Kategorie: Microsoft Azure

Modernize alerting using Azure Resource Manager storage accounts

Classic alerts in Azure Monitor will reach retirement this coming June. We recommend that you migrate your classic alert rules defined on your storage accounts, especially if you want to retain alerting functionality with the new alerting platform. If you have classic alert rules configured on classic storage accounts, you will need to upgrade your accounts to Azure Resource Manager (ARM) storage accounts before you migrate alert rules.

For more information on the new Azure Monitor service and classic alert retirement read the article, “Classic alerts in Azure Monitor to retire in June 2019.”

Identify classic alert rules

You should first find all classic alert rules before you migrate. The following screenshot shows how you can identify classic alert rules in the Azure portal. Please note, you can filter by subscription so you can find all classic alert rules without checking on each resource separately.

Migrate classic storage accounts to ARM

New alerts do not support classic storage accounts, only ARM storage accounts. If you configured classic alert rules on a classic storage account you will need to migrate to an ARM storage account.

You can use "Migrate to ARM" to migrate using the storage menu on your classic storage account. The screenshot below shows an example of this. For more information on how to perform account migration see our documentation, “Platform-supported migration of laaS resources from classic to Azure Resource Manager.”

Re-create alert rules in new alerting platform

After you have migrated the storage account to ARM, you then need to re-create your alert rules. The new alerting platform supports alerting on ARM storage accounts using new storage metrics. You can read more about new storage metric definitions in our documentation, “Azure Storage metrics in Azure Monitor.” In the storage blade, the menu is named "Alert" for the new alerting platform.

Before you re-create alert rules as a new alert for your storage accounts, you may want to understand the difference between classic metrics and new metrics and how they are mapped. You can find detailed mapping in our documentation, “Azure Storage metrics migration.”

The following screenshot shows how to create an alert based on “UsedCapacity.”

Some metrics include dimension, which allows you to see and use different dimension value types. For example, the transactions metric has a dimension named “ResponseType” and the values represent different type of errors and success. You can create an alert to monitor transactions on a particular error such as “ServerBusyError” or “ClientOtherError” with “ResponseType”.

The following screenshot shows how to create an alert based on Transactions with “ClientOtherError.”

In the list of dimension values, you won't see all supported values by default. You will only see values that have been triggered by actual requests. If you want to monitor conditions that have not happened, you can add a custom dimension value during alert creation. For example, when you have not had anonymous requests to your storage account yet, you can still setup alerts in advance to monitor such activity from upcoming requests.

The following screenshot shows how to add a custom dimension value to monitor upcoming anonymous transactions.

We recommend creating the new alert rules first, verify they work as intended, then remove the classic alerts.

Azure Monitor is a unified monitoring service that includes alerting and other monitor capabilities. You can read more in the “Azure Monitor documentation.”
Quelle: Azure

Live stream analysis using Video Indexer

Video Indexer is an Azure service designed to extract deep insights from video and audio files offline. This is to analyze a given media file already created in advance. However, for some use cases it's important to get the media insights from a live feed as quick as possible to unlock operational and other use cases pressed in time. For example, such rich metadata on a live stream could be used by content producers to automate TV production, like our example of EndemolShine Group, by journalists of a newsroom to search into live feeds, to build notification services based on content and more.

To that end, I joined forces with Victor Pikula a Cloud Solution Architect at Microsoft, in order to architect and build a solution that allows customers to use Video Indexer in near real-time resolutions on live feeds. The delay in indexing can be as low as four minutes using this solution, depending on the chunks of data being indexed, the input resolution, the type of content and the compute powered used for this process.

Figure 1 – Sample player displaying the Video Indexer metadata on the live stream

The stream analysis solution at hand, uses Azure Functions and two Logic Apps to process a live program from a live channel in Azure Media Services with Video Indexer and displays the result with Azure Media Player showing the near real-time resulted stream.

In high level, it is comprised of two main steps. The first step runs every 60 seconds, and takes a sub-clip of the last 60 seconds played, creates an asset from it and indexes it via Video Indexer. Then the second step is called once indexing is complete. The insights captured are processed, sent to Azure Cosmos DB, and the sub-clip indexed is deleted.

The sample player plays the live stream and gets the insights from Azure Cosmos DB, using a dedicated Azure Function. It displays the metadata and thumbnails in sync with the live video.

Figure 2 – The two logic apps processing the live stream every minute in the cloud.

