In this session, we will understand how to create your first pipeline and build an environment to restore dependencies and how to run tests in Azure DevOps followed by building an image and pushing it to container registry.
Imagine a scenario, where you can launch a video call or chat with an advisor, agent, or clinician in just one-click. We will explore application patterns that will enable you to write event-driven, resilient and highly scalable applications with Functions that too with power of engaging communication experience at scale. During the session, we will go through the use case along with code walkthrough and demonstration.
In this session, we will discuss a use case where we need to quickly develop web and mobile front end applications which are using several different frameworks, hosting options, and complex integrations between systems under the hood. Let’s see how we can leverage serverless technologies (Azure Functions and logic apps) and Low Code/No code platform to achieve the goal. During the session we will go though the code followed by a demonstration.
In this session, we will explore how to deploy .net core web apps in azure Kubernetes service using azure DevOps starter and Azure DevOps.
Presented as part of Cloud Community Days on 19th June - ccdays.konfhub.com
Here is a slidedeck for the training offerings from CodeOps Technologies. Interested in organizing a training in your organization? Contact us at: [email protected]
Let’s dive into the world of serverless and give you real world examples of how to get started. We will focus on Azure Functions in Java and discuss how to provision, deploy and test them in a productive environment. In my demos we will see the ease of local development leveraging from the great integration in Visual Studio Code. Finally, let’s ship our samples and scale them in Azure. If you are tired of server maintenance and want to achieve more with your java functions , don’t miss this session.
It is difficult to deploy interloop Kubernetes development in current state. Know these open-source projects that can save us from the burden of various tools and help in deploying microservices on Kubernetes cluster without saving secrets in a file.
Shift Remote AI: Build and deploy PyTorch Models with Azure Machine Learning ...Shift Conference
Take a deep look into Azure Machine Learning, a cloud service that helps you build, train, deploy, and manage models. Walk through the data science process and then have some fun creating a ML recognition model based on the Simpsons cartoon with PyTorch. You'll leave this session with a better grasp of the technological components of Azure Machine Learning services.
CREATING REAL TIME DASHBOARD WITH BLAZOR, AZURE FUNCTION COSMOS DB AN AZURE S...CodeOps Technologies LLP
In this talk people will get to know how we can use change feed feature of Cosmos DB and use azure functions and signal or service to develop a real time dashboard system
Building Deploying and Managing Microservices-based Applications with Azure P...CodeOps Technologies LLP
This presentation covers:
* Setup AKS cluster on Azure
* Deploy a sample microservice-based highly available and scalable app to the cluster
* Set up Azure pipeline for CI and CD
* Automate deployment of the application on Git commit to AKS cluster
Presented as part of Cloud Community Days - 19 June - ccdays.konfhub.com
Slow applications are no fun. Application performance monitoring (APM) makes tracking down issues problems much easier. But which tools should you use? Join this session to know how to build a microservice using Java and containerize it to deploy it on Azure.
Serverless compute with Azure Functions abstracts away infrastructure management and allows developers to focus on writing code for triggered operations. Azure Functions supports bindings to data sources and services that avoid writing boilerplate integration code, and can be deployed and managed via the Azure Functions runtime, CLI tools, templates and samples on GitHub.
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.
In this talk, we will start with some introduction to Azure Functions, its triggers and bindings. Later we will build a serverless solution to solve a problem statement by using different triggers and bindings of Azure Functions.
Language to be used: C# and IDE - Visual Studio 2019 Community Edition"
In this workshop, you will understand how Azure DevOps Services helps you scale DevOps adoption strategies in enterprise. We will explore various feature and services that can enable you to implement various DevOps practices starting from planning, version control, CI & CD , Dependency Management and Test planning.
The document discusses serverless computing and Azure Functions. It provides an overview of Azure Functions, including how Functions are triggered by events and have input and output bindings. A variety of examples are given showing how Functions can be used for tasks like processing events from Azure services, building serverless applications, and building real-time systems using streams and bots. Best practices for serverless applications are outlined, focusing on stateless backends, asynchronous processing, and developing entirely in the cloud. Links are also provided to try Azure Functions and App Service.
This presentation is from the Integration Day event, a TechMeet360 Community Initiative, held on September 10, 2016 at Microsoft GSTC in Bangalore. In this slide, Microsoft's Escalation Engineers Tulika Chaudharie and Harikharan Krishnaraju explain using Azure Functions for Integration. The presentation starts with a general overview of Azure Functions and then it moves on to some of the common Integration Patterns and how Azure Functions fit into the scenarios.
