Cloud Commercial Communities webinar and podcast newsletter–February 2019

Welcome to the Cloud Commercial Communities monthly webinar and podcast update. Each month the team focuses on core programs, updates, trends, and technologies that Microsoft partners and customers need to know to increase success using Azure and Dynamics. Make sure you catch a live webinar and participate in live QA. If you miss a session, you can review it on demand. Also, consider subscribing to the industry podcasts to keep up to date with industry news.

Upcoming in February 2019

Webinars

Optimize Your Marketplace Listing with Featured Apps and Services – Tuesday, February 5, 2019 11:00 AM PST
Do you have an application or service listed on Azure Marketplace or AppSource? Looking to optimize your listing to be more discoverable by customers? Discoverability in Azure Marketplace and AppSource can be optimized in a variety of ways. Join this session to learn about how you can gain more visibility for your listings by optimizing content, using keywords, adding trials, and about what matters to Microsoft for Featured Apps and Featured Services on Azure Marketplace and AppSource.
Leveraging Free Azure Sponsorship to Grow Your Business on Azure – Tuesday, February 12, 2019 10:00 AM PST
Microsoft has made significant investments in our partners and customers to help them meet today’s complex business challenges and drive business growth. Through Microsoft Azure Sponsorship, partners and customers can get access to free Azure based on their deployment and technical needs. Azure Sponsorship is available to new and existing Azure customers looking to try new partner solutions, and to partners working to build their solutions on Azure.
Get the Most Out of Azure with Azure Advisor – Tuesday, February 19, 2019 10:00 AM PST
Azure Advisor is a free Azure service that analyzes your configurations and usage and provides personalized recommendations to help you optimize your resources for high availability, security, performance, and cost. In this demo-heavy webinar, you’ll learn how to review and remediate Azure Advisor recommendations so you can stay on top of Azure best practices and get the most out of your Azure investment both for your own organization and your customers.
Incidents, Maintenance, and Health Advisories: Stay Informed with Azure Service Health – Tuesday, February 26, 2019 10:00 AM PST
Azure Service Health is a free Azure service that provides personalized alerts and guidance when Azure service issues affect you. It notifies you, helps you understand the impact to your resources, and keeps you updated as the issue is resolved. It can also help you prepare for planned maintenance and changes that could affect the availability of your resources. In this demo-heavy webinar, you’ll learn how to use Azure Service Health keep both your organization and your customers informed about Azure service incidents.
Introducing a New Approach to Learning: Microsoft Learn – Wednesday, February 27, 2019 11:00 AM PST
At Microsoft Ignite 2019, Microsoft launched an exciting new learning platform called Microsoft Learn. During this session, we will provide a demo and overview of the platform, the inspiration and vision of its design, and how we have adapted training to modern learning styles.

Podcasts

The full lifecycle of implementing IoT with PTC – Thursday, Feb 7, 2019
Applying Artificial Intelligence in retail – Thursday, Feb 21, 2019

Recap for January 2019

Webinars

Grow, Build, and Connect with Microsoft for Startups – January 23, 2019 at 11am PST
Microsoft for Startups is a unique program designed to help startups become a Microsoft business partner, through access to technology, channels, markets and customers. Tune into this session to learn more about the Microsoft for Startups program, a $500 million initiative to provide startups access to both the technology and customer base needed to build and grow their business.
Transform Data into Dollars by Enabling Intelligent Retail with Microsoft – January 29, 2019 at 10am PST
Microsoft is enabling retailers to deliver personalized customer experiences by empowering employees, driving digital transformation, and capturing data-based insights to accelerate growth for our partners and customers.  This 30-minute session will arm partners with real case studies and actionable solutions for each Intelligent Retail scenario with an opportunity for live Q&A with our Retail expert.
Azure Marketplace and AppSource Publisher Payouts and Seller Insights – January 30, 2019 at 11am PST
Azure Marketplace and AppSource is your launchpad to Go-To-Market with Microsoft and promote your offerings to customers. Join this exciting session to learn more about how Azure Marketplace and AppSource Publisher payouts work and gain exposure to the Seller Insights tool within Cloud Partner Portal.

