Last two weeks, I have travelled to Bangalore, India to provide trainings to Architects from various global system integrators on Microsoft Azure technology. During this travel, I have delivered sessions / workshops on the following:

• Architecting Big Data & Analytics Solutions: The proliferation of customer data and the desire for insights not previously attainable has created a new industry focused on analyzing massive amounts of data. The cost of processing huge amounts of data does not need to be prohibitive when you can take advantage of a scalable cloud platform. We will discuss the Lambda architecture to take advantage of both batch and stream processing of data and will show various Azure services such as Azure Data Lake, Azure Data Factory, Azure Stream Analytics, Azure Machine Learning, and Power BI to provide a solution to unlock insights into data.

• Architecting Modern Cloud Applications: Modern cloud applications offer end-user experiences and features that transcend traditional on-premises applications. For example, there are often multiple database technologies supporting today’s modern app. Embrace the notion of polyglot persistence and see how RDBMS’s, NoSQL databases, and caches can be combined to deliver robust end-user experiences. Modern cloud apps today are also expected to be reachable regardless of the platform or device. See how Azure’s App Service can be used to expand the reach of your solutions. Modern cloud apps are also not always just platform-as-a-service solutions. Learn about modern architecture patterns enabled by Azure that span infrastructure-as-a-service and platform-as-a-service deployments.

• Architecting Global Scale Web and Mobile Solutions: One of the main benefits of the Microsoft Azure platform is its massive scale. Microsoft Azure runs on a massive network of over 19 regions worldwide. This global reach makes it possible to create solutions on a global scale that meet your demanding performance requirements. We will discuss architectural patterns that lend themselves to global geo-located solutions and the specific features of Microsoft Azure that enable geo-replicated data.

• Dev Ops: Enterprise IT organizations are increasingly driven by business demands for faster, better solutions delivered more quickly than ever before. DevOps has emerged as a trend to help organizations evolve to better collaborate between development and operations teams for addressing these solution delivery challenges. While a DevOps transformation can take time to fully realize within an organization’s people and processes, there’s opportunities to accelerate the path towards DevOps by smartly leveraging cloud capabilities that can reduce infrastructure complexity, simplify release management, and support end-to-end application visibility through all stages of a solution’s lifecycle. This session will discuss the features in Microsoft Azure that help to realize this transformation and how the platform enables integration with existing assets.

• Case Study – Internet of Things (IoT)
• Case Study – Refactoring Multi-Tier Solutions
• Case Study – Lift and Shift
• Case Study – Identity and Access Management
• Case Study – Networking