The document discusses serverless computing and introduces Microsoft Azure Functions as a serverless platform, highlighting how Functions allows developers to write code that runs in response to events using triggers and bindings to integrate with other Azure services, and provides examples of common serverless patterns that can be implemented using Functions.
When it comes to microservice architecture, sometimes all you wanted is to perform cross cutting concerns ( logging, authentication , caching, CORS, Routing, load balancing , exception handling , tracing, resiliency etc..) and also there might be a scenario where you wanted to perform certain manipulations on your request payload before hitting into your actual handler. And this should not be a repetitive code in each of the services , so all you might need is a single place to orchestrate all these concerns and that is where Middleware comes into the picture. In the demo I will be covering how to orchestrate these cross cutting concerns by using Azure functions as a Serverless model.
Introduction to Azure Functions - TutorialBizTalk360
In this demo heavy session, Yochay Kiriaty, from the Azure product team, will provide an overview of Azure Functions, explain some patterns, and present a lot of demos.
In this session, we will take a deep-dive into the DevOps process that comes with Azure Machine Learning service, a cloud service that you can use to track as you build, train, deploy and manage models. We zoom into how the data science process can be made traceable and deploy the model with Azure DevOps to a Kubernetes cluster.
At the end of this session, you will have a good grasp of the technological building blocks of Azure machine learning services and can bring a machine learning project safely into production.
Serverless Orchestration with Azure Durable FunctionsCallon Campbell
Durable Functions is an open source framework for Azure Functions. It allows you to write long-running orchestration as a single function while maintaining local state. All in code with no JSON schemas or UI designers.
Public v1 real world example of azure functions serverless conf london 2016 Yochay Kiriaty
Yochay Kiriaty gave a presentation on serverless computing using Microsoft Azure services. He began by defining serverless and its benefits like event-driven scaling, sub-second billing, and abstraction of servers. He then demonstrated several serverless patterns using Azure Functions for tasks like processing data from Blob storage, responding to API requests, and replicating logs between data centers. Throughout the presentation, he emphasized best practices for building serverless applications including designing functions to do single tasks, finish quickly, be stateless and idempotent.
Azure Functions: Beginners to Advanced – Part 1BizTalk360
This is going to be a multi part series in which we will start from the basics to advanced concepts in Azure Function. The objective of this series is to provide one-stop place for the community to start learning about Azure Functions, from basic to some of the advanced concepts and feel comfortable to start working with Azure Functions. In this part of the series, we are going to set the basics firm. Covering concepts like
What is Azure Functions?
Serverless Computing
How to try Azure Functions without MSDN Subscription
Anatomy of Azure Functions
How to author Azure Function in Azure Portal and in Visual Studio
Pricing details of Azure Function
Demos from hello World to Using Azure Functions in Logic Apps and more
This document discusses the DevOps philosophy and how it can increase producibility. It defines DevOps as combining cultural philosophies, practices, and tools to increase an organization's ability to deliver applications and services at high velocity. Key aspects of DevOps include breaking down silos between development, QA, security and operations teams; continuous integration and delivery pipelines; automation; and real-time feedback to enable rapid, reliable, and secure delivery of updates. Many DevOps tools are available as managed services on AWS, including CodeCommit, CodeBuild, CodeDeploy, CodePipeline, CloudFormation, and CodeStar, which can help implement DevOps practices.
This document provides an overview of ASP.NET Core and instructions for setting up an ASP.NET Core project with Angular 2 and PrimeNG. It discusses .NET Core as a cross-platform, open-source, and modular framework. It then provides steps for installing prerequisites and creating an ASP.NET Core project on Windows, MacOS and Linux. It also covers adding Angular 2 and PrimeNG functionality and integrating them with the ASP.NET Core project.
Beer City Code 2024 - Configurable Cloud Native Applications with .NET AspireBrian McKeiver
Building apps for the cloud has always been hard. Developers are typically pulled away from writing their business logic and what matters most to deal with the complexity of the cloud.
To help simplify cloud app complexity, Microsoft has introduced .NET Aspire. It includes a curated set of components that make sense to use in your C# projects.
.NET Aspire makes it easy to discover, acquire, and configure essential dependencies for cloud-native apps from the very beginning of your project.
Join me to walk through the set-up and usage of this new, powerful tool that can make any .NET developer more efficient in delivering cloud-native applications.