Podcasts

Evolving actuarial risk compute and modeling on Azure
Nick Leimer shares changes occurring in the insurance industry and how companies are dealing with it. Specifically, we look at computing risk for regulatory compliance and how it might be a good match for Azure services, like Azure Batch or Azure High-Performance Computing.
Reduce healthcare costs with digital transformation: security, compliance and backup on Azure
Healthcare IT veteran, David Houlding, chats with us about reducing costs in healthcare as part of an organization’s digital transformation and specifically, outlines the tools and techniques needed for these transformations to succeed.
Adopting Azure for real-time payments
In this episode, Howard Bush talks with us about enabling real-time transactions instead of the customary batch transactions that financial institutions use today.
The full lifecycle of implementing IoT with PTC
From planning to streaming analytics, this episode looks at all phases of introducing IoT to a company. Just having the data is often not enough to make decisions. Insights must be gleaned from that data.
Joel Neidig of SIMBA Chain talks with us about Blockchain as a service
The podcast focuses on blockchain as a service and how it can be leveraged in manufacturing. With very real use cases and stories of success, we'll see how blockchain is affecting manufacturing in various ways today.
Using Cognitive Services with Containers
Container support in Azure Cognitive Services allows developers to use the same rich APIs that are available in Azure and enables flexibility in where to deploy and host the services that come with Docker containers.

Check out recent podcast episodes at the Microsoft industry experiences team podcast page.
Quelle: Azure

Azure Monitor January 2019 updates

Azure Monitor, which now includes Log Analytics and Application Insights, provides sophisticated tools for collecting and analyzing telemetry. It allows you to maximize the performance and availability of your cloud, on-premises resources, and applications. It helps you understand how your applications are performing and proactively identifies issues affecting them and the resources on which they depend.

Learn more about how you can get started with Azure Monitor. Now let’s check out what’s new from the past month.

Acknowledgements

First, a huge thank you to our customers for once again naming Microsoft a Gartner Peer Insights Customers’ Choice for Application Performance Monitoring Suites for its System Center Operations Manager, Microsoft Azure Application Insights, and System Center Global Service Monitor applications.

Application Insights

Application Insights is the application performance monitoring (APM) service of Azure Monitor, providing observability for Java, .NET, and Node.js web services, plus client-side JavaScript apps.

End-to-end transactions

The end-to-end transactions view now supports time scrubbing. Click and drag over a period of time to filter the view to that time range and analyze it in more detail.

Performance and failures

We’ve squashed a handful of bugs in the performance and failures tools:

The Roles tab now preserves role selection while navigating from the application map
The Roles tab no longer shows duplicated role instances with empty role names
The details pane no longer shows "…" beside items like event times that shouldn't have had this button

Availability

In the availability tool, we fixed a bug where navigating from the availability scatter plot wouldn’t show the closest result with a web test available in the end-to-end transactions view.

Application map

We’ve made the application map even easier to read and navigate:

Added a “Zoom to fit” button
Grouped nodes are now shown as a stack to make them easier to distinguish
Added “expand” and “collapse” buttons for the insights cards in the flyout menu
Nodes without incoming connections are now shown closer to their first outbound connection on the map, which should make many maps easier to read
Better support for proxies (multiple services called through the same host name) by removing the proxy dependency node and directly linking the services
Maps with many complex grouped edges will now show statistics

Pricing calculator

We updated the Azure pricing calculator to make it easier to estimate your Application Insights bills. Now, you can enter an estimate of traffic to your app and we’ll show prices for apps that have received similar levels of traffic.

Application Insights SDK

We released v2.9.0 of the .NET SDK and v2.6.0 of the ASP.NET Core SDK, each with several performance improvements and bug fixes.

We also shipped a standalone version of the Application Insights Provider for ILogger, which adds scopes support, the most requested feature from our GitHub community.

OpenCensus SDK

We released an alpha version of our C# OpenCensus SDK. OpenCensus is a cross-industry open source project, working towards a single distribution of libraries for metrics and distributed tracing with minimal overhead.

Log Analytics

Log Analytics blade renamed

The Log Analytics blade in the Azure portal has been renamed Log Analytics workspaces. This change clarifies that this blade is intended to manage your workspaces by connecting data sources, installing solutions, measuring cost, and more. You can also use the logs tool to query logs of a selected workspace, but remember logs is also available through other paths such as Azure Monitor, Application Insights, virtual machines, and many others.

Log Analytics data encryption

Log Analytics uses Azure Data Explorer to manage its data. The data is stored in Azure Storage, and it is encrypted using a Microsoft managed encryption key. Azure Data Explorer also uses an SSD-backed hot cache that typically stores the last two weeks of data. Starting in January, the data in the SSD caches have also been encrypted in all regions, except for West Central US which will be completed in February.

Protection from losing queries on page refresh

Have you ever worked for a long time on a query and just when you got it right you accidently selected refresh page and lost all your work? Don’t worry, we got you covered. Log Analytics now automatically saves your queries, so they don’t get lost. This feature requires third-party cookies to be enabled in your browser.