Near real-time indexing for video production

At the EBU Production Technology Seminar in Geneva last month, an end-to-end solution was demonstrated by Microsoft. Several live feeds were ingested to Azure using Dejero technology or the webRTC protocol, and sent to Make.TV Live Video Cloud to switch inputs. The selected input was sent as a transcoded stream to Azure Media Services for multi bitrate transcoding and OTT delivery in low latency mode.  The same stream was also processed in near real time with Video Indexer.

Figure 3 – Example of live stream processing in Azure

Next steps

The full code and a step-by-step guide to deploy the results can be found in this GitHub project for Live media analytics with Video Indexer. Need near real-time analytics for your content? Now you have a ready-made solution for that, go ahead and give it a try!

Have questions or feedback? We would love to hear from you! Visit our UserVoice to help us prioritize features, or email VISupport@Microsoft.com with any questions.
Quelle: Azure

Use GraphQL with Hasura and Azure Database for PostgreSQL

Azure Database for PostgreSQL provides a fully managed, enterprise-ready community PostgreSQL database as a service. The PostgreSQL community edition helps you easily migrate existing apps to the cloud or develop cloud-native applications, using languages and frameworks of your choice. The service offers industry leading innovations such as built-in high availability, backed with 99.99 percent SLA, without the need to set up replicas and enabling customers to save over two times the cost. The capability also allows customers to scale compute up or down in seconds, helping you easily adjust to changes in workload demands.

Additionally, built-in intelligent features such as Query Performance Insight and performance recommendations help customers further lower their total cost of ownership (TCO) by providing customized recommendations and insights to optimize the performance of their Postgres databases. These benefits coupled with unparalleled security and compliance, Microsoft Azure’s industry leading global reach, and Azure IP Advantage, empower customers to focus on their business and applications rather than the database.

As part of the broader Postgres community, our aim is to contribute to and partner with others in the community to bring new features to Azure Database for PostgreSQL users. You can now take advantage of the Hasura GraphQL Engine, a lightweight, high performance open-source product that can instantly provide a real time GraphQL API on a Postgres database. This post provides an overview of how to use GraphQL with Azure Database for PostgreSQL.

What is GraphQL?

GraphQL is a query language for APIs and a server-side runtime for executing database queries. The GraphQL spec is centered around a typed schema that is available to users of the API, which are mostly front-end developers, to make any CRUD queries on the exposed fields. It’s agnostic to the underlying database or source of data. One of GraphQL’s main benefits is that clients can specify exactly what they need from the server and receive that data in a predictable way. GraphQL provides a solution to common hurdles faced when using REST APIs, and it is currently being adopted widely to speed up product development cycles.

Hasura GraphQL Engine

The Hasura GraphQL Engine is a lightweight, high performance open-source product that gives you a real time GraphQL API on a Postgres database instantly. The engine comes with an admin UI to help you explore your GraphQL APIs and manage your database schema and data.

Hasura’s GraphQL Engine also allows you to write custom resolvers with schema-stitching and to integrate serverless functions or microservice APIs that get triggered on database events. With Hasura’s GraphQL, you can easily build 3factor apps. Learn more by reading about Hasura.

Using GraphQL with Azure Database for PostgreSQL

Please note, If you already have a database running on Azure and want to use GraphQL on that database, go directly to the "Working with GraphQL with an existing Azure Database for PostgreSQL" section below.

With the Hasura’s GraphQL one-click deploy, you can now get a real time GraphQL API on Azure with Azure Database for PostgreSQL server in under five minutes!

Get started by selecting Deploy to Azure below, which will open the Azure portal in preparation for using GraphQL with Azure Database for PostgreSQL. If you are prompted to log in to the Azure portal, enter your credentials to continue.

This deployment uses Azure Container Instances for deploying Hasura’s GraphQL and Azure Database for PostgreSQL for provisioning a managed Postgres instance.

Working with GraphQL with an existing Azure Database for PostgreSQL

If you already have a PostgreSQL database on Azure, you can connect Hasura’s GraphSQL to that database and have GraphQL APIs without affecting any other part of your application.

Get started by selecting the Deploy to Azure graphic below, which will open the Azure portal in preparation for working with GraphQL and an existing Azure Database for PostgreSQL database. If you are prompted to log in to the Azure portal, enter your credentials to continue.

This deployment uses Azure Container Instances for deploying Hasura and connects to an existing Azure Database for PostgreSQL instance.

What else can you do with Hasura’s GraphQL engine?

Explore the ready to use real-time API

Types and/or operators such as SQL for sorting, filtering, pagination, and aggregations are supported out-of-the-box. Read more about Hasura’s powerful syntax for queries and mutations.

Hasura also has built-in live-queries called subscriptions in GraphQL, for getting real-time updates to results of a query. No need to write any code for handling websocket connections!