"How to create an infrastructure in .NET", Leonid ChetverikovFwdays
It will be interesting for software engineers who develop cloud applications and want to use infrastructure from code. This session will describe the way we did it in a real project, why we moved from ARM to Pulumi, Pulumi benefits.
Building Deploying and Managing Microservices-based Applications with Azure P...CodeOps Technologies LLP
This presentation covers:
* Setup AKS cluster on Azure
* Deploy a sample microservice-based highly available and scalable app to the cluster
* Set up Azure pipeline for CI and CD
* Automate deployment of the application on Git commit to AKS cluster
Presented as part of Cloud Community Days - 19 June - ccdays.konfhub.com
Slow applications are no fun. Application performance monitoring (APM) makes tracking down issues problems much easier. But which tools should you use? Join this session to know how to build a microservice using Java and containerize it to deploy it on Azure.
Serverless compute with Azure Functions abstracts away infrastructure management and allows developers to focus on writing code for triggered operations. Azure Functions supports bindings to data sources and services that avoid writing boilerplate integration code, and can be deployed and managed via the Azure Functions runtime, CLI tools, templates and samples on GitHub.
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.
In this talk, we will start with some introduction to Azure Functions, its triggers and bindings. Later we will build a serverless solution to solve a problem statement by using different triggers and bindings of Azure Functions.
Language to be used: C# and IDE - Visual Studio 2019 Community Edition"
In this workshop, you will understand how Azure DevOps Services helps you scale DevOps adoption strategies in enterprise. We will explore various feature and services that can enable you to implement various DevOps practices starting from planning, version control, CI & CD , Dependency Management and Test planning.
The document discusses serverless computing and Azure Functions. It provides an overview of Azure Functions, including how Functions are triggered by events and have input and output bindings. A variety of examples are given showing how Functions can be used for tasks like processing events from Azure services, building serverless applications, and building real-time systems using streams and bots. Best practices for serverless applications are outlined, focusing on stateless backends, asynchronous processing, and developing entirely in the cloud. Links are also provided to try Azure Functions and App Service.
This presentation is from the Integration Day event, a TechMeet360 Community Initiative, held on September 10, 2016 at Microsoft GSTC in Bangalore. In this slide, Microsoft's Escalation Engineers Tulika Chaudharie and Harikharan Krishnaraju explain using Azure Functions for Integration. The presentation starts with a general overview of Azure Functions and then it moves on to some of the common Integration Patterns and how Azure Functions fit into the scenarios.
The document discusses serverless computing and introduces Microsoft Azure Functions as a serverless platform, highlighting how Functions allows developers to write code that runs in response to events using triggers and bindings to integrate with other Azure services, and provides examples of common serverless patterns that can be implemented using Functions.
When it comes to microservice architecture, sometimes all you wanted is to perform cross cutting concerns ( logging, authentication , caching, CORS, Routing, load balancing , exception handling , tracing, resiliency etc..) and also there might be a scenario where you wanted to perform certain manipulations on your request payload before hitting into your actual handler. And this should not be a repetitive code in each of the services , so all you might need is a single place to orchestrate all these concerns and that is where Middleware comes into the picture. In the demo I will be covering how to orchestrate these cross cutting concerns by using Azure functions as a Serverless model.
Introduction to Azure Functions - TutorialBizTalk360
In this demo heavy session, Yochay Kiriaty, from the Azure product team, will provide an overview of Azure Functions, explain some patterns, and present a lot of demos.
In this session, we will take a deep-dive into the DevOps process that comes with Azure Machine Learning service, a cloud service that you can use to track as you build, train, deploy and manage models. We zoom into how the data science process can be made traceable and deploy the model with Azure DevOps to a Kubernetes cluster.
At the end of this session, you will have a good grasp of the technological building blocks of Azure machine learning services and can bring a machine learning project safely into production.
Serverless Orchestration with Azure Durable FunctionsCallon Campbell
Durable Functions is an open source framework for Azure Functions. It allows you to write long-running orchestration as a single function while maintaining local state. All in code with no JSON schemas or UI designers.
Public v1 real world example of azure functions serverless conf london 2016 Yochay Kiriaty
Yochay Kiriaty gave a presentation on serverless computing using Microsoft Azure services. He began by defining serverless and its benefits like event-driven scaling, sub-second billing, and abstraction of servers. He then demonstrated several serverless patterns using Azure Functions for tasks like processing data from Blob storage, responding to API requests, and replicating logs between data centers. Throughout the presentation, he emphasized best practices for building serverless applications including designing functions to do single tasks, finish quickly, be stateless and idempotent.
