AWS Summit Chicago – 2018

AWS Summit Chicago- 2018

Event Details: The AWS Summit is a free event designed to bring together the cloud computing community to connect, collaborate, and learn about AWS. Learn by attending technical sessions, workshops, chalk talks, and participating in team challenges. Visit The Expo to speak with leading cloud technology providers and consultants who can help you get the most out of the AWS products, services, and solutions in the cloud.

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About Idexcel: Idexcel is a Professional Services and Technology Solutions provider specializing in Cloud Services, Application Modernization, and Data Analytics. Idexcel is proud that for more than 20 years it has provided services that implement complex technologies that are innovative, agile and successful and have provided our customers with lasting value.

Rick Filippo – (Regional Cloud Sales Executive at Idexcel) will be attending this event. For further queries, please write to rick.filippo@idexcel.com

Security Advantages of Cloud-Based Systems for Media and Entertainment Businesses

Security Advantages of Cloud-Based Systems for Media and Entertainment Businesses

Cloud-based systems have emerged as a viable platform to address the security issues of both media and entertainment businesses across the globe. Of course, the boom in the sector has paved the way for a plethora of opportunities for the entertainment industry, but, on the flip side, the amounts of risk involved has also increased tremendously.

The incidents of cybercrime have affected many of the top media service providers due to this reason, smaller businesses remain at risk of possible intellectual property rights violations. However, the cloud-based storage systems offer a practical algorithm to process and manage a vast workflow securely.

In addition to the numerous advantages such as ease of access and secure storage of data, security features of cloud-based solutions make the Cloud one of the best possible options for the media and entertainment businesses.

Let’s have a look at some of the most prominent security advantages of cloud-based systems.

Data Encryption
Robust data encryptions within cloud-based security systems have substantially reduced the possibilities of data breaches; these solutions offer a layered approach that consists of security intelligence, key management, and secure access controls. Cloud-based systems give the required freedom to companies to choose their users who will be accessing the data that has been outsourced to the cloud. This way, any attempts to tamper with personal or profession data can be thwarted.

Most companies face the threat of internal data theft by their employees, and stronger access controls can nip these threats in the bud. The multi-layered security features weed out the possibilities of a breach of data to a great extent. Data, irrespective of its type, needs to be protected at all times. Any violations can be hazardous to the goodwill and the functioning of an enterprise.

Avoid DDoS Attacks
Distributed Denial of Service (DDoS) attacks can result in hefty losses for entertainment companies. Hackers target the website by directing traffic from several sources to the end website, and, as a result, the system gets overwhelmed. These DDoS attacks may tarnish the image of the company, as clients begin to lose trust.

Cloud-based security systems guard this imminent threat with real-time scanning of potential risks; this function is further used as a warning tool for various systems which allows for the tracking of incoming threats and attacks instantly – this enables website admins to divert the traffic to several different locations.

Regulatory Compliance
Cloud computing security solutions usually provide reliable SOC1 and SOC2 certifications to the entertainment businesses. These certifications ensure periodic scrutiny of data and all types of possible glitches. Cloud-based solutions manage the requisite infrastructure for regulatory compliance and the protection of data. Detailed AWS reports about management of security controls ensure all organizations focus on their business operations, without worrying about compliance requirements.

Secure Storage
Traditional storage solutions don’t provide any protection against possible disasters that have the potential to erase required data from devices. Cloud computing allows the users to store their data safely, thereby negating any mishaps that may affect the equipment.

Cloud storage solutions offer private, public, and hybrid solutions which the businesses may choose as per their requirements. The hybrid cloud storage systems allow the users to keep their data secure in the most effective manner.

Patch Management
The vulnerabilities of a website are often exploited by hackers to breach the security system of a company. Cloud service providers keep their sites up to date; further on, they ensure that no vulnerabilities exist. Moreover, cloud solutions offer real-time assistance to clients by providing companies with the option to scale cloud solutions during high traffic situations. This flexibility allows companies to reduce their cost of services substantially.

These large number of security features are quite flexible, agile, and affordable. Enhanced security features offer sufficient protection to the private and financial data of both media and entertainment companies and help to thwart data and intellectual property breaches. In this era of digitalization, where cybercrime has emerged as a norm, cloud-based solutions seem to be the best alternative to traditional security systems.

