with the fundamental structure. This limited coupler means that it’s complicated to update compounds of a software independently. Even little changes stimulate a prolonged, slow simple regression-screening procedure that requires physically establishing up a nearby-manufacturing screening atmosphere, alongside with the correct data, layouts, etc. This procedure can choose months, still for the tiniest modifications.
Programs at bigger companies also choose to reside in silos. At a bank, for example, the shopping business unit might have heritage programs mounted on entirely various structure than a professional business unit moving the exact same applications. These particular substances the screening issue but also creates it complicated for IT to combine and enhance its structure budget for programs that provide the better combo of speeds, nimbleness, and price. Still, when software is implemented in cloud surroundings, CIOs are careful of vendor lock-in and the specter of unexpected, unplanned price increases.
Subsequently, controlling a varied collection of heritage solutions can be frustrating for the IT businesses team simply because the equipment presented to handle programs are often substructure-specified (e.g., Cloud Formation, VMware) or app-particular (e.g., SAP Landscaping Administration). The majority IT procedures groups are rapidly overloaded with the range and volume of resources they must learn, not to point out the test of controlling several vendor agreements, all with various prices, terms and conditions, and update agendas. Its no ponder that CIOs frequently say regarding “tool fatigue” and the tough consolidation work it provides to incorporate all these types of point goods collectively into an adhesive application distribution procedure.
To conquer these problems, companies must alter the ways they believe about modernizing heritage applications. These 5 suggestions that might assist.
1. Split down the monolith
Produce a product of exactly what the application seems like—comprehensively. System any person section of this application: the networking adjustments, the storing adjustments, the servers, and the company they can utilize, and just how the application might release on the computers. Model all of the network in between the specific elements. Deconstruct that product into its various building obstructs and adjustments. Splitting down the monolith into its specific performing parts might make it convenient to make a virtualized application surroundings utilizing hardware such as pots. While these techniques have been attempted earlier, developments with computer software-defined structure make this approach feasible to apply at scale.
2. Unshackle applications from the structure
Business applications should be abstracted and divided from any addiction on fundamental infrastructure. Resources of data and the networking and protection adjustments, as well as information, could all be abstracted. By abstracting the functionality of an application into elements which could operate everywhere, it’s feasible to then go the software to various infrastructure permutations, with no altering a solitary line of code. Software-described infrastructure enables you to write the software from these parts, thus obtaining total mobility. It’s only by using full mobility in between cloud conditions, box tools, storage space choices, and computers that IT companies will split vendor lock-in and build the freedom needed to push their applications to suppliers that provide the best mix of cost, efficiency, dependability, and services.

3. Generate framework to decrease costs
An organization’s whole application lifecycle is prepared up of numerous various application environments—different variations with various implementation tastes. The moment a business distinguishes a heritage application into its important parts, it can keep a directory that will make it effortless to make an almost limitless quantity of new variations of the application. Utilizing this strategy, programmers, test designers, and DevOps organizations can choose and select whatever mixtures of parts they want, or rapidly clone presently complicated application environments for screening or implementation. This cloning procedure ought to take just moments because the directory has all the essential information needed. This additionally significantly speeds up consolidation screening, efficiency testing, planning, and periodic event processes.
4. Make protection into applications
Application protection must not be tacked on the following implementation. Performing so decreases downward steady distribution processes such as DevOps and produces rubbing in between the DevOps and the protection teams. Alternatively, choose protection a crucial part of your general application environment and deal with it the exact same as any other part, by making it into the application after the initiate. In this method, companies can shield heritage applications the immediate they are implemented, irrespective of the infrastructure utilized.
5. Incorporate firmly with DevOps
Updating venture applications are much convenient once you bring a point-and-click, push-switch strategy by using a modern UI, as well as seeking tight consolidation with constant implementation equipment and procedures such as DevOps.
In inclusion, business applications must be on-demand, indicating the provisioning of newer circumstances must be hands-free and completely automatic. This can be achieved by combining virtualized application environments with instrumentation equipment that most organizations are previously utilizing to arrangement infrastructure. The crucial improvement being recommended is exclusively linking a directory of transportable, virtualized application parts direct with the instrumentation equipment, such as the provisioning of storage space options that also require to be fully computerized. This is created feasible by the reality that modern applications won’t have any dependencies on the specified data vendors on what they depend.
Standard equals updated
A standard thought of applications must be the core of your adaptation procedure. It enables companies to operate and check applications in a virtualized environment and accomplish three issues. First, companies can now handle applications at a person component level. 2nd, the data on which those applications depend becomes just an additional building block.
Before modernization, data was just an additional part of the massive puzzle. Now, modern applications could be infrastructure-agnatical, and they could utilize infrastructure sources no matter where they are situated or how numerous clouds they use.
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Evolution of Sharepoint

