Łukasz Kałużny & Marek Grabarz about:
- VM Image Builder
- AKS and Virtual Nodes
- Project KEDA
- New capabilities of Azure AppService
- Consumption based API Management
Creating angular apps with serverless backendGaurav Madaan
This presentation is about creating angular applications with Serverless backend. The slides provide the information on understanding the concept of Serveless and what all cloud providers provide similar service. It also includes use cases and samples link(s) in notes.
Run UI Automation Tests using Selenium Grid and Azure Container Service (AKS)Sri Kanth
Learn to Run Selenium UI Automation Tests using Selenium Grid deployed on Azure Container Service (AKS) managed cluster. This slide deck is used in a Video Presentation here : https://www.youtube.com/watch?v=qidBqmvspqo
This document discusses serverless microservices using AWS services like Lambda, API Gateway, S3, and DynamoDB. It notes that managing servers for microservices can be difficult due to provisioning, patching, updates, and failures. Serverless computing removes these problems by running code without provisioning servers and providing automatic scaling and high availability. The document provides an example serverless microservices architecture using AWS services and shares a case study of building a web and mobile application with Node.js microservices, Angular for the web app, and Ionic for mobile, all deployed serverless on AWS.
The serverless architecture of Instant. Based on our extensive blog post: https://blog.instant.cm/a-serverless-architecture-with-zero-maintenance-and-infinite-scalability-b00c2ceb4c2b#.fykihsl34
Website: https://instant.cm
Azure vidyapeeth -Introduction to Azure Container Service & Registry ServiceIlyas F ☁☁☁
This document provides an introduction to Azure Container Service and Azure Container Registry. It discusses what containers are and how they provide operating system virtualization. It defines container orchestrators and explains how they manage containerized applications across machine fleets. It also describes what a container registry is and how it stores container images. Finally, it lists some Azure services for developing containerized applications and provides contact information for the presenter.
Introduction to serverless compute with azure functionsCallon Campbell
Introduction to serverless compute with Azure Functions. This is an introductory-level session on serverless compute with Azure Functions and how they can be used to process events with a serverless code architecture.
A quick walkthrough of Virtual Kubelet(VK) presented at Kubernetes Pune Meetup. These slides focus on how VK fits with Kubernetes and how you can run Kubernetes without the need for provisioning of worker nodes.
Creating angular apps with serverless backendGaurav Madaan
This presentation is about creating angular applications with Serverless backend. The slides provide the information on understanding the concept of Serveless and what all cloud providers provide similar service. It also includes use cases and samples link(s) in notes.
Run UI Automation Tests using Selenium Grid and Azure Container Service (AKS)Sri Kanth
Learn to Run Selenium UI Automation Tests using Selenium Grid deployed on Azure Container Service (AKS) managed cluster. This slide deck is used in a Video Presentation here : https://www.youtube.com/watch?v=qidBqmvspqo
This document discusses serverless microservices using AWS services like Lambda, API Gateway, S3, and DynamoDB. It notes that managing servers for microservices can be difficult due to provisioning, patching, updates, and failures. Serverless computing removes these problems by running code without provisioning servers and providing automatic scaling and high availability. The document provides an example serverless microservices architecture using AWS services and shares a case study of building a web and mobile application with Node.js microservices, Angular for the web app, and Ionic for mobile, all deployed serverless on AWS.
The serverless architecture of Instant. Based on our extensive blog post: https://blog.instant.cm/a-serverless-architecture-with-zero-maintenance-and-infinite-scalability-b00c2ceb4c2b#.fykihsl34
Website: https://instant.cm
Azure vidyapeeth -Introduction to Azure Container Service & Registry ServiceIlyas F ☁☁☁
This document provides an introduction to Azure Container Service and Azure Container Registry. It discusses what containers are and how they provide operating system virtualization. It defines container orchestrators and explains how they manage containerized applications across machine fleets. It also describes what a container registry is and how it stores container images. Finally, it lists some Azure services for developing containerized applications and provides contact information for the presenter.
Introduction to serverless compute with azure functionsCallon Campbell
Introduction to serverless compute with Azure Functions. This is an introductory-level session on serverless compute with Azure Functions and how they can be used to process events with a serverless code architecture.
