Integrating technology to your startup

Editor's Notes

• #3: First off: WHY PaaS? Because companies want to deliver value faster and easier. We’ve been helping customers across the board start to take advantage of PaaS services, and they are seeing higher productivity for their developer teams, and faster deployment times, by leveraging these PaaS services that allow them to use automated scaling and capacity on demand. Ultimately, developers can focus on their code and applications, and not the underlying infrastructure. Some customers have hesitated to make the shift from IaaS to PaaS, because they feel that IaaS platforms tend to offer more control over the execution environment. However, we’ve seen that customers who are remaining on IaaS are still using resources and overhead for patching, deploying and manual scaling. And this limits their ability to deliver value to the business.  
• #4: First is building/modernizing your applications on a PaaS platform. This is where you could use Containers. This provides you better efficiency way to innovate faster and deploy your products to market faster. 2) Supporting containers everywhere Azure Container Instances – allows you to quickly and easily run containers on Azure without managing servers Ex. Event-Driven, Batch processing Azure App Service – create and deploy web apps, mobile back ends, and RESTful APIs in containers or running on any operating system. With popular frameworks .NET, .NET Core, Node.js, Java, PHP, Ruby, or Python, Azure Kubernetes Service – fully-managed orchestrator that makes deploying, managing and scaling your containerize application easy. Azure Container Registry – store and manage images ---------------------------- Supporting all leading open source container orchestrators One open-source orchestration software we offer is Kubernetes. It helps deploy, manage, and scale containers. It is highly portable, extensible and can self-heal. The fully managed Azure Kubernetes Service (AKS) makes deploying and managing containerized applications easy. It offers serverless Kubernetes, an integrated continuous integration and continuous delivery (CI/CD) experience, and enterprise-grade security and governance. Combined with DevOps practices, AKS helps unite your development and operations teams on a single platform to rapidly build, deliver, and scale applications with confidence. The inaugural Forrester New Wave for Public Cloud Enterprise Container Platforms credited Microsoft with “the strongest developer experience and global reach,” saying Microsoft is “the best fit for companies seeking a trusted partner to manage containers at scale.” The report positively positioned our approach to container operations, noting, “Customers say that easy cluster setup, integration with database and other Azure services, the best developer experience, and rock-solid support keep them highly satisfied with Azure containers.”
• #5: App Service is a managed PaaS service that lets developers focus on the unique aspects of their app, instead of spending cycles on patching and boilerplate functionality. Rapidly create and deploy web, mobile and API apps that scale with your business, on any platform Free your developers from management of infrastructure Automate and simplify your Azure deployments via integrated CI/CD capabilities with GitHub, VSTS and more Multiple deployment slots for easy blue-green testing, A/B testing and simple rollbacks. Ultimately, you have much more control over how you do your staging. Scale vertically and horizontally without downtime with integrated load balancer and in-memory caching – these things are baked into the platform Meet rigorous performance, scalability, security, and compliance requirements using a single back end There are lots of advantages here – which of these is most helpful to your business?
• #6: Next, let’s look at building serverless application. Serverless apps are application that run in the cloud and you don’t have to worry about spinning up any server to run the application. They are triggered by events. Logic App: Integration w/ Twitter, Twillio, Dynamics 365, Saleforce etc FUNCTIONS Execute your code based on events you specify LOGIC APPS Design workflows and orchestrate processes EVENT GRID Manage all events that can trigger code or logic DEVELOPMENT INTEGRATION IDE support, Integrated DevOps, Local development, Monitoring, Visual Debug history Full abstraction of your server Developers can just focus on their code—there are no distractions around server management, capacity planning, or availability. Focus Solve business problems—not technology problems related to undifferentiated heavy lifting Instant, event-driven scalability Application components react to events and triggers in near real-time with virtually unlimited scalability; compute resources are used as needed. Flexibility Simplified starting experience Easier pivoting means more flexibility Easier experimentation Scale at your pace—don’t bet the farm on Day 1 Natural fit for microservices Pay-Per-use Only pay for what you use: billing is typically calculated on the number of function calls, code execution time, and memory used.* Efficiency Shorter time to market Fixed costs converted to variable costs Better service stability Better development and testing management Less waste
• #7: Next.... Let’s talk about event-driven processes. And what services Azure has for responding to events. Real-time stream processing For example, Internet of Things (IoT) devices send messages to Azure Stream Analytics, which then calls an Azure Function to transform the message. This function processes the data and creates a new record in an Azure SQL database. Timer-based processing Azure Functions supports an event based on a timer using Cron job syntax. For example, execute code that runs every 15 minutes and clean up a database table based on custom business logic. Serverless mobile back ends A mobile back end can be a set of HTTP APIs that are called from a mobile client using the WebHook URL. For example, a mobile application can capture an image, and then call an Azure Function to get an access token for uploading to blob storage. A second Azure Function is triggered by the blob upload and resizes the image to be mobile-friendly. Real-time bot messaging Use Azure Functions to customize the behavior of a bot using a WebHook. For example, create an Azure Function that processes a message using Cortana Analytics and call this function using Microsoft Bot Framework. 