Posted by Nick Graziano on Jul 25, 2018 12:00:00 AM
A story of how Microsoft’s web-based collaborative software came to be

Developed by Microsoft, SharePoint is an online collaboration platform that businesses can integrate with Microsoft Office. The first version of the software was launched back in 2001 and many iterations have been released since then by the technology giant. SharePoint is usually considered to be a document storage and management system, however, this is a highly versatile software that can be configured substantially by enterprise based on their unique needs.

It has been more than 17 years since the first version of SharePoint was launched. The product has gone through a transformation through this period, let's take a look back at how it all started and what stages the software went through before taking its current form.

All SharePoint Versions

* SharePoint Portal Server 2001/SharePoint Team Services for Collaboration
* Windows SharePoint Services & Office SharePoint Portal Server 2003
* Windows SharePoint Services & Microsoft Office SharePoint Server 2007
* SharePoint Foundation & Microsoft SharePoint Server 2010
* SharePoint 2013 On-Premises & SharePoint Online
* SharePoint 2016 On-Premises
* SharePoint 2019 - To be released in mid-2018.

SharePoint 2001 – 2003

SharePoint Portal Server was released by Microsoft in 2001. Fundamentally, it was a document management platform and didn’t allow for much interaction. Setting up the software was quite straightforward. End clients would detail their needs and communicate them to the business’s IT department who then characterized all the features and services required. Once the requirements were finalized IT personnel worked inside SharePoint to analyze issues and find solutions. It wasn’t easy to add new features. In late 2003, under the more extensive Office 2003 umbrella, Microsoft launched Windows SharePoint Server as a component of Windows Server 2003. It had an enhanced UI, better personalization, and a collaboration suite.

SharePoint 2007 – 2010

At the beginning of 2007, archiving and document management and storage were primary enterprise needs along with web content. SharePoint 2007 was the version that defined the path of success for the software and paved the way for modern version as we see it today. This was when SharePoint moved to be a collaboration centered platform, permitting end clients more to interact. End clients were given the alternative to explore the newly released platform to make group destinations and oversee work processes. It was SharePoint 2007 that initially suited a completely practical and integrated document management and team collaboration system.

Following broad improvement, client response and beta testing, SharePoint 2010 furnished upgraded features such as better coordination with other Office applications. It engaged staff at all levels by enabling advanced level features to enhance and extend the connectivity of enterprise. It likewise mechanized the work process, which positively affected business productivity.

SharePoint 2013

The newer iteration brought new capabilities of Newsfeed, Community sites, sharing, OneNote integration and ability to customize the appearance along with the plethora of other features and enhancements. SharePoint 2013's defining features were the ability to drag and drop the documents into libraries from your hard drive partitions, quick edit, and synchronization of libraries. These were the changes that were very well received by the clients globally and the product was highly appreciated.

SharePoint 2016

Improving on an already amazing product wasn't easy but Microsoft was able to hit a home run once again. The software giant brought mobile apps to life, enabled quicker site creation, added compliance center, enhanced sharing capabilities within the software, and added support for files up to 10 GB which was a relief for professionals working in design and architecture.

The new version also had previews for images and videos, search, app launcher, and accessibility features. SharePoint 2016 is the most complete version of any collaboration software on the market today.