Azure Functions: Beginners to Advanced – Part 1BizTalk360
This is going to be a multi part series in which we will start from the basics to advanced concepts in Azure Function. The objective of this series is to provide one-stop place for the community to start learning about Azure Functions, from basic to some of the advanced concepts and feel comfortable to start working with Azure Functions. In this part of the series, we are going to set the basics firm. Covering concepts like
What is Azure Functions?
Serverless Computing
How to try Azure Functions without MSDN Subscription
Anatomy of Azure Functions
How to author Azure Function in Azure Portal and in Visual Studio
Pricing details of Azure Function
Demos from hello World to Using Azure Functions in Logic Apps and more
This document discusses the DevOps philosophy and how it can increase producibility. It defines DevOps as combining cultural philosophies, practices, and tools to increase an organization's ability to deliver applications and services at high velocity. Key aspects of DevOps include breaking down silos between development, QA, security and operations teams; continuous integration and delivery pipelines; automation; and real-time feedback to enable rapid, reliable, and secure delivery of updates. Many DevOps tools are available as managed services on AWS, including CodeCommit, CodeBuild, CodeDeploy, CodePipeline, CloudFormation, and CodeStar, which can help implement DevOps practices.
This document provides an overview of ASP.NET Core and instructions for setting up an ASP.NET Core project with Angular 2 and PrimeNG. It discusses .NET Core as a cross-platform, open-source, and modular framework. It then provides steps for installing prerequisites and creating an ASP.NET Core project on Windows, MacOS and Linux. It also covers adding Angular 2 and PrimeNG functionality and integrating them with the ASP.NET Core project.
Beer City Code 2024 - Configurable Cloud Native Applications with .NET AspireBrian McKeiver
Building apps for the cloud has always been hard. Developers are typically pulled away from writing their business logic and what matters most to deal with the complexity of the cloud.
To help simplify cloud app complexity, Microsoft has introduced .NET Aspire. It includes a curated set of components that make sense to use in your C# projects.
.NET Aspire makes it easy to discover, acquire, and configure essential dependencies for cloud-native apps from the very beginning of your project.
Join me to walk through the set-up and usage of this new, powerful tool that can make any .NET developer more efficient in delivering cloud-native applications.
"How to create an infrastructure in .NET", Leonid ChetverikovFwdays
It will be interesting for software engineers who develop cloud applications and want to use infrastructure from code. This session will describe the way we did it in a real project, why we moved from ARM to Pulumi, Pulumi benefits.
Presentation for Stichting DotNed in 2015:
Microsoft neemt ASP.NET op de schop. Het web applicatie framework uit .NET 1.0 wordt grotendeels herschreven om te voldoen aan de eisen die men tegenwoordig stelt aan het realiseren van een moderne web applicatie. Deze sessie kijken we naar de nieuwe opzet van ASP.NET. We zien hoe Microsoft daarmee een cloud geoptimaliseerd, cross-platform framework creeert, dat zij zelf sneller kunnen laten evolueren door kortere release cycles. Dit alles betekent wel dat ASP.NET anders is geworden. In deze sessie leer je daarom ook wat er is veranderd, hoe je aan de slag gaat en waarom ASP.NET vNext een revolutionaire stap is in Microsoft's framework.
Docker Basics
docker windows authentication
docker visual studio
docker dot net
docker files
docker-compose
docker networking
container
Microsoft containers
Docker has the potential to revolutionize how we build, deliver, support and even design software. But it doesn't have to be a violent revolution. The end goal might be breaking your existing ASP.NET monolith into microservices which run cross-platform on .NET Core, but the first step can be as simple as packaging your whole .Net Framework application as-is into a Docker image and running it as a container.
In this session I'll take an existing ASP.NET WebForms application and package it as a Docker image, which can run in a container on Windows Server 2016 and Windows 10. I'll show you how to run the app and a SQL Server database in Docker containers on Windows, and how to use Docker Compose to define the structure of a distributed application.
Then I'll iteratively add functionality to the app, making use of the Docker platform to modernize the monolith without a full rebuild. I'll take a feature-driven approach and show you how Docker makes it easy to address performance, usability and design issues.
code: https://github.com/FrenchBen/HDC17
Rome .NET Conference is a free online event organized by the DotNetCode Community for developers. The main topic of this year is .NET 8, but many other topics on Microsoft development technologies and products (.NET, ASP.NET, AZURE, DevOps, and more...) are also covered.