• #10: Events: what happened Event Publishers: where it took place Topics: where publishers send events Event Subscriptions: how you receive events Event Handlers: the app or service reacting to the event Provide event-based reactive programming for Azure Cloud. Currently in cloud or a lot of programming you have to do a lot of polling. “Is it done, …Is it done?” What we’re doing is tapping you on the should and saying….”Hey…it’s done” Ex. You provision your db and you have to make sure the configurations on the deploy are proper Ex. You have your own have a new Employee onboarding, Customers, Social media Ex. You provision a cluster of VMs and there server extensions configurations you have to make your they are compliant or you want to go tag them 1 million operations = $.60 delivery at massive scale. Eliminate polling MULTI-Handlers We fan out. We can seed event to multiple event handlers. RELIABLE DELIVERY - If an endpoint is down, we’ll retry for up to 24hrs using exponentially backoff.
• #11: Having continuous integration and continuous delivery is key to build apps faster.
• #12: Formerly know as TFS
• #13: Blob  Great for storing/streaming large files/unstructured data, and backup/restore.  Can store up to 8 TB of data  Talk about hot/cold/archive storage tiers Files  File share (SMB and REST) in the cloud - windows, mac, linux support Talk about Azure File Sync Queue  Used for storing large numbers of messages that can be accessed anywhere in the world. Each message is up to 64 KB in size.  Great for async task that needs to be processed One or more senders and one or more receivers.  Tables  Optimized for key based lookups Store 100s of TBs in a single table (shard for PBs) Strongly consistent Dynamic load balancing Very high transaction rates Cost efficient Disks Standard hard drives available, SSD is available for high-speed at an extra cost Blue Box: The main point is that there is a standard approach to encryption, replication, fault tolerance, load-balancing, etc – no need to learn different systems for each type
• #14: With Azure data services, we provide you flexibility in terms of the database (open source or not) as well as relational or non relational databases. <Detailed descriptions of each database service for reference> Azure SQL Database Azure SQL Database is a relational database as a service (DaaS) based on the latest stable version of the Microsoft SQL Server database engine. SQL Database is a high-performance, reliable, fully managed and secure database. You can use it to build data-driven applications and websites in the programming language of your choice without needing to manage infrastructure. You can migrate your existing SQL Server databases with minimal downtime using the Azure Database Migration Service. Azure Cosmos DB Azure Cosmos DB is a globally distributed database service. It supports schema-less data that lets you build highly responsive and Always On applications to support constantly changing data. You can use this feature to store data that is updated and maintained by users around the world. The following illustration shows a sample Azure Cosmos DB database that's used to store data that's accessed by people located across the globe. Azure Database for PostgreSQL is a relational database service based on the open-source Postgres database engine. It's a fully managed database as a service offering that can handle mission-critical workloads with predictable performance, security, high availability, and dynamic scalability Azure Database for MySQL is a relational database service based on the open-source MySQL Server engine. It's a fully managed database as a service offering that can handle mission-critical workloads with predictable performance and dynamic scalability. Azure Database for MariaDB is a relational database service in the Microsoft cloud. Azure Database for MariaDB is based on the MariaDB community edition (available under the GPLv2 license) database engine, version 10.2 and 10.3. Azure Database for MariaDB delivers: Built-in high availability with no additional cost. Predictable performance, using inclusive pay-as-you-go pricing. Scaling as needed within seconds. Secured protection of. sensitive data at rest and in motion. Automatic backups and point-in-time-restore for up to 35 days. Enterprise-grade security and compliance
• #15: 1) Cosmo DB is a new database that we have on Azure 2) It is a Global distributed multi-model database... 3) Now what does that mean? It means you have multiple way to access your data. 4) You have the ability to choose a Key/value approach, you can have column-family approach, document approach like MongoDB or Graph using Gremlin 5) The good this is, we support of those APIs 6) So, if you already have existing application using one of Table, SQL, Cassandra, MongoDB, or Gremlin, you can easily migrate your data to CosmoDB. The API will not need to change you just need to change the connection string credentials SQL API Azure Cosmos DB has native support for SQL and JavaScript APIs. MongoDB API Use Azure Cosmos DB as a fully managed database service for your MongoDB app, without any code changes, with native API support for MongoDB. Table API Use Azure Cosmos DB as a globally distributed database for your Azure Table storage-based application, without any code changes, using the Table API. You get secondary indexes, global distribution, policy-based failover capabilities, and much more. Cassandra API Deliver Cassandra as-a-service over the power of Azure Cosmos DB. Use Cassandra SDKs and tools to build applications at near-infinite global scale with SLA-backed capabilities of the Azure Cosmos DB platform. Spark For real-time machine learning over globally distributed datasets managed by Azure Cosmos DB, use the Spark connector to issue Apache Spark queries. The Spark connector takes advantage of native indexes managed by Azure Cosmos DB, resulting in significant performance gains. Gremlin API Take advantage of native Graph APIs on Azure Cosmos DB without any code changes, and issue globally distributed graph queries using Gremlin with Graph API.