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How will Artificial Intelligence Change the Evolution of Technology?

How will Artificial Intelligence Change the Evolution of Technology?

Artificial Intelligence and robotics have become the overnight sensations every company wants to lay their hands. With decades of building and scores of changes within their implementation, the two have almost come to be used interchangeably. As the application of Artificial Intelligence takes precedence over manual intervention, technology has become the thing of the future.

With repetitive tasks no longer seeing the light of day, Artificial Intelligence and Robotics are giving way to adaptive technology and intelligent applications. As Artificial Intelligence takes over the usual mundane chores, it will soon surpass human knowledge and make decisions we were never capable. In the coming years, this will result in paradigm shifts, which will only translate into better success rates for companies making use of these smart, evolving technologies.

With this said and done, it is difficult to overlook the fact that Microsoft and Oracle have already progressed on the path of smarter robotics, which has led to the development of cognitive, connected factories. At the same time, Artificial Intelligence-infused robots will aim at transforming industries with their innovative level of intelligence; this will further lead to enhanced areas of production in the fields of safety, service, transportation, and even habitation.

Artificial Intelligence and robotics have come a long way, and they are the promise towards ushering in a better tomorrow. Broadly speaking, these are technologies which work well within the domains of law enforcement, rescue operations, and many other fields. Slowly and steadily, these technologies will become an integral part of our lives, and become inseparable from our day to day jobs. What is yet to be seen is how these technologies can reduce the interdependency between humans and machines, and recreate the evolution for a better tomorrow.

The Growth Spurts Within the Artificial Intelligence Industry

The next four years will see a massive shift in the growth of Artificial Intelligence and robotics. Artificial Intelligence revenues are expected to grow by 20%, in 5 years (2015-2020). In the year 2015, the Artificial Intelligence industry was staggering at a revenue model of $5 billion. However, by 2020, this industry is likely to operate at a revenue model of $12.5 billion.

With the evolution of the Artificial Intelligence industry, software companies are rapidly taking up the evolution mantle and charging ahead at full throttle. This way, they can push the boundaries of automation and enhance the realms of social media. As the Artificial Intelligence industry continues to push forward, very soon Artificial Intelligence will begin powering automation in the automotive sector, thereby creating scores of jobs in business operations.

As an example, virtual assistants and chat-bots have already become widespread. Smart robots are slowly and steadily taking over the advice columns in the fields of finance, insurance, media, legal, and journalism; this has lead to a revolutionary change in the way information is processed and passed on, thereby plugging multiple gaps within the information processing cycles. Some other benefits within the Artificial Intelligence industry include, but are not limited to, progressing standalone R&D projects, reducing time to market products and services, optimizing supply chain networks, etc. While these are an ongoing series of services, they are going to be enhanced manifold in the many years to come.

Are We Going to be Replaced by Machines?

Hollywood movies have already projected the future of the human race in many films. With the launch of Artificial Intelligence and robotics, there is an excellent chance that all manual jobs will eventually be handled by robots and automation, which will lead to a massive shift in the unemployment cycle. Despite the fear of losing jobs, it is necessary to note that Artificial Intelligence will be aimed at reducing tasks, and not jobs.

At the same time, the fear of replacement is justified. Simply stated, technological unemployment and displacement is a result of technological progress. As companies begin to see the benefits of Artificial Intelligence and robotics within their growing operations, these technologies are rapidly becoming popular in the market. All unrest is put to ease when one concentrates on the fact that Artificial Intelligence as a technology is being used in niche industries, as development within this domain is yet to be funded and finalized. Despite the ongoing concerns, it’s important to note that everything is not black and white, and the grey areas are what needs to be seen as time progresses.

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Future of Business Intelligence in the Cloud

Future of Business Intelligence in the Cloud
In the wake of economic slowdown, organizations are aiming to make the most of their existing resources—to make every input a viable source. In such a strategy, modern technologies such as Cloud Services and Business Intelligence (BI) are regarded to be prerequisite platforms. Such technologies not only prepare companies to become efficient but also make them ready to maintain a competitive stance. BI and cloud work in sync to form hypotheses and predictions to be prepared for market competition. Researchers believe that the future of BI will be very bright when it is used on existing cloud platforms; it may also exhibit computing advantages based on daily data accumulating of large volumes.