Link to the session: https://www.youtube.com/watch?v=D5aJnBLf2pQ
Node.js Development with Apache NetBeansRyan Cuprak
This session covers the basics of developing Node.js applications with NetBeans. NetBeans includes fully integrated support for both JavaScript and Node.js. You’ll get a tour of the features and learn how NetBeans can accelerate your projects. The presentation looks at basic code editing capabilities provided by the IDE, tool integration (npm/Grunt/Bower/Webpack), frameworks such as Express, and debugging capabilities. You’ll see why NetBeans is the best free JavaScript/Node.js IDE.
stackconf 2020 | The path to a Serverless-native era with Kubernetes by Paolo...NETWAYS
Serverless is one of the hottest design patterns in the cloud today, i’ll cover how the Serverless paradigms are changing the way we develop applications and the cloud infrastructures and how to implement Serveless-kind workloads with Kubernetes.
We’ll go through the latest Kubernetes-based serverless technologies, covering the most important aspects including pricing, scalability, observability and best practices
Angular is a complete framework that combines declarative templates, dependency injection, end to end tooling, and integrated best practices in order to solve development challenges. Angular was completely rewritten from its predecessor AngularJS and allows developers to build their applications on web or mobile.
Matthew Gardner explains how to setup a simple Angular app, diving into some of the concepts behind the framework and describe some of the key differences between Angular and AngularJS. Additionally, Matthew will showcase an Angular app which uses the Spotify API.
This presentation covers the following
Overview of AWS Developer Tools like AWS CodeCommit, AWS CodeBuild, AWS CodeDeploy and AWS CodePipeline.
Implementation of CI CD workflow with a 3 stage CodePipeline;
Pull the source code from two different repositories for WebApplication & Infrastructure Code
Compile the code, generate artifact and upload to S3
Spin up the infrastructure using Cloud Formation Template followed WebApplication Deployment using the Artifact stored in S3.
Walkthrough of buildspec and appspec files
Debugging Build & Deployment
Rollback of deployment
How to gauge the metrics to DevOps
Refer here for details blog series: http://installjournal.blogspot.com/2018/08/aws-developer-tools-ci-cd-lab.html
[20200720]cloud native develoment - Nelson LinHanLing Shen
There is no shortage now of development and CI/CD tools for cloud-native application development. But how do we put the cloud-native concept and think as the cloud-native way on the leftmost side of CI/CD pipeline.
During developing phrase, the tools provided with cloud code can help you expedite iteration of source codes, run and debug cloud native applications in an easy and fast way, making cloud-native development turn into real-time process, reduce the gap between deployment and development.
現在不乏用於雲原生應用程序開發的開發和 CI/CD工具。 但是,我們如何將雲原生概念放在的 CI/CD 流水線的最左側呢?
在開發階段,如何用 Cloud code 協助您加快原始碼的迭代速度,以簡便快捷的方式運行和調用雲原生應用程序,使雲原生開發變為即使過程,縮小開發與部署之間的差
The path to a serverless-native era with Kubernetessparkfabrik
In this talk we'll talk about how the Serverless paradigms are changing the way we develop applications and cloud infrastructure and how we can implement them in a
efficient and seamless way with Kubernetes.
We'll go through the latest Kubernetes Serverless technologies, talking about all the aspects
including pricing, scalability, observability and best practices.
You can increase development speed and encourage best practices by enabling CI/CD across your organization through repeatable patterns and infrastructure-as-code templates. This is achieved by creating and maintaining easily extensible infrastructure-as-code patterns for creating new services and automatically deploying them using CI/CD. In this session, we will dive deep into building a production-ready, multi-account, at scale CI/CD pipeline using your own Jenkins with Infrastructure at Code using AWS CloudFormation and discuss best practices for building DevOps capabilities for your applications running on AWS.
Experts Live Europe 2017 - Why you should care about Docker - an introductionMarc Müller
The popularity of Docker has grown massively in recent years. So what are the benefits for development and operations? This talk provides you a proper introduction into the topic and answers the questions around the differences between Linux and Windows containers, the development workflow and enterprise grade hosting scenarios.
Topics of this presentation:
- Basics and best practices of developing single-page applications (SPA) and Web API Services on Microsoft .NET -
- Core with Docker and Linux.
- PowerShell Core automated builds.
- Markdown/PDF documentation.
- Documentation of public interfaces with Swagger/OAS/YAML.
- Automated testing of SPA on Protractor and testing the Web API on Postman/Newman.