Schema updates – Table preview, a new table icon, and featured tables

Log Analytics users love our schema display, so we made it even better. New icons indicate table items in the schema view, making it easier to read. When hovering a table, a new preview item enables a quick execution of a query to view a table’s contents. When you’re in a virtual machine context, the new featured view allows you to see commonly queried tables to allow quicker insights.

Select filters

The Log Analytics filter pane (preview) is a great way to refine query results without in-depth KQL knowledge. The filter pane suggests fields to query based on our algorithms. However, in some cases the field you need to filter on is not included in the initial list of filter fields. To address this, we allow the customization of filter fields right from the filter pane. Simple select the new Select filter icon and add the field you need:

Then select the field you’d like to see filters for:

Set a title for your charts

Add more context to your charts by using the title keyword to add a title. This is especially useful when pining a chart to dashboards:

Support made easier with your request ID

If a query fails and you’d like to contact support, you can now provide the request ID of the failed query and we’ll be able to investigate what failed this specific run.

To get the request ID select the right-most button on the results status bar and it will be copied to your clipboard.

Workbooks

Azure Monitor Workbooks are rich, interactive reports that combine text, analytics queries, Azure metrics, and parameters. We’ve made two additions this month:

You can now take a workbook and pin all its sections as tiles to an Azure dashboard. To give this a try, select the Pin button in the toolbar of a workbook.
Workbooks created from the Troubleshooting Guides tab or from Azure Monitor for Resource Groups now allow you choose in which subscription, resource group, and location to save them.

Azure Metrics

From the metrics page, you can now pick to which Azure dashboard you pin your metric charts. You can even create a new dashboard right from the same place.

You can also now lock y-axis boundaries for metrics charts.

Finally, we’ve removed the classic metric explorer tool from the Azure portal now that the transition to the new metrics tool is complete.

Azure Monitor for Virtual Machines (VMs)

Workbooks are now available in Azure Monitor for VMs. Select the View workbooks link to open the gallery and then try out one of the reports. Feel free to customize the report as needed, or duplicate it to start making a new report.

Microsoft was named a Gartner Peer Insights Customers’ Choice for Application Performance Monitoring Suites in both June 2018 and January 2019.

 

The Gartner Peer Insights Customers’ Choice badge is a trademark and service mark of Gartner, Inc., and/or its affiliates, and is used herein with permission. All rights reserved. Gartner Peer Insights Customers’ Choice constitute the subjective opinions of individual end-user reviews, ratings, and data applied against a documented methodology; they neither represent the views of, nor constitute an endorsement by, Gartner or its affiliates.
Quelle: Azure

Mirantis Joins OpenStack Foundation’s Airship to Bring Kubernetes to Telcos

The post Mirantis Joins OpenStack Foundation’s Airship to Bring Kubernetes to Telcos appeared first on Mirantis | Pure Play Open Cloud.
Company extends its upstream collaboration with AT&T and announces Airship integration
into Mirantis Cloud Platform to support NFV infrastructure based on Kubernetes

CAMPBELL, CA — February 7, 2019 — Today
Mirantis
announced that it is joining
Airship
, a project originally founded by
AT&T, SKT and Intel
and launched as a pilot Open Infrastructure Project under the
OpenStack Foundation
in May 2018. One key use case for
Airship
is enabling telcos to take advantage of on-premises Kubernetes infrastructure to support their SDN infrastructure
builds.

Mirantis will collaborate with
AT&T
and other core contributors to develop critical features in support of the Airship community roadmap. This work will
be rapidly deployed in production at scale via AT&T’s Airship, Kubernetes and OpenStack based
Network Cloud
infrastructure.

Mirantis will primarily focus on:

Integration between Drydock and Ironic to provision bare metal Kubernetes clusters
Streamlining initial configuration experience of deploying Kubernetes-native services on premise, making it
simpler for telcos to adopt

Support for multiple operating systems, to broaden the choice of VNFs and minimize lock-in

“Replacing VM-based infrastructure with cloud-native, open technologies based on containers and Kubernetes yields
order-of-magnitude efficiency improvements for telco network environments and beyond,” said Adrian Ionel, Mirantis
Co-Founder and CEO. “Working so closely with AT&T in the Airship community will accelerate the delivery of the
benefits of Kubernetes to the broad ecosystem of telecommunications providers.”

Airship takes advantage of Kubernetes to define a unified, declarative and cloud-native way for operators to manage
containerized software delivery of cloud infrastructure services. At the OpenStack Summit in Berlin, AT&T shared its
plans to roll Kubernetes on-premise based on Airship to underpin its 5G Network infrastructure.

