Kategorie: Microsoft Azure

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

Azure DevOps Projects supporting Azure Cosmos DB and Azure Functions

With Azure DevOps Projects we want to make it is easy for you to set up a fully functional DevOps pipeline tailored to the development language and application platform you want to leverage.

We have been making continuous enhancements to Azure DevOps Projects and in the latest deployment now available to all customers, we have added support for Azure Cosmos DB and Azure Functions as target destinations for your application. This builds on the existing Azure App Service, Azure SQL Database, and Azure Kubernetes Service (AKS) support.

The support of Azure Cosmos DB in Azure DevOps Projects means that you will now be able to create a skeleton two tier Node.js application backed by Azure Cosmos DB in just a few clicks. Azure DevOps Projects creates all the scaffolding for your pipeline to give you everything you need to develop, deploy, and monitor your application including:

A Git code repository hosted in Azure Repos with a skeleton Node.js application
A CI/CD pipeline in Azure Pipelines for deploying the database tier to Azure Cosmos DB and the web-tier on Azure
Web Apps for containers, Azure Kubernetes Service, or as a Windows Web App in Azure
Provisioning all the Azure resources in your subscription required for the application
Application Insights integration for monitoring your application

After using Azure DevOps Projects to scaffold your application from the Azure portal you can then access the code and the CI/CD pipeline using Azure Repos and Azure Pipelines respectively.

With support for Azure Functions in Azure DevOps Projects, you will be able to create a skeleton .Net or a sample Node.js serverless application in just a few clicks. Like Azure Cosmos DB, with this workflow you will have everything you need to develop, deploy, and monitor your application including the Git Code repo, CI/CD pipeline, Application Insights, and necessary Azure resources.

These features are now available in the Azure portal. Get started by creating Azure DevOps Projects now. To learn more, please take a look at the documentation, “Azure DevOps Projects.”
Quelle: Azure

Analytics in Azure is up to 14x faster and costs 94% less than other cloud providers. Why go anywhere else?

It’s true. With the volume and complexity of data rapidly increasing, performance and security are critical requirements for analytics. But not all analytics services are built equal. And not all cloud storage is built for analytics.

Only Azure provides the most comprehensive set of analytics services from data ingestion to storage to data warehousing to machine learning and BI. Each of these services have been finely tuned to provide industry leading performance, security and ease of use, at unmatched value. In short, Azure has you covered.

Unparalleled price-performance

When it comes to analytics, price-performance is key. In July 2018, GigaOm published a study that showed that Azure SQL Data Warehouse was 67 percent faster and 23 percent cheaper than Amazon Web Service RedShift.

That was then. Today, we’re even better!

In the most recent study by GigaOm, they found that Azure SQL Data Warehouse is now outperforming the competition up to a whopping 14x times. No one else has produced independent, industry-accepted benchmarks like these. Not AWS Redshift or Google BigQuery. And the best part? Azure is up to 94 percent cheaper.

This industry leading price-performance extends to the rest of our analytics stack. This includes Azure Data Lake Storage, our cloud data storage service, and Azure Databricks, our big data processing service. Customers like Newell Brands – worldwide marketer of consumer and commercial products such as Rubbermaid, Mr. Coffee and Oster – recently moved their workload to Azure and realized significant improvements.

“Azure Data Lake Storage will streamline our analytics process and deliver better end to end performance with lower cost.” 

– Danny Siegel, Vice President of Information Delivery Systems, Newell Brands

Secure cloud analytics

All the price-performance in the world means nothing without security. Make the comparison and you will see Azure is the most trusted cloud in the market. Azure has the most comprehensive set of compliance offerings, including more certifications than any other cloud vendor combined with advanced identity governance and access management with Active Directory integration.

For analytics, we have developed additional capabilities to meet customers’ most stringent security requirements. Azure Data Lake Storage provides multi-layered security including POSIX compliant file and folder permissions and at-rest encryption. Similarly, Azure SQL Data Warehouse utilizes machine learning to provide the most comprehensive set of security capabilities across data protection, access control, authentication, network security, and automatic threat detection.

Insights for all

What’s the best compliment to Azure Analytics’ unmatched price-performance and security? The answer is Microsoft Power BI.

Power BI’s ease of use enables everyone in your organization to benefit from our analytics stack. Employees can get their insights in seconds from all enterprise data stored in Azure. And without limitations on concurrency, Power BI can be used across teams to create the most beautiful visualizations that deliver powerful insights.

Leveraging Microsoft’s Common Data Model, Power BI users can easily access and analyze enterprise data using a common data schema without needing complex data transformation. Customers looking for petabyte-scale analytics can leverage Power BI Aggregations with Azure SQL Data Warehouse for rapid query. Better yet, Power BI users can easily apply sophisticated AI models built with Azure. Powerful insights easily accessible to all.