Add authorization

Hasura’s granular, role-based permissions system lets you configure columns and row level access control rules for data that integrates with any third party. You can also integrate with your own custom authentication services using a JWT or webhook. You can learn more about adding authorization by visiting Hasura’s documentation, “Authentication / Access control.”

Add custom business logic

GraphQL Engine can be used as a gateway for custom business logic like with Remote GraphQL schemas. You can write your own GraphQL servers in your favorite language and expose them at a single endpoint. Hasura will take care of the schema stitching.

Trigger Azure Functions on database events

Hasura can trigger serverless Azure Functions or webhooks on database events like insert, update, or delete. They can be used to execute asynchronous business logic such as sending a “welcome email” to newly registered users. Read more about triggering serverless Azure Functions and webhooks on the Hasura website, or visit Hasura’s documentation, “Event triggers.”

Next steps

Get started and create your PostgreSQL servers today! Learn more about Azure Database for PostgreSQL in the overview documentation, “What is Azure Database for PostgreSQL.”

Please continue to provide UserVoice feedback on the features and functionality that you want to see next. If you need any help or have questions please check out the, “Azure Database for PostgreSQL documentation.”

For support and feedback related to Hasura, please use Discord. You can also follow Hasura’s product updates at @HasuraHQ.

Acknowledgements

Special thanks to the Hasura team for their contributions to this posting.
Quelle: Azure

Update to Azure DevOps Projects support for Azure Kubernetes Service

Kubernetes is going from strength to strength as adoption across the industry continues to grow. But there are still plenty of customers coming to container orchestration for the first time while also building up their familiarity with Docker and containers in general. We see the need to help teams go from a container image, or just a git repo, and help get them to an app running in Kubernetes in as few steps as possible. It’s also important that we do this in a way that will allow them to customize afterward and build on their knowledge as they go.

At Microsoft, we are trying to make it easy for our customers to adopt Kubernetes by offering two solutions.

First is Azure Kubernetes Service (AKS), a fully managed Kubernetes container orchestration service. AKS simplifies the deployment and operations of Kubernetes and enables you to dynamically scale your application infrastructure with confidence and agility.

The other is Azure DevOps Projects, a simplified experience which helps you launch an app on an Azure Service of your choice in a few quick steps. For example, in just a matter of minutes, it can help you provision AKS, Azure Container Registry, and start building and deploying a container app to AKS by using Azure Pipelines. Creating a DevOps Projects provisions Azure resources and comes with a git code repository, Application Insights integration, and a continuous delivery pipeline setup to deploy to Azure. The DevOps Projects dashboard lets you monitor code commits, builds, and deployments from a single view in the Azure portal.

Key benefits of Azure DevOps Projects are:

Get up and running with a new app and a CI/CD pipeline in just a few minutes
Support for a wide range of popular frameworks such as .NET, Java, PHP, Node.js, and Python
Start fresh or bring your own application from GitHub
Built-in Application Insights and Azure Monitor for containers integration for instant analytics and actionable insights
Cloud-powered CI/CD using Azure DevOps

Several customers are using Azure DevOps Projects to deploy their apps to AKS, but a clear piece of feedback we received from early adopters was to add support for reusing an existing Azure Kubernetes Service (AKS) cluster in Azure DevOps Projects rather than have to create a new one each time.

Today we are happy to share that now you can use Azure DevOps Projects to deploy multiple apps to a single AKS cluster. This feature is generally available in the Azure portal. To get started create an Azure DevOps Projects now. For more information, please read our Azure DevOps Projects documentation.

Quelle: Azure

Class schedules on Azure Lab Services

Classroom labs in Azure Lab Services make it easy to set up labs by handling the creation and management of virtual machines and enabling the infrastructure to scale. Through our continuous enhancements to Azure Lab Services, we are proud share that the latest deployment now includes added support for class schedules.

Schedules management is one of the key features requested by our customers. This feature helps teachers easily create, edit, and delete schedules for their classes. A teacher can set up a recurring or a one-time schedule and provide a start, end date, and time for the class in the time zone of choice. Schedules can be viewed and managed through a simple, easy to use calendar view.

Students virtual machines are turned on and ready to use when a class schedule starts and will be turned off at the end of the schedule. This feature helps limit the usage of virtual machines to class times only, thereby helping IT admins and teachers manage costs efficiently.

Schedule hours are not counted against quota allotted to a student. Quota is the time limit outside of schedule hours when a student can use the virtual machine.

With schedules, we are also introducing no quota hours. When no quota hours are set for a lab, students can only use their virtual machines during scheduled hours or if the teacher turns on virtual machines for the students to use.

