The document discusses various options for managing resources on Microsoft Azure, including the Azure Portal, PowerShell, Microsoft Azure Management Libraries (MAML), and Azure Resource Manager (ARM). It provides demonstrations of creating and managing resources using the Portal, PowerShell, MAML, and ARM. Challenges with current management options and the benefits of ARM templates for defining dependencies and orchestrating resource provisioning are also outlined.
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.
This document provides an overview of containers and microservices, including what they are, how they work, advantages over virtual machines, security considerations, and relevant use cases. Containers use operating system virtualization to share resources and isolate applications instead of full hardware virtualization. They have benefits like lighter weight and faster deployment compared to virtual machines. The document discusses Docker and microservices architecture and references Cisco projects like Contiv that provide container networking and infrastructure orchestration.
2011.05.31 super mondays-servicebus-demodaveingham
Presentation by David Ingham demonstrating the messaging features (queues, topics) of Windows Azure AppFabric Service Bus. Given at SuperMondays, Gateshead, UK on May 31, 2011.
Sweet! Running SugarCRM on the Amazon Cloud | SugarCon 2011SugarCRM
Everybody is talking about the Cloud, how it offers infinite scalability and storage and makes it trivial to run hundreds of load balanced servers.
Those of us who are not Zynga or Netflix are generally concerned with more down-to-earth issues such as how to maintain up to date backups, keep an eye on monitoring and minimizing the costs of running our applications in the cloud. This presentation will walk attendees through the tools and services available from the Amazon Cloud and how they can be leveraged to host and manage SugarCRM in the Cloud. It will draw from our experience packaging BitNami stacks, which have been deployed millions of times and power the leading commercial open source companies, including SugarCRM.
Presented by Daniel Lopez, Founder and CTO, BitRock, at SugarCon 2011.
Deploying, Scaling, and Managing Many Instances of SugarCRM in the CloudTobias Kunze Briseño
This document discusses deploying, scaling, and managing multiple instances of SugarCRM in the cloud. It introduces Makara, a cloud application platform that provides integrated management capabilities. Makara enables developers, operators, and partners to offer SugarCRM in a cloud that they manage and control. It addresses challenges like provisioning, deployment, configuration, and monitoring of applications running in the cloud at scale.
New Fission Capabilities Accelerate Deployment of Serverless ComputingPlatform9
In the new version of Fission, Platform9 has introduced two major capabilities which further enable developers to accelerate their deployment of serverless computing:
Fission declarative specifications & Function auto-scaling
The document discusses various options for managing resources on Microsoft Azure, including the Azure Portal, PowerShell, Microsoft Azure Management Libraries (MAML), and Azure Resource Manager (ARM). It provides demonstrations of creating and managing resources using the Portal, PowerShell, MAML, and ARM. Challenges with current management options and the benefits of ARM templates for defining dependencies and orchestrating resource provisioning are also outlined.
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.
This document provides an overview of containers and microservices, including what they are, how they work, advantages over virtual machines, security considerations, and relevant use cases. Containers use operating system virtualization to share resources and isolate applications instead of full hardware virtualization. They have benefits like lighter weight and faster deployment compared to virtual machines. The document discusses Docker and microservices architecture and references Cisco projects like Contiv that provide container networking and infrastructure orchestration.
2011.05.31 super mondays-servicebus-demodaveingham
Presentation by David Ingham demonstrating the messaging features (queues, topics) of Windows Azure AppFabric Service Bus. Given at SuperMondays, Gateshead, UK on May 31, 2011.
Sweet! Running SugarCRM on the Amazon Cloud | SugarCon 2011SugarCRM
Everybody is talking about the Cloud, how it offers infinite scalability and storage and makes it trivial to run hundreds of load balanced servers.
Those of us who are not Zynga or Netflix are generally concerned with more down-to-earth issues such as how to maintain up to date backups, keep an eye on monitoring and minimizing the costs of running our applications in the cloud. This presentation will walk attendees through the tools and services available from the Amazon Cloud and how they can be leveraged to host and manage SugarCRM in the Cloud. It will draw from our experience packaging BitNami stacks, which have been deployed millions of times and power the leading commercial open source companies, including SugarCRM.
Presented by Daniel Lopez, Founder and CTO, BitRock, at SugarCon 2011.
Deploying, Scaling, and Managing Many Instances of SugarCRM in the CloudTobias Kunze Briseño
This document discusses deploying, scaling, and managing multiple instances of SugarCRM in the cloud. It introduces Makara, a cloud application platform that provides integrated management capabilities. Makara enables developers, operators, and partners to offer SugarCRM in a cloud that they manage and control. It addresses challenges like provisioning, deployment, configuration, and monitoring of applications running in the cloud at scale.