A quick walkthrough of Virtual Kubelet(VK) presented at Kubernetes Pune Meetup. These slides focus on how VK fits with Kubernetes and how you can run Kubernetes without the need for provisioning of worker nodes.
This document provides an overview of serverless computing with Azure Functions. It discusses what serverless is and the benefits it provides like reduced DevOps workload and faster time to market. It describes the components of the serverless application platform in Azure Functions including development tools, triggers and bindings, and monitoring. It also demonstrates using Functions in the Azure portal and discusses deployment isolation, serverless APIs, and monitoring with Application Insights.
Designing azure compute and storage infrastructureAbhishek Sur
How to design compute and storage, description of premium tier machines and demonstration using Iometer to compare two different tier machines comparing cost and performance.
Azure Functions is a serverless compute service that enables you to run code-on-demand without having to explicitly provision or manage infrastructure. You can use Azure Functions to run a script or piece of code in response to a variety of events.
Introduction to windows azure IaaS , PaaSArun Kumar
Arunkumar will introduce different types of cloud provisioning models including virtual machines, web sites, and cloud services. He will discuss when to use virtual machines for development, testing, running applications, disaster recovery, and extending on-premises datacenters. Web sites and cloud services will also be demonstrated including running applications with SQL Server and SharePoint. The presentation will conclude with guidance on when to use each provisioning model and a hands-on demonstration of a cloud service using SQL Server Reporting Services.
Cloud services provide scalability, availability, and reliability so that applications can focus on their code. A cloud service uses public endpoints for external access, internal endpoints for private communication between roles, and instance input endpoints for individual instances. Roles in a cloud service can communicate through HTTP and provide web and worker functionality. Designing for the cloud requires embracing errors, and ensuring availability, reliability, and scalability through redundancy, reliability features in Azure like auto-recovery, and handling transient errors.
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.
The document provides an overview of various topics related to Microsoft's Windows Azure cloud computing platform including creating SQL databases, connecting to HDInsight clusters, uploading images to storage, cloud design patterns, Traffic Manager configuration, Big Data with HDInsight, managing data, infrastructure services, mobile services, web sites, virtual machines, media services, labs and samples, cloud services, SQL databases, and storage. It also includes various tutorials, guides, and resources for learning about and developing on the Windows Azure platform targeted at both newcomers and experienced users.
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.
Microsoft Build 2018 news for .NET developersAndriy Deren'
The document summarizes announcements from Microsoft Build 2018 related to .NET development. Key announcements include:
1. The release of .NET Core 2.1 RC with improvements to performance, support for ARM processors like Raspberry Pi 2, Docker image updates, and new cryptography APIs.
2. An overview of the .NET Core family including ASP.NET Core 2.1 being the fastest web framework, ASP.NET Core SignalR support, and new features in Entity Framework Core 2.1.
3. The roadmap for .NET Core 3.0 which will include full access to Windows 10 APIs, using UWP controls in WPF and Windows Forms, self-contained applications, and migration of
The document discusses serverless architecture and how a company called Vingle adapted it. It provides an overview of serverless concepts like AWS Lambda and discusses how Vingle built different microservices like an interest service and search service using a serverless approach with AWS Lambda and DynamoDB. It also discusses some challenges of using this approach like sharing models between services, dealing with massive amounts of code, and migrating data.
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.
The document outlines the steps to deploy a machine learning model in Azure ML Service:
1. Create a deployment workspace separate from the training workspace.
2. Register the trained model to the container registry in the deployment workspace.
3. Create a Python scoring script to consume the model and score new data.
4. Create a YAML file specifying the Python dependencies and build a container image.
5. Deploy the model as a web service using the container image.
The document discusses Docker and Azure. It provides an overview of Docker's architecture including registries, images and containers. It describes how Docker can be used to implement microservices with a layered architecture. It then discusses using private registries like Docker Hub or building your own, as well as Azure Container Registry. It demonstrates running dockerized applications on a single VM, cluster with orchestrator, or Azure Container Service. It also demonstrates a CI/CD pipeline and questions are taken at the end.