Students will be able to clearly see when a lab schedule session is in progress on their virtual machines view.

You can learn more about how to use schedules in our documentation, “Create and manage schedules for classroom labs in Azure Lab Services.” Please give this feature a try and provide feedback at Azure Lab Services UserVoice forum. If you have a questions, please post it on Stack Overflow.
Quelle: Azure

Azure.Source – Volume 70

Now in preview

Anomaly detection using built-in machine learning models in Azure Stream Analytics

Many customers use Azure Stream Analytics to continuously monitor massive amounts of fast-moving streams of data to detect issues that do not conform to expected patterns and prevent catastrophic losses. This in essence is anomaly detection. Built-in machine learning models for anomaly detection in Azure Stream Analytics significantly reduces the complexity and costs associated with building and training machine learning models. This feature is now available for public preview worldwide. See how to use simple SQL language to author and deploy powerful analytics processing logic that can scale-up and scale-out to deliver insights with millisecond latencies.

Anomaly detection using machine learning in Azure Stream Analytics

Update 19.02 for Azure Sphere public preview now available

Device builders can now bring the security of Azure Sphere to products even faster than ever before. The Azure Sphere 19.02 release is now available in preview and focuses on broader enablement of device capabilities, reducing time to market with new reference solutions, and continuing to prioritize features based on feedback from organizations building with Azure Sphere. To build applications that leverage this new functionality, you will need to ensure that you have installed the latest Azure Sphere SDK Preview for Visual Studio. All Wi-Fi connected devices will automatically receive an updated Azure Sphere OS.

Also in preview

Azure Sphere 19.02 Release
Public preview: Power BI Embedded support for application authentication with service principal
Public preview: Azure Service Bus for Node.js
SQL Database as a source of reference data input for Stream Analytics

Now generally available

Actuating mobility in the enterprise with new Azure Maps services and SDKs

The mobility space is at the forefront of the most complex challenges faced by cities and urban areas today. Azure Maps has introduced new SDKs and cloud-based services to equip Azure customers with the tools necessary to make smarter, faster, more informed decisions and to enable enterprises, partners, and cities to build the solutions that help visualize, analyze, and optimize mobility challenges all while getting the benefits of a rich set of maps and mapping services with the fastest map data refresh rate available.

Also generally available

General availability: Azure Kubernetes Service in Australia Southeast

News and updates

Get started quickly using templates in Azure Data Factory

Cloud data integration helps organizations integrate data of various forms and unify complex processes in a hybrid data environment. A number of times different organizations have similar data integration needs and require repeat business processes. Templates in Azure Data Factory help you get started quickly with building data factory pipelines and improve your productivity along with reducing development time for repeat processes. The templates are available in a Template gallery that contains use-case based templates, data movement templates, SSIS templates or transformation templates that you can use to get hands-on with building your data factory pipelines.

Quickly build data integration pipelines using templates in Azure Data Factory

Azure IoT Hub Java SDK officially supports Android Things platform

Connectivity is often the first challenge in the Internet of Things (IoT) world. That’s why we released Azure IoT SDKs to enable building IoT applications that interact with IoT Hub and the IoT Hub Device Provisioning Service. These SDKs cover most popular languages in IoT development including C, .NET, Java, Python, and Node.js, as well as popular platforms like Windows, Linux, OSX, and MBED all with support for iOS and Android for enabling mobile IoT scenarios. We are happy to share that the Azure IoT Hub Java SDK now officially supports the Android Things platform so developers can leverage the operating system on the device side, while using Azure IoT Hub as the central message hub that scales to millions of simultaneously connected devices.

Azure IoT Edge runtime available for Ubuntu virtual machines

Azure IoT Edge is a fully managed service allowing you to deploy Azure and third-party services to run directly on IoT devices, whether they are cloud-connected or offline, and offers functionality ranging from connectivity to analytics to storage all while allowing you to deploy modules entirely from the Azure portal without writing any code. Azure IoT Edge deployments are built to scale so that you can deploy globally to any number of devices or to simulate the workload with virtual devices. Now generally available, open-source Azure IoT Edge runtime preinstalled on Ubuntu virtual machines.

Azure IoT Edge VM on Azure Marketplace

Monitor at scale in Azure Monitor with multi-resource metric alerts

Customers rely on Azure to run large scale applications and services critical to their business. To run services at scale, you need to setup alerts to proactively detect, notify, and remediate issues before it affects your customers We’ve just released multi-resource support for metric alerts in Azure Monitor to help you set up critical alerts at scale. Learn about metric alerts in Azure Monitor that work on a host of multi-dimensional platforms and custom metrics; and can notify you when the metric breaches a defined threshold. *This functionality is currently only supported for virtual machines with support for other resource types coming soon.