New Fission Capabilities Accelerate Deployment of Serverless ComputingPlatform9
In the new version of Fission, Platform9 has introduced two major capabilities which further enable developers to accelerate their deployment of serverless computing:
Fission declarative specifications & Function auto-scaling
The document discusses strategies for scaling Alfresco web content management deployments. It covers types of scalability including horizontal and vertical scaling. Horizontal scaling involves adding more servers while vertical scaling means adding more resources to individual servers. The document provides blueprints for scaling static and dynamic sites using techniques like load balancing, replication to multiple file system receivers and dynamic site servers, and caching. It also addresses how to determine whether replication or clustering is better suited for a given deployment.
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.
Windows Azure is an operating system for building and hosting scalable cloud applications and services. It handles the deployment, availability, patching and hardware configuration of applications in the cloud so developers can focus on writing code. Windows Azure provides flexible and scalable computing and storage resources that can easily expand or contract based on demand. It also allows applications to be built using a variety of languages and tools and supports both new cloud services and existing applications migrated to the cloud.
Developing a CloudHub Application
The guide covers:
1) Specifying a Host address of 0.0.0.0 for CloudHub routing.
2) Providing an external HTTP/HTTPS port using ${http.port} or ${https.port} which is assigned by CloudHub.
3) Running applications locally by defining properties in mule-app.properties, including http.port or https.port.
Deploying .net application using VSTS on ACS in kubernetesgirish goudar
This document provides an agenda for running a sample .NET Core application locally in containers and deploying it to Azure Kubernetes Service using Visual Studio Team Services. It discusses running the Dockerized application locally in Docker Tools for Visual Studio or IntelliJ and debugging containers. It also provides an overview of key Kubernetes concepts like pods, replication controllers, deployments and services for deploying the containerized application to AKS.
This document discusses virtual machines and cloud computing. It lists several operating systems that can be used as virtual machines, including Windows Server, SQL Server, OpenSUSE, CentOS, Ubuntu, and SUSE Linux. It explains how virtual machines can run both on-premises and in the cloud, and how common base images allow for identical deployment instances. It also promotes building and deploying web applications in virtual machines in the cloud using technologies like ASP.NET, Node.js, PHP, with the ability to easily scale applications as traffic grows. The document ends by thanking the reader and providing contact information for Ibrahim Atay.
This document provides an overview of developing applications for the Windows Azure platform. It discusses Windows Azure basics, code walkthroughs of sample applications using ASP pages, WCF services, queues and topics. The key topics covered are Windows Azure architecture and capabilities, developing and deploying .NET applications to the cloud using Visual Studio, and leveraging services like Storage, Service Bus and Cloud Services.
Windows Azure Platform ile Uygulama Yayınlama Süreçleriİbrahim ATAY
A'dan Z'ye Windows Azure ile Uygulama Süreçleri
http://www.ibrahimatay.com/post/2013/03/windows-azure-platform-ile-uygulama-yayinlama-surecleri-internet-semineri-notlari/
Windows Azure Platform ile Uygulama Yayınlama Süreçleri Internet Semineri Notları
http://www.ibrahimatay.com/category/a-dan-z-ye-windows-azure-ile-uygulama-surecleri/
The document defines and compares three common cloud computing models: Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). It shows that IaaS involves hosting infrastructure, PaaS involves building platforms, and SaaS involves consuming software. A table further outlines the differences, showing that IaaS involves managing servers and networking while PaaS and SaaS involve less management responsibility from the customer. The document also includes diagrams illustrating compute usage over time for IaaS, PaaS and SaaS models.
Azure Service Fabric is a distributed systems platform for packaging, deploying, and managing microservices and containers at scale. It allows building applications as microservices that are deployed as highly scalable and reliable services. Service Fabric handles scaling and management of the services across a cluster of virtual or physical machines. It supports stateless and stateful services using various programming models. Applications can be deployed and upgraded on Azure or on-premises clusters using Service Fabric's rolling upgrade feature to maintain availability.
This document discusses LoopBack, an API framework for Node.js that is based on Express. It provides an overview of what needs to be installed to use LoopBack, including Node.js, VS Code, an API testing client, and MySQL. It then discusses LoopBack's core functionality and modules for modeling data, application initialization, middleware execution, connecting to data sources, integration, and client SDKs. It also covers how to create a LoopBack application, define models and relationships, connect models to data sources, and implement user authentication and access control.