• #16: For example we have Cognitive Services. VISION => Face, Emotions, or objects/thing in an image or video SPEECH => speech to text, text to speech, Speech Recognition => great for chat bot LANGUAGE = TEXT ANALYTICS (extract key words/intent), LUIS, language translator BING => Web pages, images, video, news DECISION = analyze time series data in real-time to detect anomalies ---------------------------------------- Cognitive Service is ready for use now. Don’t build your own. Next you can take AI model that is already built and you can customize to it better. You customize for Vision, Speech, Language (linguistics) or Bing
• #17: Microsoft Build 2016
• #18: Personalizer has been in development at Microsoft for many years. It's used on Xbox devices, to determine what activities are featured on the home page, like playing an installed game, or purchasing a new game from the store, or watching others play on Mixer. Since the introduction of Personalizer, the Xbox team has seen a significant lift in key engagement metrics. Personalizer is also used to optimize the placement of ads in Bing search, and the articles featured in MSN News, again with great results in improving engagement from users. Now you can use Personalizer in your own apps, as well.
• #19: Bot Framework provides everything you need to build and connect intelligent bots that interact naturally wherever your users are talking, from text/sms to Skype, Slack, Office 365 mail and other popular services. Bot Framework consists of three main components: Bot Connector, Bot Builder, and Bot Directory
• #20: Macy’s https://www.youtube.com/watch?v=MQaUH3OpUBs&list=PLd4igxy7EE6B-8dtbqX3uu3aved6IPRdK
• #21: Machine Learning Services
• #22: Our approach to ML frameworks is simple. We give customers the flexibility to choose their deep learning framework, without getting locked one framework. To help with this we’ve created a community project in partnership with Facebook that allows customers to train in one framework and use another one for inference   Now, let me move to the ML services on Azure
• #23: Our approach to ML frameworks is simple. We give customers the flexibility to choose their deep learning framework, without getting locked one framework. To help with this we’ve created a community project in partnership with Facebook that allows customers to train in one framework and use another one for inference   Now, let me move to the ML services on Azure
• #24: Our approach to ML frameworks is simple. We give customers the flexibility to choose their deep learning framework, without getting locked one framework. To help with this we’ve created a community project in partnership with Facebook that allows customers to train in one framework and use another one for inference   Now, let me move to the ML services on Azure
• #25: Our approach to ML frameworks is simple. We give customers the flexibility to choose their deep learning framework, without getting locked one framework. To help with this we’ve created a community project in partnership with Facebook that allows customers to train in one framework and use another one for inference   Now, let me move to the ML services on Azure
• #29: Added cow icon
• #31: Stories in context of three scenarios - engage and connect with citizens, modernize the government workplace and, enhance government services. 1. City of Musson – Opinum – Engage and connect with Citizens scenario (https://customers.microsoft.com/en-us/story/726915-city-of-musson-gov-azure-cloud-powerbi-Belgium) The Belgian city of Musson was struggling to optimize the inefficient process of water meter data collection and customer invoicing After implementing Opinum’s Azure-based data management toolbox, Opisense, which enables integration with smart water meters and the city’s invoicing system with an open data communication protocol, including an open API. Information is collected from smart water meters, stored and processed on Azure, and then sent to the city’s invoicing system. To offer a complete solution, Opinum partnered with MeterBuy for delivery and installation of smart meters, and Civadis for configuration with the invoicing system. The first step was to install smart water meters, around 2,000 in total, which took about four months. To do the reading, city employees take a tablet and drive by households in the course of doing their daily tasks. The tablet is equipped with a USB key containing software able to receive wireless information coming from digital meters. This information is sent automatically to the invoicing system. 2. Microsoft Seeing AI - https://www.microsoft.com/en-us/ai/seeing-ai Seeing AI is a Microsoft research project that brings together the power of the cloud and AI to deliver an intelligent app, designed to help you navigate your day. 3. BeMobile - City of Antwerp – Enhance Government services scenario The City of Antwerp implemented a real-time traffic management platform. The solution guides traffic to off-street parking, provides mobility insights, suggests alternative transport modes, and implements an intermodal routing platform in Microsoft Azure. The results include a decrease in the number of cars entering the city center, improved mobility flows, and an increase in the use of active transport modes The MobiGo services mix works based on real-time and historical floating car data, traffic data, sensors, on- and off-street parking data, shared bicycle infrastructure, public transport information and specific instructions and data provided by local governments
• #32: Finally, Azure is designed with an aggressive compliance strategy that helps customers address business objectives and industry standards & regulations. Our security compliance framework includes test and audit phases, security analytics, risk management best practices, and security benchmark analysis to achieve certificates and attestations.
• #34: Key message: MS Learn is Microsoft’s technical learning platform to assist and support customers through successful cloud adoption. Microsoft Learn provides a free interactiv way of learning by combining short step-by-step tutorials, browser-based interactive coding/scripting environments, and task-based achievements to help you develop technical skills while earning achievements and/or preparing for Microsoft role-based certifications. Whether you’re a beginner or an advanced learner, Microsoft Learn will help you to understand what the technology does and help prepare you for certifications. Microsoft Learn is your starting point to learn Microsoft technologies, and from there, you can complement with additional learning opportunities such as instructor-led training or training events.