Presented at EclipseCon 2014, and an update to my EclipseCon 2013 presentation. I covered the latest tools for working with Java on Microsoft Azure, including our Plugin for Eclipse, options in Windows and Linux for authentication, security, and continuous integration, an introduction to the Java Developer Center for Azure, the Azure SDK for Java, and other tools and materials we've developed for Java developers with help from the community. We showed a number of working examples and tips and tricks for building, deploying, connecting, and maintaining Java applications in Eclipse, including multi-tier, and multiplatform Web applications that access data, servers and services in the cloud.
Service Management Automation (SMA) from zero to heroMichael Rüefli
An introduction on the architecture, deployment and best practice deploying SMA to automate clouds and datacenters. How to install is covered too as well as basics on Powershell workflows.
This document provides an introduction to AWS Lambda and the Serverless Framework. It defines serverless computing and discusses key differences between Platform as a Service (PaaS) and serverless models. AWS Lambda is introduced as Amazon's serverless compute platform, and other serverless platform providers are listed. The Serverless Framework is described as a development toolkit for building, managing and deploying serverless applications. Sample code and a serverless.yml configuration file are shown.
Mva best practices in planning hybrid cloud infrastructuresswapnilrkambli
This document provides information about Microsoft cloud services and tools for building private and hybrid clouds. It includes URLs and descriptions for Microsoft Azure, Windows Server, System Center, virtualization, identities and development. It also outlines how to use System Center to create and manage private clouds and build hybrid clouds integrating on-premise and Microsoft Azure infrastructure.
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
Meetup Estonia, talk about Azure AKS and ACI ConnectorEvgeny Rudinsky
Bursting from AKS to ACI with the Virtual Kubelet – instruction how to get started with virtual kubelet and AKS
Virtual kubelet project on github
Virtual kubelet explained
Azure Portal (you can get started with free money on it first time)
Azure Pricing Calculator – to estimate your expenses
AWS Fargate and EKS
Kubectl cheat sheet
This document provides an overview of serverless computing with Azure Functions. It discusses what serverless is and the benefits it provides like reduced DevOps workload and faster time to market. It describes the components of the serverless application platform in Azure Functions including development tools, triggers and bindings, and monitoring. It also demonstrates using Functions in the Azure portal and discusses deployment isolation, serverless APIs, and monitoring with Application Insights.
Designing azure compute and storage infrastructureAbhishek Sur
How to design compute and storage, description of premium tier machines and demonstration using Iometer to compare two different tier machines comparing cost and performance.
Azure Functions is a serverless compute service that enables you to run code-on-demand without having to explicitly provision or manage infrastructure. You can use Azure Functions to run a script or piece of code in response to a variety of events.
Introduction to windows azure IaaS , PaaSArun Kumar
Arunkumar will introduce different types of cloud provisioning models including virtual machines, web sites, and cloud services. He will discuss when to use virtual machines for development, testing, running applications, disaster recovery, and extending on-premises datacenters. Web sites and cloud services will also be demonstrated including running applications with SQL Server and SharePoint. The presentation will conclude with guidance on when to use each provisioning model and a hands-on demonstration of a cloud service using SQL Server Reporting Services.
Cloud services provide scalability, availability, and reliability so that applications can focus on their code. A cloud service uses public endpoints for external access, internal endpoints for private communication between roles, and instance input endpoints for individual instances. Roles in a cloud service can communicate through HTTP and provide web and worker functionality. Designing for the cloud requires embracing errors, and ensuring availability, reliability, and scalability through redundancy, reliability features in Azure like auto-recovery, and handling transient errors.
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.
The document provides an overview of various topics related to Microsoft's Windows Azure cloud computing platform including creating SQL databases, connecting to HDInsight clusters, uploading images to storage, cloud design patterns, Traffic Manager configuration, Big Data with HDInsight, managing data, infrastructure services, mobile services, web sites, virtual machines, media services, labs and samples, cloud services, SQL databases, and storage. It also includes various tutorials, guides, and resources for learning about and developing on the Windows Azure platform targeted at both newcomers and experienced users.
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.
Microsoft Build 2018 news for .NET developersAndriy Deren'
The document summarizes announcements from Microsoft Build 2018 related to .NET development. Key announcements include:
1. The release of .NET Core 2.1 RC with improvements to performance, support for ARM processors like Raspberry Pi 2, Docker image updates, and new cryptography APIs.