Introduction into Windows Azure Pack and Service Management AutomationMichael Rüefli
This document discusses Windows Azure Pack and Service Management Automation. It provides an overview of private cloud solutions and capabilities brought by Windows Azure Pack such as Infrastructure as a Service, Platform as a Service, and Software as a Service. It also summarizes key features of Service Management Automation for automating and extending private cloud services. The document concludes with a demonstration of Windows Azure Pack capabilities for infrastructure as a service.
Get Queue List from Microsoft Azure using Mule ESBSanjeet Pandey
This document discusses how to get a queue list from Microsoft Azure using Mule ESB. It describes prerequisites like needing an Azure account. It explains how to create an Azure namespace and get shared access keys. It also discusses configuring the Mule Azure connector, creating a flow to call the Azure service and fetch the queue list, and provides an example XML flow.
DevDay 2016: Adam Bien - Eine sprachneutrale Essenz der MicroservicesDevDay Dresden
O.k. wir starten nun ein Microservice Projekt. Was ist genau zu tun? Wie startet man ein Projekt? Worauf ist zu achten? Was sind die wesentlichen Unterschiede zu der Prä-Microservice Ära? Brauchen wir doch Transaktionen? Was machen wir mit der DB? Gibt es shared Libraries? In dieser Keynote wurden möglichst konkret, allerdings garantiert ohne Java EE (=der perfekten Java EE Plattform :-)) Microservice Konzepte und Patterns wie Bulkheads, Circuit Breaker oder Tolerant Reader vorgestellt.
The Anypoint Connector DevKit allows developers to build and package reusable connectors within Anypoint Studio using an intuitive interface. It provides code templates, sample projects, and real-time error highlighting to help developers build connectors quickly. Developers can also use wizards to package WSDL files into connectors, automatically generate test cases and documentation, and test connectors using a QA framework. Completed connectors can then be easily deployed, reused, and shared within an organization from Anypoint Studio.
Windows Azure is Microsoft's cloud computing platform, consisting of several key services:
- Windows Azure, the cloud operating system running on servers across data centers, seen as compute and storage services.
- AppFabric, enabling integration of on-premise and cloud services using service bus and access control.
- SQL Azure, a cloud database based on SQL Server.
- A new "Dallas" service, a marketplace for publishing, discovering, consuming, and analyzing content.
This document discusses components and tools for creating and deploying apps in Windows Azure. It covers Azure compute and storage services, including different role types, blobs, tables, queues and drives. It also discusses the management portal, developer experience using .NET, SQL Server and WCF, and tools like the Azure SDK, Visual Studio, storage and compute emulators. Project templates, the management portal interface and local development are also summarized.
Lessons from migrating container applications to azureChristoph Schittko
This document discusses moving containerized applications from an on-premises architecture to Azure Container Service (ACS). It outlines the customer's existing on-premises solution, challenges with moving to ACS, and how ACS-Engine was used to build a highly customizable cluster topology. Key aspects covered include using agent pools for cost efficiency, handling persistent data needs, advanced node configuration, and exposing services externally using load balancers and service discovery. The outcome was successfully deploying over 2300 compute cores and 100TB of storage on ACS to meet the customer's goals.
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.
Mule ESB provides a standard framework that simplifies integration architecture. It allows for faster and more robust integration. Mule ESB can expose and host reusable services using its lightweight service container. It can transform data across different formats and protocols. Mule Studio offers a graphical drag-and-drop interface for creating, editing, and testing Mule ESB flows without an in-depth knowledge of Mule configuration. Mule ESB is a full integration platform, whereas Spring Integration is intended for smaller-scale integration within Spring applications. Mule ESB supports more transports and transformations for more complex integrations.
This document discusses containers and their use on Azure. It introduces Azure services for containers like Azure Kubernetes Service (AKS) for orchestrating containers, Azure Container Instances (ACI) for running containers without managing infrastructure, and Azure Container Registry for storing container images. It highlights how these services provide flexibility, productivity and trust for developing, deploying and managing containerized applications on Azure at scale.
This document discusses containers and how they can be used to run applications in Microsoft Azure. It explains that containers package an application and its dependencies to run consistently across development, test, and production environments. Containers allow developers to package applications once and run them anywhere using the same tooling for both Linux and Windows. The document also outlines how containers can be orchestrated in Azure using services like Container Service, Service Fabric, Kubernetes, and Swarm.
