Building Reliable Digital operations

After we have seen the three biggest industrial revolutions the fourth revolution is in place. This bring us the promise of the most exciting and innovative technologies. We are already on a brink of the tremendous technical revolution which will reform the ways we work, interact and live with one another. This revolution will be something like the mankind has ever experienced before.

The most revolutionary technologies, IoT (Internet of things), Flexible maker technologies, Big Data etc. hold the potential to metamorphose an organisation’s way to compete and create value in the market place. Now the urge is to make this a cornerstone for the enterprises whose effect will cause a disruption and the market will follow this inevitably.

Business Insights

In an organisation being a business leader, one may this think that thinking and implementing this kind of cutting edge technology. Embracing the feasibility and tractability of new technologies is important but the most important exercise is that the benefits of the technology is delivered to the customers and must be worth the efforts put in. Here where the operational capabilities come into play, where the excellence ca only deliver the best results and the close to the perfect implementation.

There are certain notes which need to be considered for this.

  • The operations must be planned and well adapted and researched as per the customer requirements.

  • The reliability factor should be high as well as there must be adaptability as required which is the most challenging part here to be achieved.

  • The technology must be reconciled in the ways that it satisfies the business requirements.

  • The conflicting demands should be filtered out and must be planned on the fulfillment.

Infrastructure as a Code

Here we are talking about the new business era with significantly evolving digital advancements. Here the three things matter the most which are

  • Speed

  • Adaptability

  • Reliability

The operational infrastructure in this digital era will be based on the cloud where the delivery of the results should happen within the fraction of the seconds. The cloud base infrastructure of any mode of operations requires its own infrastructure, such as databases, servers, networking software, digital libraries etc. These things may seen small but are the backbone of the whole infrastructure and any differences may prove to be catastrophic.

Investment requirement and reliability factor.

The automaton is the next stage after deployment of the cloud based operations and setting up the infrastructure for optimised performance and speed. But, this requires a significant amount of money, time and resources to be invested. But the getting investments, take just more than an infrastructure but the capabilities of the setup. Even the biggest organisations face the gap between the operations and the software development teams. As the development often take time but the ops is needed to be completed in the minimum time frame. Hence the efficiency and coordination of the system must be at par to gain a capital investment and utilise it without any hitches.

A solid foundation is required.

The infrastructure’s code foundation ( Cloud) and the operation collaboration is the most critical aspect for establishment. This foundation which requires – speed, adaptability and reliability for any forthcoming scenarios and progress. Everyone must play their part in making the foundation rock strong.



Adapting A Digital Platform Strategy

Any established company in this digital world know, the challenges of remaining technologically advanced and modernise with the averaging technology. It’s crucial to lay out a plan to update the technology and upgrade without causing any to the day to day operations. A schematic approach is required with a rock-solid foundation rock solid to make the changes and upgrade the technology. Here where are going to discuss the strategies and approach towards the digital platform.

An Approach

Building a competitive digital platform acts as one of an option which promotes, the integration of digital platforms customer platform with the pre-existing system. Here it must also be noted that containment and management are better than the replacement and management of the system. This approach starts with focusing on the customer and their demands which implies as

  • Charting a course: Identify platform customer service goals and implementing them in the digital platform.
  • Establish your ground: After the initial integration is done, these services need to be guarded against any threats which me organisational or schematic.
  • Forging and embedding new frontier: post the establishment of a new digital platform, new services could be added and integrated making it a building block of an organisation.

Even for the mature companies who have experience and have invested for years in new businesses, strategic re-platforming will play a substantial role in making the migration from their own established IT core to a digital platform. After this transition, every organisation must go looking for any further scope of improvements, any adverse effects etc which will prove to strengthen, build and optimise the digital capabilities.

Re-platform Strategically

Developed or experience organisation who have already been investing in the side technologies know the importance of technological advancement in the ever-ageing era of technology. Most of those organisations have already adapted to the change but may still work on the core IT platform. To make them digitalised instead of replacement of the whole structure a strategic re platforming can be considered that it doesn’t affect the business operation and also goes on well with the business associated innovative disruption. The digitalisation of the platforms will further provide the opportunities for the advancement buy cloud-based operations, which serve as an integral part for the advanced operations management and is faster and reliable than the core IT technology.