2. An overview of the .NET Core family including ASP.NET Core 2.1 being the fastest web framework, ASP.NET Core SignalR support, and new features in Entity Framework Core 2.1.
3. The roadmap for .NET Core 3.0 which will include full access to Windows 10 APIs, using UWP controls in WPF and Windows Forms, self-contained applications, and migration of
The document discusses serverless architecture and how a company called Vingle adapted it. It provides an overview of serverless concepts like AWS Lambda and discusses how Vingle built different microservices like an interest service and search service using a serverless approach with AWS Lambda and DynamoDB. It also discusses some challenges of using this approach like sharing models between services, dealing with massive amounts of code, and migrating data.
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.
The document outlines the steps to deploy a machine learning model in Azure ML Service:
1. Create a deployment workspace separate from the training workspace.
2. Register the trained model to the container registry in the deployment workspace.
3. Create a Python scoring script to consume the model and score new data.
4. Create a YAML file specifying the Python dependencies and build a container image.
5. Deploy the model as a web service using the container image.
The document discusses Docker and Azure. It provides an overview of Docker's architecture including registries, images and containers. It describes how Docker can be used to implement microservices with a layered architecture. It then discusses using private registries like Docker Hub or building your own, as well as Azure Container Registry. It demonstrates running dockerized applications on a single VM, cluster with orchestrator, or Azure Container Service. It also demonstrates a CI/CD pipeline and questions are taken at the end.
Presented at EclipseCon 2014, and an update to my EclipseCon 2013 presentation. I covered the latest tools for working with Java on Microsoft Azure, including our Plugin for Eclipse, options in Windows and Linux for authentication, security, and continuous integration, an introduction to the Java Developer Center for Azure, the Azure SDK for Java, and other tools and materials we've developed for Java developers with help from the community. We showed a number of working examples and tips and tricks for building, deploying, connecting, and maintaining Java applications in Eclipse, including multi-tier, and multiplatform Web applications that access data, servers and services in the cloud.
Service Management Automation (SMA) from zero to heroMichael Rüefli
An introduction on the architecture, deployment and best practice deploying SMA to automate clouds and datacenters. How to install is covered too as well as basics on Powershell workflows.
This document provides an introduction to AWS Lambda and the Serverless Framework. It defines serverless computing and discusses key differences between Platform as a Service (PaaS) and serverless models. AWS Lambda is introduced as Amazon's serverless compute platform, and other serverless platform providers are listed. The Serverless Framework is described as a development toolkit for building, managing and deploying serverless applications. Sample code and a serverless.yml configuration file are shown.
Mva best practices in planning hybrid cloud infrastructuresswapnilrkambli
This document provides information about Microsoft cloud services and tools for building private and hybrid clouds. It includes URLs and descriptions for Microsoft Azure, Windows Server, System Center, virtualization, identities and development. It also outlines how to use System Center to create and manage private clouds and build hybrid clouds integrating on-premise and Microsoft Azure infrastructure.
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
Meetup Estonia, talk about Azure AKS and ACI ConnectorEvgeny Rudinsky
Bursting from AKS to ACI with the Virtual Kubelet – instruction how to get started with virtual kubelet and AKS
Virtual kubelet project on github
Virtual kubelet explained
Azure Portal (you can get started with free money on it first time)
Azure Pricing Calculator – to estimate your expenses
AWS Fargate and EKS
Kubectl cheat sheet
Lets talk about: Azure Kubernetes Service (AKS)Pedro Sousa
The document discusses the evolution of container technologies over time, including Kubernetes. It then summarizes several Azure services for containers including Azure Kubernetes Service (AKS), Azure Container Instances (ACI), and Web App for Containers. The remainder of the document focuses on AKS, providing an overview and roadmap for implementing the AKS solution on Azure.
Modernizing existing .NET applications with Windows Containers and Azure cloudMicrosoft Tech Community
This document provides an overview and objectives for a session on modernizing existing .NET Framework applications with Windows Containers. The session will cover containerizing .NET apps and deploying them to various Azure environments, including Azure VM, Azure Container Instances, Azure Service Fabric mesh, and Azure App Service. It will also discuss recommendations for choosing Azure compute platforms and orchestrators when modernizing apps. The document outlines deployment scenarios, tools for containerizing apps, and Microsoft's guidance on modernizing .NET applications to the cloud through containers.