The document discusses strategies for scaling Alfresco web content management deployments. It covers types of scalability including horizontal and vertical scaling. Horizontal scaling involves adding more servers while vertical scaling means adding more resources to individual servers. The document provides blueprints for scaling static and dynamic sites using techniques like load balancing, replication to multiple file system receivers and dynamic site servers, and caching. It also addresses how to determine whether replication or clustering is better suited for a given deployment.
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.
Windows Azure is an operating system for building and hosting scalable cloud applications and services. It handles the deployment, availability, patching and hardware configuration of applications in the cloud so developers can focus on writing code. Windows Azure provides flexible and scalable computing and storage resources that can easily expand or contract based on demand. It also allows applications to be built using a variety of languages and tools and supports both new cloud services and existing applications migrated to the cloud.
Developing a CloudHub Application
The guide covers:
1) Specifying a Host address of 0.0.0.0 for CloudHub routing.
2) Providing an external HTTP/HTTPS port using ${http.port} or ${https.port} which is assigned by CloudHub.
3) Running applications locally by defining properties in mule-app.properties, including http.port or https.port.
Deploying .net application using VSTS on ACS in kubernetesgirish goudar
This document provides an agenda for running a sample .NET Core application locally in containers and deploying it to Azure Kubernetes Service using Visual Studio Team Services. It discusses running the Dockerized application locally in Docker Tools for Visual Studio or IntelliJ and debugging containers. It also provides an overview of key Kubernetes concepts like pods, replication controllers, deployments and services for deploying the containerized application to AKS.
This document discusses virtual machines and cloud computing. It lists several operating systems that can be used as virtual machines, including Windows Server, SQL Server, OpenSUSE, CentOS, Ubuntu, and SUSE Linux. It explains how virtual machines can run both on-premises and in the cloud, and how common base images allow for identical deployment instances. It also promotes building and deploying web applications in virtual machines in the cloud using technologies like ASP.NET, Node.js, PHP, with the ability to easily scale applications as traffic grows. The document ends by thanking the reader and providing contact information for Ibrahim Atay.
This document provides an overview of developing applications for the Windows Azure platform. It discusses Windows Azure basics, code walkthroughs of sample applications using ASP pages, WCF services, queues and topics. The key topics covered are Windows Azure architecture and capabilities, developing and deploying .NET applications to the cloud using Visual Studio, and leveraging services like Storage, Service Bus and Cloud Services.
Windows Azure Platform ile Uygulama Yayınlama Süreçleriİbrahim ATAY
A'dan Z'ye Windows Azure ile Uygulama Süreçleri
http://www.ibrahimatay.com/post/2013/03/windows-azure-platform-ile-uygulama-yayinlama-surecleri-internet-semineri-notlari/
Windows Azure Platform ile Uygulama Yayınlama Süreçleri Internet Semineri Notları
http://www.ibrahimatay.com/category/a-dan-z-ye-windows-azure-ile-uygulama-surecleri/
The document defines and compares three common cloud computing models: Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). It shows that IaaS involves hosting infrastructure, PaaS involves building platforms, and SaaS involves consuming software. A table further outlines the differences, showing that IaaS involves managing servers and networking while PaaS and SaaS involve less management responsibility from the customer. The document also includes diagrams illustrating compute usage over time for IaaS, PaaS and SaaS models.
Azure Service Fabric is a distributed systems platform for packaging, deploying, and managing microservices and containers at scale. It allows building applications as microservices that are deployed as highly scalable and reliable services. Service Fabric handles scaling and management of the services across a cluster of virtual or physical machines. It supports stateless and stateful services using various programming models. Applications can be deployed and upgraded on Azure or on-premises clusters using Service Fabric's rolling upgrade feature to maintain availability.
This document discusses LoopBack, an API framework for Node.js that is based on Express. It provides an overview of what needs to be installed to use LoopBack, including Node.js, VS Code, an API testing client, and MySQL. It then discusses LoopBack's core functionality and modules for modeling data, application initialization, middleware execution, connecting to data sources, integration, and client SDKs. It also covers how to create a LoopBack application, define models and relationships, connect models to data sources, and implement user authentication and access control.
Introduction into Windows Azure Pack and Service Management AutomationMichael Rüefli
This document discusses Windows Azure Pack and Service Management Automation. It provides an overview of private cloud solutions and capabilities brought by Windows Azure Pack such as Infrastructure as a Service, Platform as a Service, and Software as a Service. It also summarizes key features of Service Management Automation for automating and extending private cloud services. The document concludes with a demonstration of Windows Azure Pack capabilities for infrastructure as a service.
