Muralidharan Deenathayalan
Engineering Manager, Kovai.co
Coimbatore, India
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I am a software architect with over a decade of experience in architecting and building software solutions. I have a strong track record of success in delivering high-quality, scalable, and secure software. I am currently working on a project to build a product for customer success managers using artificial intelligence and Microsoft Stack.
I am specialized in content management (CMS) technologies, including SharePoint and Alfresco. I am also an active participant in the tech community, and I regularly attend conferences and training sessions to stay up-to-date on the latest technology trends.
I am a strong believer in the power of positive thinking in the workplace, and I am always looking for ways to mentor and support my colleagues.
You can find some of my valuable answers and questions on the Power Platform, Alfresco, and StackOverflow forums.
I am a curious and adventurous person who enjoys long drives and exploring new places. I am also fascinated by aquariums and love to visit them whenever I travel.
Area of Expertise
Topics
Create a custom PDF Connectors with Azure Functions and Power Platform: It's Easier Than You Think!
Remote work and automation technology are transforming the way we work, especially in the area of workflow approval processes. These processes are essential in all organizations of all sizes, and automating them can reduce reliance on paper-based approvals and improve efficiency.
Generating PDF documents as part of the audit trail is important during the approval process. This can be done using Adobe Acrobat or other PDF tools like Plumsail, but these tools can be expensive.
Azure Functions is a quick and cost-effective way to generate PDF documents on demand using open-source PDF toolkits like PDFTK. Azure Functions can be exposed as an API, which allows developers to create custom PDF connectors that can be consumed in Power Platform and Logic Apps.
In this session, we will develop a live PDF connector and consume it in Power Platform and Logic Apps.
What, why and how with Azure Chaos Studio !
I am proud to introduce Azure Chaos Studio, the first service of its kind that helps you to perform fault injection on your azure resources (we are talking about network, storage, compute, deployment…) in a safe and controlled way. Imagine the ability to control which faults happen how often and which resources are affected. That's what Azure Chaos Studio does!
You can use Azure Chaos Studio to find and fix potential issues in your Azure environment by injecting controlled faults into your resource, such as disabling a virtual machine or deleting a website. In this way, you can identify weaknesses before the real crisis happens.
Azure Chaos Studio provides a complete automated framework with pre-built functionalities to orchestrate controlled faults, analyse the resilience of your resources, and detect if your deployment is meeting its service level commitments.
In this session, I will show you how Azure Chaos Studio lets you better understand the resiliency of your cloud solutions by balancing risk with reward. You will learn about the range of benefits that Azure Portal can provide when performing chaos experiments.
Twitter Sentiment Analysis using Azure Stream Analytics
In this session, you will learn about sentiment analysis, a new market research method that relies on tweets to understand people's feelings, emotions and attitudes towards a product or brand using Azure Stream Analytics.
Sentiment Analysis is widely used for analyzing opinions, views and conversations on particular topics. Use Twitter Sentiment Analysis for understanding insights from different tweets and get qualitative data. Get up-to-date information on sentiments and trends to make better decisions.
Implementing Dependency Injection (DI) on Azure Functions
Azure Functions supports the dependency injection (DI) software design pattern, which is a technique to achieve Inversion of Control (IoC) between classes and their dependencies. Dependency injection in Azure Functions is built on the .NET Core Dependency Injection features.
In today's session, we will build a simple Azure Function with Dependency Injection.
What is Jupyter Notebooks and why I should care about it?
Jupyter Notebooks is a open source tool and heavily used to develop and execute ML code in the browser or VS code(via extension). Any Jupyter Notebooks document can contain text, images, computational inputs and outputs. In this we will see, how Jupyter Notebooks helps ML developer in Azure Machine Learning environments.
What Azure Data Studio, notebook SQL and why I should care about it?
What is Azure Data Studio,SQL Notebook and why I should care about it?
On November 15, 2017 Microsoft launched a new tool called Azure Data Studio to run on-demand SQL queries, view and save results as text, JSON, or Excel.
ADS (Azure Data Studio) is a cross-platform database tool to manage on-premises and cloud data platforms on Windows, MacOS, and Linux.
ADS provides rich, modern editor experience with IntelliSense, code snippets, source control integration, and an integrated terminal.
It designed mainly for data platform users in mind and it has built in visualization of query result sets.
ADS is not a replacement for SSMS and both has different features and options.
Lets quickly compare the features of SSMS and ADS.
What is Jupyter notebooks and what is the use of it?
What is notebook SQL and it useful in Azure Data Studio?
Introduction and Hands on experience with Azure Stream Analytics
Azure Stream Analytics is a real-time analytics and complex event-processing engine that is designed to analyze and process high volumes of fast streaming data from multiple sources simultaneously.
Patterns and relationships can be identified in information extracted from a number of input sources including devices, sensors, clickstreams, social media feeds, and applications.
These patterns can be used to trigger actions and initiate workflows such as creating alerts, feeding information to a reporting tool, or storing transformed data for later use.
Also, Stream Analytics is available on Azure IoT Edge runtime, and supports the same exact language or syntax as cloud.
There are multiple ways where you can create and configure Azure Stream Analytics job.
* Create a job - Azure portal
* Create a job - Visual Studio
* Create a job - Visual Studio Code
* Create a job - PowerShell
In this session, let's create and configure Azure Stream Analytics job using Azure Portal and Visual Studio.
Develop Azure Dashboards using Azure Monitor and KQL
Azure Monitor (AM) helps us to find the availability and the performance of our applications and services. Using Azure monitor we can collect, analyze and act on telemetry on both cloud and on-premises environments. Azure monitor collects the data in two different ways, metrics and logs. Metric data can be explored via Metric explorer and log data can be queried via Kusto Query Language (KQL). In this session we will see, how we can collect the data, analyze the data using KQL and develop insights and pin them into Azure Dashboard.
Hands on with No-code Automated Machine Learning
Automated Machine Learning(AutoML) is the process of automating time taking / consuming repeated tasks on ML development. This allows the developer to save their time and increases the productivity and quality of the ML models. In this session, I will demonstrate how AutoML helps for AI developers to build their model easily and quickly.
Muralidharan Deenathayalan
Engineering Manager, Kovai.co
Coimbatore, India
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