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.

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.

IAAS, 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 on-premises to cloud Migration

Enhance your business to do more with the cloud!

Solid backup storage, emergency recovery & redundancy, reliable data access, scalability & high availability are few challenges you can experience with an existing on-premises infrastructure environment. This demands the need for extending or integrating their applications or systems with Cloud to transform their business.

Migration to the cloud is today’s most happening trend in the IT industry, majorly due to rapid digital transformation in the market. Hence, enterprises today are focused on innovative business models that can further strengthen their existing enterprise applications.

Migrating to the cloud can turn your IT into a strategic advantage for improving the accessibility, flexibility, and efficiency of your business. Platingnum specializes in migration to  Azure, and with help from our cloud trained and certified staff, you can seamlessly transition to technology that works for your users and admins alike. We are helping Enterprises with Azure Migration strategy and IaaS services for the smooth transition of their business to Azure. We aid in the capacity estimation, resource migration, fault-tolerant, recovery and redundancy planning, security, and services management, thus helping Enterprises incomplete & secure business transformation.

Azure is preferred as one of the leading cloud platforms because of its services that include infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS).

Migrating applications to Azure require Cloud IaaS strategy that can address unmatched security, secure & reliable backup store, recovery & redundancy planning, faster development, security, and services management, and maximized efficiency.

Azure is a flexible cloud platform for hosting a wide variety of workloads critical to modern business, including files, databases, websites, applications, and more. As your technology partner, Platingnum helps you discover the ways that hosting with Azure can increase your operational agility while reducing hosting costs.

However, migrating to Azure needs precise planning, and Platingnum offers Azure cloud migration consulting services to develop, plan, and execute Enterprise specific cloud migration strategies for securely & reliably extending infrastructure.


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.

Azure Data Ingestion (batch /real time)

With various big data solutions available, choosing the best one for your unique requirements may be challenging.

Data ingestion is the first step for building a Data Pipeline and also the most onerous task in the System of Big Data. In this layer, we plan the way to ingest data flows from hundreds or thousands of sources into the Data Center.

It allows the ingestion of real-time events from millions of data streams every second. It helps in implementing real-time analytics with high reliability on the data from the IoT assets. Building real-time dashboards, setting-up alerts, and implementing machine learning on multiple data streams for gaining invaluable insights, detecting anomalies, obtaining dashboard-views, and triggering specific alerts, all in real-time. We are leveraging it to provide enterprises with real-time insights from their devices and application data.

Platingnum often uses long-running batch jobs to filter, aggregate, and otherwise, prepare the data for analysis. Usually, these jobs involve reading source files from scalable storage, processing them, and writing the output to new files in scalable storage. The critical requirement of such batch processing engines is the ability to scale out computations, to handle a large volume of data.

We are tailoring machine learning models to suit specific business needs through Azure Data Ingestion. Platingnum helps enterprises demystify this process. Our big data architects, engineers, and consultants can help you navigate the big data system and create a reliable, scalable solution that integrates seamlessly with your existing data infrastructure. This helps you create real-time interactions with your customers, field force, and physical assets.

We leverage our IT services expertise to connect thousands of physical assets with Azure Cloud to extract real-time insights from their business and choosing a batch processing technology. Thus, enabling businesses to harness their enterprise data for creating differentiated competitive advantage, higher business value & highly improved customer satisfaction.

We leverage our IT services expertise to connect thousands of physical assets with Azure Cloud to extract real-time insights from their business and choosing a batch processing technology. Thus, enabling businesses to harness their enterprise data for creating differentiated competitive advantage, higher business value & highly improved customer satisfaction.

From defining the strategy to deploying and monitoring it, we’ll help you assess your needs, design your architecture and build, deploy, and manage your solution to ensure you get more from your data.

Azure Databricks Development

With the fast-paced technological development, most of the daily transactions we’re dealing with have been migrated to the internet. Although raw scanned documents allow for digital storage, there typically remains the need for intelligent structuring and parsing of the content within the form. Azure AI has best in class OCR services and AI tools that can be leveraged for intelligently extracting information from handwritten documents.

Azure Databricks is a unique collaboration between Microsoft and Databricks, forged to deliver Databricks’ Apache Spark-based analytics offering to the Microsoft Azure cloud. Azure Databricks is a Big Data analytics service. Being a Cloud Optimized managed PaaS offering, it is designed to hide the underlying distributed systems and networking complexity as much as possible from the end-user. The Databricks platform provides an interactive and collaborative notebook experience out-of-the-box, and due to it’s optimized Spark runtime, it frequently outperforms other Big Data Platforms in the cloud.

Azure Databricks is an Apache Spark-based analytics platform optimized for the Microsoft Azure cloud services platform. Databricks is integrated with Azure to provide one-click setup, streamlined workflows, and an interactive workspace that enables collaboration between data scientists, data engineers, and business analysts. Azure Databricks is a fully managed service that provides powerful ETL, analytics, and machine learning capabilities.