This presentation by Sergii Fradkov (Consultant, Engineering), Andrii Zarharov (Lead Software Engineer, Consultant), Igor Magdich (Lead Test Engineer, Consultant) was delivered at GlobalLogic Kharkiv .NET TechTalk #1 on May 24, 2019.
Exploring Next Generation Buildpacks - Anand Rao & Scott DeegVMware Tanzu
Cloud native buildpacks are pluggable, modular tools that translate source code into OCI container images. They provide portability, modularity, faster builds, and reproducible images. Buildpacks detect the application, define the build environment, and output the container image. They allow writing code and running apps with minimal effort. The demo will show buildpacks decomposing builds into groups and updating the OS layer for fast updates.
This document discusses using event-driven architectures and serverless computing with AWS services. It begins with defining event-driven architectures and how serverless architectures relate to them. It then outlines several AWS services like EventBridge, Step Functions, SQS, SNS, and Lambda that are well-suited for building event-driven applications. The document demonstrates using S3, DynamoDB, API Gateway and other services to build a serverless hotel data ingestion and shopping platform that scales independently for static and dynamic data. It shows how to upload, store, and stream hotel data and expose APIs using serverless AWS services in an event-driven manner.
This document provides an overview of the Azure Batch Service, including its core features, architecture, and monitoring capabilities. It discusses how Azure Batch allows uploading batch jobs to the cloud to be executed and managed, covering concepts like job scheduling, resource management, and process monitoring. The document also demonstrates Azure Batch usage through the Azure portal and Batch Explorer tool and reviews quotas and limits for Batch accounts, pools, jobs, and other resources.
We will walk through the exploration, training and serving of a machine learning model by leveraging Kubeflow's main components. We will use Jupyter notebooks on the cluster to train the model and then introduce Kubeflow Pipelines to chain all the steps together, to automate the entire process.
Must Know Azure Kubernetes Best Practices And Features For Better Resiliency ...CodeOps Technologies LLP
Running day-1 Ops on your Kubernetes is somewhat easy, but it is quite daunting to manage day two challenges. Learn about AKS best practices for your cloud-native applications so that you can avoid blow up your workloads.
What if you could combine Trello, GitLab, JIRA, Calendar, Slack, Confluence, and more - all together into one solution?
Yes, we are talking about Space - the latest tool from JetBrains famous for its developer productivity-enhancing tools (esp. IntelliJ IDEA).
Here we have explained about JetBrains' space and its functionalities.
This document provides an overview of functional programming concepts in Java 8 including lambdas and streams. It introduces lambda functions as anonymous functions without a name. Lambdas allow internal iteration over collections using forEach instead of external iteration with for loops. Method references provide a shorthand for lambda functions by "routing" function parameters. Streams in Java 8 enhance the library and allow processing data pipelines in a functional way.
This talk will serve as a practical introduction to Distributed Tracing. We will see how we can make best use of open source distributed tracing platforms like Hypertrace with Azure and find the root cause of problems and predict issues in our critical business applications beforehand.
This talk serves as a practical introduction to Distributed Tracing. We will see how we can make best use of open source distributed tracing platforms like Hypertrace with Azure and find the root cause of problems and predict issues in our critical business applications beforehand.
Presentation part of Open Source Days on 30 Oct - ossdays.konfhub.com
Tailwind Traders recent internal employee survey showed their employees are frustrated with lengthy processes for simple actions, such as booking vacation and other company benefits. They want to reduce the friction of reviewing and booking vacation so it’s a simple, easy and pleasant process for their employees. In this session you will see how Tailwind Traders applied Conversational AI best practices to simplify the vacation process for their employees. Using the Bot Framework Composer tooling you can quickly build conversation flows, incorporate intelligence services such as Q&A maker and LUIS, test and deploy your virtual assistant to the cloud and embed it where your customers and employees spend their time.
Text analytics, sentiment detection etc. form a very important part of NLP. With huge data available today, making sense of the dara, detecting latent patterns, tagging documents etc. has become an important part of language modelling. Let us see how Azure Cognitive services enable us to detect document sentiments, Named entities, Key phrases, contextual information like geo spatial indices etc.
AI has become the most popular buzz word among tech and non-tech individuals and we talk about its applications in daily life. The applications are getting more and more complex, and classical computers are not able to handle most of the work. In this talk, I would like to demonstrate how a hybrid Quantum-Classical Machine Learning model will work and how it can benefit us in the longer run.
