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.
Here is a slidedeck for the training offerings from CodeOps Technologies. Interested in organizing a training in your organization? Contact us at: reachus@codeops.tech
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"
Azure Functions allow for event-driven, serverless code execution in multiple languages like C#, Node.js, and Python. Functions can be triggered by events from various Azure services and external sources. They provide automatic scaling based on demand and sub-second billing. Functions make it easy to compose cloud applications from loosely coupled services and integrate with other Azure services like Logic Apps, Storage, SQL Database, and more.
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.
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
Accelerating Deployment With Azure DevOps - Murughan and Leena - CCDays CodeOps Technologies LLP
This talk helps you understand why DevOps and the power of Azure DevOps which helps in automating build & release process faster for multiple languages & framework.
Presented as part of Cloud Community Days on 19th June - ccdays.konfhub.com
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
Azure Functions VS AWS Lambda: overview and comparisonAlex Zyl
The document compares serverless computing platforms Azure Functions and AWS Lambda. It provides an overview of key concepts like functions, triggers, bindings and event models. It also outlines some example use cases for functions. The document analyzes the architecture and infrastructure of Azure Functions and AWS Lambda and compares features between the two platforms. It concludes by listing relevant documentation and SDK repositories for further reference.
Introduction to Serverless computing on the Microsoft Azure platform. Azure Functions provide a way to perform Serverless execution of small jobs that required 10 min less time for execution. They hide the details of the infrastructure needed to run these tasks.
ASAS 2013 - Architecture for dynamic mobile forms at MoreApps Avisi B.V.
The document describes an architecture for developing dynamic mobile forms using a single code base across platforms and devices. It involves generating HTML, JavaScript and CSS in the cloud and either retrieving that code onto mobile devices or allowing offline usage. The cloud component includes an application builder, version control, storage of application metadata, HTML and mobile data. It also handles deployment of applications, API connectors, email and retrieving application code onto mobile devices.
This document discusses Azure Logic Apps and workflow definitions. It shows how a workflow definition declares parameters and provides configuration for triggers, actions, and outputs. It also lists many connectors that can be used in Logic Apps for SaaS, protocols, messaging, B2B, managed API's, and hybrid systems like databases and message queues.
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.
Windows Azure is Microsoft's cloud computing platform that provides Software as a Service (SaaS), Platform as a Service (PaaS) and Infrastructure as a Service (IaaS). It consists of compute, storage, and networking resources that allow developers to build and host applications through web and worker roles. Windows Azure also includes Windows Azure SQL for database services and AppFabric for connectivity. Businesses can use Windows Azure to dynamically align their IT infrastructure with changing business needs.
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
This is a presentation from Serverless Summit.
In this session you will learn about how to build your IoT solution with the various components of AWS Serverless backend. We will visit the AWS IoT stack, Kinesis, DynamoDB and AWS Lambda to build an IoT solution.
1) Azure Web Sites allows you to quickly configure high availability Joomla environments in the cloud. It provides automatic scaling and traffic management across global data centers.
2) Traffic Manager allows intelligent routing of users to the optimal data center region. It also enables failover between regions.
3) Site Slots allow developing and testing new site versions in a staging slot before swapping them with the live production site. This provides a safer way to deploy updates.
Azure has a complete offering in Servereless space with Functions and Logic Apps. Logic Apps is a PaaS orchestrating engine of microservices. We will see how to use, for example applying it into IoT world.
Ben Kehoe - Serverless Architecture for the Internet of ThingsServerlessConf
Presented at ServerlessConf NYC 2016.
iRobot is transitioning the cloud infrastructure for our IoT system to AWS with the goal of using zero EC2 instances. I'll cover our general architecture (AWS IoT, API Gateway, Lambda, etc.), our CloudFormation+Lambda deployment strategy, and the hardest patterns to make serverless on AWS.
Convert your sketches to code with microsoft aiMohit Chhabra
Sketch 2 Code is a tool that uses Microsoft AI to convert hand-drawn sketches into code. It utilizes various machine learning and cognitive services like computer vision, natural language processing and speech recognition through Azure Machine Learning and the Microsoft AI Platform. The tool allows for agile development of AI models and rapid experimentation through Jupyter notebooks and support for frameworks like TensorFlow, Caffe2 and Keras.
