Case studies

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CLOUD Computing

Cloud Computing,a form of computing in which all applications, information, and resources are managed in a virtual environment. The term cloud computing, in particular, the use of the word “cloud,” meant the nature and structure of cloud computing. Cloud computing includes virtual hosted environments that allow users to connect to services hosted via the Internet.

Cloud computing refers to both the applications that are delivered as services via the internet and the hardware and system software in the data centers that offer these services. We call the data center hardware and software a cloud. Cloud computing is a relatively new concept and has recently become popular. Cloud uses virtualization technology, and mostly, there is a logical separation between different nodes; each node appears as a separate physical machine for the user. Unlike grid computing, several distributed computers are connected to each other to form a sizeable logical computer that can handle large amounts of data and calculations. In the case of cloud computing, virtualization technology makes it possible to appear as a separate physical machine for each node, allowing the user to load custom software and operating system on each node and configure custom rules for each node.

The key feature of Cloud Computing: currently, there is no standard definition or specification for Cloud Computing. It can take some time to define the main functions of Cloud Computing based on practical methods. Based on service delivery and solution design, the following two key technologies can play a crucial role in this revolutionary phase of cloud computing:

Virtualization technology: Virtualization technology determines how the operating system, middleware, and application image spread and is assigned to a physical machine or part of the server stack. Virtualization technology can also help reuse licenses for operating systems, middleware, or software applications once a subscriber has released his service from the Cloud Computing platform.

Service-Oriented Architecture (SOA): A service-oriented architecture is essentially a collection of services. These services communicate with each other. The communication can consist of simple data transfer or two or more services that coordinate a specific activity. A way is needed to connect services. The evolution of a system or software architecture is now evolving towards service-oriented, unlike a few decades ago, the majority of the application stands on its own and is intended for one-off use. Recently, with the enormous growth of internet users and the availability of internet technology, the use of software can now be rented. Large companies such as Google, Microsoft, Sun or even Amazon have this option to offer software services instead of selling the software directly to the user. The SOA is software or system architecture that addresses components, reusability, extensibility, and flexibility. This entire function is a fundamental need for companies looking for cost reduction and choosing to rent instead of buying.

There are a lot of variants of cloud computing:

IAAS (INFRASTRUCTURE AS A SERVICE):the need for expensive equipment is outsourced. Instead of companies that purchase costly equipment, including servers, hard drives, and network equipment, they are instead used through the cloud and hosted by a cloud computing company. The business entity would use a virtual machine based on cost usage.

SAAS, SOFTWARE AS A SERVICE, is the least used cloud hosting service. It is a win-win for both consumers and software companies. Consumers save money because expensive software licenses are no longer needed because consumers only pay when the software is used. The need to purchase bulk software has been removed, and the software needs of every consumer have been adapted to use. This is also a victory for cloud software companies because it will attract more consumers because of the adjusted pricing model. Consumers who could not afford the high costs of bulk software licenses can now make purchases directly based on their software usage needs. SaaS has the potential to completely revolutionize the software industry and can even curb software piracy.

AAS, “AS A SERVICE,”is currently the most used cloud service. With IaaS, small, medium, and even large companies can save considerable costs. Companies can altogether remove the need for expensive network equipment, precious bandwidth to support their network, and much more. A user only pays for what they use from the cloud infrastructure and thus eliminates the lost capital due to lack of use by internal network equipment, bandwidth, etc. As IaaS gains popularity and more cloud hosting companies arise, costs can fall even more as a result of oversupply and increased competition in cloud hosting.

PAAS, PLATFORM AS A SERVICE, is in second place at IaaS in terms of popularity and consumer acceptance. A small company that sells cloud applications and/or cloud services does not have to host the claims, but can instead have them hosted elsewhere. Platform as a Service saves the company that sells the applications/services, because expensive network equipment, bandwidth, and the need for additional IT staff are outsourced to a cloud hosting company instead. This allows cloud application companies and even small developers to enter the cloud application market without the need for much-starting capital. PaaS has the potential to catch up with IaaS in the field of consumer acceptance and general use.

The adapted nature of cloud computing makes it a popular and new internet technology. It will revolutionize the way networks and daily computing are implemented.