This session will cover the development & deployment of containerized ASP.NET Core 6 apps using Docker and Azure and architectural design & implementation approaches using .NET and Docker containers. The different services to deploy on Azure like Azure Container Registry, Azure Container instance, Azure Container Apps, and Azure Kubernetes Services as an orchestrator will be reviewed. We will also create the different resources and explore the different tools and properties if attendees prefer not to use Docker-Compose.yml. Then we will deploy our application that's based on Docker images using Azure App Service. And finally, we will configure continuous deployment for our web app with a webhook that monitors changes to the Docker image.
https://conferences.techwell.com/archives/agiledevopswest-2023/program/concurrent-sessions/build-containerized-applications-using-docker-and-azure-agile-devops-west-2023.html
El camino a las Cloud Native Apps - Application modernization on Azure with c...Plain Concepts
This document discusses Docker containers and various Azure services for running containers in the cloud, including:
- Azure Container Instances (ACI) which allows running containers on demand without managing servers.
- Azure Kubernetes Service (AKS) which provides fully managed Kubernetes orchestration.
- Azure Web Apps which allows easily deploying and running containerized apps that scale.
- Azure Batch for running non-container tasks without managing infrastructure.
- Azure Service Fabric for running Windows and Linux containers for stateless and stateful microservices.
This document provides an overview and agenda for a deep dive into Kubernetes on Azure. It discusses the architecture of Azure Kubernetes Service (AKS) clusters, including node pools and integration with Azure Virtual Networks. It also covers using Helm for package management and deploying applications from source code to Kubernetes. The presenter provides their background and experience with Azure, Kubernetes, containers, and DevOps. They conclude by demonstrating Kubernetes concepts and use cases.
2020-02-10 Java on Azure Solution BriefingEd Burns
This document provides an overview of running Java workloads on Microsoft Azure. It discusses using virtual machines, containers (Azure Kubernetes Service and Azure Container Instances), and managed services (Azure Spring Cloud and Azure Functions). It also covers DevOps tools integration, IDE support, sample solutions, and pathways for migrating existing applications or developing new applications on Azure.
If you want to see and learn the future of service delivery and automation, you should definitively join this session to see how you can leverage new technology like network virtualization with GRE (NVGRE) and self-service deployment of complex workloads with Windows Azure Pack. Automation is key to maximize your investment in Windows Server and System Center, which Windows Azure Pack is all about. This session is tailored at service providers, enterprises and for the general public who wants to learn more about the future of cloud computing
Introduction of Windows azure and overviewVishal Tandel
This document discusses Microsoft's cloud computing services, including Windows Azure. Windows Azure is described as an operating system for the cloud that provides automatic provisioning and management of resources. Key services on Windows Azure include SQL Azure for scalable database services, storage options, and an application development platform called AppFabric. The document also outlines how .NET, PHP, Java, and Tomcat applications can be deployed on Windows Azure and run on virtual machines. It concludes by discussing how researchers can get started with cloud computing using options like Windows Azure virtual machines and cloud services.
Making sense of containers, docker and Kubernetes on Azure.Nills Franssens
This document provides an overview of Azure container services and tools for developing, deploying and managing containerized applications on Azure. It introduces Azure Container Service (AKS) for deploying and managing Kubernetes clusters, Azure Container Instances (ACI) for running containers without managing infrastructure, and Azure Container Registry for storing container images. It also discusses tools like Draft, Helm and Promitor that simplify container development, deployment and monitoring processes on Azure.
Immutable pattern in IT infrastructure architecture. Building own OS'es and containers to deliver software.
Examples for delivery pipelines. Pros and cons for containers and configuration managers. Docker, Ansible, Chef, AWS CloudFormation, GCE, Terraform.
Title: Making Kubernetes Easier
Kubernetes. Wonderful technology but the learning curve to production may be long. In this session we'll look at how we partnered with the community to make it easier, from setting up collaborative development environments and ensuring DevOps, to scaling production in unpredictable scenarios, while keeping it under good monitoring from the moment you spin it up. Demos and code heavy.