Get Queue List from Microsoft Azure using Mule ESBSanjeet Pandey
This document discusses how to get a queue list from Microsoft Azure using Mule ESB. It describes prerequisites like needing an Azure account. It explains how to create an Azure namespace and get shared access keys. It also discusses configuring the Mule Azure connector, creating a flow to call the Azure service and fetch the queue list, and provides an example XML flow.
DevDay 2016: Adam Bien - Eine sprachneutrale Essenz der MicroservicesDevDay Dresden
O.k. wir starten nun ein Microservice Projekt. Was ist genau zu tun? Wie startet man ein Projekt? Worauf ist zu achten? Was sind die wesentlichen Unterschiede zu der Prä-Microservice Ära? Brauchen wir doch Transaktionen? Was machen wir mit der DB? Gibt es shared Libraries? In dieser Keynote wurden möglichst konkret, allerdings garantiert ohne Java EE (=der perfekten Java EE Plattform :-)) Microservice Konzepte und Patterns wie Bulkheads, Circuit Breaker oder Tolerant Reader vorgestellt.
The Anypoint Connector DevKit allows developers to build and package reusable connectors within Anypoint Studio using an intuitive interface. It provides code templates, sample projects, and real-time error highlighting to help developers build connectors quickly. Developers can also use wizards to package WSDL files into connectors, automatically generate test cases and documentation, and test connectors using a QA framework. Completed connectors can then be easily deployed, reused, and shared within an organization from Anypoint Studio.
Windows Azure is Microsoft's cloud computing platform, consisting of several key services:
- Windows Azure, the cloud operating system running on servers across data centers, seen as compute and storage services.
- AppFabric, enabling integration of on-premise and cloud services using service bus and access control.
- SQL Azure, a cloud database based on SQL Server.
- A new "Dallas" service, a marketplace for publishing, discovering, consuming, and analyzing content.
This document discusses components and tools for creating and deploying apps in Windows Azure. It covers Azure compute and storage services, including different role types, blobs, tables, queues and drives. It also discusses the management portal, developer experience using .NET, SQL Server and WCF, and tools like the Azure SDK, Visual Studio, storage and compute emulators. Project templates, the management portal interface and local development are also summarized.
Lessons from migrating container applications to azureChristoph Schittko
This document discusses moving containerized applications from an on-premises architecture to Azure Container Service (ACS). It outlines the customer's existing on-premises solution, challenges with moving to ACS, and how ACS-Engine was used to build a highly customizable cluster topology. Key aspects covered include using agent pools for cost efficiency, handling persistent data needs, advanced node configuration, and exposing services externally using load balancers and service discovery. The outcome was successfully deploying over 2300 compute cores and 100TB of storage on ACS to meet the customer's goals.
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.
Mule ESB provides a standard framework that simplifies integration architecture. It allows for faster and more robust integration. Mule ESB can expose and host reusable services using its lightweight service container. It can transform data across different formats and protocols. Mule Studio offers a graphical drag-and-drop interface for creating, editing, and testing Mule ESB flows without an in-depth knowledge of Mule configuration. Mule ESB is a full integration platform, whereas Spring Integration is intended for smaller-scale integration within Spring applications. Mule ESB supports more transports and transformations for more complex integrations.
This document discusses containers and their use on Azure. It introduces Azure services for containers like Azure Kubernetes Service (AKS) for orchestrating containers, Azure Container Instances (ACI) for running containers without managing infrastructure, and Azure Container Registry for storing container images. It highlights how these services provide flexibility, productivity and trust for developing, deploying and managing containerized applications on Azure at scale.
This document discusses containers and how they can be used to run applications in Microsoft Azure. It explains that containers package an application and its dependencies to run consistently across development, test, and production environments. Containers allow developers to package applications once and run them anywhere using the same tooling for both Linux and Windows. The document also outlines how containers can be orchestrated in Azure using services like Container Service, Service Fabric, Kubernetes, and Swarm.
GIDS 2019: Developing Apps with Containers, Functions and Cloud ServicesPatrick Chanezon
The document discusses developer workflows for building cloud applications using containers, functions, and managed cloud services. It presents options for developing applications locally and deploying to the cloud using tools like Docker Desktop, Azure Functions runtime, Azure Dev Spaces, and Telepresence that enable local development and debugging. The document also discusses approaches for packaging and deploying distributed applications using CNAB and Duffle.
