This blog post was co-authored by Steve Buchanan, Cloud & Datacenter MVP.
DevOps focuses on aligning culture, people, processes, and technology. It is sometimes thought that the technology part does not play a critical role in DevOps. This is wrong! Tools and technology help facilitate DevOps methodology and processes. Having the wrong tools and technology when trying to roll out DevOps can make it a challenge and can even become a blocker. Cloud platforms enable DevOps and are often the catalyst for rolling out DevOps. A recent Gartner report says that 75 percent of organizations plan to pursue a hybrid cloud strategy. An organization that implements a hybrid cloud strategy will need a consistent DevOps model across both an on-premises and public cloud. Microsoft Azure Stack extends Azure cloud services and capabilities to the on-premises environment, which is why it is so valuable for DevOps. Now let’s dive in to see what DevOps on Azure Stack looks like.
Azure Stack and Azure give you the ability to stand up a hybrid continuous integration/continuous development (CI/CD) pipeline. With hybrid CI/CD, workloads can land on either an on-premises or public cloud, and they can be moved. Code that’s written for Azure Stack
On behalf of the Azure Stack team, I would like to extend our thanks and appreciation to Ignite 2018 attendees for the overwhelming response to our series of Azure Stack, Azure Data Box, and Avere sessions. Now, we’re thrilled to share the sessions on-demand to everyone, everywhere.
Before diving into the session videos below, I encourage you to learn more about the Azure solutions enabling a new era of intelligent cloud and intelligent edge computing. Read an excellent overview from Julia White, Corporate Vice President of Microsoft Azure, and visit our new Future of Cloud webpage.
These sessions are packed with information, use cases, and guidance to help you understand the principles of Azure Stack. Explore use cases for implementing the solution and get started.
To help you zero in on content relevant to your interests and expertise, follow our two learning paths—four sessions tailored for operators and four sessions for developers (with a special session for CSPs), then explore over 12 additional sessions that drill down into topics that may interest you.
At Microsoft Ignite 2018, PowerShell in Azure Cloud Shell became generally available. Azure Cloud Shell provides an interactive, browser-accessible, authenticated shell for managing Azure resources from virtually anywhere. With multiple access points, including the Azure portal, the stand-alone experience, Azure documentation, the Azure mobile app, and the Azure Account Extension for Visual Studio Code, you can easily gain access to PowerShell in Cloud Shell to manage and deploy Azure resources.
Since the public preview in September 2017, we’ve incorporated feedback from the community including faster start-up time, PowerShell Core, consistent tooling with Bash, persistent tool settings, and more.
At the beginning of PowerShell in Cloud Shell’s public preview, the experience opened in about 120 seconds. Now, with many performance updates, the PowerShell experience is available in about the same amount of time as a Bash experience.
PowerShell is now cross-platform, open-source, and built for heterogeneous environments and the hybrid cloud. With the Azure PowerShell and Azure Active Directory (AAD) modules for PowerShell Core, both now in preview, you are still able to manage your Azure resources in a consistent manner. By moving to PowerShell Core, the PowerShell experience in Cloud Shell can now run on
Today, we are happy to announce the public preview of Named Entity Recognition as part of the Text Analytics Cognitive Service. Named Entity Recognition (NER) is the ability to take free-form text and identify the occurrences of entities such as people, locations, organizations, and more. With just a simple API call, NER in Text Analytics uses robust machine learning models to find and categorize more than twenty types of named entities in any text documents.
Many organizations have messy piles of unstructured text in the form of customer feedback, enterprise documents, social media feeds, and more. However, it is challenging to understand what information these ever-growing stacks of documents contain. Text Analytics has long been helping customers make sense of these troves of text with capabilities such as Key Phrase Extraction, Sentiment Analysis, and Language Detection. Today’s announcement adds to this suite of powerful and easy-to-use natural language processing solutions that make it easy to tackle many problems.
Named Entity Recognition and Entity Linking
Building upon the Entity Linking feature that was announced at Build earlier this year, the new Entities API processes the text using both NER and Entity Linking capabilities. This makes it an extremely powerful solution for squeezing
This blog is co-authored by Wee Hyong Tok, Principal Data Scientist Manager, Office of the CTO AI.
In recent years, we have seen a leap in practical AI innovations catalyzed by vast amounts of data, the cloud, innovations in algorithms, hardware and more. So how do developers begin to design AI applications that engage and delight your customers, optimize operations, empower your employees, and transform products?
Using Azure Cognitive Services you can now infuse your applications, websites, and bots with intelligent capabilities. These capabilities build on years of research done on vision, speech, knowledge, search, and language. Using different cognitive services, developers can now easily add AI capabilities without training the machine learning models from scratch.
O’Reilly and Microsoft are excited to bring you a free e-book on AI, titled A Developer’s Guide to Building AI Applications. In this e-book, Anand Raman and Wee Hyong Tok of Microsoft provide a gentle introduction to use Azure AI for building intelligent, AI applications. They provide a practical example of a bot called “Conference Buddy”, that is used by conference attendees. The e-book walks through the use case, the architecture, and how to create the bot while infusing it with AI. The code
Whether you are a developer, site reliability engineer, IT Ops specialist, program manager, or a DevOps practitioner monitoring is something you definitely care about! With modern applications evolving from an on-premises world to becoming more hybrid or microservices based, there is also a need to evolve skill sets and adopt some best practices for a successful monitoring strategy on a hybrid/public cloud.