Azure dev ops integrations with JenkinsDamien Caro
The document discusses various ways to integrate Jenkins with Azure services. It describes the Azure Storage, Slave, and Container Service plugins that help with continuous integration and deployment workflows. It also mentions that the Azure Slave v2 plugin, Azure Container Service plugin, and Azure DevOps integrations portal will soon be available in public preview, while an Azure Jenkins image is already in the Azure Marketplace. NASA's JPL uses Jenkins with Azure services like storage and virtual machines for continuous integration of their Mars terrain pipeline code.
[2020 Ignite Seoul]Azure에서 사용할 수 있는 컨테이너/오케스트레이션 기술 살펴보기명신 김
This document discusses various Azure services for containers including Azure Container Registry (ACR), Azure Container Instances (ACI), Azure Kubernetes Service (AKS), and Azure App Service. ACR allows users to manage a private container registry as a first-class Azure resource. ACI provides a way to run containers without having to manage infrastructure. AKS simplifies Kubernetes deployment and management by focusing on containers instead of infrastructure. Azure App Service allows users to deploy and scale containerized web applications.
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
Navigating in the sea of containers in azure when to choose which service and...Karl Ots
As presented on 21st of March 2018 at TechDays Finland.
There’s a plethora of Container-related services available in Azure. Azure Container Instance, Azure Container Registry, and Azure Container Service to name a few. It can be hard to get your head around all of them, especially if you come from Microsoft background as I did. I will cover each of these services in this talk, explain their differencies and help you figure out which scenarios they fit best. If you’re new to Containers, you should feel more comfortable around them after this session.
Similar to Microsoft Azure Developer Camp - Modern Computing in Azure (20)
Azure Kubernetes Service (AKS) - Co słychać na początku 2020?Lukasz Kaluzny
Slajdy z wystąpienia "Azure Kubernetes Service (AKS) - Co słychać na początku 2020?" prezentowane na 38 spotkanie Microsoft Azure User Group Poland w Warszawie.
Fundamentals of Kuberneteson Microsoft AzureLukasz Kaluzny
This document summarizes a presentation about Kubernetes on Microsoft Azure. It discusses how Azure Kubernetes Service (AKS) makes deploying and managing Kubernetes easy with features like auto-scaling, global data centers, and integrated services. It provides an example of a Polish company called Synerise that uses Azure to power its AI-powered marketing platform, processing over 100,000 data inputs per second and improving conversion rates for customers. Resources for learning more about containers on Azure are also listed.
This document summarizes a presentation on Kubernetes 101. The presentation introduces containers and Kubernetes, defines key Kubernetes concepts like pods and services, and explains how managed Kubernetes works on Microsoft Azure. It was given by Łukasz Kałużny, an MVP in Microsoft Azure and Cloud Technology Leader at Beyond.pl, at the 2019 SQLDay conference.
This document contains the agenda for the SQLDay 2018 conference. It lists the gold, silver, and bronze sponsors of the event, as well as the strategic partner. It then includes slides on various topics that will be presented, including Kubernetes for data scientists, containers, Docker, GPU and Docker, Kubernetes architecture, deploying to Kubernetes, autoscaling in Kubernetes, Kubeflow, JupyterHub, Tensorflow Training Controller, and Tensorflow Serving. It concludes with a thank you slide.
Najczęściej popełniane błędy przy wykorzystywaniu IaaS w Microsoft AzureLukasz Kaluzny
W trakcie swoje codziennej pracy często spotykamy się z problemami takimi jak rozwiązania, w których błędna konfiguracja skutkuje brakiem SLA, problemami z wydajnością różnych elementów czy nawet sytuacje, w których backup znika w niewyjaśnionych okolicznościach. Podczas sesji, bazując na doświadczeniu własnym i płynącym z wielogodzinnych dyskusji oraz sesji diagnostycznych z innymi osobami zajmującymi się chmurą publiczną, Łukasz opowie o najczęściej popełnianych błędach podczas użycia IaaS w Microsoft Azure.