Cloud-based BI is different from traditional BI in the sense that it implements expensive and complicated software on-site; it is accessible anywhere on any device in a so-called software-as-a-service model. Cloud BI doesn’t require additional hardware or software nor a strict restriction on space. The system can also auto-select storage according to current computing needs – this elastic scaling and ever-ready availability are the perks that make cloud-based BI so powerful.

BI involves making better decisions through the use of people, data, processes, and related tools and methodologies. Recently, BI has come to rely on near real-time operational data of systems such as ERPs, CRMs, supply chains, and so on. Operational BI is often tied to performance management and business process management with natural undertones of maintaining data quality, consistency, and the monitoring of these two. BI prompts intelligent reports based on a market analysis which may also involve geography based investment decision for MNCs or buying behavior of consumers for producers.

The ability to operate on BI involves intensive data management and computationally expensive data analysis. With the help of the cloud, BI bypasses these hurdles without impacting the quality of the processes negatively. Instead, it improves efficiency, reduces error, and expenditure. The analytics performed on the cloud platform will affect BI in the following ways:

• Accelerating the adoption of BI services due to rising lucrative intents involved.

• Easier evaluation of the data and analytics through real-time analysis at lightning-fast speed.

• Increased short-term ad-hoc analysis through avoiding data marts spawning. The data mart can be created whenever needed, and after the job, it can be eliminated from a cloud cluster without causing redundancy.

• BI will also make the process very flexible through avoidance of long-term business commitments. The companies will be autonomous in catering to the needs of data usage.

• Consideration of probable growth through ongoing analysis of data staged on an architecture functionally efficient, elastic and platform such as cloud.

BI in the cloud also has some benefits that might be instrumental in transforming its future, especially in its broad adoption. These benefits include:

• Fast, easy and inexpensive deployment resulting from non-requirement of infrastructural setup.

• No extra expenditure on hardware and software setup, which will inevitably result in low Total Cost of Ownership (TCO).

• Higher reliability will be extended as cloud computing can be used at reliable and secure locations for data storage against the threat of accidental data loss.

• Multi-tenancy environments where the resources could be better exploited to their optimum usage will result in cost reduction and higher customer reach.

• Free automated software upgrades and maintenance would attract wise brains in adopting the cloud for BI.

• Flexibility and scalability of the cloud needed are not just smart but also economical. Reduction in a waste of cloud space will help save both energy and money.

• Cloud types such as SaaS allow the consumers to pay for only what is used; this would result in the elimination of waste and reduced costs.

• Specific cloud solutions come with personalized needs for data handling. From large numbers of simultaneous users to a minimal amount of users, the consumer will indulge in fast and easy scalability.

• Cloud computing allows easy cross-location data sharing and remote data access even when they are deployed outside a company’s firewall.

With such astounding benefits, it seems convincing to agree with the researchers who proclaim a rapid growth of cloud-based business intelligence in the near future. As the world is progressing and advancing towards the betterment of the technology, it wouldn’t be entirely wrong to predict the improvement of current benefits of cloud-based BI. Cloud-based BI enhances efficiency and productivity of business intelligence. In the future, BI will be further assisted by web 3.0 technology, making its future even brighter.

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What is DevOps Consulting and Why Do You Need it?

What is DevOps Consulting and Why Do You Need it
DevOps is a complete software automation delivery process that allows software development and testing to work simultaneously at a given point in time. This software automation delivery process first started in Belgium in the year 2009.

What is DevOps all About?
In the earlier days, software development teams and IT teams found it difficult to work together, especially when it came to automating development processes. With the help of DevOps, the times have changed; both sides have become robust, allowing them to work in tandem with each other to ensure a smoother automation process.

DevOps is required to automate the processes of product development and delivery. The best part of using DevOps automation process is that it helps developers make changes in products during the development stages. It also works as a smart communication bridge between the developer and operational teams, allowing them to quickly identify any process gaps or errors, which can’t be fixed once the products are fully developed.

