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.

Also Read

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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.

Also Read

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AWS Summit New York- 2018

AWS New York Summit
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 our cloud technology providers and consultants who can help you get the most out of the AWS products, services, and solutions in the cloud. Stop by the AWS Booth to chat with AWS experts and get answers to your most technical questions.

[Know more about the Conference]

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.

Anand Allolankandy – (Sr. Director Technical Sales & Delivery at Idexcel) will be attending this event. For further queries, please write to anand@idexcel.com

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.

Also Read

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How Artificial Intelligence Transforming Finance Industry

How Artificial  Intelligence Transforming Finance Industry
Artificial Intelligence (AI) has emerged as one of the most powerful integrated infrastructures, proving its application in every branch of human need—be it gadgets, education, healthcare, or even finance. After the Great Depression, state governments interfered in the financial industry with both public and private sectors working together. Jointly experts have kept their focus on maintaining and propagating economic wellbeing of the nation. The same trends continue today with the aid of Artificial Intelligence (AI). AI and machine learning have unfolded potential in the finance sector in various areas such as customer engagement, cybersecurity, and business operations.

Integrating AI into the financial sector enables firms to make better decisions vis-à-vis dynamic market conditions. Numerous banking procedures have been minimized, which has rendered the banks and its customers’ ease of use. These are the further ways in which AI is revolutionizing the financial sector:

Big Data Management
The likes of Big data Analytics and other such AI based strategies have helped the finance sector in numerous ways. Most important of those is the workload reduced through automated data analysis, along with keeping the systems secure. Assisted with machine learning the systems perform with even better accuracy and efficiency.

Promoting Customer Engagement
Through AI it has become possible to analyze and predict customer behaviors. With the use of this information, banks work towards bettering their relationship with customers. Automated and reprogrammed messaging services greet customers on special occasions like birthdays or holidays. These gestures boost familial engagement in the customers, and they engage their banking more frequently.

Decision Making
Financial ups and downs are beyond recognition of human minds; however, AI with the use of algorithms can automatically prompt better decisions. These decisions although at times may not solve the problem altogether can provide essential ideas to banking experts for fighting a crisis. Unlike humans, AI doesn’t base its decision-making process on assumptions. Through machine learning, AI renders more independent decisions which often results in raised financial growth and preparation for the future.

Detecting and Minimizing Frauds
The finance sector is one of the most targeted areas for hackers due to its liquidity. In other industries, hackers breach information for money; in the finance sector, the information itself is money. Therefore, safeguarding the banking systems against possible threats has become one of the main concerns of the finance sector. AI employs smart sensing that filters normal behaviors from anomalies; it can detect suspicious activity and raise alarms to prevent any mishap.

Extending Digital Support
The finance sector involves billions of transactions per day across the globe. If transaction processes are not simplified, the industry will lag far behind the pace of what’s needed. Through AI, the finance sector can prompt automated messaging, emailing, etc. It reduces human intervention, renders greater transparency, and increases the efficiency of task time. Some banks have opted for only digital banking and have succeeded at large scale.

Advanced Identification Systems
Another extraordinary feat achieved by AI is in the area of customer and employee identification. From chip cards to biometric systems, AI has progressed immensely. Employees can log in with their fingerprints or even facial recognition systems. These facilities eliminate fraudulent logins and also keep meticulous records of their ins and outs, thereby enhancing security measures.

Artificial Intelligence (AI) is revolutionizing the banking industry by transforming the very face of routine operations. From security to efficiency, AI is assisting the financial sector in understanding challenges and prompting profound insights towards effective decision making. It further supports expanded and consistent growth that works in favor of both the service provider and the customer. Additionally, it improves performance by introducing automated processes and renders an overall improvement in transactions.

As we all know, finance forms the backbone of any civilization, which means securing and guarding it becomes essential. With the help of AI, the finance industry is moving towards a better future—a future where human intervention is minimal and computer processes are efficient.

Also Read

Artificial Intelligence to Make DevOps More Effective
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WBENC National Conference & Business Fair 2018

WBENC Event
Event Details: The National Conference & Business Fair is the largest conference of its kind for women business owners in the U.S. The WBENC National Conference & Business Fair is attended by Women’s Business Enterprises (WBEs); senior executives and procurement representatives from the Fortune 500 and the U.S. Government; and select partner organizations whose missions align with WBENC’s vision of expanding women’s business opportunities in the marketplace. With three days of robust programming, the conference features lectures and presentations from today’s thought leaders, engaging panel discussions, 1:1 MatchMaker sessions, networking receptions, and a notable Business Fair.

[Know more about the Conference]

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.

Pankaj Gupta (Client Partner at Idexcel) will be attending this event. For further queries, please write to pankaj.gupta@idexcel.com

AWS Public Sector Summit Washington, DC – 2018

AWS Summit Washington DC
Event Details: On June 20-21, 2018, global leaders from government, education, and nonprofit organizations will come together for the ninth annual AWS Public Sector Summit in Washington, DC. The move to the cloud is unlike any other technology shift in our lifetime. Don’t miss this opportunity to learn how to use the cloud for complex, innovative, and mission-critical projects. With over 100 breakout sessions led by visionaries, experts, and peers, you’ll take home new strategies and tactics for shaping culture, building new skillsets, saving costs, and achieving your mission.

[Know more about the Conference]

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.

Our Senior executives will be attending this event. For further queries, please write to inquiry@idexcel.com