AWS Elastic Beanstalk is the fastest and simplest way to get an application up and running on Amazon Web Services. Developers can simply upload their application code and the service automatically handles all the details such as resource provisioning, load balancing, auto-scaling, and monitoring. This session shows you how to connect your Git repository with Amazon Web Services, deploy your code to AWS Elastic Beanstalk, easily enable or disable application functionality, and perform zero-downtime deployments through interactive demos and code samples.
Timothee Cruse, Solutions Architect, Amazon Web Services, ASEAN
This document discusses DevOps and continuous delivery practices using AWS services. It begins by explaining the evolution from monolithic applications to microservices and DevOps. It then provides an overview of AWS services for source control (CodeCommit), continuous integration (CodeBuild), deployment (CodeDeploy), and release management (CodePipeline). It also discusses using CloudFormation for infrastructure as code and best practices for CI/CD pipelines on AWS.
This document discusses how to build an app on AWS for the first 10 million users. It covers key expectations for modern applications like high availability, scalability, and fault tolerance. It then describes various AWS services that can help achieve these expectations, such as Elastic Beanstalk for deployment, RDS or DynamoDB for databases, S3 for storage, API Gateway and Lambda for serverless architectures, and CloudFront for content delivery. The document includes live demos of building web and mobile apps using these AWS services.
This mid-level technical session will help you choose among the AWS services that can help you deploy and run your applications more easily. You will learn how to get an application running using AWS OpsWorks and AWS Elastic Beanstalk and how to use AWS CloudFormation templates to document, version control, and share your application configuration
Dev Ops on AWS - Accelerating Software Delivery - AWS-Summit SG 2017Amazon Web Services
Today’s cutting edge companies have software release cycles measured in days instead of months. This agility is enabled by the DevOps practice of continuous delivery, which automates building, testing, and deploying all code changes. This automation helps you catch bugs sooner and accelerates developer productivity. In this session, we’ll share the processes followed by Amazon engineers and discuss how you can bring them to your company by using AWS CodePipeline and AWS CodeDeploy, services inspired by Amazon's internal developer tools and DevOps culture.
Cloud computing gives you a number of advantages, such as the ability to scale your web application or website on demand. If you have a new web application and want to use cloud computing, you might be asking yourself, "Where do I start?" Join us in this session to understand best practices for scaling your resources from zero to millions of users. We show you how to best combine different AWS services, how to make smarter decisions for architecting your application, and how to scale your infrastructure in the cloud.
This document discusses developer tools at AWS, focusing on AWS Code services and DevOps practices. It provides an overview of DevOps concepts like continuous integration, delivery, and deployment. It then details AWS's own DevOps transformation from 2001-2009 in moving to microservices and automated pipelines. The AWS Code portfolio is introduced, including CodeCommit, CodeBuild, CodeDeploy, CodePipeline and CodeStar. Each service is briefly described in terms of its purpose and how it fits into a continuous delivery workflow.
Deploy, Manage, and Scale Your Apps with OpsWorks and Elastic BeanstalkAmazon Web Services
AWS offers a number of services that help you easily deploy and run applications in the cloud. Come to this session to learn how to choose among these options. Through interactive demonstrations, this session will show you how to get an application running using AWS OpsWorks and AWS Elastic Beanstalk application management services. You will also learn how to use AWS CloudFormation templates to document, version control, and share your application configuration. This session will cover topics like application updates, customization, and working with resources such as load balancers and databases.
Cloud computing gives you a number of advantages, such as the ability to scale your web application or website on demand. If you have a new web application and want to use cloud computing, you might be asking yourself, "Where do I start?" Join us in this session to understand best practices for scaling your resources from zero to millions of users. We show you how to best combine different AWS services, how to make smarter decisions for architecting your application, and how to scale your infrastructure in the cloud.
This document section covers deploying and managing Azure compute resources. It discusses options for high availability like availability zones, virtual machine scale sets, and availability sets. It also covers automating deployment through infrastructure as code using ARM templates, container and web app deployment, and networking options like load balancing and virtual network peering.
A Tale of Two Pizzas: Accelerating Software Delivery with Developer Tools - D...Amazon Web Services
This document provides an overview and summary of developer tools available on AWS, as presented by Hubert Cheung, an AWS Solutions Architect. It discusses the concepts of DevOps and continuous delivery. It describes AWS services like CodeCommit (source control), CodeBuild (build service), CodeDeploy (deployment service), CodePipeline (orchestration of build and deploy pipelines), and CodeStar (management of Code services). The document highlights how these services help automate processes like building, testing, and deploying code through continuous integration and delivery workflows.