How Azure Security Center helps you protect your environment from new vulnerabilities

Recently the disclosure of a vulnerability (CVE-2019-5736) was announced in the open-source software (OSS) container runtime, runC allowing an attacker to gain root-level code execution on a host. Azure Security Center can help you detect vulnerable resources in your environment within Microsoft Azure, on-premises, or other clouds. See how Azure Security Center can help you detect that an exploitation has occurred and to alert you.

Announcing launch of Azure Pipelines app for Slack

Use the Azure Pipelines app for Slack to easily monitor the events for your pipelines. Set up and manage subscriptions for completed builds, releases, pending approvals (and more) then get notifications for these events in your Slack channels.

The February release of Azure Data Studio is now available

Azure Data Studio is a new cross-platform desktop environment for data professionals using the family of on-premises and cloud data platforms on Windows, MacOS, and Linux. The February release of Azure Data Studio (formerly known as SQL Operations Studio) is now in general availability. New features include: A new Admin Pack for SQL Server, Added Profiler filtering, Added Save as XML, Added Data-Tier Application Wizard improvements, Updates to the SQL Server 2019 Preview extension, Results streaming turned on by default, and important bug fixes.

Additional news and updates

Azure API Management update February 14
CVE-2019-5736 and runC vulnerability in AKS
CVE-2019-5736 fix for Azure IoT Edge
Azure Automation supports the Azure PowerShell Az module
New language functions in Stream Analytics
Feature update: Serial console for Azure Virtual Machines
Azure DevOps Roadmap update for 2019 Q1

Technical content

Controlling costs in Azure Data Explorer using down-sampling and aggregation

Azure Data Explorer (ADX) is an outstanding service for continuous ingestion and storage of high velocity telemetry data from cloud services and IoT devices. In this helpful post, we see how ADX users can take advantage of stored functions, the Microsoft Flow Azure Kusto connector, and how to create and update tables with filtered, down-sampled, and aggregated data for controlling storage costs.

Azure Stack IaaS – part one

Azure Stack at its core is an Infrastructure-as-a-Service (IaaS) platform and has created a lot of excitement around new hybrid application patterns, consistent Azure APIs to simplify DevOps practices and processes, the extensive Azure ecosystem available through the Marketplace, and the option to run Azure PaaS Services locally, such as App Services and IoT Hub. Underlying all of these are some exciting IaaS capabilities that this new Azure Stack IaaS blog series outlines.

Benefits of using Azure API Management with microservices

The IT industry is experiencing a shift from monolithic applications to microservices-based architectures. The benefits of this new approach include independent development and the freedom to choose technology, independent deployment and release cycle, individual microservices that can scale independently, and reducing the overall cost while increasing reliability. Azure API Management is now available in a new pricing tier with billing per execution especially suited for microservice-based architectures and event-driven systems. Explore how to design a simplified online store system, why and how to manage public facing APIs in microservice-based architectures, and how to get started with Azure API Management and microservices.

Maximize throughput with repartitioning in Azure Stream Analytics

Customers love Azure Stream Analytics for its ease of analyzing streams of data in movement, with the ability to set up a running pipeline within five minutes. Optimizing throughput has always been a challenge when trying to achieve high performance in a scenario that can't be fully parallelized. You can now use a new extension of Azure Stream Analytics SQL to specify the number of partitions of a stream when reshuffling the data. This new capability unlocks performance and aids in maximizing throughput in such scenarios. The new extension of Azure Stream Analytics SQL includes a keyword INTO that allows you to specify the number of partitions for a stream when performing reshuffling using a PARTITION BY statement. This new keyword, and the functionality it provides, is a key feature to achieve high performance throughput for the above scenarios, as well as to better control the data streams after a shuffle

Moving your Azure Virtual Machines has never been easier!

Because of geographical proximity, a merger or acquisition, data sovereignty, or SLA requirements, we are often approached by customers who want to change the region in which their Azure virtual machine is currently deployed to another target region. To meet this need, Azure is continuously expanding; adding new Azure regions, and introducing new capabilities. Walk through the steps you need to move your virtual machine as is (or to increase availability), across regions.

Protect Azure Virtual Machines using storage spaces direct with Azure Site Recovery

We all need to protect our business-critical applications. Storage spaces direct (S2D) lets you host a guest cluster on Microsoft Azure which is especially useful in scenarios where virtual machines (VMs) are hosting those critical applications like SQL, Scale out file server, or SAP ASCS. Learn how the Azure Site Recovery support of storage spaces direct allows you to take your higher availability application and make it more resilient by providing a protection against region level failure. Disaster recovery between Azure regions is available in all Azure regions where ASR is available.  This feature is only available for Azure Virtual Machines’ disaster recovery.