“As we roll out Network Cloud for 5G, our goal at AT&T is to run infrastructure based on open standards like
Kubernetes and OpenStack,” said Ryan van Wyk, AVP — Network Cloud Software Engineering at AT&T. “Mirantis has a
long track record of contributing to open source and we are glad to have them collaborate with us on the Airship
project.”

Aside from contributing to Airship upstream and collaborating with AT&T on key roadmap features, Mirantis is
integrating much of the code into
Mirantis Cloud Platform
(MCP), Mirantis’s core product that empowers telcos and enterprises to efficiently run Kubernetes on-premises.
Mirantis will be demonstrating the benefits of adopting Kubernetes-based open infrastructure for 5G in a series of
customer workshops at

Mobile World Congress in Barcelona

.

About the OpenStack Foundation (OSF)

The OpenStack Foundation (OSF) supports the development and adoption of open infrastructure globally, across a
community of 100,000 individuals in 187 countries, by hosting open source projects and communities of practice,
including datacenter cloud, edge computing, NFV, CI/CD and container infrastructure.

About Mirantis

Mirantis is the flexible infrastructure company harnessing open source to free application owners from operations
concerns. The company employs a unique build-operate-transfer approach to deliver two distinct products:

Mirantis Cloud Platform, which is based on Kubernetes and OpenStack and helps services providers and enterprises
run highly tunable private clouds powered by infrastructure-as-code and based on open standards.

Mirantis Application Platform, which is based on Spinnaker and helps enterprises adopt cloud native continuous
delivery to realize cloud ROI at scale.

To date, Mirantis has helped more than 200 enterprises and service providers build and operate some of the largest
open clouds in the world. Its customers include iconic brands such as Adobe, AT&T, Comcast, Reliance Jio, State
Farm, STC, Vodafone, Volkswagen, and Wells Fargo. Learn more at www.mirantis.com.

Contact information:

Joseph Eckert for Mirantis

jeckertflak@gmail.com
The post Mirantis Joins OpenStack Foundation’s Airship to Bring Kubernetes to Telcos appeared first on Mirantis | Pure Play Open Cloud.
Quelle: Mirantis

Build containers faster with Cloud Build with Kaniko

At Google, we believe that fast builds are key to developer productivity. A recent internal study showed that our largest source of wasted engineering time comes from builds that take 2-10 minutes. We’re not the only ones to notice this. In another study, Stripe found that companies waste $300 billion from lost developer productivity every year. And most importantly, our customers notice this as well! Faster builds and caching have been some of the most requested features for Cloud Build since we launched it in July.Today, we’re excited to announce a new feature for Cloud Build that caches container build artifacts, resulting in much faster build times. Based on Kaniko, an open-source tool for building container images from a Dockerfile, this feature stores and indexes intermediate layers inside of Google Container Registry, so they are available for use by subsequent builds. This feature is available for testing in Cloud SDK Release 229.0.0.To try it out, run:and then (from a directory with a Dockerfile in it) send a build with:This cache is based on the exact Dockerfile and source context used by the build, and follows the general Dockerfile caching patterns. To learn more about how to optimize a Dockerfile for caching, see this documentation on leveraging the build cache. This cache is scoped on a “per-repository” basis, and has a six-hour TTL by default. This can be configured by running:You can also use Kaniko instead of “docker build” in your cloudbuild.yaml config to take advantage of these caching improvements:This is one of the first of many features we’re rolling out in Cloud Build to automatically make your builds faster, smarter and more secure. Please try it out and let us know if you have any feedback by joining the Kaniko users Google Group.
Quelle: Google Cloud Platform