The AWS Workshop Series Online is a series of live webinars designed for IT professionals who are looking to leverage the AWS Cloud to build and transform their business, are new to the AWS Cloud or looking to further expand their skills and expertise. In this series, we will cover : "Build a Website on AWS for Your First 10 Million Users".
AWS Elastic Beanstalk is the fastest and simplest way to get an application up and running on Amazon Web Services. Developers can simply upload their application code and the service automatically handles all the details such as resource provisioning, load balancing, auto-scaling, and monitoring. This session shows you how to connect your Git repository with Amazon Web Services, deploy your code to AWS Elastic Beanstalk, easily enable or disable application functionality, and perform zero-downtime deployments through interactive demos and code samples.
This document provides an overview of the Microsoft Windows Azure platform, including its core components and capabilities. It begins with definitions of service-oriented architecture (SOA) and cloud computing. It then discusses the various cloud service models of infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS). The remainder of the document focuses on the key Microsoft Azure services, including Windows Azure, SQL Azure, AppFabric, and connectivity options. It describes how applications can be deployed on Azure and scaled across roles and instances for availability and performance. It also covers core Azure services like storage, tables, queues, and monitoring.
Containers as Infrastructure for New Gen AppsKhalid Ahmed
Khalid will share on emerging container technologies and their role in supporting an agile cloud-native application development model. He will discuss the basics of containers compared to traditional virtualization, review use cases, and explore the open-source container management ecosystem.
Aws User Group Singapore Presentation Oct-21-2020Varun Manik
Copilot Overview
The AWS Copilot command-line interface (CLI) provides application-first, high-level commands to simplify modeling, creating, releasing, and managing production-ready containerized applications on Amazon ECS from a local development environment.
Similar to Containers, microservices and azure (20)
Why uri storage and the modern android appDevFest DC
This document discusses storage and content providers in Android. It notes that content providers were influenced by REST concepts from the web to allow sharing of data between apps via Uris. It outlines how content providers allow accessing data through streams or as database structures. The document also discusses how early Android emphasized files for sharing rather than content providers, but that Android is shifting more towards using content providers and Uris to identify shared content over direct file access.
Myths of Angular 2: What Angular Really IsDevFest DC
This document discusses and debunks several myths about Angular. It explains that Angular supports most modern browsers through polyfills, that there is a migration path from AngularJS, base Angular apps are not necessarily huge in size due to AOT compilation and tree shaking, and Angular provides benefits like speed, cross-platform capabilities, server-side rendering, TypeScript, and strong tooling and community support.
Android Things Robocar with TensorFlow for object recognitionDevFest DC
This document discusses building a robocar using Android Things. It outlines the hardware, software, and community aspects of the project. The hardware section lists the components needed like a Raspberry Pi, motor controller, batteries and wheels. The software section explains how to control the car from an Android device using buttons and includes demos of computer vision algorithms using OpenCV and TensorFlow. The community section encourages joining the online community to collaborate and improve upon the open source project code available on GitHub.
The document provides an introduction to developing Internet of Things (IoT) devices using Android Things. It discusses how Android Things makes it easy to develop connected embedded devices using existing Android development tools and APIs. It also outlines supported hardware platforms, the software development kit, and provides a step-by-step guide to building a sample IoT device app with instructions for setting up a project, connecting hardware, accessing peripherals, and handling button input. The document concludes with recommendations on what to use and avoid when developing for Android Things.
Using Cloud Vision To Watch The World’s News Imagery In Realtime: The GDELT P...DevFest DC
Session 51.
What happens when massive computing power brings together an ever-growing cross-section of the world’s information in realtime, from news media to social media, books to academic literature, the world’s libraries to the web itself, machine translates all of that material as it arrives, and applies a vast array of algorithms to identify the events and emotions, actors and narratives and their myriad connections that define the planet to create a living silicon replica of global society? The GDELT Project (http://gdeltproject.org/), supported by Alphabet’s Jigsaw (formerly Google Ideas), is one of the largest open data initiatives in the world focusing on cataloging and modeling global human society, offering a first glimpse at what this emerging “big data” understanding of society looks like.
Historically GDELT focused on the textual world, mass machine translating everything it monitored globally in 65 languages, using sentiment mining to assess 4,500 different emotions, geocoding mentions of location down to the level of a hilltop, identifying millions of topics and hundreds of event classes and making it all available as an open dataset available through BigQuery and GCS. Yet, imagery and video are increasingly the way global events and narratives are communicated and so we needed a way to go past the text to catalog world events through the eyes of all of that visual material – enter Cloud Vision.