Under the hood: Performance, scale, security for cloud analytics with ADLS Gen2

Since we announced the general availability of Azure Data Lake Storage (ADLS) Gen2, Azure has become the only cloud storage service that is purpose-built for big data analytics and is designed to integrate with a broad range of analytics frameworks enabling a true enterprise data lake, maximize performance via true filesystem semantics, scales to meet the needs of the most demanding analytics workloads, is priced at cloud object storage rates, and is flexible to support a broad range of workloads so that you are not required to create silos for your data. Take a closer look at the technical foundation of ADLS that will power the end-to-end analytics scenarios our customers demand.

Build a Node.js App with the npm Module for Azure Cosmos DB

Ever wondered what it's like to try the JavaScript SDK to manage Azure Cosmos DB SQL API data? Follow along with John Papa as he walks viewers through the Microsoft quickstart guide, and you'll be able to use the SDK in under six minutes!

Keep Calm, and Keep Coding with Cosmos and Node.js

John Papa digs into the Azure Cosmos DB SDK for Node.js to discover how good it feels when an SDK is fast to install, fast to learn, and fast to execute.

Real Talk JavaScript podcast – Episode 17: Azure Functions & Serverless with Jeff Hollan

Jeff Hollan, Senior Program Manager for Microsoft Azure Functions, joins John to talk about serverless and talks about his serverless doorbell project.

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5 Azure Offerings I ❤️For Xamarin Development

It’s no secret that Matt is both an Azure and Xamarin fan. In this post, he rounds up five Azure offerings that are great for Xamarin development—Azure AD (B2C), Azure Key Vault, Azure Functions, Azure Custom Vision API, and Azure App Center—all of which can be accessed with a free Azure account!

Docker from the beginning

In this first part, Chris looks at the basics of containers and gives some hands-on advice and sample code to get the reader started. Future parts will explain the story of Docker including a look at Kubernetes and our own AKS service. And in part two, Chris looks at the Docker Volumes and how they can make for a great Developer Experience. Future parts will explain the story of Docker including a look at Kubernetes and our own AKS service.

Migrating Azure Functions f1 (.NET) to v2 (.NET Core/Standard)

In this post, Jeremy shared the lessons he learned upgrading his serverless link shortener app to the new Azure Functions platform.

Prototyping your first cloud-connected IoT project using an MXChip board and Azure IoT hub

Learn how to quickly build a prototype IoT project using Azure IoT Hub. Jim's blog post gives full instructions on how to get started with the MXChip board using Visual Studio Code, what Azure IoT Hub is, how to send messages and how to use device twins powered by Azure Functions to sync data.

Kubernetes Basics

In this miniseries, Microsoft Distinguished Engineer and Kubernetes co-creator, Brendan Burns provides foundational knowledge to help you understand Kubernetes and how it works.

AZ 203 Developing Solutions for Microsoft Azure Study Guide

It's essential to be knowledgeable of how the cloud can bring the best value to the developer. App Dev Manager Isaac Levin shares some tips about how to best prepare for the Microsoft Certified Azure Developer Associate certification (AZ-203) exam.

Azure shows

Episode 266 – Azure Kubernetes Service | The Azure Podcast

The dynamic Sean McKenna, Lead PM for AKS, gives us all the details about the service and why and when you should use it for your cloud compute needs. Russell and Kendall get together with him @ Microsoft Ready for a great show.

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HashiCorp Vault on Azure | Azure Friday

Working with Microsoft, HashiCorp launched Vault with a number of features to make secret management easier to automate in Azure cloud. Yoko Hyakuna from HashiCorp joins Donovan Brown to show how Azure Key Vault can auto-unseal the HashiCorp Vault server, and then how HashiCorp Vault can dynamically generate Azure credentials for apps using its Azure secrets engine feature.

Using HashiCorp Vault with Azure Kubernetes Service (AKS) | Azure Friday

As the adoption of Kubernetes grows, secret management tools must integrate well with Kubernetes so that the sensitive data can be protected in the containerized world. On this episode, Yoko Hakuna demonstrates the HashiCorp Vault's Kubernetes auth method for identifying the validity of containers requesting access to the secrets.

Azure Instance Metadata Service updates for attested data | Azure Friday

Azure Instance Metadata Service is used to provide information about a running virtual machine that can be used to configure and manage the machine. With the latest updates, Azure Marketplace vendors can now validate that their image is running in Azure.

