Slides from the talk presented at the Serverless Singapore user group on 19th November 2020. The talk covers different services in Azure which support serverless capabilities.
Youtube video link: https://youtu.be/9xFW626Zaow
Building cloud native apps with .net core 3.0 and kubernetesNilesh Gule
Slide deck of the demo for Dotnet Conf Singapore 2019 event. the talk demonstrated new features in .Net core for building Cloud native applications including Health endpoints, worker services and configuration support for Kubernetes
Event driven workloads on Kubernetes with KEDANilesh Gule
Slide deck of the presentation done at the Pune User Group on 27th February 2021. Demonstrate how Kubernetes based event driven autoscaling (KEDA) can be used with RabbitMQ as the event source.
Slidedeck is related to the presentation done for Azure Singapore user group about Monitoring Kubernetes with Prometheus and Grafana on 19 August 2021.
Covered Prometheus Architecture, installation using Prometheus operator, Service Monitor, Pod Monitor, Alert rules. Live demo included Prometheus and Grafana integrations for Spring Boot and .Net Core application. Monitoring for infrastructure / messaging platforms using RabbitMQ is also covered.
Youtube video recording - https://youtu.be/t8uenUoI4Mw
https://www.meetup.com/en-AU/mssgug/events/279925499
Serverless Event Driven Containers with KEDANilesh Gule
Slides from the OSSDays conference (https://ossdays.konfhub.com/). The session demonstrated the power of Kubernetes based Event Driven Autoscaling (KEDA) to scale RabbitMQ consumer into serverless Azure Container Instances (ACI) .
Slides of the session presented at Dear Azure user group on 25th October. The session covered Docker basics, working with SQL Server 2017 & 2019 in Linux containers, containerizing the .Net Core application. Also demonstrated the options for deploying containers to Azure using Web Apps, Serverless Azure Container Instances and Azure Kubernetes Service (AKS).
The document discusses Apache Spark, a unified analytics engine for large-scale data processing. It introduces .Net for Apache Spark, which provides .Net language bindings for Spark. It also mentions using the MovieLens dataset with Spark on Azure Synapse Analytics. Key components of Spark include RDDs, DataFrames, SparkSession, and transformations/actions. The document provides an overview of Spark and demonstrates it through a movie recommendation example on Azure Synapse Analytics.
Scaling .net containers with event driven workloadsNilesh Gule
Slide deck related to the talk presented at Surati Tech Talks 2022 event on 10th January 2022. Demonstrates the power of Kubernetes along with Kubernetes-based Event Driven Autoscaing (KEDA) project to support event driven workloads. Microsft Azure is used as the cloud platform with managed Azure Kubernetes Service (AKS) as target environment
Building cloud native apps with .net core 3.0 and kubernetesNilesh Gule
Slide deck of the demo for Dotnet Conf Singapore 2019 event. the talk demonstrated new features in .Net core for building Cloud native applications including Health endpoints, worker services and configuration support for Kubernetes
Event driven workloads on Kubernetes with KEDANilesh Gule
Slide deck of the presentation done at the Pune User Group on 27th February 2021. Demonstrate how Kubernetes based event driven autoscaling (KEDA) can be used with RabbitMQ as the event source.
Slidedeck is related to the presentation done for Azure Singapore user group about Monitoring Kubernetes with Prometheus and Grafana on 19 August 2021.
Covered Prometheus Architecture, installation using Prometheus operator, Service Monitor, Pod Monitor, Alert rules. Live demo included Prometheus and Grafana integrations for Spring Boot and .Net Core application. Monitoring for infrastructure / messaging platforms using RabbitMQ is also covered.
Youtube video recording - https://youtu.be/t8uenUoI4Mw
https://www.meetup.com/en-AU/mssgug/events/279925499
Serverless Event Driven Containers with KEDANilesh Gule
Slides from the OSSDays conference (https://ossdays.konfhub.com/). The session demonstrated the power of Kubernetes based Event Driven Autoscaling (KEDA) to scale RabbitMQ consumer into serverless Azure Container Instances (ACI) .
Slides of the session presented at Dear Azure user group on 25th October. The session covered Docker basics, working with SQL Server 2017 & 2019 in Linux containers, containerizing the .Net Core application. Also demonstrated the options for deploying containers to Azure using Web Apps, Serverless Azure Container Instances and Azure Kubernetes Service (AKS).
The document discusses Apache Spark, a unified analytics engine for large-scale data processing. It introduces .Net for Apache Spark, which provides .Net language bindings for Spark. It also mentions using the MovieLens dataset with Spark on Azure Synapse Analytics. Key components of Spark include RDDs, DataFrames, SparkSession, and transformations/actions. The document provides an overview of Spark and demonstrates it through a movie recommendation example on Azure Synapse Analytics.
Scaling .net containers with event driven workloadsNilesh Gule
Slide deck related to the talk presented at Surati Tech Talks 2022 event on 10th January 2022. Demonstrates the power of Kubernetes along with Kubernetes-based Event Driven Autoscaing (KEDA) project to support event driven workloads. Microsft Azure is used as the cloud platform with managed Azure Kubernetes Service (AKS) as target environment
The slide deck of the presentation for Global Azure Bootcamp on 27th April 2019. The talk covers approaches to build resilient Microservices and deploying them to AKS. Along with code based approach with Polly, Istio Service Mesh is also covered during the session. Istio helps in adding features without making any code changes.