DevOps has been adopted by over 30% of the world’s top 2000 companies. The technical benefits of DevOps have been discussed extensively over the years. Faster development process cycle, a lower rate of failure and speedier time to market the product are some of the well-known benefits.

The overall influence of DevOps is not limited to the technical sphere of business; it is much more profound than that. DevOps helps in better employee engagement and results in high levels of job satisfaction.

Why You Need DevOps Consulting
Traditional software came with prominent differentiation between the development of software and its release details. It was the software team’s responsibility to develop the software, and IT team’s job to release the software post development.

Development of a new feature would often incur a lot of time, and naturally, the entire process would become a highly time-consuming job. Software development is a field where time is money; it was entirely necessary to come up with a smart solution that could make the entire procedure efficient and free of hassles.

Apart from such time-consuming processes, this method also breeds a culture where each team defends its interest. As an apparent result, this creates a dysfunctional relationship between the development and the operational teams, in turn leading to a generation of misunderstandings, communication problems, trust issues, and different types of collaboration problems.

The DevOps approach breaks down challenges by promoting a sense of ownership amongst all team members; this has resulted in the creation of a peaceful and satisfactory job environment for all teams involved.

The Crucial Benefits of Employing DevOps

Better Employee Engagement: It encourages a sense of ownership. Each developer is entirely responsible for their code base, from writing the first lines of code to testing and ensuring its reason. The developer is engaged throughout the development process, which leads to happier, satisfied, and well-motivated employees, which in turn has a very positive effect on the business as a whole. Such an approach provides a better learning scope for the employees.

Enhanced Efficiency: DevOps promotes complete transparency across the entire process of development. The responsibility of building high-quality code is entirely on the developers. Writing the code, testing it for bugs and adding it to the deployment pipeline is an end to end process, which is the developer’s prerogative and responsibility.

The automated testing suite forms an integral part of DevOps and plays a very crucial role. The results given by the test suite are made public across the entire team so that each member of the team can easily know whose code performance is low. Coupled with the right spirit, it helps to increase efficiency and encourages the organizations to strive for par excellence.

Enhanced Communication and Collaboration: Open communication and active collaboration form the basis of DevOps ideology. The developer’s team and ops team no longer work in silos. Team members communicate more openly and work in active collaboration with each other.

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Solidifying Cybersecurity with Big Data Analytics

Solidifying Cybersecurity with Big Data Analytics
The continuously growing IT infrastructure is not only providing numerous opportunities to businesses but is also opening the thresholds for raised cybercrime. The flow of data is everywhere on every device we use. This data, if not encrypted to safeguard from hackers, can bring about severe consequences.

The increasing reach of the IoT and computer machinery has made human lives much more comfortable than they were before. These devices use a flow of information to communicate and execute tasks. However, leak or misuse of such data can yield lucrative gains to hackers; this is one of the reasons why cybersecurity has emerged as one of the most important prerequisites to IT infrastructure. Scientists are continuously working towards strengthening the IT horizon so that they may become immune to external threats that cause a breach of information.

Companies have come across employing one of the most successful strategies such as Big data Analytics (BDA). Big Data Analytics comes in handy when it comes to tackling data threats; it involves an automated processing approach of examining vast and varied sets of data spreading across various servers on different computers. It hunts for patterns and trends of characteristic data and then analyzes for probable misfit that might cause a system disturbance. Organizations nowadays are also using BDA to explain and predict customer preference to attract more massive sales. BDA is two shots from one bullet— it can help reshape the framework of a business target, and it enables technicians to analyze, detect, and terminate probable cybercrime threats. The latter feat is achieved through minor reprogramming in the system software itself while keeping other operations intact.

Having said enough, let’s explore some of the primary ways through which BDA can help in boosting cybersecurity:

Identifying Unusual Behavior
Big data analytics helps analyze big chunks of data through an automated process of continuously analyzing the data, which, if given to a person, will take infinitely to examine with no guarantee of accuracy. Due to the vastness of data generated every second across the world, it becomes a time-consuming process for even machines if the data is bombarded. BDA takes on separate small bits of big data and analyzes the entire big dataset gradually, separating valid data from the threats; this not only makes the process less tedious but also decreases the chances of errors.