Jak zbudować aplikacje z wykorzystaniem funkcjonalności windows server 2016...Lukasz Kaluzny
Zagadnienia:
Nowe funkcjonalności Microsoft Windows Server 2016 w kontekście budowy aplikacji typu cloud-native:
Zastosowanie Nano Servera, czyli odchudzonej wersji Windows Server 2016, oszczędniej korzystającej z zasobów IT.
Uruchamianie na Nano Serwerach WS2016 aplikacji napisanych w .NET, Javie, Pythonie (Django) czy JavaScript (Node.js).
Migracja - bez konieczności zmiany kodu - istniejących aplikacji do architektury opartej o kontenery. Kontenery to rozwiązania oparte na szybkiej wirtualizacji na poziomie procesów. Nie tworzą dodatkowych instancji jądra systemu operacyjnego. Na tym samym hoście można uruchomić większą ilość kontenerów niż maszyn wirtualnych. Uruchamianie i zamykanie kontenera jest też znacznie szybsze, niż uruchamianie i zamykanie maszyny wirtualnej.
Wspólna praca developerów i administratorów nad produktem, czyli DevOps z wykorzystaniem Windows Server 2016 i Visual Studio Team Services w chmurze Azure. Automatyczne budowanie obrazów kontenerów dla każdego nowego kodu i wdrażania ich w różne środowiska
Łatwiejsze zarządzanie obciążeniami aplikacji pomiędzy zasobami we własnej infrastrukturze i w chmurze Azure dzięki WS2016 oraz Azure Service Fabric.
Funkcjonalności Windows Server 2016 powstałe z myślą o wygodzie administratorów:
Nowa wersja PowerShell 5.0 - przynosząca lepsze funkcjonowanie powłoki linii poleceń oraz udoskonalony język skryptowy,
Azure Remote Server Management Tools – zdalne zarządzanie Nano i Windows Server 2016 z Azure,
PowerShell Direct,
Nested Virtualization jako wsparcie ułatwienia nauki i testów.
Introduction to Azure Resource Manager, Global Azure Bootcamp 2016.04Lukasz Kaluzny
Introduction to Azure Resource Manager presented at Global Azure Bootcamp 2016 in Warsaw, Poland.
Basics about deploying services and their organization and control with the help of Azure Resource Manager.
Budowanie szablonów Azure Resource Manager w praktyce od podstawLukasz Kaluzny
Prezentacja o budowaniu szablonów Azure Resource Manager w praktyce od podstaw z trzeciego spotkania Microsoft Azure User Group Poland w Warszawie.
Materiały:
http://blog.kaluzny.pro/budowanie-szablonow-azure-resource-manager-w-praktyce-od-podstaw
https://github.com/kaluzaaa/arm-WebAppForArmDemo
https://github.com/kaluzaaa/WebAppForArmDemo
This document provides an overview of containers and Microsoft's approach to containers on Windows Server. It discusses how Windows Server containers leverage Hyper-V isolation without the overhead of full virtual machines. It also demonstrates how to use PowerShell to create and manage Windows containers, build container images, and set up basic networking. The key technologies discussed are Windows Server containers, Docker, and Microsoft's container platform strategy across Azure, on-premises, and hybrid scenarios.
Presentation about the basics of Azure Resource Manager Presented on "Cloud Community Conference 2015".
Slides based on presenation of Ryan Jones from Build 2015.
Prezentacja o transformacja wewnętrznego IT i usług w ITMAGINATION do Microsoft Azure oraz Office 365.
Zaprezentowane na konferencji "Bezpieczny kierunek rozwoju infrastruktury IT"
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Communications Mining Series - Zero to Hero - Session 1DianaGray10
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex ProofsAlex Pruden
This paper presents Reef, a system for generating publicly verifiable succinct non-interactive zero-knowledge proofs that a committed document matches or does not match a regular expression. We describe applications such as proving the strength of passwords, the provenance of email despite redactions, the validity of oblivious DNS queries, and the existence of mutations in DNA. Reef supports the Perl Compatible Regular Expression syntax, including wildcards, alternation, ranges, capture groups, Kleene star, negations, and lookarounds. Reef introduces a new type of automata, Skipping Alternating Finite Automata (SAFA), that skips irrelevant parts of a document when producing proofs without undermining soundness, and instantiates SAFA with a lookup argument. Our experimental evaluation confirms that Reef can generate proofs for documents with 32M characters; the proofs are small and cheap to verify (under a second).