Improve monitoring and observability for kubernetes with oss toolsNilesh Gule
Slide deck from the ASEAN Cloud Summit meetup on 27 January 2022. The session cover the following topics
1 - Centralized Loggin with Elasticsearch, Fluentbit and Kibana
2 - Monitoring and Alerting with Prometheus and Grafana
3 - Exception aggregation with Sentry
The live demo showcased these aspects using Azure Kubernetes Service (AKS)
Slide deck related to the Microsoft Reactor Benagluru event on September 1 2021.
https://www.meetup.com/en-AU/microsoft-reactor-bengaluru/events/280353882
During the session following topics were covered
- Scaling options in Kubernetes including HPA, Cluster Autoscaler, Manual scaling
- Need for Kubernetes based Event Driven Autoscaling (KEDA)
- Live demos of Producer and Consumer for RabbitMQ queue
- KEDA Architecture
- KEDA scalers and event sources
Improve Monitoring and Observability for Kubernetes with OSS toolsNilesh Gule
Deck used for the Surati Tech Talks 2022 event on 11 January. The demo covers end to end Monitoring and Observability for Kubernetes using Elasticsearch, Fluentbit and Kibana for log aggregation, Prometheus & Grafana for Monitoring & Alerting and Sentry for Exception handling. The target environment is Azure Kubernetes Service (AKS) cluster.
SLide deck from the presentation done at the PD Tech Fest event in Manila on 10th August 2019. The talk demonstrated the use of Kubernates-based Event Driven Autoscaling (KEDA) features. The demo shows how to scale RabbitMQ consumer based on the number of messages in a queue.
Autoscaling containers with event driven workloadsNilesh Gule
Slides from the session conducted for Azure Developer Community on 29th January 2022 (https://reskilll.com/event/autoscalecontainers). The live dem showcased capabilities of Kubernetes-based Event Driven Autoscaling (KEDA) project to scale .net core containers based on messages in the RabbitMQ.
This document discusses Kubernetes event-driven autoscaling (KEDA) which allows deployments to scale based on external events rather than resource metrics. KEDA monitors event sources like queues and scales the workload by modifying the horizontal pod autoscaler. It supports scaling deployments from zero replicas and scaling batch jobs. Real-world examples of using KEDA include scaling game workload for events and processing messages from queues in batches.
Prometheus is a popular open source metric monitoring solution and Azure Monitor provides a seamless onboarding experience to collect Prometheus metrics. Learn how to configure scraping of Prometheus metrics with Azure Monitor for containers running in AKS cluster.
Slide deck of the presentation done at Credit Agricole Corporate and Investment Bank demonstrating KEDA capabilities. The talk focused on different options for scaling in Kubernetes cluster. The demo covered the auto scaling options based on events using KEDA project.
AWS Community Day Bangkok 2019 - How AWS Parallel Cluster can accelerate high...AWS User Group - Thailand
(1) AWS Parallel Cluster can accelerate high performance scientific computing by providing flexible compute clusters in AWS that are optimized for HPC workloads.
(2) Case studies show how computational chemistry and deep learning for drug discovery benefit from HPC resources for tasks like molecular simulations and property predictions.
(3) AWS offers compute instances, storage, networking and other services for building HPC clusters, along with tools like Parallel Cluster that simplify setup and management of these clusters for scientific applications.
Improve monitoring and observability for kubernetes with oss toolsNilesh Gule
Slide deck from the Azure Community Conference (https://azconf.dev/) presented on 29th October 2021. The session covered following topics
- Need for centralized logging
- Using ElasticSearch, Fluentd and Kibana (EFK) with Kubernetes
- Need for monitoring
- Using Prometheus & Grafana for infrastructure, application and third party services
- Integration of application with Sentry for Exception aggregation
Kubernetes is a system for orchestrating containerized workloads and services across many nodes that provides tools for managing replication, scaling, and state. KEDA allows Kubernetes to automatically scale function apps in response to events from sources like message queues or serverless triggers by integrating with functions running as pods and scaling them based on metrics and triggers. KEDA is useful for running serverless functions on Kubernetes in environments like on-premises, at the edge, or alongside other Kubernetes workloads where full control over scaling is needed.
NDC London 2021 - Application Autoscaling Made Easy With Kubernetes Event-Dri...Tom Kerkhove
Kubernetes Event-driven Autoscaling (KEDA) provides application autoscaling on Kubernetes using a variety of metric sources. It automatically scales deployments, jobs, and other resources. KEDA supports over 30 built-in scalers for sources like Azure, AWS, Google Cloud, and more. It is cloud-agnostic and focuses on scaling applications without managing the scaling internals. The Azure Functions CLI makes it easy to deploy functions to Kubernetes and automatically configure KEDA for autoscaling. KEDA is an open source project with over 2,800 stars on GitHub and contributions from Microsoft, Red Hat, and other companies.