Over the past 17 months we have cataloged more than a quarter billion news images from every corner of the globe, using Cloud Vision to literally watch the world go by each day. From mapping what “land vehicles” look like in every corner of the world to realtime assessment of air and land pollution from the backgrounds of those images to live alerts of flash flooding, earthquakes and other natural disasters with ground truthed estimates of damage severity, to mapping how “happy” or “sad” the news imagery of the world is to differing violence norms to peering into the world’s visual narratives (what are the images picked by each country’s news outlets to discuss Donald Trump?)
Together with early experiments using Cloud Speech and Cloud Natural Language, this talk will dive into how we are using Google Cloud and especially its AI APIs to catalog our world in realtime
Teaching machines to see the process of designing (datasets) with aiDevFest DC
This document summarizes a presentation about teaching machines to see and recognize images using artificial intelligence. It discusses Clarifai, a company that provides image and video recognition services using convolutional neural networks (CNNs). The presentation explains how CNNs can learn representations of images without needing manual feature engineering. It demonstrates how CNNs can be trained to detect safe versus unsafe image content. Finally, it discusses how CNNs have progressed over time to surpass traditional computer vision techniques for tasks like object detection.
Meet up Milano 14 _ Axpo Italia_ Migration from Mule3 (On-prem) to.pdfFlorence Consulting
Quattordicesimo Meetup di Milano, tenutosi a Milano il 23 Maggio 2024 dalle ore 17:00 alle ore 18:30 in presenza e da remoto.
Abbiamo parlato di come Axpo Italia S.p.A. ha ridotto il technical debt migrando le proprie APIs da Mule 3.9 a Mule 4.4 passando anche da on-premises a CloudHub 1.0.
Instagram has become one of the most popular social media platforms, allowing people to share photos, videos, and stories with their followers. Sometimes, though, you might want to view someone's story without them knowing.
Ready to Unlock the Power of Blockchain!Toptal Tech
Imagine a world where data flows freely, yet remains secure. A world where trust is built into the fabric of every transaction. This is the promise of blockchain, a revolutionary technology poised to reshape our digital landscape.
Toptal Tech is at the forefront of this innovation, connecting you with the brightest minds in blockchain development. Together, we can unlock the potential of this transformative technology, building a future of transparency, security, and endless possibilities.
8. Server
Host OS
Hypervisor
Server
Host OS
Docker Engine
Guest
OS
Guest
OS
Guest
OS
Bins/Libs Bins/Libs Bins/Libs
Bins/Libs Bins/Libs
AppA
AppA’
AppB
AppB’
AppB
AppB’
AppB
AppB’
Containers are isolated,
but share OS and, where
appropriate,
bins/libraries
Virtual Machine Vs Container
App A App A’ App B
9. • Azure Marketplace
• Build your own Virtual Machine and install the bits
• Azure Command Line Interface
• Azure Resource Manager Quick Start Templates
• Azure Container Service
• From Cloud.Docker.Com
10.
11. Microsoft cloud
Azure On premises Service Provider
Container management
PowerShell Docker
Development
environments
Others…
Container technologies
OMS
15. apps in containers, using
development environment
i.e. Visual Studio
Containers pushed to
central repository
automates
deployment and
monitors deployed apps
from central repository
Physical/Virtual Servers
collaborates with
to provide app metrics and insights
update, iterate,
and deploy updated containers
17. History of microservices at Microsoft
• 2003: “Windows Fabric” microservices platform project started
• 2007: Azure SQL DB service project starts with Windows Fabric
• 2009- many Azure and Microsoft services use Windows Fabric
• 2014: Decision to make Windows Fabric a public platform –
renamed to Service Fabric
• April 2015: Developer preview released at //build
• November 2015: Public preview of Azure Service Fabric
18. Microservices
Azure
Windows
Server
Linux
Hosted Clouds
Windows
Server
Linux
Service Fabric
Azure Stack
Windows
Server
Linux
High Availability
Hyper-Scale
Hybrid Operations
High Density Rolling Upgrades
Stateful services
Low Latency
Fast startup &
shutdown
Container Orchestration
& lifecycle management
Replication &
Failover
Simple
programming
models
Load balancing
Self-healingData Partitioning
Automated Rollback
Health
Monitoring
Placement
Constraints
20. Virtual Machines
Microsoft cloud
Azure On premises Service Provider
Container technologies
Service fabricDevelopment frameworks and languages
.Net
PHP
C++
JavaRuby Win32
Go Perl
Python
JavaScript
Node