Cybersecurity experts often find it challenging to spot abnormalities accurately due to a varied spectrum of data. People often jump across different networks, and that makes manual data analysis very difficult. BDA distinguishes normal behavior from abnormal ones very quickly and proposes recommendations for the betterment of data flow. The more it indulges in complex data analysis, the better its structures become in tackling abnormalities. Through increased smart detection, it can quickly detect malware without any false alarms.

Tackling Malware Attacks
Cybersecurity is not ensured only through detection of malware—proper treatment of malware is also required for ensuring safety. Big data analytics can be customized to detect and respond to malware and other information threats automatically. At the hour of need, BDA can prevent an information breach through automatic cutting off the flow of information to the device that has supposedly originated the suspicious threat. It can additionally prompt automatic messages to devices that indulge in possible suspicious activities. DBA can also send a detailed report of suspicious activity to both the user and service provider. These quick actions ensure blocking of potential threats and security of confidential data.

Preparing Systems for the Future
Even tackling malware is not enough. Experts say it is better to prevent than to cure data breaches. With BDA’s smart analytics, engineers can formulate frameworks that can detect future disturbances and avoid them at their very emergence. For this purpose, BDA conducts network monitoring besides continuously analyzing the big data; it finds out probable threat cases and prepares systems to safeguard against them in advance.

Customer information is one of the main concerns of big companies and breaches may lead to severe consequences. The current leak of information from Facebook is the latest example of this sort. With the help of big data analytics systems can easily track and remove the sources of cybercrime.

The ever-growing information flow in the public domain will keep attracting hackers to steal or infect data; therefore, it is advisable that organizations employ big data analytics as it offers other benefits besides securing data systems from hackers.

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Serverless Computing in Amazon Web Services (AWS)

Serverless Computing in Amazon Web Services
Serverless computing is the talk of the town these days as different server modes are taking over technical architecture. As the name suggests, serverless architecture is all about enabling developers to write codes without having to bother about server configurations and platforms.

Serverless computing is mainly driven with a single aim: to assist developers in writing code, without incurring too many distractions regarding server configurations and different platform variations. Additionally, the user pays for the compute time consumed so that the idle time is deducted from the usage period. At the same time, code processing can easily be scaled during high load periods.

Today, a lot of companies begin to venture out into the world of serverless computing: AWS, Microsoft Azure, and Google Cloud have become the top names in the industry.

Does Serverless Mean “No Servers”?

Technically speaking, this is not a possibility. Serverless computing is a segment within the Cloud wherein applications are enabled to run in a stateless form within computing containers, which are further driven by an event triggered. One such service by AWS, Lambda, is designed to run snippets of the code which are directed at carrying out single, yet short tasks.

More often than not, these functions are self-contained blocks of code, which are independent and can be deployed and executed from any platform. Functionally, we would realize that in the absence of such facilities, the life of a developer would be very tedious and cumbersome. In an ideal world, where serverless facilities are not available, developers would have to set up a web server before uploading code.

In an alternate technical universe with AWS Lambda, the developer needs only to upload a piece of code which will then be run regularly. Further with the launch of the AWS Lambda, developers don’t need to worry about provision capacity, scaling resources, maintaining security patches, and facilitating updates to the underlying servers. As discussed above, the user is only charged for the compute time they consume.

Managing an Environment Where Serverless is the New Keyword

There are benefits worth noting in a serverless environment. Here’s a list which can help some users decide in favor of AWS Lambda:

Save Time and Ride the Wave with Efficiency: Companies like to save the time of their employees and bring about efficiency in their daily processes. A serverless environment facilitates the use of efficiency, as developers can produce apps without bothering about server configurations.

Function as a Service (FaaS): With the launch of the AWS Lambda, Amazon introduced a whole new level of architecture for different applications within the Cloud. With the use of AWS Lambda, developers can run any application without provisioning servers. All you need to do is upload the code; Lambda would perform the rest of the functionality.

The World of Nanoservices: The serverless environment paves the way for Nanoservices, which help to structure serverless computing applications. Through the use of nanoservices, serverless computing can assist immensely in auto-scaling and load balancing.