This document summarizes Microsoft's Azure Service Fabric platform. It discusses how Service Fabric can be used to build microservices applications and orchestrate containers across any infrastructure. It also outlines the different programming models and resources available in Service Fabric, including Reliable Services, Reliable Actors, and Service Fabric resources. The document demonstrates how Service Fabric provides a full-managed platform for developing, deploying, and managing microservices applications and containers on Azure, on-premises, or any other cloud.
Nickleus G. Jimenez has experience with C#, ASP.NET MVC, SQL Server, IIS, HTML, CSS, JavaScript, Sass, Microsoft Azure, Sitecore, Nuget, TFS, Scrum, Waterfall, Entity Framework, XAML, Java, C, JSP, MySQL, Tomcat, Ubuntu, Vim, Git, Openshift, and Virtualbox. He has attended official Sitecore and database administration trainings and has skills in SWOT analysis, business modeling, planning, machine learning, database design, and open source software installation. He has a computer science degree and has worked as a software engineer and intern.
Building a Computer Vision Application Leveraging the Custom Vision Service |...Radu Vunvulea
The global AI/ML bootcamp agenda includes two sessions. The morning session from 9:30-11:00 will cover building a computer vision application using Custom Vision Service and will be presented by Radu Vunvulea. After a short break, the afternoon session from 11:30-13:00 will focus on designing, building and deploying a first enterprise-grade chatbot using Microsoft Azure and Bot Framework, presented by Silviu Niculita.
Well not quite, but they can detect them. This talk will explore Microsoft Cognitive Services in Azure. We'll take a look at the offerings overall, and then take a deeper look into specifics such as Sentiment analysis, Computer vision (image recognition) and Emotion detection.
This document is a resume for Majid Rafiei that provides details about his education, work experience, skills, and publications. It summarizes that he has a M.Sc. and B.Sc. in Information Technology Engineering, has worked as an ABAP Developer, PI Architect, and FIORI Developer at Mobile Company of Iran since 2015, and has extensive skills and experience in SAP ABAP, PI/PO, FIORI, and other programming languages. He has also authored books and published journal articles in the areas of expert finding, knowledge sharing, and social network analysis.
Accelerating Deployment With Azure DevOps - Murughan and Leena - CCDays CodeOps Technologies LLP
This talk helps you understand why DevOps and the power of Azure DevOps which helps in automating build & release process faster for multiple languages & framework.
Presented as part of Cloud Community Days on 19th June - ccdays.konfhub.com
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
Azure Functions VS AWS Lambda: overview and comparisonAlex Zyl
The document compares serverless computing platforms Azure Functions and AWS Lambda. It provides an overview of key concepts like functions, triggers, bindings and event models. It also outlines some example use cases for functions. The document analyzes the architecture and infrastructure of Azure Functions and AWS Lambda and compares features between the two platforms. It concludes by listing relevant documentation and SDK repositories for further reference.
Introduction to Serverless computing on the Microsoft Azure platform. Azure Functions provide a way to perform Serverless execution of small jobs that required 10 min less time for execution. They hide the details of the infrastructure needed to run these tasks.
ASAS 2013 - Architecture for dynamic mobile forms at MoreApps Avisi B.V.
The document describes an architecture for developing dynamic mobile forms using a single code base across platforms and devices. It involves generating HTML, JavaScript and CSS in the cloud and either retrieving that code onto mobile devices or allowing offline usage. The cloud component includes an application builder, version control, storage of application metadata, HTML and mobile data. It also handles deployment of applications, API connectors, email and retrieving application code onto mobile devices.
This document discusses Azure Logic Apps and workflow definitions. It shows how a workflow definition declares parameters and provides configuration for triggers, actions, and outputs. It also lists many connectors that can be used in Logic Apps for SaaS, protocols, messaging, B2B, managed API's, and hybrid systems like databases and message queues.
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.
Windows Azure is Microsoft's cloud computing platform that provides Software as a Service (SaaS), Platform as a Service (PaaS) and Infrastructure as a Service (IaaS). It consists of compute, storage, and networking resources that allow developers to build and host applications through web and worker roles. Windows Azure also includes Windows Azure SQL for database services and AppFabric for connectivity. Businesses can use Windows Azure to dynamically align their IT infrastructure with changing business needs.
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
This is a presentation from Serverless Summit.
In this session you will learn about how to build your IoT solution with the various components of AWS Serverless backend. We will visit the AWS IoT stack, Kinesis, DynamoDB and AWS Lambda to build an IoT solution.