Promitor is an open source tool that scrapes metrics from Azure Monitor and other sources and makes them available to systems like Prometheus and Graphite. It works by declaring which metrics to collect from which Azure resources. It can also automatically discover resources using criteria like resource tags. The scraper agent queries Azure Monitor and resource discovery to collect metrics from both static and dynamic resources. Promitor supports scraping many Azure services and has over 140 stars on GitHub with growing adoption and downloads. Future plans include new authentication options and adding more Azure service scrapers.
Tu non puoi passare! Policy compliance con OPA Gatekeeper | Niccolò RaspaKCDItaly
Per una buona gestione di un cluster Kubernetes in contesti di produzione è necessaria l’introduzione di policy per validare le risorse create all’interno del cluster.
Application Autoscaling Made Easy with Kubernetes Event-Driven Autoscaling (K...Codit
This document summarizes a presentation about Kubernetes Event-driven Autoscaling (KEDA). KEDA allows applications running on Kubernetes to automatically scale based on external events from services like Azure Event Hubs, Kafka, or Cosmos DB. It provides out-of-the-box and custom scalers to monitor event sources and scale deployments and jobs as needed. KEDA is open source, cloud agnostic, and aims to simplify autoscaling so developers can focus on their applications rather than scaling internals. The presenters demonstrate using KEDA to scale a .NET Core worker based on an Azure Service Bus queue depth.
AZUG Lightning Talk - Application autoscaling on Kubernetes with Kubernetes E...Tom Kerkhove
Kubernetes with Kubernetes Event-driven Autoscaling (KEDA) 1.0 has been released at KubeCon North America 2019.
Let’s have a quick look what it is, how it can helps and where it’s going!
Azure kubernetes service (aks) part 4 - Deploy multi-container app to AKS c...Nilesh Gule
Slidedeck of the presentation done as part of Learning AKS Hands on series. The session covered provisioning of AKS cluster using Azure CLI and Azure portal. The multi container tech talks applications was deployed to the ASK cluster. The persistent state management was handled using Kubernetes Persistence Volumes and Persistent Volume Claims backed by Azure disks.
Top ways to deliver your Spring code to the cloud VMware Tanzu
This document discusses various platform and deployment options for Java applications on Azure, including virtual machines (VMs), containers, and serverless options. It covers tools for provisioning VMs and managing containers, as well as Azure services for databases, storage, graphs and more. Serverless development using Azure Functions is also summarized, along with DevOps tools and resources for Java developers on Azure.
Sajeetharan Sinnathurai is a cloud solution architect with over 10 years of experience as a full stack developer specializing in Angular and Azure. He has made over 10,000 contributions to Stack Overflow and maintains 140 code repositories on StackBlitz. Sinnathurai regularly shares his expertise in developer communities and has received numerous Microsoft certifications and awards for his open source contributions.
The slide deck of the presentation for Global Azure Bootcamp on 27th April 2019. The talk covers approaches to build resilient Microservices and deploying them to AKS. Along with code based approach with Polly, Istio Service Mesh is also covered during the session. Istio helps in adding features without making any code changes.
Improve monitoring and observability for kubernetes with oss toolsNilesh Gule
Slide deck from the ASEAN Cloud Summit meetup on 27 January 2022. The session cover the following topics
1 - Centralized Loggin with Elasticsearch, Fluentbit and Kibana
2 - Monitoring and Alerting with Prometheus and Grafana
3 - Exception aggregation with Sentry
The live demo showcased these aspects using Azure Kubernetes Service (AKS)
Slide deck related to the Microsoft Reactor Benagluru event on September 1 2021.
https://www.meetup.com/en-AU/microsoft-reactor-bengaluru/events/280353882
During the session following topics were covered
- Scaling options in Kubernetes including HPA, Cluster Autoscaler, Manual scaling
- Need for Kubernetes based Event Driven Autoscaling (KEDA)
- Live demos of Producer and Consumer for RabbitMQ queue
- KEDA Architecture
- KEDA scalers and event sources
Improve Monitoring and Observability for Kubernetes with OSS toolsNilesh Gule
Deck used for the Surati Tech Talks 2022 event on 11 January. The demo covers end to end Monitoring and Observability for Kubernetes using Elasticsearch, Fluentbit and Kibana for log aggregation, Prometheus & Grafana for Monitoring & Alerting and Sentry for Exception handling. The target environment is Azure Kubernetes Service (AKS) cluster.
SLide deck from the presentation done at the PD Tech Fest event in Manila on 10th August 2019. The talk demonstrated the use of Kubernates-based Event Driven Autoscaling (KEDA) features. The demo shows how to scale RabbitMQ consumer based on the number of messages in a queue.
Autoscaling containers with event driven workloadsNilesh Gule
Slides from the session conducted for Azure Developer Community on 29th January 2022 (https://reskilll.com/event/autoscalecontainers). The live dem showcased capabilities of Kubernetes-based Event Driven Autoscaling (KEDA) project to scale .net core containers based on messages in the RabbitMQ.