Service Fabric is the foundational technology introduced by Microsoft Azure to empower the large-scale Azure service. In this session, you’ll get an overview of containers like Docker after an overview of Service Fabric, explain the difference between it and Kubernetes as a new way To Orchestrate Microservices. You’ll learn how to develop a Microservices application and how to deploy those services to Service Fabric clusters and the new serverless Service Fabric Mesh service. We’ll dive into the platform and programming model advantages including stateful services and actors for low-latency data processing and more. You will learn: Overview of containers Overview of Service Fabric Difference between Kubernetes and Service Fabric Setup Environment to start developing an application using Microservices with Service Fabric.
Shared as part of Cloud Community Days on 17th June 2020 - ccdays.konfhub.com
TrustArc Webinar - 2025 Global Privacy SurveyTrustArc
How does your privacy program compare to your peers? What challenges are privacy teams tackling and prioritizing in 2025?
In the sixth annual Global Privacy Benchmarks Survey, we asked global privacy professionals and business executives to share their perspectives on privacy inside and outside their organizations. The annual report provides a 360-degree view of various industries' priorities, attitudes, and trends. See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar features an expert panel discussion and data-driven insights to help you navigate the shifting privacy landscape. Whether you are a privacy officer, legal professional, compliance specialist, or security expert, this session will provide actionable takeaways to strengthen your privacy strategy.
This webinar will review:
- The emerging trends in data protection, compliance, and risk
- The top challenges for privacy leaders, practitioners, and organizations in 2025
- The impact of evolving regulations and the crossroads with new technology, like AI
Predictions for the future of privacy in 2025 and beyond
Boosting MySQL with Vector Search -THE VECTOR SEARCH CONFERENCE 2025 .pdfAlkin Tezuysal
As the demand for vector databases and Generative AI continues to rise, integrating vector storage and search capabilities into traditional databases has become increasingly important. This session introduces the *MyVector Plugin*, a project that brings native vector storage and similarity search to MySQL. Unlike PostgreSQL, which offers interfaces for adding new data types and index methods, MySQL lacks such extensibility. However, by utilizing MySQL's server component plugin and UDF, the *MyVector Plugin* successfully adds a fully functional vector search feature within the existing MySQL + InnoDB infrastructure, eliminating the need for a separate vector database. The session explains the technical aspects of integrating vector support into MySQL, the challenges posed by its architecture, and real-world use cases that showcase the advantages of combining vector search with MySQL's robust features. Attendees will leave with practical insights on how to add vector search capabilities to their MySQL systems.
מכונות CNC קידוח אנכיות הן הבחירה הנכונה והטובה ביותר לקידוח ארונות וארגזים לייצור רהיטים. החלק נוסע לאורך ציר ה-x באמצעות ציר דיגיטלי מדויק, ותפוס ע"י צבת מכנית, כך שאין צורך לבצע setup (התאמות) לגדלים שונים של חלקים.
The State of Web3 Industry- Industry ReportLiveplex
Web3 is poised for mainstream integration by 2030, with decentralized applications potentially reaching billions of users through improved scalability, user-friendly wallets, and regulatory clarity. Many forecasts project trillions of dollars in tokenized assets by 2030 , integration of AI, IoT, and Web3 (e.g. autonomous agents and decentralized physical infrastructure), and the possible emergence of global interoperability standards. Key challenges going forward include ensuring security at scale, preserving decentralization principles under regulatory oversight, and demonstrating tangible consumer value to sustain adoption beyond speculative cycles.
PyData - Graph Theory for Multi-Agent Integrationbarqawicloud
Graph theory is a well-known concept for algorithms and can be used to orchestrate the building of multi-model pipelines. By translating tasks and dependencies into a Directed Acyclic Graph, we can orchestrate diverse AI models, including NLP, vision, and recommendation capabilities. This tutorial provides a step-by-step approach to designing graph-based AI model pipelines, focusing on clinical use cases from the field.
Creating an Accessible Future-How AI-powered Accessibility Testing is Shaping...Impelsys Inc.
Web accessibility is a fundamental principle that strives to make the internet inclusive for all. According to the World Health Organization, over a billion people worldwide live with some form of disability. These individuals face significant challenges when navigating the digital landscape, making the quest for accessible web content more critical than ever.
Enter Artificial Intelligence (AI), a technological marvel with the potential to reshape the way we approach web accessibility. AI offers innovative solutions that can automate processes, enhance user experiences, and ultimately revolutionize web accessibility. In this blog post, we’ll explore how AI is making waves in the world of web accessibility.