With Azure Databricks, our team of experts can develop your IT solution within a reasonable time frame. Azure Databricks is a secure, simple, and collaborative Apache Spark-based analytics service. This allows Azure Databricks users to focus on developing value-generating apps rather than stressing over infrastructure management.

DataBricks Tuning

Apache Spark is a fast and flexible compute engine for a variety of diverse workloads and a high-performance modern data warehousing. Op

Apache Spark is a fast and flexible compute engine for a variety of diverse workloads and a high-performance modern data warehousing. Optimizing performance for different applications, Azure Databricks provides the latest versions of Apache Spark and allows you to seamlessly integrate with open source libraries. Companies choose Azure Databricks to get Spark apps into production quickly. Platingnum helps you achieve maximum efficiency by providing:

  • Accurate, detailed chargeback reporting of the cost of running data apps on Azure Databricks.
  • Detailed views and workflows to understand how users, applications, and data pipelines, consume cluster resources.
  • The understanding of performance trends and cluster resource usage so that data teams can maximize their cloud investment.

Even though there is no one-size-fits-all strategy for getting the most out of every app on Azure Databricks, Azure Databricks provides limitless potential for running and managing Spark applications and data pipelines.

At Platingnum, we provide the essential context in the form of guided root cause analysis for Spark application failures and slowdowns. The tuning service also includes AI/ML-powered operational analytics to make sense of your Azure Databricks runtime, as well as analysis and correlation of runtime metadata and application code to guarantee the best configuration and tuning of  Spark apps.

timizing performance for different applications, Azure Databricks provides the latest versions of Apache Spark and allows you to seamlessly integrate with open source libraries. Companies choose Azure Databricks to get Spark apps into production quickly. Platingnum helps you achieve maximum efficiency by providing:

DataBricks Performance Tuning refers to the process of adjusting settings to record for memory, cores, and instances used by the system. This process guarantees that the DataBricks has a flawless performance and also prevents bottlenecking of resources in Spark.

While the performance delivered by Spark has enabled data scientists to undertake sophisticated analyses on important and complex data in actionable timeframes, too often, the process of the Data Bricks tuning can be a significant and time-consuming undertaking.

At Platingnum, we work to develop a tuning system that can be used to tune DataBricks jobs with minimal user involvement.

Platingnum provides a highly correlated and refined view of your cluster resources and data pipelines in Azure Databricks environments. During the DataBricks tuning, experts at Platingnum deliver critical insights and recommendations needed to provide a unified view and correlated metrics for Spark, Azure, Databricks as and reduce the number of tools needed to monitor, troubleshoot, and tune your Azure Databricks environment.

Azure Security

Security is the number one job in the cloud, and you must find accurate and timely information about Azure security. One of the best reasons to use Azure for your IT security is to take advantage of its wide array of security tools and capabilities. These tools help to create secure solutions on the reliable Azure platform. Microsoft Azure provides integrity, confidentiality, and transparency.

Azure’s infrastructure is designed to provide a trustworthy foundation upon which businesses can meet their security requirements.

Organizations already building on Azure or those evaluating the platform for their next cloud deployments needs an understanding of how Azure security protects their cloud environment, data, and applications. Azure provides several services that can be employed to manage account access and to identify vulnerabilities. The built-in capabilities are designed in six functional spheres: Operations, Applications, Storage, Networking, Compute, and Identity.


This section provides a comprehensive view of your organization’s IT security posture with built-in search queries for critical issues that require immediate attention. It helps with security operations by offering you a single dashboard that surfaces alerts and recommendations that can be acted upon immediately.


One of the easiest ways to get started with testing for vulnerabilities on your App Service is to perform one-click vulnerability scanning on your app. If you wish to go deeper, you may as well perform a Penetration Test.


You can secure your storage account with Role-Based Access Control (RBAC). It is imperative for organizations that want to enforce security policies for data access to restrict access based on the need to know and least privilege security principles.


Network access control helps to limit connectivity to and from specific devices or subnets and represents the core of network security. The network access control ensures that your virtual machines and services are accessible to only users and devices to which you want them available.


With Azure IaaS, you can use antimalware software to protect your virtual machines from malicious files, adware, and other threats. Microsoft Antimalware for Azure Cloud Services is a security capacity that helps identify and remove viruses, spyware, and other malicious software.

Identity and Access Management

Securing systems for applications, and data begins with identity-based access controls. The identity and access management features of Azure security services help protect your organizational and personal information from unauthorized access while making it available to legitimate users whenever and wherever they need it.

Experts from Platingnum offers comprehensive identity and access management cloud solution, that helps secure access to data in applications on-site and the cloud, and simplifies the management of users and groups.