This document discusses Kubernetes event-driven autoscaling (KEDA) which allows deployments to scale based on external events rather than resource metrics. KEDA monitors event sources like queues and scales the workload by modifying the horizontal pod autoscaler. It supports scaling deployments from zero replicas and scaling batch jobs. Real-world examples of using KEDA include scaling game workload for events and processing messages from queues in batches.
Prometheus is a popular open source metric monitoring solution and Azure Monitor provides a seamless onboarding experience to collect Prometheus metrics. Learn how to configure scraping of Prometheus metrics with Azure Monitor for containers running in AKS cluster.
Slide deck of the presentation done at Credit Agricole Corporate and Investment Bank demonstrating KEDA capabilities. The talk focused on different options for scaling in Kubernetes cluster. The demo covered the auto scaling options based on events using KEDA project.
AWS Community Day Bangkok 2019 - How AWS Parallel Cluster can accelerate high...AWS User Group - Thailand
(1) AWS Parallel Cluster can accelerate high performance scientific computing by providing flexible compute clusters in AWS that are optimized for HPC workloads.
(2) Case studies show how computational chemistry and deep learning for drug discovery benefit from HPC resources for tasks like molecular simulations and property predictions.
(3) AWS offers compute instances, storage, networking and other services for building HPC clusters, along with tools like Parallel Cluster that simplify setup and management of these clusters for scientific applications.
Improve monitoring and observability for kubernetes with oss toolsNilesh Gule
Slide deck from the Azure Community Conference (https://azconf.dev/) presented on 29th October 2021. The session covered following topics
- Need for centralized logging
- Using ElasticSearch, Fluentd and Kibana (EFK) with Kubernetes
- Need for monitoring
- Using Prometheus & Grafana for infrastructure, application and third party services
- Integration of application with Sentry for Exception aggregation
Kubernetes is a system for orchestrating containerized workloads and services across many nodes that provides tools for managing replication, scaling, and state. KEDA allows Kubernetes to automatically scale function apps in response to events from sources like message queues or serverless triggers by integrating with functions running as pods and scaling them based on metrics and triggers. KEDA is useful for running serverless functions on Kubernetes in environments like on-premises, at the edge, or alongside other Kubernetes workloads where full control over scaling is needed.
NDC London 2021 - Application Autoscaling Made Easy With Kubernetes Event-Dri...Tom Kerkhove
Kubernetes Event-driven Autoscaling (KEDA) provides application autoscaling on Kubernetes using a variety of metric sources. It automatically scales deployments, jobs, and other resources. KEDA supports over 30 built-in scalers for sources like Azure, AWS, Google Cloud, and more. It is cloud-agnostic and focuses on scaling applications without managing the scaling internals. The Azure Functions CLI makes it easy to deploy functions to Kubernetes and automatically configure KEDA for autoscaling. KEDA is an open source project with over 2,800 stars on GitHub and contributions from Microsoft, Red Hat, and other companies.
Promitor is an open source tool that scrapes metrics from Azure Monitor and other sources and makes them available to systems like Prometheus and Graphite. It works by declaring which metrics to collect from which Azure resources. It can also automatically discover resources using criteria like resource tags. The scraper agent queries Azure Monitor and resource discovery to collect metrics from both static and dynamic resources. Promitor supports scraping many Azure services and has over 140 stars on GitHub with growing adoption and downloads. Future plans include new authentication options and adding more Azure service scrapers.
Tu non puoi passare! Policy compliance con OPA Gatekeeper | Niccolò RaspaKCDItaly
Per una buona gestione di un cluster Kubernetes in contesti di produzione è necessaria l’introduzione di policy per validare le risorse create all’interno del cluster.
Application Autoscaling Made Easy with Kubernetes Event-Driven Autoscaling (K...Codit
This document summarizes a presentation about Kubernetes Event-driven Autoscaling (KEDA). KEDA allows applications running on Kubernetes to automatically scale based on external events from services like Azure Event Hubs, Kafka, or Cosmos DB. It provides out-of-the-box and custom scalers to monitor event sources and scale deployments and jobs as needed. KEDA is open source, cloud agnostic, and aims to simplify autoscaling so developers can focus on their applications rather than scaling internals. The presenters demonstrate using KEDA to scale a .NET Core worker based on an Azure Service Bus queue depth.
AZUG Lightning Talk - Application autoscaling on Kubernetes with Kubernetes E...Tom Kerkhove
Kubernetes with Kubernetes Event-driven Autoscaling (KEDA) 1.0 has been released at KubeCon North America 2019.
Let’s have a quick look what it is, how it can helps and where it’s going!
Azure kubernetes service (aks) part 4 - Deploy multi-container app to AKS c...Nilesh Gule
Slidedeck of the presentation done as part of Learning AKS Hands on series. The session covered provisioning of AKS cluster using Azure CLI and Azure portal. The multi container tech talks applications was deployed to the ASK cluster. The persistent state management was handled using Kubernetes Persistence Volumes and Persistent Volume Claims backed by Azure disks.
Top ways to deliver your Spring code to the cloud VMware Tanzu
This document discusses various platform and deployment options for Java applications on Azure, including virtual machines (VMs), containers, and serverless options. It covers tools for provisioning VMs and managing containers, as well as Azure services for databases, storage, graphs and more. Serverless development using Azure Functions is also summarized, along with DevOps tools and resources for Java developers on Azure.