Presentation given at the LangChain community meetup London
https://lu.ma/9d5fntgj
Coveres
Agentic AI: Beyond the Buzz
Introduction to AI Agent and Agentic AI
Agent Use case and stats
Introduction to LangGraph
Build agent with LangGraph Studio V2
This OrionX's 14th semi-annual report on the state of the cryptocurrency mining market. The report focuses on Proof-of-Work cryptocurrencies since those use substantial supercomputer power to mint new coins and encode transactions on their blockchains. Only two make the cut this time, Bitcoin with $18 billion of annual economic value produced and Dogecoin with $1 billion. Bitcoin has now reached the Zettascale with typical hash rates of 0.9 Zettahashes per second. Bitcoin is powered by the world's largest decentralized supercomputer in a continuous winner take all lottery incentive network.
If You Use Databricks, You Definitely Need FMESafe Software
DataBricks makes it easy to use Apache Spark. It provides a platform with the potential to analyze and process huge volumes of data. Sounds awesome. The sales brochure reads as if it is a can-do-all data integration platform. Does it replace our beloved FME platform or does it provide opportunities for FME to shine? Challenge accepted
Providing an OGC API Processes REST Interface for FME FlowSafe Software
This presentation will showcase an adapter for FME Flow that provides REST endpoints for FME Workspaces following the OGC API Processes specification. The implementation delivers robust, user-friendly API endpoints, including standardized methods for parameter provision. Additionally, it enhances security and user management by supporting OAuth2 authentication. Join us to discover how these advancements can elevate your enterprise integration workflows and ensure seamless, secure interactions with FME Flow.
Mastering AI Workflows with FME - Peak of Data & AI 2025Safe Software
Harness the full potential of AI with FME: From creating high-quality training data to optimizing models and utilizing results, FME supports every step of your AI workflow. Seamlessly integrate a wide range of models, including those for data enhancement, forecasting, image and object recognition, and large language models. Customize AI models to meet your exact needs with FME’s powerful tools for training, optimization, and seamless integration
Floods in Valencia: Two FME-Powered Stories of Data ResilienceSafe Software
In October 2024, the Spanish region of Valencia faced severe flooding that underscored the critical need for accessible and actionable data. This presentation will explore two innovative use cases where FME facilitated data integration and availability during the crisis. The first case demonstrates how FME was used to process and convert satellite imagery and other geospatial data into formats tailored for rapid analysis by emergency teams. The second case delves into making human mobility data—collected from mobile phone signals—accessible as source-destination matrices, offering key insights into population movements during and after the flooding. These stories highlight how FME's powerful capabilities can bridge the gap between raw data and decision-making, fostering resilience and preparedness in the face of natural disasters. Attendees will gain practical insights into how FME can support crisis management and urban planning in a changing climate.
National Fuels Treatments Initiative: Building a Seamless Map of Hazardous Fu...Safe Software
The National Fuels Treatments Initiative (NFT) is transforming wildfire mitigation by creating a standardized map of nationwide fuels treatment locations across all land ownerships in the United States. While existing state and federal systems capture this data in diverse formats, NFT bridges these gaps, delivering the first truly integrated national view. This dataset will be used to measure the implementation of the National Cohesive Wildland Strategy and demonstrate the positive impact of collective investments in hazardous fuels reduction nationwide. In Phase 1, we developed an ETL pipeline template in FME Form, leveraging a schema-agnostic workflow with dynamic feature handling intended for fast roll-out and light maintenance. This was key as the initiative scaled from a few to over fifty contributors nationwide. By directly pulling from agency data stores, oftentimes ArcGIS Feature Services, NFT preserves existing structures, minimizing preparation needs. External mapping tables ensure consistent attribute and domain alignment, while robust change detection processes keep data current and actionable. Now in Phase 2, we’re migrating pipelines to FME Flow to take advantage of advanced scheduling, monitoring dashboards, and automated notifications to streamline operations. Join us to explore how this initiative exemplifies the power of technology, blending FME, ArcGIS Online, and AWS to solve a national business problem with a scalable, automated solution.
➡ 🌍📱👉COPY & PASTE LINK👉👉👉 ➤ ➤➤ https://drfiles.net/
Wondershare Filmora Crack is a user-friendly video editing software designed for both beginners and experienced users.
3. Agenda
▪ Create a New .Net Core Project
▪ Restore dependencies, build your project, and test with the .NET
Core CLI task or a script.
▪ Use the publish code coverage task to publish code coverage
results.
▪ Package and deliver your code with the .NET Core CLI task and the
publish build artifacts task.
▪ Deploy your web app to Azure.