Azure Databricks Development

Microsoft Azure Data-bricks is a collaborative Spark-based platform designed to easily manage big data and artificial intelligence. Using the Microsoft cloud service, organizations are able to place other Azure users in a position to access the information on a single platform so that they can process it and retrieve valuable analytics. As a consultancy firm, we help organizations in implementing the MS Azure Data-bricks to enable them to streamline workflows. The Azure Data Factory ingests raw or structured big data into Azure in batches. Azure Data-bricks is all about collaboration, productivity and managing data. The analytics engine for big data uses other Azure services such as SQL, machine learning, streaming and graph processing. The biggest benefit of utilizing Azure Data-bricks for organizations is that it helps achieve faster time-to-value.

The main aim of our service delivery as a consultancy firm is to provide an explanation of how organizations can consistently produce data science using Azure Data-bricks. Large amounts of data that are produced by web applications, HTTP logs or internet of things devices has been a trending topic in the IT industry for a long time now but there have been several methods of managing this issue such as batch processing and spark streaming for real time processing.

Batch processing involves processing chunks of data that have already been stored over a certain period of time. Apache spark is currently the best f ramework whose main goal is to perform fast distributed computing on big data by applying in-memory primitives. Most financial institutions use Spark batch processing in order to process all the financial transactions done within a specific period of time as it allows user programs to enter data i nto memory for future reference which makes it the most preferred tool for online and iterative processing. It helps organizations in keeping millions of data records, processing files that the organization would want to do which will obviously take long to process depending on the data size. Spark batch processing is more effective in scenarios where real-time analytic results are not necessarily required, when the data to be processed is in large amounts and when more detailed insights are required regardless of fast analytics results

Stream processing allows organizations to process data as they are acquired in real time and detects conditions within a short period immediately after the data is received. Spark streaming is an example of stream processing that has come to organizations rescue as it has helped many organizations including us to harness huge amounts of data. It lays out scalable, high-efficiency and fault-tolerant stream processing of live data streams. Spark can be amalgamated with streaming of other libraries like machine learning, SQL or graph processing which provides unlimited likelihoods and use case coverage. Spark streaming is almost similar to other spark batch jobs because in both scenarios, input is operated, transformed whereas output is put elsewhere, hence, the only difference is the endless character of streaming jobs, they run throughout an unlimited period/time until they are brought to an untimely end.

Apache spark development is a common source framework that ensures data processing in a high speed and supports various programming languages such as python. Data-bricks python spark development has been designed to assist organizations to easily manage big data and artificial intelligence, it has been developed by python programming language. It stores data in rows under named columns similar to the relational database tables or excel sheets.

On this note, it is fair in concluding that, Azure data-bricks with spark helps organizations in exploring, storing and streaming big data and we as a consultancy firm can attest to that because we also use these tools.


Azure DevOps has been a buzzword lately, and many people and organisations often use it. There is no right answer to the question “What is Azure DevOps”? It is about the perception, experience and understanding of the culture of the organisation and how it fits into the current era.

Let’s make it clear that Azure DevOps is not an innovative technology, tool or framework. We can consider it as a culture of an organisation where the administration of the application life cycle is central. However, Azure DevOps consists of merging two words 1) Development 2) Operations. Both the team has different responsibilities in the administration cycle of launching the application. It is more related to communication, feedback between various stakeholders, such as developers, evaluators, infrastructure team, configuration management team, implementation team, etc.

Azure DevOps contains several subconcepts such as:

  • Continuous integration: it is more a culture of integrating application code or source code into source code stores such as SVN and GIT several times a day. Compilation tools such as Ant and Maven are used to verify check-in by integrating source code repositories and continuous integration tools such as Jenkins, Atlassian Bamboo, etc.
  • Continuous tests: automated tests or unit tests to be more precise. Junit or Selenium is used for an automated analysis of this type, and these tools are integrated by tools in continuous integration behaviour.
  • Continuous provisioning or provisioning in the cloud: virtual machines or instances in the cloud are highly available, flexible and pay-per-use. It is useful to create different types of cases for different environments, such as development, testing, staging and production. Several cloud service providers can be used, such as Microsoft Azure and Amazon Web. Several models of cloud services can be taken into account, such as Infrastructure as a service or Platform as a service.
  • Configuration management: Configuration management is useful for preparing runtime environments in a consistent manner in all situations. Managing resources with such devices in the cloud environment is straightforward.
  • Continuous delivery or continuous implementation: constant delivery or consistentapplication are terms that are used separately in daily use. Continuous delivery can be used when the package file is ready for deployment in any environment, while the term ongoing implementation can be used when the package file is available for production deployment.