Sajeetharan Sinnathurai is a cloud solution architect with over 10 years of experience as a full stack developer specializing in Angular and Azure. He has made over 10,000 contributions to Stack Overflow and maintains 140 code repositories on StackBlitz. Sinnathurai regularly shares his expertise in developer communities and has received numerous Microsoft certifications and awards for his open source contributions.
Looking to build intelligent apps that will get to market faster or create apps by stitching together valuable and complementary functionality from various sources?
Azure serverless helps you quickly build and deploy cloud-scale enterprise applications in Azure leveraging Azure’s key serverless offerings – Functions, Logic Apps, and Event Grid.
Serverless computing is the abstraction of servers, infrastructure, and operating systems. Azure Serverless allows you to focus on building and deploying your code without worrying about managing servers. Once deployed, you can trust Azure to scale your code in real-time as per need, and you pay for only the resources you use.
MongoDB IoT City Tour STUTTGART: The Microsoft Azure Platform for IoTMongoDB
Presented by, Dr Christian Geuer-Pollmann, Senior Technology Evangelist at Microsoft.
The presentation gives a solid overview to the Microsoft Azure platform, with a special emphasis on scenarios for IoT workloads. First, Christian provides an introduction to Microsoft Azure’s IaaS compute and networking infrastructure (i.e. virtual machines, virtual networks, load balancers and HA concepts). The second part of the presentation focuses on higher-order services in Azure, such as relational data bases, machine learning, search, and NoSQL offerings. Last, Christian explains how the Azure Service Bus and the Intelligent Systems Services fit into the overall IoT landscape.
GIDS 2019: Developing Apps with Containers, Functions and Cloud ServicesPatrick Chanezon
The document discusses developer workflows for building cloud applications using containers, functions, and managed cloud services. It presents options for developing applications locally and deploying to the cloud using tools like Docker Desktop, Azure Functions runtime, Azure Dev Spaces, and Telepresence that enable local development and debugging. The document also discusses approaches for packaging and deploying distributed applications using CNAB and Duffle.
The document discusses different cloud computing technologies including IaaS, CaaS, PaaS, and FaaS. IaaS provides virtual machines and infrastructure hosting. CaaS focuses on container platforms like Kubernetes. PaaS offers application platforms like Azure App Service. FaaS enables serverless computing through functions and logic apps that scale to zero. The document then discusses advantages of Kubernetes and containers for portability, density, and rapid scaling of applications.
Hybrid computing Azure with Azure Stack by Atcetera // Azure Multi-CloudKumton Suttiraksiri
This document discusses Azure Hybrid and Azure Stack Hub. It provides an overview of Azure Stack Hub which allows organizations to run Azure services locally in their own datacenter. It describes how Azure Stack Hub provides cloud-inspired infrastructure and IaaS/PaaS capabilities similar to Azure. It also discusses how Azure Stack Hub allows for a unified development experience between Azure public cloud and local private cloud deployments.
This document discusses Microsoft's modern technologies including certifications, .NET, Azure, and Azure DevOps. It provides information on .NET frameworks like ASP.NET and Xamarin for building mobile apps. Azure services covered include compute services like virtual machines and containers, storage services like Blob storage, and database services like Azure SQL Database. Azure solutions discussed are for internet of things, big data analytics, AI/machine learning using services like Azure Machine Learning. The document concludes that cloud skills will be in high demand and certifications can help professionals gain confidence.
This document discusses high performance computing (HPC) on Microsoft Azure. It begins with an overview of the HPC opportunity in the cloud, highlighting how the cloud provides elasticity and scale to accommodate variable computing demands. It then outlines Azure's value proposition for HPC, including its productive, trusted and hybrid capabilities. The document reviews the various HPC resources available on Azure like VMs, GPUs, and Cray supercomputers. It also discusses solutions for HPC like Azure Batch, Azure Machine Learning Compute, Azure CycleCloud and Avere vFXT. Example industry use cases are provided for automotive, financial services, manufacturing, media/entertainment and oil/gas. The summary reiterates that Azure is uniquely positioned
Creating applications that can see, hear, speak or understand using microso...Radu Vunvulea
In this workshop, you will be introduced to the Microsoft Azure Cognitive Services, a range of offerings you can use to infuse intelligence and machine learning into your applications without needing to build the code from scratch. We will cover pre-trained AI APIs, such as computer vision and text analytics, that is accessed by REST protocol. Next, we will dive into Custom AI that uses transfer learning - Microsoft Azure Custom Vision. This enables you to provide a small amount of your own data to train an image classification model. Wrapping the workshop up by building our custom trained AI into an application - using Logic Apps, this technology is ideal for building data pipeline processes that work with your machine learning models.Title: Creating applications that can see, hear, speak or understand - using Microsoft Cognitive Services Workshop Description: In this workshop, you will be introduced to the Microsoft Azure Cognitive Services, a range of offerings you can use to infuse intelligence and machine learning into your applications without needing to build the code from scratch. We will cover pre-trained AI APIs, such as computer vision and text analytics, that is accessed by REST protocol. Next, we will dive into Custom AI that uses transfer learning - Microsoft Azure Custom Vision. This enables you to provide a small amount of your own data to train an image classification model. Wrapping the workshop up by building our custom trained AI into an application - using Logic Apps, this technology is ideal for building data pipeline processes that work with your machine learning models.
