Raj Balakrishnan
Senior Cloud Solutions Architect, Western Europe
Amsterdam, The Netherlands
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Enabling startups, scaleups and digital natives succeed in leveraging cloud platforms
My experience is in designing well-architected solutions on Microsoft azure.
I help building intelligent apps (AI/ML) and platforms.
Do you have a question to ask about Microsoft azure ? Send an invite @ https://aka.ms/helloraj
LinkedIn - https://www.linkedin.com/in/raj-microsoft/
Email - rajkumarb@outlook.com
Area of Expertise
Topics
Saving Azure Costs in Plain English
Organizations are increasingly focused on cost management. They are seeking cloud solutions that allow them to operate economically while maximizing their ROI in the cloud.
When it comes to saving costs in cloud computing, there are multiple opportunities in Azure today. Sometimes it is not clear when to use what. for example : Azure Reserved Instances vs Azure Savings Plan for Compute or how does one compare to another. This talk aims to deliver complex cost saving mechanics in plain English. Join me to save some bucks in Azure
Microservices using the Dapr Runtime
The talk helps you get started with Dapr Runtime to build services. Explains the core concepts and the sidecar approach of dapr and we checkout how does it compare to other actor based frameworks. We will look at the dapr github samples and take away a solid understanding of building cloud native apps using dapr
Practical Implementation of Microservices using Azure Functions and Event Grid
The talk explains "How to build loosely coupled Microservices using Event Driven Architecture" We will use Azure Serverless functions to Build Microservices and will loosely couple them using a Event driven Messaging Platform like Event Grid keeping the Microservices state unaware.
In this talk, we will build four microservices that use an Event Grid custom topic for inter-service eventing, and a front-end Angular app that uses SignalR to forward Event Grid events to the user interface in real time.
The application itself is a personal knowledge management system, and it allows users to upload text, images, and audio and for these to be placed into categories. Each of these types of data is managed by a dedicated microservice built on Azure serverless technologies including Azure Functions and Cognitive Services. The web front-end communicates with the microservices through a SignalR-to-Event Grid bridge, allowing for real-time reactive UI updates based on the microservice updates. Each microservice is built and deployed independently using azuredevops build and release management system, and use a variety of Azure-native data storage technologies.The audience will learn the benefits of building the solution applying the principles of Microservices and how the idea of a loosely coupled architecture enables to stay agile and will acquire the knowledge to apply these principles in action using cloud native services from Microsoft
Automating Multi Stage Azure Pipelines
Engineering Teams experience toil in repeating the setup of DevOps pipelines every time a new project kicks-off within their organization. Setting up these pipelines, involve creating build definitions, release definitions, branch policies, control gates, infra as code (ARM templates), just to name a few. Imagine doing this repeatedly for every app being built within an organization. This is considerable effort spent over days.
What if this piece of development effort can be automated? How about the first push into the repository publishes an event that sets off a series of steps, constructing the total development street for your repository. This allows the developers to see their changes in minutes without looking at the nuances of setting up DevOps pipelines for creating dev, test and production infrastructure in azure.
Next to that, the engineering team can focus on topics that creates direct value for their end users.
In this talk we learn how to take advantage of Azure DevOps RESTful APIs to automate the provisioning and updating of multistage Pipelines for every repository created within an Azure DevOps Project.
Application vs Delegated Permissions in Action for Microsoft Graph API
The idea is to illustrate the working model of permission types in Graph API. In this lightning talk we will analyze the token acquisition in each case and demonstrate how to use the right permission type for the given scenario.
What the flip is Kusto Query Language ?
Telemetry data aggregated across Azure Services is very useful in answering key questions that drive product Road map, Engineering Focus, Problem Remediation and helps the Business in understanding user behaviour and Interests. This session will focus on the capabilities of Application Insights and how Kusto Query Language can be leveraged to naturally interact with the Azure Monitoring Platform to derive Insights that are of Business Value. And Yes, the deck is mostly my Handwritten notes taken throughout my study time
Yo ! What can AKS do for me ?
Why is everyone talking about Kubernetes ? My app just runs fine in azure app service. Also I hear people say say Serverless is the future, so what is the matter with all these big K8 machines ? Now should I quit everything and jump ship to AKS ? I don't know🤨 😐 What do you think ? This is exactly what I thought a year ago. And in this session, I would like to share my learnings in a quest to find those answers
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