Customers like Heathrow Airport, one of the busiest airports in the world, are empowering their employees with powerful insights:

“With Power BI, we can very quickly connect to a wide range of data sources with very little effort and use this data to run Heathrow more smoothly than ever before. Every day, we experience a huge amount of variability in our business. With Azure, we’re getting to the point where we can anticipate passenger flow and stay ahead of disruption that causes stress for passengers and employee.”

– Stuart Birrell, Chief Information Officer, Heathrow Airport

Future-proof

We continue to focus on making Azure the best place for your data and analytics. Our priority is to meet your needs for today and tomorrow.

So, we are excited to make the following announcements:

General availability of Azure Data Lake Storage: The first cloud storage that combines the best of hierarchical files system and blob storage.
General availability of Azure Data Explorer: A fast, fully managed service that simplifies ad hoc and interactive analysis over telemetry, time-series, and log data. This service, powering other Azure services like Log Analytics, App Insights, Time Series Insights, is useful to query streaming data to identify trends, detect anomalies, and diagnose problems.
Preview of new Mapping Data Flow capability in Azure Data Factory: Visual Flow provides a visual, zero-code experience to help data engineers to easily build data transformations. This complements the Azure Data Factory’s code-first experience to enable data engineers of all skill levels to collaborate and build powerful hybrid data transformation pipelines.

Azure provides the most comprehensive platform for analytics. With these updates, Azure solidifies its leadership in analytics.

Watch this space. There’s more to come!

Get started today

To learn more about how Azure provides the best price-performance, get started today.
Quelle: Azure

Individually great, collectively unmatched: Announcing updates to 3 great Azure Data Services

As Julia White mentioned in her blog today, we’re pleased to announce the general availability of Azure Data Lake Storage Gen2 and Azure Data Explorer. We also announced the preview of Azure Data Factory Mapping Data Flow. With these updates, Azure continues to be the best cloud for analytics with unmatched price-performance and security. In this blog post we’ll take a closer look at the technical capabilities of these new features.

Azure Data Lake Storage – The no compromise Data Lake

Azure Data Lake Storage (ADLS) combines the scalability, cost effectiveness, security model, and rich capabilities of Azure Blob Storage with a high-performance file system that is built for analytics and is compatible with the Hadoop Distributed File System. Customers no longer have to tradeoff between cost effectiveness and performance when choosing a cloud data lake.

One of our key priorities was to ensure that ADLS is compatible with the Apache ecosystem. We accomplished this by developing the Azure Blob File System (ABFS) driver. The ABFS driver is officially part of Apache Hadoop and Spark and is incorporated in many commercial distributions. The ABFS driver defines a URI scheme that allows files and folders to be distinctly addressed in the following manner:

abfs[s]://file_system@account_name.dfs.core.windows.net/<path>/<path>/<filename>

It is important to note that the file system semantics are implemented server-side. This approach eliminates the need for a complex client-side driver and ensures high fidelity file system transactions.

To further boost analytics performance, we implemented a hierarchical namespace (HNS) which supports atomic file and folder operations. This is important because it reduces the overhead associated with processing big data on blob storage. This speeds up job execution and lowers cost because fewer compute operations are required.

The ABFS driver and HNS significantly improve ADLS’ performance, removing scale and performance bottlenecks.  This performance enhancement is now available at the same low cost as Azure Blob Storage.

ADLS offers the same powerful data security capabilities built into Azure Blob Storage, such as:

Encryption of data in transit and at rest via TLS 1.2
Storage account firewalls
Virtual network integration
Role-based access security

In addition, ADLS’ file system provides support for POSIX compliant access control lists (ACLs). With this approach, you can provide granular security protection that restricts access to only authorized users, groups, or service principals and provides file and object data protection.

ADLS is tightly integrated with Azure Databricks, Azure HDInsight, Azure Data Factory, Azure SQL Data Warehouse, and Power BI, enabling an end-to-end analytics workflow that delivers powerful business insights throughout all levels of your organization. Furthermore, ADLS is supported by a global network of big data analytics ISV’s and system integrators, including Cloudera and Hortonworks.

Next steps

Visit the Azure Data Lake Storage product page to learn more.
Access documentation, quick starts, and tutorials.
Find pricing information for Azure Data Lake Storage.
Get started with Azure Data Lake Storage now.

Azure Data Explorer – The fast and highly scalable data analytics service

Azure Data Explorer (ADX) is a fast, fully managed data analytics service for real-time analysis on large volumes of streaming data. ADX is capable of querying 1 billion records in under a second with no modification of the data or metadata required. ADX also includes native connectors to Azure Data Lake Storage, Azure SQL Data Warehouse, and Power BI and comes with an intuitive query language so that customers can get insights in minutes.

Designed for speed and simplicity, ADX is architected with two distinct services that work in tandem: The Engine and Data Management (DM) service. Both services are deployed as clusters of compute nodes (virtual machines) in Azure.