The takeaway

The digital transformation has a promising future but the success of this transformation solely depends upon the management of the operations aspects. Managing the digital platform is as integral as managing any core IT technology. Unlike which is more easy and centralised. The design if the platform must be optimised in such a manner that none of the operations is affected and the diversification of the multi-sided businesses can also be managed.

Speed, performance and integrity are the most important aspects which must be handled in a proactive manner. The delivery of the services must be speedy and efficient to ensure the benefits of the platform, else leading to the failure of the system.

Intelligent Empowerment

Intelligent Empowerment

Intelligent systems are a new beckon of business disruption in our society. Where various governments are perturbed for the probable implications of smart/intelligent systems where robots are superseding jobs. These are what brings machine intelligence with human intelligence by the muse of modern technologies such as Artificial intelligence, optimisation techniques and machine learning.

The market opportunity for enhanced technology, especially for artificial intelligence, is thriving. Various tech giants such as IBM, Google and Microsoft are investing millions of dollars for research and development. Where the scope of implementation is growing in various IT fields such as the Internet of Things (IoT). However various other companies such as Samsung are also into development if artificial intelligence by machine learning. Various big contenders in the market are also partnering to create an open-source platform where ideas could flow and various technical aspects could be used to collaborate those ideas and to implement learning solutions by AI.

Promise to the future

Various the tech discussed above have been into existence from a long time and we are into their development phase. Tak example of AI which came into existence during the early 2000 but has been developed into more sophisticated algorithms and designs. We have smart devices that work on the AI or have similar features. These algos have further used in various other gadgets having the same functioning criteria, such as Google smart cars. These are building up a chain and we have various manufacturing industries too implementing the techniques for automation of the manufacturing units.

A brief history

Intelligent systems revolution started with the development of the iPhone 1 after the internet revolution took place. This phone cheated a hype in the market for the development of one of the best and compact technologies, which could be used as a cell phone. Post that Motorola came onto play with its flip phone and this cycle went on. New business models started to be developed by tech giants such as Google, Facebook to win the new game of advanced technologies and system development. The first ever automated machines developed were the CNC machine used in the manufacturing industries.

Conclusion from reality

Where the basic introduction of the frameworks, which we are developing took extensive research and up to 20 – 30 years. This modern reality may be called the 2.0 of the phase and developments and growths are being made exponentially. Some of the most advanced technologies which we might not be able to see could be found during KYC )Know Your Customer) where products such as face recognition and retina scan are used. There also various other products in the market such as rubric’s cube solver which uses machine learning and AI for the development and functioning.

There are a huge market and opportunity for intelligent systems. We need a holistic approach to for planning am execution so that the to replace the existing modules such as COTS for future developments.


Management of Environments Using Pipelines

One of the best ways to determine the server based infrastructure for implementing software is by using tools like Terraform, Heat and Cloud Formation. Modification, provision configuration and restructuring of an environment should be confined in a way that is transparent, repetitive and testable. By using it in an appropriate manner the above tools will give us the confidence to make changes, make adjustments and to restructure our infrastructure in simple, easy and comfortable way.

After using the above tools most of us will experience some drawbacks. Automation tool that easily fixes sprawling infrastructure can also roll out the crock-up easily. Have you come across a corrupted file on a server like /etc/hosts during your non-production process? Making it impossible to handle the error or to fix it or even to run the tool again? I have come across it.

A Better way is necessary to test and to make an alteration safely before using them in environments that you care so much about. Software delivery 101 is always used to test a new feature in an environment before deploying it into the real environment to live. In order to structure your infrastructure code in a best possible way it is not necessary to follow the above method.

There are various methods to achieve this. One such method is usage of separate stack, which helps explain and define each individual environment. Another strategy is to put everything about the environment in one stack. People use different methods – to do it which I am mentioning it over here. Finally, you may create and promote a single stack, with the use of pipeline.

If you look at the methods stated above, the first method is not at all good, the second method performs well only for simple setups like for two or three environments. This method is rarely used by the people, and the last method works well for large and complex processes.