The document provides an agenda for an Enterprise Cloud Adoption discussion from 10:15-12:00 led by Fukiat Julnual. It includes links to information about cloud computing on Microsoft Azure and the Azure Architecture Center. The discussion will cover the journey to the cloud, including rehosting, refactoring, rearchitecting, and rebuilding applications. It also includes a demo of the Azure App Service Migration Assistant. Finally, it discusses DevOps practices including continuous delivery, planning and tracking, developing and testing, and monitoring and operations.
The state of containers for your DevOps journeyAgile Montréal
Containers, Containers, Containers! We are hearing about Containers everywhere, what are their key concepts? Why could they simplify your DevOps journey? What are the tools to help you with Containers and orchestratethem? What’s the road ahead with Containers? Let’s talk about that! Through this presentation you will see also how the Cloud and the Open Source tools and communities are driving this Containers adoption. This presentation will be illustrated by demonstrations.
Mathieu Benoit
The breath and depth of Azure products that fall under the AI and ML umbrella can be difficult to follow. In this presentation I’ll first define exactly what AI, ML, and deep learning is, and then go over the various Microsoft AI and ML products and their use cases.
Evangelos Kapsalakis, Partner Specialist at Microsoft, provides valuable insights on Microsoft Azure and its flexibility when it comes to migration deployment. From Cloud Migration Through Automation: Next Level Flexibility virtual event, hosted on September 30, 2020
Tour de France Azure PaaS 2/7 Exécuter une applicationAlex Danvy
Il existe de nombreuses possibilités pour exécuter une application ou du code dans Azure. Nous examinerons les différentes options afin de les positionner les unes par rapport aux autres : Machines virtuelles, conteneurs, services, serverless.
This document provides an overview of Azure Kubernetes Service (AKS) and containers on Azure.
It discusses how AKS simplifies deployment, management, and operations of Kubernetes. With AKS, users can scale and run applications with confidence while securing their Kubernetes environment. It also accelerates containerized application development by allowing users to work with open source tools and APIs.
The document then covers common scenarios for using AKS like microservices, machine learning, and IoT. It also discusses how customers like Maersk, OpenAI, Xerox, and Nobel Media have benefited from using AKS and containers on Azure.
Let's talk about the different services available in Microsoft Azure. This talk was presented at Microsoft AI Future Now Event 2018 at Singapore on 7th November 2018
This document provides an overview of Microsoft Azure cloud services and platforms for modern business. It discusses how Azure allows businesses to rapidly setup environments, scale infrastructure to meet demands, and increase efficiency at a reduced cost compared to on-premises solutions. The document highlights key Azure services including compute, storage, databases, analytics, networking, identity management, and applications. It also provides examples of Fortune 500 companies and partners using Azure and demos of the Azure portal.
- Azure updates include new features for machine learning, operations management, cognitive services, virtual machines, SQL, data warehouse, mobile apps, Active Directory, security, and streaming.
- Key updates include improved web services management, OMS security capabilities, new cognitive services APIs, faster GPU virtual machines, increased SQL and data warehouse performance and scale, and single sign-on across apps with Active Directory.
- Updates aim to provide more analytics, security, and automation capabilities across the Azure platform.
Similar to Getting started with Serverless applications on Microsoft Azure (20)
Improve Monitoring And Observability for Kubernetes with OSS tools.pdfNilesh Gule
Slide deck related to the presentation at the KubeDay Singapore event. The session covered 3 pillars of Observability and how to use Jaeger for Distribute Tracing, Loki for Log Aggregation and Prometheus and Grafana for Metrics in a distributed application. Azure Kubernetes Service AKS cluster was used for live demo.
https://events.linuxfoundation.org/kubeday-singapore/
Autoscale applications based on external events with KEDA.pdfNilesh Gule
This document discusses using KEDA to autoscale applications in Kubernetes based on external events. KEDA allows defining scalable objects that can trigger scaling of deployments based on metrics from message brokers like RabbitMQ. The document demonstrates setting up a sample application with a producer and consumer that scales using KEDA in response to messages in a RabbitMQ queue. It provides an overview of KEDA architecture and how scalable objects are configured to link deployments to external metrics for automated scaling.
Slide deck related to the Open Telemetry demo at Singapore Java User Group (JUG). The demo showcased how to use Open Telemetry on local laptop with Docker, Docker Compose and Kubernetes running on single node cluster using Docker Desktop. In the last part of the demo, we highlighted the use of Helm charts and Operators to run OpenTelemetry collector on a managed Kubernetes cluster with Azure Kubernetes Service (AKS).