The Data Management (DM) service ingests various types of raw data and manages failure, backpressure, and data grooming tasks when necessary. The DM service also enables fast data ingestion through a unique method of automatic indexing and compression.

The Engine service is responsible for processing the incoming raw data and serving user queries. It uses a combination of auto scaling and data sharding to achieve speed and scale. The read-only query language is designed to make the syntax easy to read, author, and automate. The language provides a natural progression from one-line queries to complex data processing scripts for efficient query execution.

ADX is available in 41 Azure regions and is supported by a growing ecosystem of partners, including ISV’s and system integrators.

Next steps

Visit the Azure Data Explorer product page to learn more.
Access documentation, quick starts, and tutorials.
Find pricing information for Azure Data Explorer.
Get started with Azure Data Explorer now.

Azure Data Factory Mapping Data Flow – Visual, zero-code experience for data transformation

Azure Data Factory (ADF) is a hybrid cloud-based data integration service for orchestrating and automating data movement and transformation. ADF provides over 80 built-in connectors to structured, semi-structured, and unstructured data sources.

With Mapping Data Flow in ADF, customers can visually design, build, and manage data transformation processes without learning Spark or having a deep understanding of their distributed infrastructure.

Mapping Data Flow combines a rich expression language with an interactive debugger to easily execute, trigger, and monitor ETL jobs and data integration processes.

Azure Data Factory is available in 21 regions and expanding, and is supported by a broad ecosystem of partners including ISV’s and system integrators.

Next steps

Visit the Azure Data Factory product page to learn more.
Access documentation, quick starts, and tutorials.
Find pricing information on Azure Data Factory.
Learn more about Mapping Data Flow.
Get started and sign-up for the preview of Azure Data Factory – Mapping Data Flow.

Azure is the best place for data analytics

With these technical innovations announced today, Azure continues to be the best cloud for analytics. Learn more why analytics in Azure is simply unmatched.
Quelle: Azure

Azure Cost Management now general availability for enterprise agreements and more!

As enterprises accelerate cloud adoption, it is becoming increasingly important to manage cloud costs across the organization. Last September, we announced the public preview of a comprehensive native cost management solution for enterprise customers. We are now excited to announce the general availability (GA) of Azure Cost Management experience that helps organizations visualize, manage, and optimize costs across Azure.

In addition, we are excited to announce the public preview for web direct Pay-As-You-Go customers and Azure Government cloud.

With the addition of the Azure Cost Management, customers now have an always-on, low-latency solution to understand and visualize costs with the following features available in Cost Management:

Cost analysis

This feature allows you to track costs over the course of the month and offers you a variety of ways to analyze your data. To learn more about how to use cost analysis, please visit our documentation, “Quickstart: Explore and analyze costs with Cost analysis.”

Budgets

Use budgets to proactively manage costs and drive accountability within your organization. To learn more about using Azure budgets please visit our documentation, “Tutorial: Create and manage Azure budgets.”

Exports

Export all your cost data to an Azure storage account using our new exports feature. You can use this data in external systems and combine it with your own data to maximize your cost management capabilities. To learn more about using Azure exports please visit our documentation, “Tutorial: Create and manage exported data.”

New Azure APIs

As a part of this release we are also making the APIs mentioned below available for you to build your own cost management solutions. To learn more about developing on top of our new cost management functionality, please visit the Azure REST API documentation links below.

Usage Query – Develop advanced API query calls to learn the most about your organization’s usage and cost patterns.
Budgets – Create and view your budgets in an automated fashion.
Exports – Automate data export configuration.
Usage details by Management Group – Use this API to analyze your organization’s usage across multiple subscriptions.

Alerts (in preview)

View and manage all your alerts in one single place with the new alerts preview feature. In the release you can view budget alerts, monetary commitment alerts, and department spending quota alerts. You can also view active and dismissed alerts.

Getting started

Get started now on this end-to-end cost management and optimization solution that enables you to get the most value for every cloud dollar spent. Please visit the Azure Cost Management documentation page for tutorial and details on getting started.

What’s coming next?

We will continue to iterate additional Cost Management features, so can enjoy a more unified user experience with features like ability to save and schedule reports, additional capabilities in cost analysis, budgets, alerts, and exports, as well as show backs in the coming months.

Partners will also soon be able to leverage the benefits of cost management with our support for the Cloud Solution Provider (CSP) program. With Azure Cost Management, Microsoft is committed to continuing the investment in supporting a multi-cloud environment including Azure and AWS. Public preview for AWS is currently targeted for Q2 of the current calendar year. We plan continue to enhance this with support for other clouds in the near future.

Are you ready for the best part? Azure Cost Management is available for free to all customers and partners to manage Azure costs.

The Cloudyn portal will continue to be available to customers while we integrate all relevant functionality into native Azure Cost Management.

Follow us on Twitter @AzureCostMgmt for exciting cost management updates.
Quelle: Azure