Before moving ahead, let us see the definition that I use:

Stack – Set of infrastructure that are defined and managed as a unit is referred as Stack. The stack will map directly to AWS CloudFormation stack and also sets our infrastructure to Terraform state file. Stack Definition is referred as a file or a set of file that is used to create a stack. The stack definition can be a folder consisting a group of files of Terraform files with the extension *.tf or may include a folder with template files for CloudFormation

There are more environments that are used by teams like development, UAT, Performance, QA, dynamic infrastructure platform, but for the sake of simplicity, I will be using only two environments namely Staging and Production the concept remains the same in all environments.

All Environments into a single stack

This approach is one of the simplest and easy to implement approach used by most of the people to get started. Yet,it is also a problematic one. All the environments starting from development phase to production phase are defined in a single stack definition. The environment phases are created and managed as a single stack instance


There are different methods that are used by people, but pipelines infrastructure is the best method to use for the environment. The approach guarantees that changes are applied to each and every environment and they have passed the test automatically. The pipeline method is more flexible. The developers can develop their own sandbox instances which will help them to easily deploy and test the cloud based applications. The pipeline approach allows teams to make changes to their environment definition without disturbing other team members. Environments can be created easily and whenever needed by testers, reviewers and other people.

Ajay Sahoo

How cloud computing influences car sales

Cloud computing has totally changed the way organizations — and their purchasers — store and access their information.

“Cloud is about how you do processing, not where you do figuring.”

Cloud computing:

Distributed computing is the utilization of different administrations, for example, programming improvement stages, servers, stockpiling and programming, over the web, regularly alluded to as the “cloud.”

Going back to 1990s, the utilization of enormous information in vehicle investigation was appeared by Ford, and in the year 2004, they made a self-learning neural system framework for their Aston Martin DB9. With an expect to improve the driving conditions and keeping the motors to work effectively, it without a doubt has turned into the first since forever information driven vehicle organization. The tryst of enormous information and cars has from that point forward developed to a point of utilizing it in self driving vehicles in the present date.

With Google’s self-driving vehicle and numerous others making it to the rundown, one essential part that frames a base for every one of them is-“information”. With a considerable measure of sensors introduced to make a vehicle drive independent from anyone else, it creates a colossal measure of information now and then running to as much as 1 Gigabyte consistently. This information is significant for a scope of things, from keeping a beware of movement and street conditions to normal risks, for example, avalanches and ice and ascertaining if a man may show up all of a sudden before vehicle. Furthermore, if self-driving autos turn into an ordinary situation, it must be left to our creative ability how much information it will make.

With a gigantic extension in oneself drives and associated vehicle administrations which is assessed to wind up a $50 billion market, different organizations like Renault, Ford, Daimler is endeavoring towards getting the greater part of enormous information. BMW additionally declared the creation of self-driving autos with chip mammoth Intel and Israeli innovation organization, Mobileye, which has raised an astounding $ 400 million.

Worldwide assembling is experiencing a time of progress, particularly in the car division. Each part of the car producer’s organizations, whether it is items and administrations or where and how they’re sold or what controls apply crosswise over various geologies, even the essential plans of action of the business – is experiencing an ocean change, because of changes in the examples of interest from the market.

As the business includes new capacities and enters new unexplored market sections, it likewise faces difficulties as regularly developing unpredictability and the expense of overseeing IT resources. Is Cloud the response to the vast majority of these worries that the car part faces? Give us a chance to perceive what the cloud has in store for the car business

As producers progressively depend on IT to guarantee the smooth running of their supply chains and taking care of appropriation/merchant arrange, the topic of regardless of whether to move to the cloud is unavoidable. The cloud can enable producers to wind up more adaptable and versatile to advertise and strategic requests. Specifically, it can enable them to cost successfully streamline their supply chains for sudden and some of the time unforeseen development. The cloud gives the truly necessary versatility both as far as expense and all the more essentially the spryness required in the store network to help future development.

The car business faces a huge number of difficulties in its IT registering condition. The interest for server farms for figuring capacities keeps on expanding as associations work business forms, perform designing reenactments and give business investigation.