It is always useful to organise the end-to-end process of managing application launches. View on orchestration provides information about the end-to-end automation process, and that is very useful for creating and maintaining the Azure DevOps culture.

Collaboration: Sharing is the core of Azure Azure DevOps. Being able to host and manage the code centrally is the key to any organisational objective that involves optimisation. Even if the only systemyour computer has is a collection of PowerShell or VB scripts that you use to set up accounts or manage servers, saving that code in Azure Azure DevOps provides a central location to execute that code. The version code is an essential dimension of code management, and if you want to use Team Foundation or GIT version management, Azure Azure DevOps has it covered.

Work stuff:Even if you don’t have to manage the code, you can coordinate the administration of your systems with work items. Work items represent a “thing”, whether it is a server, whether it is the risk of your project or a system error, but power arises when you create work items in the context of a process template. With a process template, you can model your work items around an Agile Framework (which works well for software development) or the Integration of Capability Maturity Model (CMMI), which works well for system administration. No matter how you classify them, work items can help your team divide their complex systems into manageable workloads.

Continuous Integration and Delivery: For software-based organisations, Azure Azure DevOps offers a robust platform where you can implement your solutions in a pipeline for continuous integration and implementation. Whether you perform a solution hosted on Azure or even a solution hosted on AWS, the Azure Azure DevOps CICD pipeline can take your answer from development to delivery.

With a broad market for add-ons and integrations, infrastructure as a code can also be included in the pipeline, so that the ambitious system administrator can automate essential changes in its environment from a single location.

Open platform:Azure Azure DevOps offers extensive integration with industry and community tools. It is far from being the final solution for a provider that was the initial version of TFS. As mentioned earlier, there is a market that makes hundreds of extensions available, so if Azure Develops does nothing outside the box, there is likely to be a tool in the market that does.

In this opening area, Microsoft is a clear leader in promoting collaboration, even with the competition, which is evident in the market where you can find integration extensions that range from AWS to Slack to ServiceNow. All this integration occurs with the client in mind, because Azure Azure DevOps wants to be one of the many possible tools in your bag to manage your code development needs.

Become a software company: At the beginning of this publication, I was referring to an audience that might not be creating software. However, the trend in the industry is changing towards Satya Nadella’s idea: “each company must be a software company”.

In this quest to overcome the competition and achieve differentiation, a new type of business model is emerging: a Cloud Operating Model (COM). The Cloud Operating Model wants to bring together business leaders and managers and technology teams to specify how technology is implemented in a company.

A measure of a successful business is how it uses technology and how it is both an offensive and defensive strategy. This is vital in a world where there is a long list of companies established from glory to failure. By building a cloud operation model and turning it into the backbone of the organisation’s IT infrastructure, each business will be on the right track.

To be truly successful, there is a need for more communication and collaboration throughout the company, so we wanted it to be a guide to stimulate discussion, as future technological decisions are made. When non-technical and technical audiences come together, there is a mutual understanding of what is happening with the other.


Although the use of cloud computing is growing day by day, many people are concerned about the issue of security. A large number of people do not like their sensitive information being stored online.

There have been some significant security issues in the past because hackers have introduced different systems and collect sensitive information such as bank details, health records and more. While it is realistic to have such concerns, you should be aware that a lot of cloud service providers are ethical companies that want to provide a secure environment for all their customers.

A cloud service provider will work hard to ensure that the infrastructure is secure, and there is no chance of information leaking. Did you notice that there are some very complex systems that these companies use so that nothing gets leaked or stolen by someone who shouldn’t have it?

It is also up to customers to ensure that they use a reputable company that takes security seriously. It is often relatively easy to see the difference between those who make your private bits of information seriously and those who are not.

Cloud computing Benefits

  • Cloud computing has many advantages over on-premises computing:
  • You can runthe application or access your files anywhere in the world from any computer.
  • Cloud computing is chea
  • You need less technical knowledge.
  • Cloud computing delivers better performance.
  • Cloud computing is scalable in advance. An increasing number of applications you use or amount of data you store does not require significant investment; you only have to advise the cloud hosting consultant.

Different types of controls that are used by cloud service providers, these are:

  • Corrective controls – these are controls that start working as soon as an attack occurs. They help deter the aggression and build a wall around the sensitive information so that it cannot be reached.
  • Preventive checks – these checks look at the vulnerabilities in the system and work on them so that any damage is kept to a minimum.
  • Deterrent controls – these are the controls that keep hackers and viruses out of the system. Although they only act as a warning, they can help make a difference in the number of attacks that take place.
  • Detective controls – these controls are continually looking for an attack, and when they encounter it, they will tell corrective and preventive controls to take action.