1) Azure Web Sites allows you to quickly configure high availability Joomla environments in the cloud. It provides automatic scaling and traffic management across global data centers.
2) Traffic Manager allows intelligent routing of users to the optimal data center region. It also enables failover between regions.
3) Site Slots allow developing and testing new site versions in a staging slot before swapping them with the live production site. This provides a safer way to deploy updates.
Azure has a complete offering in Servereless space with Functions and Logic Apps. Logic Apps is a PaaS orchestrating engine of microservices. We will see how to use, for example applying it into IoT world.
Ben Kehoe - Serverless Architecture for the Internet of ThingsServerlessConf
Presented at ServerlessConf NYC 2016.
iRobot is transitioning the cloud infrastructure for our IoT system to AWS with the goal of using zero EC2 instances. I'll cover our general architecture (AWS IoT, API Gateway, Lambda, etc.), our CloudFormation+Lambda deployment strategy, and the hardest patterns to make serverless on AWS.
Convert your sketches to code with microsoft aiMohit Chhabra
Sketch 2 Code is a tool that uses Microsoft AI to convert hand-drawn sketches into code. It utilizes various machine learning and cognitive services like computer vision, natural language processing and speech recognition through Azure Machine Learning and the Microsoft AI Platform. The tool allows for agile development of AI models and rapid experimentation through Jupyter notebooks and support for frameworks like TensorFlow, Caffe2 and Keras.
This document summarizes Microsoft's Azure Service Fabric platform. It discusses how Service Fabric can be used to build microservices applications and orchestrate containers across any infrastructure. It also outlines the different programming models and resources available in Service Fabric, including Reliable Services, Reliable Actors, and Service Fabric resources. The document demonstrates how Service Fabric provides a full-managed platform for developing, deploying, and managing microservices applications and containers on Azure, on-premises, or any other cloud.
Nickleus G. Jimenez has experience with C#, ASP.NET MVC, SQL Server, IIS, HTML, CSS, JavaScript, Sass, Microsoft Azure, Sitecore, Nuget, TFS, Scrum, Waterfall, Entity Framework, XAML, Java, C, JSP, MySQL, Tomcat, Ubuntu, Vim, Git, Openshift, and Virtualbox. He has attended official Sitecore and database administration trainings and has skills in SWOT analysis, business modeling, planning, machine learning, database design, and open source software installation. He has a computer science degree and has worked as a software engineer and intern.
Building a Computer Vision Application Leveraging the Custom Vision Service |...Radu Vunvulea
The global AI/ML bootcamp agenda includes two sessions. The morning session from 9:30-11:00 will cover building a computer vision application using Custom Vision Service and will be presented by Radu Vunvulea. After a short break, the afternoon session from 11:30-13:00 will focus on designing, building and deploying a first enterprise-grade chatbot using Microsoft Azure and Bot Framework, presented by Silviu Niculita.
Well not quite, but they can detect them. This talk will explore Microsoft Cognitive Services in Azure. We'll take a look at the offerings overall, and then take a deeper look into specifics such as Sentiment analysis, Computer vision (image recognition) and Emotion detection.
This document is a resume for Majid Rafiei that provides details about his education, work experience, skills, and publications. It summarizes that he has a M.Sc. and B.Sc. in Information Technology Engineering, has worked as an ABAP Developer, PI Architect, and FIORI Developer at Mobile Company of Iran since 2015, and has extensive skills and experience in SAP ABAP, PI/PO, FIORI, and other programming languages. He has also authored books and published journal articles in the areas of expert finding, knowledge sharing, and social network analysis.
Microsoft Cognitive Services & Bot Framework - Universidade Fernando PessoaRui Quintino
This document discusses Microsoft's Cognitive Services and related technologies like Computer Vision, Face and Emotion APIs, and the Bot Framework. Code samples are provided to demonstrate how to use Computer Vision APIs to analyze images and detect faces. The document also promotes Microsoft's Cognitive Services, Bot Framework, and Cortana Intelligence Suite for building intelligent bots and applications using AI and machine learning technologies.
This document provides a summary of Cory Couty's technical skills, education, and work experience. Cory has strong skills in ASP.NET, C#, AngularJS, SQL, and Agile methodologies. He has a Bachelor's degree in Law and Economics and completed a full stack web development bootcamp focused on .NET and AngularJS. For projects, Cory developed a peer-to-peer car rental application using a .NET backend and AngularJS frontend. He also created a forum application to connect users based on common interests. Cory has work experience in sales management and as an onsite septic system inspector.