Paper: https://eprint.iacr.org/2023/1886
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AIVladimir Iglovikov, Ph.D.
Presented by Vladimir Iglovikov:
- https://www.linkedin.com/in/iglovikov/
- https://x.com/viglovikov
- https://www.instagram.com/ternaus/
This presentation delves into the journey of Albumentations.ai, a highly successful open-source library for data augmentation.
Created out of a necessity for superior performance in Kaggle competitions, Albumentations has grown to become a widely used tool among data scientists and machine learning practitioners.
This case study covers various aspects, including:
People: The contributors and community that have supported Albumentations.
Metrics: The success indicators such as downloads, daily active users, GitHub stars, and financial contributions.
Challenges: The hurdles in monetizing open-source projects and measuring user engagement.
Development Practices: Best practices for creating, maintaining, and scaling open-source libraries, including code hygiene, CI/CD, and fast iteration.
Community Building: Strategies for making adoption easy, iterating quickly, and fostering a vibrant, engaged community.
Marketing: Both online and offline marketing tactics, focusing on real, impactful interactions and collaborations.
Mental Health: Maintaining balance and not feeling pressured by user demands.
Key insights include the importance of automation, making the adoption process seamless, and leveraging offline interactions for marketing. The presentation also emphasizes the need for continuous small improvements and building a friendly, inclusive community that contributes to the project's growth.
Vladimir Iglovikov brings his extensive experience as a Kaggle Grandmaster, ex-Staff ML Engineer at Lyft, sharing valuable lessons and practical advice for anyone looking to enhance the adoption of their open-source projects.
Explore more about Albumentations and join the community at:
GitHub: https://github.com/albumentations-team/albumentations
Website: https://albumentations.ai/
LinkedIn: https://www.linkedin.com/company/100504475
Twitter: https://x.com/albumentations
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
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
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!SOFTTECHHUB
As the digital landscape continually evolves, operating systems play a critical role in shaping user experiences and productivity. The launch of Nitrux Linux 3.5.0 marks a significant milestone, offering a robust alternative to traditional systems such as Windows 11. This article delves into the essence of Nitrux Linux 3.5.0, exploring its unique features, advantages, and how it stands as a compelling choice for both casual users and tech enthusiasts.
3. Agenda
• VM Image Builder
• AKS and Virtual Nodes
• Project KEDA
• New capabilities of Azure AppService
• Consumption based API Management
Five demos – again!
4.
5. Source Customize Distribute
RHEL ISO
Azure Base
Linux Images
e.g. Ubuntu
18.04
Shared
Image
Gallery
Managed
Image
VM
VM
User Shell Scripts VM
VM
Azure VM Image Builder
Existing Image
(Coming soon)
Image Lifecyle Management (Coming Soon)
6. Submit
ImageTemplate
Create &
Store
Template
Create Image Template
RUN
ImageTemplate
Build
Template
Source
Customizations
Distributions
RUN
Image
Build
Create
Build
Pipeline
Managed
Image
Shared
Image
Gallery
ImageBuilder
ResourceProvider
Azure VM Image Builder
Service
1
2
3
7.
8.
9.
10. Azure Container Instances (ACI)
Easily run serverless containers
Containers as a primitive
billed per second
Secure applications with
hypervisor isolation
Run containers without
managing servers
11. Manage Kubernetes with ease
• The Virtual Node schedules pods on
Azure Container Instances
• All is managed by Azure
API server
Controller
ManagerScheduler
etcd
Store
Cloud
Controller
Self-managed master node(s)
Customer VMs
App/
workload
definitionUser
Schedule pods over
private tunnel
Kubernetes API
endpoint
Azure managed control plane
Virtual Node
Docker
Pods
Docker
Pods
kubelet kube-proxy
VM
Docker
Pods
Docker
Pods
kubelet kube-proxy
VM
Docker
Pods
Docker
Pods
kubelet
kube-proxy
Azure Container Instances
Schedule pods over
private tunnel
Virtual Node
Azure managed