Definition of Azure Marketplace
The Marketplace in Microsoft Azure is similar to an online store that provides multiple applications and services developed on the public cloud of Microsoft Azure. It is provided by software vendors like SAP, CoreOS, Veeam, and Microsoft. It is sold by Marketplace of Microsoft Azure directly from technology partners. The Marketplace enables the user to implement offers that are approved by the proprietor and adhere to the policy of the enterprise. The brief on the marketplace, its implementation, its features, and services are discussed in this article.
The iterative approach to implementing the marketplace helps to extend the learning capacity, minimize the cost and ensure that the platform should be strong to set an idea for success. The content to build the marketplace online is a process that should be validated and implemented with cognitive planning to become successful.
- Choose a strong and best marketplace and validate before you launch it
- Select the business model and pricing level for the marketplace.
- Build the minimal viable platform
- Develop the initial supply
- Deploy the marketplace to the consumers.
- Keep a periodic track of the key metrics and work on them to make your business grow.
The marketplace setup is broadly divided into three categories. One is planning and implementation, the next is discussing and validating on technological part and the final step is to launch and grow your business and periodically track on it, to work on the success part.
The azure terminology which is used to implement MarkLogic is defined as a Solution template. It is built as an infrastructure as a code. MarkLogic offers pre-built templates to consumers to have rapid deployment on Azure which has customizable patterns according to the requirements of the user in the template repository of Azure solution.
Azure Marketplace Categories
The categories of Azure marketplace are best aligned with the proposition of the requirement. The developers and IT professionals have categories in app source of business users seeking for industry saas applications, add-ons of Microsoft 365, and add-ons of Dynamic 365. The blockchain includes tools, multi-node ledger, single-node ledger, and app accelerators. The collaboration terms include meeting management, voice and video conferencing, task, project management, people contact. The computer applications have cache, operating systems, and application infrastructure. The legal billing, health, safety, audit, tax, privacy, and data governance comes under compliance and legal categories. The containers included container images, container application, and the fundamentals of containers. The databases include relational databases, NoSQL databases, data lakes, data warehouses, and blockchain databases. The developer tools include developer services and scripts. The finance options include credit collection, risk management, reporting, analytics, asset management, and accounting. The maps, weather, and news fall under geolocation. The HR operations. Talent management, talent acquisition, workforce analytics, workforce planning comes under the Human resource category. The messaging process comes with integration, business applications, management solutions. The Internet of Things includes IoT core services, IoT edge modules, IoT connectivity, data analytics, data visualization, and IoT solutions. Remote monitoring, connected products, predictive maintenance, intelligent supply chain, security, safety, mobility, vehicles, small infrastructure, and resources. The marketing includes Social media, email marketing, events management, resource management, analytics, research analysis, automation, and campaign management. The supply chain includes demand forecasting, quality management, service management, asset and production management, information management, purchasing, planning, connectivity, and warehouse management. The live and on-demand streaming, content protection, and media services come under media. Document management, email management, language translation, gamification, search, and reference come under productivity. The sales include CRM, E-commerce, sales enablement, Telesales, Quote, configure, Price, and Business data enrichment. The networking includes load balancers, firewalls, and connectivity and appliance managers. The storage includes file sharing, backup, recovery, and enterprise hybrid storage, and data lifecycle management. The web data includes Web apps, starters, web app frameworks, CMS, and Blogs.
Custom vision is a part of Azure cognitive services which has a specific domain on analysis of computer vision images. It is used to develop frictionless user experience, optimize the industrialized process, speed up the campaign of digital marketing, and it doesn’t require any expertise in machine learning to get accuracy without any complexity. The computer vision model can be made by labeling and uploading few images. The model test consistently increases the precision via feedback loop when any image is added. To enhance the development, customizing models are built.
Azure marketplace ARM Templates:
Azure Resource Manager is the original platform for infrastructure as a code and it allows the user to manage the deployment, secure the Azure resources and put the groups into containers, and then manage the asset together. Templates of ARM is used to define the object, names, types, and properties of JSON file that can be ensured to source control and governed with other code files. It gives the capability to roll out the infrastructure as a code.
Direct the infrastructure with a declarative template instead of scripts. Then deploy it again throughout the entire development lifecycle and have assurance on the resources placed at consistent places. It can be defined with dependencies between multiple resources and so it can be sorted out if they are not organized in the correct order. Imply the access control to every service as Azure is role-based and it is originally integrated into the management platform. Then give tags to resources to organize them logically with subscription policies. Discuss with the enterprise to have a clarification on billing, viewing the cost, sharing the group of resources under the same tag.
The analytics of Azure Marketplace is Big data, predictive analysis, data analytics, data insights, AI machine learning, visualization, reporting, advanced analytics, and analytics on streaming and real-time. Machine learning and AI together constitute cognitive services, Bot services, ML services, Data labeling, Automated ML, Data preparation, ML operations, and automation on the robotic process. Hence, this article explained the basics of Azure Marketplace which is booming in recent days and utilized effectively according to the requirement.
This is a guide to Azure Marketplace. Here we discuss the Definition, Marketplace Steps, categories, ARM Templates respectively. You may also have a look at the following articles to learn more –