This document discusses Microsoft AI, conversational UI, and cognitive services. It provides an overview of Microsoft's goals around democratizing AI and empowering users. It introduces the speaker and their background. It then discusses Microsoft's infrastructure including Azure, platforms services, and AI services like Cortana Intelligence Suite and Cognitive Services. It provides examples of apps powered by Cognitive Services and discusses bots, the Microsoft Bot Framework, and how bots combine with Cognitive Services. It frames conversation as a new platform and discusses benefits of bots for business. Finally, it encourages the reader to build bots and achieve more with Microsoft AI tools.
Priyanka Umesh Pandit has over 5 years of experience as a Software Developer at Cisco Systems and Stride. She is currently pursuing her MS in Computer Science at the University of Colorado, Boulder with a GPA of 3.9/4.0. At Cisco, she architected security and availability systems, built REST APIs and microservices, and deployed applications to AWS. Her projects include a Monopoly game simulation using Java technologies, a Chicago crime data exploration application using Flask and Docker on GCP, and earlier projects involving recommender systems and an online cafe ordering application. She is proficient in languages like Python, Java, C/C++ and frameworks like Flask, Django, and technologies like AWS, G
The document contains the resume of Aparna Kulkarni which summarizes her education, skills, work experience and academic projects. She has a Master's degree in Software Engineering from San Jose State University and Bachelor's degree in Computer Engineering from University of Pune. She has over 3 years of experience as a Programmer Analyst in Cognizant Technology Solutions. Some of her academic projects include developing prototypes of Facebook, Uber and an Android application for Dominos Pizza.
Sanklan Saxena has over 1.3 years of experience as a security consultant at Microsoft, where he assists development teams in implementing security best practices including security training, threat modeling, design and code reviews, and security testing on projects involving technologies like SharePoint, Azure, and .NET. He has expertise in detecting common vulnerabilities like those in the OWASP Top 10 and advising on remedies. Some of his past security work includes finding issues like DOM XSS in a SharePoint app and demonstrating attacks on SharePoint and Azure Web Apps.
This document describes a mobile development team that offers various services including native development, cross-platform development, server-side applications, and augmented reality. It provides examples of business cases they have worked on including mobile apps for online travel, loyalty programs, calculators, photo editing, and more. It also includes information about the team members' experience and skills.
This document provides information on various technology positions, including front-end developers specializing in AngularJS, iOS, Android, and full-stack development. It also lists common IT requests such as business analysts, IT risk auditors, and infrastructure professionals. Details are given for a front-end developer job requiring AngularJS, AJAX, and other skills as well as experience in digital agencies. An entry-level Ruby on Rails software engineer position is described along with requirements.
Azure Cognitive Services - Global Azure Bootcamp 2019Sam Fernando
This document provides an overview and introduction to Azure Cognitive Services by Sam Fernando. The presentation agenda includes an introduction to Azure Cognitive Services, its APIs, demos, and use cases. Azure Cognitive Services provides APIs for language, speech, vision, knowledge, and search capabilities powered by machine learning. These APIs can be used to make apps smarter by understanding customers, gauging sentiment, engaging better, selling more, acting on trends, and understanding context. The document encourages attendees to get started with Azure Cognitive Services and provides resources for doing so.
Cognitive Services: Building Smart Apps with Speech, NLP & VisionNick Landry
Your computer can recognize your voice and detect words in a speech dictation, but can it truly understand the meaning of what you are saying? Can it analyze your intent and respond accordingly? You don’t need a PhD in artificial intelligence to integrate speech and natural language understanding in your projects. Microsoft Cognitive Services (aka “Project Oxford”) is a portfolio of cloud-based REST APIs and SDKs powered by Machine Learning which enable developers to write applications which understand the content within the rapidly growing set of multimedia data. Cognitive Services API services will help you understand and interact with audio, text, image, and video. In this session, we’ll start with an overview of available services for speech recognition and speech synthesis. Then we’ll explore through live demos how to leverage the Language Understanding Intelligent Service which lets you determine intent, detect entities in user speech and improve language understanding models to more efficiently work with user data. Lastly, we’ll leverage Computer Vision APIs to detect human faces, analyze the content of images, and perform Optical Character Recognition (OCR) to detect and analyze words within a photo. Come learn how your apps can tap into the same active learning services behind the brain of Cortana, and get started writing smart applications that can understand what your users are saying.