Query without a credit card: introducing BigQuery sandbox

Today we are announcing the BigQuery sandbox, a credit-card free path to enable new users and students to experiment with BigQuery at no cost—without having to enter credit card information. As organizations begin to collect more and more data, many find that a serverless data warehouse like BigQuery is the only platform that can scale to meet their needs. BigQuery also provides a flexible web-based interface for running advanced queries on large public datasets. You can now explore both these benefits of BigQuery with no financial commitment whatsoever.BigQuery is Google’s serverless cloud data warehouse that is so simple that you only need a Standard SQL query and your curiosity to start generating insights. If you’re interested in learning more from BigQuery’s documentation, you can find it here.As a BigQuery sandbox user, you can access the same compute power as paying users, and just like paying users, you get to run SQL queries over large and small data sets as well as use new capabilities like BigQuery Machine Learning and BigQuery Geospatial Information Systems.BigQuery sandbox provides you with up to 1 terabyte per month of query capacity and 10GB of free storage. All tables and partitions have a 60-day retention policy. Some features of BigQuery are not included in the sandbox (DML, Streaming, Data Transfer Service). If you want to use these capabilities, you can simply click on Upgrade in the console (see image below), which will guide you through the process of providing your payment information.Who is this for?We created BigQuery sandbox for users who want to try BigQuery for free without facing the hassle of first having to enter payment information.Students can now use BigQuery for a class or a project without needing to worry about billing.Government or civic employees who want to investigate BigQuery’s capabilities without needing to go through a spending approval process can simply log in, sign up and run a query.Professional developers who want to experiment to see how BigQuery fits into their corporate architecture can test out their integrations.Users of other Google products such as Firebase can now put their data in BigQuery (Firebase actually has an automated pipeline) to see how ad hoc analytics expands the questions that they ask of their data.Scientists and academic researchers who are interested to learn about how cloud computing can transform their analysis.The difference between BigQuery sandbox and the GCP free trialGoogle Cloud Platform (GCP) has two introductory offers. BigQuery sandbox is a BigQuery-specific initiative to provide easy access to BigQuery without needing to grab your credit card. If you want to experiment with BigQuery right now and other GCP products after, then BigQuery sandbox is where you’ll want to start. Click on TRY BIGQUERY FREE (blue oval).The GCP free trial includes a $300 credit that applies across all Google Cloud Platform (GCP) products. If you want to experiment with multiple products, then you can activate the GCP free trial by clicking on the button that says “Try free” (black dashes). Note: the free trial does require a credit card.Rolling up your sleeves in the BigQuery sandboxTo start, you can find the BigQuery webpage here. Click on the button that says “TRY BIGQUERY FREE.” Follow the prompts, and in four steps and less than 60 seconds, you’ll land at the BigQuery web interface ready to write your first query.What will your first query be? BigQuery hosts dozens of interesting datasets as part of our public datasets program—you’ll find they’re an excellent place to get started.  Here are a few of our users’ favorite queries and their corresponding datasets:Cartographers and lovers of maps:Create a map of hurricane trajectoriesusing the NOAA weather data with the query in this tutorial and BigQuery Geo Viz to plot it.Cryptocurrency or blockchain enthusiasts:What are the 10 most popular Ethereum collectibles by number of transactions?  This query determines the 10 most popular collectibles on the Ethereum blockchain by determining which have the largest number of transactions. Learn more at the Ethereum Blockchain Marketplace Page from BigQuery Public DatasetsSoftware engineers:Where do Hacker News stories live? This query parses out the host from the URL so you can see where Hacker News stories originate. Learn more at the Hacker News Marketplace Page from BigQuery Public Datasets. If you are interested in more queries to run and instructions for loading data into the BigQuery sandbox you can look at this great step by step guide from Felipe Hoffa.Sports fans:How does three-point shooting accuracy change at the end of NCAA basketball games? This query compares three-point shooting accuracy from NCAA men’s and women’s basketball games in the first 35 minutes and the final 5 minutes. Learn more at the NCAA Basketball Marketplace Page from BigQuery Public Datasets.After you’ve run your query be sure to look for this button (see the green oval in the image below) to view your results in Data Studio, Google’s free data visualization product.Some words from our partners and colleaguesBigQuery sandbox strives to make it fast and easy for you to try BigQuery and explore the public datasets and your own data. Here’s what our partners and colleagues are saying:“Google’s integration of NOAA’s data into its platform’s tools, such as BigQuery, has enabled increased public usage by effectively removing many obstacles related to understanding scientific data formats and the preparation of data for analysis. By introducing lightweight subscriptions to Google services, coupled with limited free tiers of service, Google has lowered additional obstacles to entry for data users.”—Ed Kearns, NOAA’s Chief Data Officer“BigQuery sandbox has helped thousands of Firebase projects better understand their application’s usage, analyze the context of their crashes, and evaluate launch candidates. It gives them the tools to make meaningful decisions.”—Eugene Girard, Firebase Technical Lead ManagerBigQuery is a team effortThe BigQuery team is keen to hear what you choose as your first query. Please let us know what your first query was by tweeting with the hashtag #bqsandbox. To learn more about BigQuery, RSVP for the BigQuery BBQ in a city near you, where you’ll cook up some exciting data insights over delicious food and win prizes. You’ll be joined by Google Developer Advocates Felipe Hoffa and Minhaz Kazi, to solve our data challenge contest using public datasets available in BigQuery.
Quelle: Google Cloud Platform