Microsoft has announced that the company will be releasing SharePoint 2019 on premises in mid-2018. That means the latest iteration of the software is just around the corner. We can hope that it maintains the tradition of bringing the most demanded features and user-friendly enhancements.
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How to Develop an Internet of Things Strategy -The Future of IoT Technology

Posted by Nick Graziano on Jul 18, 2018 12:00:00 AM

What is IoT (Internet of Things)?
Before developing the internet of things strategy, we need to know that what actually the internet of things is? The answer is simple, IoT is the network of the physically existing objects or devices, automobiles, building etc., and they are embedded with the electronics, sensors or the software chips that make these objects able to collect and exchange the data. IoT allows the objects to remotely sense or control the infrastructure of the existing network. IoT applications are found in many industries today because of the number of qualities like it work faster and smarter; it owns powerful triggers and remote access over objects.
Developing an Internet of things strategy:
Our business infrastructure is transformed from different silos to the internet connected devices, and the devices connected to the internet are increasing day by day. From the explosion of information, executives want to take much advantage of the growing number of connected devices. The Internet of Things IoT might present the best and biggest opportunity for the enterprises since the internet age. One research shows that there will be almost 20 to 40 billion devices connected to the internet by 2020, and these providers revenue increased to the 300 billion dollars. That device obviously includes computers, Mac, tablets, cell phone and TV devices. The remaining will be other kinds of “things” actuators and sensors. It may also include newly developed and intelligent devices that monitor, analyze, optimize and control our world as well.
The researchers are working on IoT for the last many years but now it is just hitting its top point. The transformative shift for our economy and finance is presented by the Internet of things, same as the introduction of PC. IoT has opened a wide range of new business opportunities for various businessman and entrepreneurs.
IoT strategies fall into 3 broad strategies, and each reflects a specific enterprise. These 3 strategies are:
Enablers: enablers are the companies that are technology-oriented, like Google, IBM, Cisco and Intel that develop and implement these technologies.
Engagers: Engagers are the designers and creators that integrate and deliver IoT services, like Apple, Home kit, Tags, Sensory etc. to the customers.
Enhancers: They plan their personal value-added services over the top of that services that are provided by Engagers, and that are unique to the IoT such as Progressive Snapshot.
Now here we discuss the top and best strategies to develop the internet of things.
Set Objectives and Business case:
First of all, we have to decide the objectives of our business. Define your business goals and setups. Look at that objects where the opportunities can be built by connecting devices and objects. You also have to take care about how machine data benefits us from the different sources. Also determined that how the devices and different sensors can shrink the different expenses regarding operating to improve working and create a timely decision. High cost operating telecoms have to find the way to reduce the expenses of the logistics and other bills.
Internet of things is beneficial for all type of industries like manufacturing, insurance utilities, healthcare, transport, and much more. IoT has many financial benefits like new revenue generation from the new products, increased the utilization of different resources and reduce the different costs. Its operating benefits include remote management of asset and reduce downtime, auto replenished inventory when the stock is going out, and also preserve the unattended assets because of asset automation, and the most important customer benefits include the prediction of customer requirements, faster response to the query and requirements and best customer experiences as well.
Right and Best Platform Selection and Solutions Providers:
The selection of the right platform is very necessary for the best results. Running multiple systems with different solutions creates the complexity. Many experts recommend partnering with the best IoT platform that may offer you the complete framework of all of your requirements.
If you are choosing Internet of things for the model of your business, choose the right partner. A wide range of (mid-size to large) enterprise software vendors are entered in this market in last year’s, and they are offering the products of IoT, but some of them are offering the complete package to solve the objectives of IoT. But, if you don’t have a complete platform, you might have to depend on the different partners to build and market IoT services, and its main disadvantage is that it will increase the cost and complexity of the integration of the system as well. The different Internet of things solution presents the functional products for the sake of monitoring of address, developing the application, billing etc. when you are choosing the platform of IoT focus on API to facilitate the integration with the third-party system and robust tools to make application development quick.
Integration and Test:
The internet of things is all about integration that includes sensors, edge devices, gateways and enterprise system etc. The main challenge is to integrate all of the components of IoT in the one system and that is the promise of applications of IoT. Due to the standards of communication and diverse protocols, unlocking the potential of intelligent things is very difficult.
The application of the Internet of things needs a lot of time and resources to start from scratch, but the architecture of IoT with multiple API can simplify the task among the heterogeneous instances. API is very important for the innovation because they make developers able to build the applications quickly. Many companies can take advantages of this architecture of IoT because it spans a great range of vertical marketplaces.
Internet of things core asset is a sensor data. It is really a challenge when those sensors generate a large amount of data, analyze it and derive the real-time insights of that data. As the number of devices and the devices types might change in the future so you have to prepare your business to handle the variety of data and magnitude.
The complicated and complex data is needed to transform the volume of data in the business intelligence from the functional point of view. It is very critical to unlocking the strong data analytics for daily decisions regarding the business. To shape the huge and large volume of unorganized and unstructured data, the analytics module or Hadoop are considered. This data is generated from the diverse sources of data for the agile environment of business. Moreover, it is very complicated to use IoT platform for a huge amount of data against data-driven business.