The days are over when someone can easily hack your computer and add a virus to one of your programs. These days it is a very complicated subject that requires a lot of effort to get into programs that are being used. When you add cloud computing to the comparison, you make it a lot harder for hackers to access the files and plans that you need.

Cloud computing is still one of the safest ways of computing. Cloud service providers work hard every day to ensure that security compromises are kept to a minimum. Although you occasionally have to pay to use cloud computing services, they are very safe and reliable. Moreover, the information that you have to work with daily is accessible within a short time. There are no significant problems with cloud security, so consider switching to the cloud today.

Cloud security has always been a significant concern for those who want to make the switch to the cloud or for those who have already made the switch to the cloud. However, you will find that an abundance of Cloud development companies actually takes a large number of countermeasures to prevent any kind of catastrophe. Whether it is a hacker or a server that is melting, cloud providers ensure a secure environment in the cloud.

1. Access

Access to the data is incredibly important. Although it is a straightforward concept, let’s continue. Those who have access to or consent to the data can use or view this data. Conversely, those without access or permission cannot do this. It remains that those with malicious intent who have gained access will cause problems for you and your company. It is, therefore, important that access to confidential data is minimal and only those who really need access get it.

Additional measures to protect the data. Employees with access may also be asked to provide identification when trying to use their access. This helps prevent potential perpetrators from committing a crime.

2. Encryption

Most cloud software providers can provide encryption for your data. Encryption is the process whereby data or information is encrypted in such a way that only authorized parties can access it. This offers a highly efficient method for maintaining the confidentiality of data. To obtain an encrypted file, the user must have access to a secret key or password to decrypt the message. The cloud development company must, therefore, be able to encrypt your information within the cloud and give you full ownership of the key to access the encrypted data.

3. Emergency recovery

There are scenarios in which your information and data stored in the Cloud will be lost, deleted, inaccessible, or damaged. In times like these, terrible information may be needed, and with all these disasters you may never get the chance to access that data. Software development companies, therefore, develop safety nets for such scenarios. Most companies have multiple backup servers, which exist to maintain an active server in case the primary server fails. This helps to prevent obstacles for the customer. Also, companies usually routinely back up their server data. This helps to avoid setbacks due to data loss, whether it’s glitch or hacking. With these safety nets in the mountains, Cloud computing appears to be increasingly safer and more reliable.

4. Customer-oriented

The renowned software companies develop their software with the customers in mind. As such, the Cloud software is being developed, particularly by those who deliver software to companies, with the company as a whole in mind. These companies understand the risks of Cloud Computing and take all necessary precautions to prevent such cases. In short, companies that build cloud-based platforms generally focus more on security and governance than companies that make systems that are related to existing ones within a firewall.


Since there is indeed a reasonable amount of paranoia about cloud computing and data storage, there are numerous countermeasures taken by the provider to prevent accidents. The Cloud is really safe and with more technological progress, the Cloud can only become safer.

Leading UK Insurer

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Det er en kendsgerning, at man bliver distraheret af læsbart indhold på en side, når man betragter dens layout. Meningen med at bruge Lorem Ipsum er, at teksten indeholder mere eller mindre almindelig tekstopbygning i modsætning til “Tekst her – og mere tekst her”, mens det samtidigt ligner almindelig tekst. Mange layoutprogrammer og webdesignere bruger Lorem Ipsum som fyldtekst. En søgning på Lorem Ipsum afslører mange websider, som stadig er på udviklingsstadiet. Der har været et utal af variationer, som er opstået enten på grund af fejl og andre gange med vilje (som blandt andet et resultat af humor).

Leading UK Insurer

Det er en kendsgerning, at man bliver distraheret af læsbart indhold på en side, når man betragter dens layout. Meningen med at bruge Lorem Ipsum er, at teksten indeholder mere eller mindre almindelig tekstopbygning i modsætning til “Tekst her – og mere tekst her”, mens det samtidigt ligner almindelig tekst. Mange layoutprogrammer og webdesignere bruger Lorem Ipsum som fyldtekst. En søgning på Lorem Ipsum afslører mange websider, som stadig er på udviklingsstadiet. Der har været et utal af variationer, som er opstået enten på grund af fejl og andre gange med vilje (som blandt andet et resultat af humor).