Ethereum Name Service | Block Talk

This session provides an overview of the Ethereum Name Service and the core features that are included.  We then show a demonstration of how this service can be useful when building decentralized applications.

Introducing Spatial operations for Azure Maps | Internet of Things Show

The ability to analyze data is a core facet of the Internet of Things. Azure Maps Spatial Operations will take location information and analyze it on the fly to help inform our customers of ongoing events happening in time and space. The Spatial Operations we are launching consist of Geofencing, Buffer, Closest Point, Great Circle Distance and Point in Polygon. We will demonstrate geofencing capabilities, how to associate fences with temporal constraints so that fences are evaluated only when relevant, and how to react to Geofence events with Event Grid. Finally, we will talk about how other spatial operations can support geofencing and other scenarios.

Building Applications from Scratch with Azure and Cognitive Services | On .NET

In this episode, Christos Matskas joins us to share the story of an interesting application he built using the Azure SDKs for .NET and Cognitive Services. We not only get an overview of creating custom vision models, but also a demo of the docker containers for cognitive services. Christos also shares how he was able to leverage .NET standard libraries to maximize code portability and re-use.

Open Source Security Best Practices for Developers, Contributors, and Maintainers | The Open Source Show

Armon Dadgar, HashiCorp CTO and co-founder, and Aaron Schlesinger talk about how and why HashiCorp Vault is a security and open source product: two things traditionally considered at odds. You'll learn how to avoid secret sprawl and protect your apps' data, ways for contributors and maintainers to enhance the security of any project, and why you should trust no one (including yourself).

Overview of Open Source DevOps in Azure Government | Azure Government

In this episode of the Azure Government video series, Steve Michelotti talks with Harshal Dharia, Cloud Solution Architect at Microsoft, about open source DevOps in Azure Government. Having a reliable and secure DevOps pipeline is one of the most important factors to a successful development project. However, different organizations and agencies often have different tools for DevOps. Harshal starts out by discussing various DevOps tools available, and specifically focuses this demo-heavy talk on open source DevOps tools in Azure Government. Harshal then shows how Terraform and Jenkins can be used in a robust CI/CD pipeline with other open source tools. For DevOps, your organization or agency can bring all your favorite open source tools and use them, but from within the highly scalable, reliable, and secure environment of Azure Government. If you’re into open source DevOps, this is the video for you!

How to create an Azure Functions project with Visual Studio Code | Azure Tips and Tricks

In this edition of Azure Tips and Tricks, learn how to create an Azure Functions project with Visual Studio Code. To start working with Azure Functions, make sure the "Azure Functions" extension is installed inside of Visual Studio Code.

How to manage virtual machines on the go via the Azure mobile app | Azure Portal Series

Managing your Azure virtual machines while you’re on the go is easy using the Azure mobile app. In this video of the Azure Portal "How To" series, learn how to use the Azure mobile app to monitor, manage, and stay connected to your Azure virtual machines.

How to monitor your Kubernetes clusters | Kubernetes Best Practices Series

Get best practices on how to monitor your Kubernetes clusters from field experts in this episode of the Kubernetes Best Practices Series. In this intermediate level deep dive, you will learn about monitoring and logging in Kubernetes from Dennis Zielke, Technology Solutions Professional in the Global Black Belts Cloud Native Applications team at Microsoft.

Simon Timms on Azure Functions and Processes – Episode 23 | The Azure DevOps Podcast

Simon Timms is a long-time freelance Software Engineer, multi-time Microsoft MVP co-host of ASP.NET Monsters on Channel 9, and also runs the Function Junction YouTube channel. He considers himself a generalist with a history of working in a diverse range of industries. He’s personally interested in A.I., DevOps, and microservices; and skilled in Software as a Service (SaaS), .NET Framework, Continuous Integration, C#, and JavaScript. He’s also written two books with Packt Publishing: Social Data Visualization with HTML5 and JavaScript and Mastering JavaScript Design Patterns. In this week’s episode, Simon and Jeffrey will be discussing Azure Functions and running processes in Azure. Simon explains how the internal model of Azure Functions works, the difference between Azure Functions and Durable Functions, the benefits and barriers to Azure Functions, and much, much more.

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Events

Learn how to build with Azure IoT: Upcoming IoT Deep Dive events

Microsoft IoT Show, the place to go to hear about the latest announcements, tech talks, and technical demos, is starting a new interactive, live-streaming event and technical video series called IoT Deep Dive.