Managing and Maintaining of Remote Assets:
You don’t have to worry about the big data while managing your remote assets, because data mobility and clouds are now integrated into your architecture of internet of things. Now you can control your assets by receiving the notifications and other alerts from the mobile apps in case of deviation of connected devices.
For example, you can get the pre-alerts as the manager of the tower may receive the real-time updates regarding the fuel status of the generator. Same like that, the built-in sensors act as a connectivity hub to connect the environment. However, the internets of things solutions are more valuable with they are integrated into mobile apps also.
The Future of the Internet of Things:
The devices on the internet are growing day by day. Now, it is not about the laptops, tablets, cell phones or other desktop computers but, it is about a multitude of the internet connected devices. Our daily used devices like the toaster, washing machine, robotic vacuum cleaners, many toys etc are also becoming very smart. The science is not fulfilling its fiction stories and start showing us the miracles of science where the devices are becoming as smart and easier to operate as well. The customers of that products are loving these inventions and crazy about them. We have now a new term for the devices that are connected to the internet as the Internet of things.
The Future of IoT:
The future of IoT is very crazy and will be full of new inventions, experts make many predictions about the future of the internet of things and here we discuss some of these.
Number of connected devices to the internet in 2020:
According to the predictions of the experts, it is estimated that there shall be almost 20-30 billion devices that are connected to the internet in 2020. According to the research, there were almost 5 million devices that are connected to the internet in 2015, and in 2016 this figure increase to 3.9 billion that means the figure went in billions from millions in a single year. What a change it is??
More people and cities will become smart:
There are not only the consumers who are using the internet of things devices. The cities, companies or individuals always try to become more smart and efficient in every manner and save time and money. All people have started adopting smart technologies in their daily lives. Cities will be also able to remotely manage and collect the data by means of visitor kiosks etc. The individuals have involved the new technology in daily life like the washing machine or robotic vacuum to make their lives easy and comfortable.
Artificial Intelligence will really become a thing:
Your household devices like coffee makers, lighting systems, thermostats etc all collect the data from your habits and way of usage. The voice controlled devices used to store data in the cloud after each recording, and all the data that is collected is for the purpose to facilitate the user and that is called ML, machine learning. ML is the type of learning in which machine learns without having a single line of code or program. These types of computers are programmed in such a way that they learned the received data. Now, this collection of data help the machine to learn about your preferences and then adjust it.
More secure and smarter routers:
Since these devices are inside the home, and the security systems are not installed in them, so there is a chance of attacks. As the craze of the IoT is increased in the market, many manufacturers are working to quickly launch their product in the market, and that’s why in some cases security can become the second priority.
The routers are the internet entry point in any house, and because the connected devices are not protected by themselves but the router has the ability to provide security and avoiding the attacks. Today’s normal routers just provide the password and firewalls protections as well as the ability to configure on specified devices in our network. A router doesn’t come with the installed security software and that means that malware can still attack.
One way to avoid these attacks is the Norton core router, it is the first high performance and secure router. It is built to prevent the attacks and protect the connected homes or devices. This router is available at some places as pre-order.
Building and Home Automation:
Internet of things will offer the wide range of innovative IoT technologies that includes the monitoring and control of the intelligent homes and buildings. It helps to enhance the security and reduces the different costs like energy and maintenance costs. By using IoT, you can access and control light and temperature. It also offers the optimization of energy and maintenance costs.
IoT Applications in Business:
Internet of things application will be much involved in the business in the future. Those who all use IoT solutions are gaining many advantages from the technologies. Better health, better workforce productivity, and service delivery are the three main benefits of the deployment of solutions of IoT.
On the other hand, IoT uses the new and updated technologies to provide the business in the industrial area. It provides the real opportunities to increase the revenues and lower the costs as well. Internet of things provides the efficient use of energy that includes data insights because smart machines are more consistent and accurate in terms of communicating data. It may also offer the visibility of the entire chain. If it is correctly implemented, it provides the exact knowledge to the manufacturers about the product and demand of customer and it leads to the efficiency and quality control.
IoT applications in Healthcare:
IoT applications will be implemented in the healthcare department to prevent various ailments and provide on-time treatments to the patients. Remote and real-time monitoring of patient means that fewer visits to the hospitals and doctors. Its major benefits are that it will help to detect the diseases in the early stages to that the treatment will be given on time. The outputs/reports are data-driven and they will be more accurate. We can expect the few errors or misdiagnoses and this leads in the reduction of resources, money and time, and the efficient and best treatment will be provided to the patient.
So what does the IoT hold? We will continue growing, we are still in the early stages but we will see the societies and business go forward just by connecting things. This leads to the quality of life and sensor technology will play the major role in all this. The Bernard Marr said that IoT devices aren’t so much about the smart devices (tablets, phones, and pc) but the sensors. Sensors can be attached to anything to sense, record and send data back to the cloud. This will allow the business to improve by collecting specific feedbacks.