Rahul pandey 4 years experienced Full StackRahul Pandey
I'm currently pursuing Masters at NEU course MSCS. I'm looking for internship positions starting in summer 2020. My expected graduation date is May 2021.
Kumar Saurabh is a software engineer with over 3 years of experience developing web applications using technologies like ASP.Net, C#, AngularJS, and SQL Server. He currently works at Vaay tech PVT LTD in Indore developing APIs, websites, and helping MLM organizations. Some of his projects include developing APIs and websites for Rosterstaff and Trade China. He has a Master's degree in computer application and is proficient in technologies like .NET, web services, HTML, and QlikView business intelligence tool.
Microsoft Cognitive Services provides APIs for vision, speech, language, and knowledge capabilities that allow developers to easily add intelligent features to applications. Some key APIs include Computer Vision, Face, Emotion and Video APIs for vision capabilities, Bing Speech and Speaker Recognition APIs for speech, and APIs for language understanding, text analytics and entity linking. Microsoft experts in AI and machine learning developed these APIs which are supported by documentation, samples and a developer community.
This document provides information about an upcoming webinar on face and emotion recognition using Microsoft AI platforms like Azure. It discusses how the face recognition API can detect over 27 landmarks on each face to determine attributes like age, gender, emotion, and presence of smile or facial hair. It also describes how the API can be used to identify similar faces, group faces, and recognize emotions in images and video in real-time. Contact information is provided for the webinar presenter.
This document is Péter Nádasi's curriculum vitae. He has over 10 years of experience as a software developer specializing in C#, ASP.NET, SQL Server, and JavaScript. Currently he works as a senior developer on a team creating a financial planning software. He is looking for an ambitious company that provides new opportunities.
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.
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.
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.
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.
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
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.
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.
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.
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.
Introduction to ANN, McCulloch Pitts Neuron, Perceptron and its Learning
Algorithm, Sigmoid Neuron, Activation Functions: Tanh, ReLu Multi- layer Perceptron
Model – Introduction, learning parameters: Weight and Bias, Loss function: Mean
Square Error, Back Propagation Learning Convolutional Neural Network, Building
blocks of CNN, Transfer Learning, R-CNN,Auto encoders, LSTM Networks, Recent
Trends in Deep Learning.
Welcome to the May 2025 edition of WIPAC Monthly celebrating the 14th anniversary of the WIPAC Group and WIPAC monthly.
In this edition along with the usual news from around the industry we have three great articles for your contemplation
Firstly from Michael Dooley we have a feature article about ammonia ion selective electrodes and their online applications
Secondly we have an article from myself which highlights the increasing amount of wastewater monitoring and asks "what is the overall" strategy or are we installing monitoring for the sake of monitoring
Lastly we have an article on data as a service for resilient utility operations and how it can be used effectively.
Jacob Murphy Australia - Excels In Optimizing Software ApplicationsJacob Murphy Australia
In the world of technology, Jacob Murphy Australia stands out as a Junior Software Engineer with a passion for innovation. Holding a Bachelor of Science in Computer Science from Columbia University, Jacob's forte lies in software engineering and object-oriented programming. As a Freelance Software Engineer, he excels in optimizing software applications to deliver exceptional user experiences and operational efficiency. Jacob thrives in collaborative environments, actively engaging in design and code reviews to ensure top-notch solutions. With a diverse skill set encompassing Java, C++, Python, and Agile methodologies, Jacob is poised to be a valuable asset to any software development team.
Interfacing PMW3901 Optical Flow Sensor with ESP32CircuitDigest
Learn how to connect a PMW3901 Optical Flow Sensor with an ESP32 to measure surface motion and movement without GPS! This project explains how to set up the sensor using SPI communication, helping create advanced robotics like autonomous drones and smart robots.
Dear SICPA Team,
Please find attached a document outlining my professional background and experience.
I remain at your disposal should you have any questions or require further information.
Best regards,
Fabien Keller
3. Getting Started with Face API
Provisioning Face API – Portal
Provisioning Face API – CLI
Testing Face API – Postman
Face Detection
Demo – Consume API in .NET Application
Agenda