The Workload Decides the Scaling Experience: How does the idea of auto-scaling according to your workload sound? What if your application was enabled to scale up automatically? With AWS Lambda, all these features are no longer a myth, but actual reality. As the workload increases, a serverless environment will always allow auto-scaling for best results.

Third Parties Manage the Servers: What can be better than having third-party providers worry about providing server management services? No matter the situation, everything will be taken care of by the third-party service provider. Developers don’t have to worry about these things at the time of developing their applications.

Upload the code, and you are set to go: Bid farewell to complex server configurations and coding issues. Everything else will be taken care of by Lambda services. Such is the working of the serverless space, which benefits small, medium, and large-sized organizations.

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Securing Efficient Optimization through Multiple Cloud Applications Management

Securing Efficient Optimization through Multiple Cloud Applications Management
The recurring use of cloud applications combined with local systems is often required but results in numerous challenges that, if not properly tackled, can break down efficiency and productivity. Thus, businesses have started to implement hybrid application systems that allow for both manual and automated operations. Organizations use the cloud across various fields; therefore, the applications across cloud and offline infrastructure need to be adequately managed for smooth flow of information. Businesses must streamline strategies to face competition by overcoming the challenges as brought forth by multiple cloud applications. The need to operate various clouds opens the thresholds for smart cloud computing that acts upon a highly scalable and flexible environment, in addition to making the process cost effective and time efficient.

Organizations used to face more significant difficulties in earlier times but nowadays, through the adoption of an intelligent hybrid cloud, the work has become easier. But, using multiple applications can still erupt those difficulties. Additionally, many companies are unable to move all of their systems in one go, in such a case they will need to integrate on-premise systems in the interim. Since they have become reliant on existing cloud applications, it is not always easy to abolish current habits and embrace newer trends.

Moving Towards The Change
Managing active work on diverse systems is possible on the one hand but requires extensive efforts on the other hand. Data will still be reliable, but regarding time, consumption, and efficiency, it will not be suitable for a long run. Integrated cloud services, on the other hand, provide various benefits besides efficiency. If the applications accumulate in numbers, the increased workload should be tackled without hindering organizational pace. Different strategies that can be employed are:

Development of Streamline Systems: Avoid data duplication in multilayered application system to release the storage captured by these duplicate data systems and to decrease the time consumed.

Single-Cloud Strategy: Tackle commonality of data in different clouds to avoid the backlog creation of these unnecessary data and to keep the storage at a minimum.

These steps may though seem easy to imagine but are challenging in reality. Business will need to agree on compromising the benefits of utilizing multiple clouds to provide abilities such as an opt-out policy, integration, expansion, and flexibility for sudden influxes. Organizations must carefully note what is in favor of their business and what is not. The various applications cannot be abandoned entirely in one go but procedurally, one-by-one. Each application contains its advantage, and this advantage will not be possibly redeemable in other applications. The organizations must seek for a solution in which the benefits of various applications remain intact, while the unnecessary duplication is eliminated.

Enabling Optimized Efficiency
With the practical use of cloud applications, organizations must simplify the process of managing the integration of both cloud and on-premise systems together. Through the use of specific operations which are designed specifically for the purpose, such as NetSuite, Sage, Xero, QuickBooks, Amazon, Magento, eBay, Salesforce, and Freshdesk, etc. the integration can become a matter of minutes. These system solutions enable multiple applications to communicate together, along with a much faster data transfer rate between those applications. There is a provision for instant record transfer and also customizable intervals. As a result, the data is synced securely and efficiently without having to employ any human input, which automatically creates an errorless and cost-effective environment.

This integration helps systems run on global cloud platforms and enables them to access data from any desktop, tablet or mobile device. Real-time performance reports keep track of the latest data and help organizations make accurate and timely decisions. Businesses must ensure uptight security credential for the management solutions. Further, military-grade encryption must be sought to provide data security. Having secure and accessible data in disparate systems eliminates the chances of security risks and consistent errors.

Although optimizing efficiency opens the gates for numerous benefits, it also requires perfect execution, while eliminating corresponding barriers. With optimized efficiency, an organization can easily be prepared to advance its competitors. Through minimized human input, organizations improve their output and precision in addition to cutting staff cost and saving crucial hours.

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