Azure Monitor is Microsoft’s unified monitoring solution that provides full-stack observability across applications and infrastructure. Depending on the hat you are wearing at the moment, you can start with end-to-end visibility across the health of your resources, drill down to the most probable root cause of a problem, even to actual lines of code, fix the issue in your app or infrastructure, and re-deploy in a matter of minutes. If you have a robust monitoring pipeline setup, you should be able to find and fix issues way before it starts impacting your customers.
Many of you already know how Continuous Integration and Continuous Deployment (CI/CD) as a DevOps concept can help you deliver software faster and more reliably to provide continuous value to your users. Continuous Monitoring (CM) is a new follow-up concept where you can
A few months ago, we released a significant update to the Azure IoT Reference Architecture, a downloadable resource that aims to accelerate customers building IoT solutions on Azure by providing a proven production ready architecture and technology implementation choices.
Today, we are happy to release updated version 2.1 of the Azure IoT Reference Architecture. The document offers an overview of the IoT space, recommended subsystem factoring for scalable IoT solutions, prescriptive technology recommendations per subsystem, and detailed sections that explore use cases and technology alternatives.
This latest version of the guide includes four essential updates:
Guidance to build IoT solutions by leveraging SaaS (Azure IoT Central), PaaS (Azure IoT solution accelerators), or IaaS (using OSS stack). Azure IoT Central is a fully managed global IoT SaaS (software-as-a-service) solution that makes it easy to connect, monitor, and manage your IoT assets at scale. Azure IoT solution accelerators are open source offerings that provide end to end examples showcasing the use of Azure technologies to achieve faster time to market and time to value. Incorporating Azure IoT Edge as the intelligent edge for expanding the set of connected devices that gather telemetry, generate insights, and take action based on information close to
There is a new Azure PowerShell module, built to harness the power of PowerShell Core and Cloud Shell, and maintain compatibility with PowerShell 5.1. Its name is Az. Az ensures that PowerShell and PowerShell Core users can get the latest Azure tooling in every PowerShell, on every platform. Az also simplifies and normalizes Azure PowerShell cmdlet and module names. Az ships in Azure Cloud Shell and is available from the PowerShell Gallery.
For complete details on the release, timeline, and compatibility features, please see GitHub announcement page.
Az module features Az is a replacement for AzureRM and AzureRM.Netcore. Az runs on PowerShell 5.1 and PowerShell Core. Az is always up to date with the latest tooling for Azure services. Az ships in Cloud Shell. Az shortens and normalizes cmdlet names. All cmdlets use “Az” as their noun prefix. Az will simplify and normalize module names. Data plane and management plane cmdlets for each service will use the same Az module. Az ships with new cmdlets to enable script compatibility with AzureRM (Enable/Disable-AzureRmAlias). Supported platforms PowerShell 5.1 – Windows 7 or greater with .Net Framework 4.7.2 or greater installed PowerShell Core 6.0 – Windows, Mac OS, Linux PowerShell Core 6.1 –
It has been an incredible year for Azure confidential computing, working with partners and customers, that has culminated in our confidential computing offerings becoming publicly available. At Ignite, we announced our intent, and I am excited to say that just two weeks later we are delivering on our promise of releasing the DC-series of virtual machines and open sourcing the Open Enclave SDK.
As a quick recap, Azure confidential computing protects your data while it’s in use. It is the final piece to enable data protection through its lifecycle whether at rest, in transit, or in use. It is the cornerstone of our ‘Confidential Cloud’ vision, which aims to make data and code opaque to the cloud provider.
Today, we are excited to announce a public preview of the DC-series of virtual machines in US East and Europe West. Years of work with our silicon vendors have allowed us to bring application isolation technology to hardware in our datacenters to support this new VM family. While these virtual machines may ‘look and feel’ like standard VM sizes from the control plane, they are backed by hardware-based Trusted Execution Environments (TEEs), specifically the latest generation of Intel Xeon Processors with Intel
I’m pleased to announce that Microsoft is joining the Open Invention Network (“OIN”), a community dedicated to protecting Linux and other open source software programs from patent risk.
Since its founding in 2005, OIN has been at the forefront of helping companies manage patent risks. In the years before the founding of OIN, open source licenses typically covered only copyright interests and were silent about patents. OIN was designed to address this gap by creating a voluntary system of patent cross-licenses between member companies covering Linux System technologies. OIN has also been active in acquiring patents at times to help defend the community and to provide education and advice about the intersection of open source and intellectual property. Today, through the stewardship of its CEO Keith Bergelt and its Board of Directors, the organization provides a license platform for roughly 2,400 companies globally. The licensees range from individual developers and startups to some of the biggest technology companies and patent holders on the planet.
We know Microsoft’s decision to join OIN may be viewed as surprising to some, as it is no secret that there has been friction in the past between Microsoft and the open source community over the