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Posted by Nick Graziano on Jul 12, 2018 12:00:00 PM
The digital world is moving on to data lakes and they are being given preference over data warehouses. Having said that, it should be noted that the data lake and data warehouse may exhibit similarities but they are fundamentally different in terms of how data is stored.

A data lake can be defined as a massive tank or repository of raw and unstructured data while a data warehouse, more often than not, stores meaningful and structured data that's used for making business management decisions. For data warehouse to work, you first find the specific use of data and purpose it accordingly before storing. On the other hand, in Data Lake you can simply dump all the data and only organize and structure it at the time of retrieval.

There are some fundamental and strategical differences between both technologies including:

Processing Power

Before information can be stacked into an information distribution center or data warehouse, it should first be given some shape and structure. This process of organizing and structuring data is known as schema on write.

On the other hand, a data lake stores all types of data in its crude shape. When one needs to utilize the stored data, they, at that point, organize and structure the required data. This is called schema on reading.


One of the primary highlights of big data advancements is the cost-effectiveness of storing large amounts of digital data. When you are looking to simply store data in its raw form, it tends to be much more economical as compared to when you are bound by the prerequisite of shaping and structuring it. This happens because data storage technology usually depends on open source software where businesses don't have to pay licensing fee and they get community support for free as well. Moreover, open source software is often designed to be run on commodity hardware enabling businesses to cut down hardware costs as well.

Data warehouse storage can get very expensive real quick, particularly if the volume of information is huge. Contrastingly, an information lake is intended for minimal cost storage.

Data Type

On the data warehouse, you have another bottleneck to worry about. It doesn't store data that hasn't been purposed and structured adequately. This means when you are looking to simply store raw data you are out of luck because you'll either have to put in the effort of unnecessarily structuring data or investing in a solution that can store data as is.

In comparison, Data Lake doesn't have any such issues. It doesn't care if your data is structured, half structured or entirely unstructured. You can use it to store data regardless.


From a technical standpoint, data warehouses have a fixed structure and configuration which can be changed but not without putting in a lot of time and effort. In contrast, Data Lake is quite agile and can be structured or restructured in a multitude of ways.

This gives developers and data personnel the ability to simply access the data and configure it as necessary.


This is one front where data warehouses offer a more mature solution since they have been around for quite a while. That doesn't mean data lakes are insecure but, being a new technology the security solutions have not had enough time to evolve and enhance as much as those of its counterparts.
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How to Implement Artificial Intelligence (AI) and Machine Learning (ML) Into Your Application

Posted by Nick Graziano on Jul 9, 2018 3:20:44 PM


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Artificial Intelligence (AI) vs. Machine Learning (ML) vs. & Deep Learning (DL): What’s the difference?

Posted by Nick Graziano on Jul 9, 2018 2:54:08 PM


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