Build Secure Portable Applications using AKS and its ecosystemNilesh Gule
Slides related to the Global Azure Singapore 2023 talk about building secure and portable applications using AKS and its ecosystem. The demo showcases the integrations with Dapr and KEDA
This document discusses containerizing a React application using a multistage Dockerfile. It builds the React app using npm commands in a Node base image, then uses a multistage Docker build with separate build and run stages, with the build stage using the Node base image and run stage using an Nginx base image. Finally, it publishes the container images to Docker Hub.
Modular Architecturs for resilience and Adaptability.pdfNilesh Gule
Slidedeck related to the session on Modular Architectures for Resilience and Adaptability at he APIDays Singapore event
The video recording of the talk is available on YouTube
https://youtu.be/ILU0VdaxxNQ
Modular Architecturs for resilience and Adaptability.pdfNilesh Gule
Slide deck for the APIDays Singapore talk on Modular Architecture for Resilience and Adaptability. https://www.apidays.global/singapore/
The session covered different means by which we can architect modern applications and services for resilience and adaptability
Cloud Native Ninja - PT7 - Containerize Go apps.pdfNilesh Gule
Slide deck related to YouTube video on how to containerize or Dokcerize Go Applications. https://youtu.be/6ji4biaYx98
Covers the following topics:
- Integrate with Dapr Go SDK
- Build Go app using Go build tools
- Containerize Go App using multistage Dockerfile
- Build Container image using Docker build
- Use Docker Compose to build multi-container images
- Publish multiple container images using Docker Compose
- Run container images locally with Docker Run
Slide deck related to YouTube video on how to containerize or Dokcerize Spring Boot Applications. https://youtu.be/c9L89T8BkZ4
Covers the following topics:
- Generate Spring Boot App using Spring initializer
- Build Spring Boot app using Maven build
- Containerize Spring Boot App using multistage Dockerfile
- Build Container image using Docker build
- Use Docker Compose to build multi-container images
- Publish multiple container images using Docker Compose
- Run container images locally with Docker Run
Portable Multi-cloud Microservices with Dapr .pdfNilesh Gule
Slide deck related to the presentation and live demo for Devtron webinar.
https://www.linkedin.com/video/event/urn:li:ugcPost:7031191867178303488
The session demonstrated how Distributed Application Runtime or Dapr can be used to build and deploy portable microservices which can be deployed to multi-cloud environments.
Portable Multi-cloud Microservices with Dapr .pdfNilesh Gule
Slide deck related to the Power Platform Bootcamp Manila 2023. The demo showcased how to build portable multi-cloud microservices with Distributed Application Runtime Dapr. RabbitMQ is used as a message broker and Azure Kubernetes service (AKS) cluster is used for deployment.
This document discusses containerizing .NET apps using Docker. It covers creating Dockerfiles with multi-stage builds to reduce image sizes, running containerized apps in both interactive and detached modes, and resources for learning more about containerizing apps. The key topics are using Dockerfile to package apps and dependencies, employing multi-stage builds and optimized base images to minimize image sizes, and configuring container runs with flags like ports, environment variables and image names.
Cloud Native Ninja - Distributed Microservices with Dapr - part 2.pdfNilesh Gule
Slidedeck related to Part 2 of the Cloud Native Ninja series. This video https://youtu.be/ep_IJ9d0Nqw talks about building distributed microservices using Dapr
Salesforce Integration for Bonterra Impact Management (fka Social Solutions A...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on integration of Salesforce with Bonterra Impact Management.
Interested in deploying an integration with Salesforce for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Digital Marketing Trends in 2024 | Guide for Staying AheadWask
https://www.wask.co/ebooks/digital-marketing-trends-in-2024
Feeling lost in the digital marketing whirlwind of 2024? Technology is changing, consumer habits are evolving, and staying ahead of the curve feels like a never-ending pursuit. This e-book is your compass. Dive into actionable insights to handle the complexities of modern marketing. From hyper-personalization to the power of user-generated content, learn how to build long-term relationships with your audience and unlock the secrets to success in the ever-shifting digital landscape.
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
Fueling AI with Great Data with Airbyte WebinarZilliz
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
Ocean lotus Threat actors project by John Sitima 2024 (1).pptxSitimaJohn
Ocean Lotus cyber threat actors represent a sophisticated, persistent, and politically motivated group that poses a significant risk to organizations and individuals in the Southeast Asian region. Their continuous evolution and adaptability underscore the need for robust cybersecurity measures and international cooperation to identify and mitigate the threats posed by such advanced persistent threat groups.
Webinar: Designing a schema for a Data WarehouseFederico Razzoli
Are you new to data warehouses (DWH)? Do you need to check whether your data warehouse follows the best practices for a good design? In both cases, this webinar is for you.
A data warehouse is a central relational database that contains all measurements about a business or an organisation. This data comes from a variety of heterogeneous data sources, which includes databases of any type that back the applications used by the company, data files exported by some applications, or APIs provided by internal or external services.
But designing a data warehouse correctly is a hard task, which requires gathering information about the business processes that need to be analysed in the first place. These processes must be translated into so-called star schemas, which means, denormalised databases where each table represents a dimension or facts.