Join us in Seattle from May 6-8 for Microsoft Build

Join us in Seattle for Microsoft’s premier event for developers. Come and experience the latest developer tools and technologies. Imagine new ways to create software by getting industry insights into the future of software development. Connect with your community to understand new development trends and innovative ways to code. Registration goes live on February 27.

Customers, partners, and industries

PyTorch on Azure: Deep learning in the oil and gas industry

Drilling for oil and gas is one of the most dangerous jobs on Earth. Workers are exposed to the risk of events ranging from small equipment malfunctions to entire off shore rigs catching on fire.

How to avoid overstocks and understocks with better demand forecasting

Promotional planning and demand forecasting are incredibly complex processes. Something seemingly straight-forward, like planning the weekly flyer, requires answers to thousands of questions involving a multitude of teams deciding which products to promote, and where to position the inventory to maximize sell-through. Explore how Rubikloud’s Price & Promotion Manager enables AI-powered optimization for enterprise retail and allows merchants and supply chain professionals to take a holistic approach to integrated forecasting and replenishment.

Ignite: The Tour was in Australia last week, which is home to A Cloud Guru. Check out this three-part report from Lars Klint.

Azure This Week – Ignite Special – 12 February 2019 | A Cloud Guru – Azure This Week

Lars reports from an exclusive invite-only tour of the Microsoft Quantum research facility at Sydney University.

Azure This Week – Ignite Special – 13 February 2019 | A Cloud Guru – Azure This Week

On this special edition episode of Azure This Week, Lars talks to Anthony Chu, Christina Warren, Jason Hand and looks at the new support for Azure SQL Database in Azure Stream Analytics.

Azure This Week – Ignite Special – 14 February 2019 | A Cloud Guru – Azure This Week

On day 2 of Microsoft Ignite | The Tour | Sydney Lars talks Azure security with Damian Brady, Tanya Janca, Orin Thomas and Troy Hunt.

Quelle: Azure

Learn how to build with Azure IoT: Upcoming IoT Deep Dive events

Microsoft IoT Show, the place to go to hear about the latest announcements, tech talks, and technical demos, is starting a new interactive, live-streaming event and technical video series called IoT Deep Dive!

Each IoT Deep Dive will bring in a set of IoT experts, like Joseph Biron, PTC CTO of IoT, and Chafia Aouissi, Azure IoT Senior Program Manager, during the first IoT Deep Dive, "Building End to End industrial Solutions with PTC ThingWorx and Azure IoT.” Join us on February 20, 2019 from 9:00 AM – 9:45 AM Pacific Standard Time to walk-through end to end IoT solutions, technical demos, and best practices.

Come learn and ask questions about how to build IoT solutions and deep dive into intelligent edge, tooling, DevOps, security, asset tracking, and other top requested technical deep dives. Perfect for developers, architects, or anyone who is ready to accelerate going from proof of concept to production, or needs best practices tips while building their solutions.

Upcoming events

IoT Deep Dive Live: Building End to End industrial Solutions with PTC ThingWorx and Azure

PTC ThingWorx and Microsoft Azure IoT are proven industrial innovation solutions with a market-leading IoT cloud infrastructure. Sitting on top of Azure IoT, ThingWorx delivers a robust and rapid creation of IoT applications and solutions that maximizes Azure services such as IoT Hub. Join the event to learn how to build an E2E industrial solution. You can setup a reminder to join the live event.

When: February 20, 2019 at 9:00 AM – 9:45 AM Pacific Standard Time | Level 300
Learn about: ThingWorx, Vuforia Studio, Azure IoT, and Dynamics 365
Special guests:

Joseph Biron, Chief Technology Officer of IoT, PTC
Neal Hagermoser, Global ThingWorx COE Lead, PTC
Chafia Aouissi, Senior Program Manager, Azure IoT
Host: Pamela Cortez, Program Manager, Azure IoT

Industries and use cases: Smart connected product manufactures in the verticals of including automotive, industrial equipment, aerospace, electronics, and high tech.

Location Intelligence for Transportation with Azure Maps 

Come learn how to use Azure Maps to provide location intelligence in different areas of transportation such as fleet management, asset tracking, and logistics.

When: March 6, 2019 9:00 AM – 9:45 AM Pacific Standard Time | Level 300
Learn about: Azure Maps, Azure IoT Hub, Azure IoT Central, and Azure Event Grid
Guest speakers:

Ricky Brundritt, Senior Program Manager, Azure IoT
Pamela Cortez, Program Manager, Azure IoT

Industries and use cases: Fleet management, logistics, asset management, and IoT

Submit questions before the events on the Microsoft IoT tech community or during the IoT Deep Dive live event itself! All videos will be hosted on Microsoft IoT Show after the live event.
Quelle: Azure