We will discuss these topics:
- How to gather information about a business;
- Understanding dictionaries and how to identify business entities;
- Dimensions and facts;
- Setting a table granularity;
- Types of facts;
- Types of dimensions;
- Snowflakes and how to avoid them;
- Expanding existing dimensions and facts.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
GraphRAG for Life Science to increase LLM accuracyTomaz Bratanic
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
Main news related to the CCS TSI 2023 (2023/1695)Jakub Marek
An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers.
The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
5th LF Energy Power Grid Model Meet-up SlidesDanBrown980551
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
Generating privacy-protected synthetic data using Secludy and MilvusZilliz
During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.
AI 101: An Introduction to the Basics and Impact of Artificial IntelligenceIndexBug
Imagine a world where machines not only perform tasks but also learn, adapt, and make decisions. This is the promise of Artificial Intelligence (AI), a technology that's not just enhancing our lives but revolutionizing entire industries.
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?Speck&Tech
ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune.
Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).
Taking AI to the Next Level in Manufacturing.pdfssuserfac0301
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
6. Azure Serverless – Compute
Elastically provision pods inside Azure Container
Instances (ACI)
AKS virtual Node built on top of open source virtual
Kubelet project
KEDA – Add event-driven capabilities by processing
events from event sources with ability to scale to
zero
Event-driven compute with support for multiple
languages (C#, Java, Python, JavaScript, PowerShell)
Pay only for the time code is executed
Functions runtime is open-source
Deploy on Kubernetes, Azure IoT Edge, on-prem
and also in other clouds
Run and scale web, mobile and API applications
High productivity, fully managed environment
7. Azure Function - Scenarios
Credits: aka.ms/AFUN95 – Frank Boucher
8. Azure Functions - Scenarios
r PPr
Cr
Credits: aka.ms/AFUN95 – Frank Boucher
15. Azure Serverless – AI & ML
Enables apps to see, hear, speak, understand and
interpret user needs through natural methods of
communication – Azure Cognitive Services
Use APIs, or deploy using containers on Kubernetes
Intelligent bots – Azure Bot Service
Interact naturally using channels (text / SMS, Skype,
Microsoft Teams, Slack, Office 365, Twitter etc.)
Build, train, deploy models on Azure Machine
Learning
Supports cloud as well as edge
16. Azure Serverless – Databases
Optimize price-performance, simplify performance
management
Automatically scale compute based on workload
demand
Pay only for compute used per second
Automatically pause database, pay only for storage
during inactive period
Automatically updated, built-in high availability,
security & performance with ML
Globally distributed, massively scalable, multi-model
database service
18. Azure Serverless – Storage
Static web applications on Azure Blob storage
Massively scalable storage for unstructured data
Leverage storage events to respond to operations
on blobs
Push blob events through Event Grid to subscribers
using Functions, Logic Apps, or custom HTTP
Listerner
19. Azure Serverless – Monitoring and Analytics
Azure Monitor – extensible application performance
management service to monitor applications
Collect, analyze and act on telemetry from cloud and
on-premise environments
Maximize availability and performance of apps
Azure Stream Analytics - Massively parallel real-time
analytics on multiple streams of data
Process data on demand, scale instantly, pay per job
Integrates with Power BI for real time dashboards
21. Scale RabbitMQ Consumer with Virtual Node
kedaVNet
kedaAKSSubnet kedaVirtualNodeSubnet
Producer -
.Net Core
API
Consumers
- .Net Core
exe
22. Azure serverless platform components
Local
development
Monitoring
IDE support
Integrated
DevOps
Visual debug
history
</>
Credits: aka.ms/AFUN95 – Frank Boucher
23. Summary
• Offers multiple options across compute, database, storage , messaging etc. for
serverless capabilities
• Increase developer productivity
• freeing developers from infrastructure provisioning and management
• Build & deploy faster using APIs, low-code / no-code services and ready-to-use machine learning and cognitive models
• Boost team performance
• Improves agility with fully managed platform to build, deploy & operate applications
• Supports hybrid, cloud and edge environments
• Proactively manage applications with intelligent monitoring and analysis tools
• Improve organizational impact
• Accelerate time to market with innovation and new revenue opportunities
• Reduce infrastructure total cost of ownership
• Minimize risk with intelligent security management and advanced threat protection
Azure Serverless
24. Azure Serverless
Azure SQL Database
Azure Functions
Azure Functions scale and hosting
Choosing right integration and automation service
Azure Architecture Centre
KEDA
25. MS Learn – Create
serverless application
References
Credits: aka.ms/AFUN95 – Frank Boucher
26. Scalable e-commerce
web app
Reference Architecture
https://docs.microsoft.com/en-
us/azure/architecture/solution-ideas/articles/scalable-
ecommerce-web-app
27. Bursting from AKS to
ACI
Reference Architecture
https://docs.microsoft.com/en-
us/azure/architecture/solution-ideas/articles/scale-using-
aks-with-aci
29. Thank you very much
Code with Passion and Strive for Excellence
https://www.slideshare.net/nileshgule/presentations
https://speakerdeck.com/nileshgule/
30. Nilesh Gule
ARCHITECT | MICROSOFT MVP
“Code with Passion and
Strive for Excellence”
nileshgule @nileshgule Nilesh Gule
NileshGule
www.handsonarchitect.com