Azure Marketplace new offers – Volume 34

We continue to expand the Azure Marketplace ecosystem. From February 16 to February 28, 2019, 50 new offers successfully met the onboarding criteria and went live. See details of the new offers below:

Virtual machines

Analytics Zoo: A unified Analytics + AI platform: Analytics Zoo provides a unified analytics and AI platform that unites Spark, TensorFlow, Keras, and BigDL programs into an integrated pipeline. The pipeline can then transparently scale out to a large Hadoop/Spark cluster.

Blender 3D On Windows Server 2016: Studios around the world use Blender as their go-to 3-D software for remodeling, rendering, animation, video editing, compositing, texturing, and more. Apps4Rent helps you deploy Blender on Microsoft Azure.

 

CIS CentOS 7.5 Benchmark L1: This image of CentOS 7.5 is preconfigured by CIS to the recommendations in the associated CIS Benchmark. CIS Benchmarks are vendor-agnostic, consensus-based security configuration guides.

IBM DB2 Advanced Enterprise Server Edition 11.1: Install IBM DB2 Advanced Enterprise Server Edition in just a few minutes. IBM DB2 is ideal for development, test, and production infrastructure, and MidVision’s RapidDeploy is shipped for streamlined administration.

IBM DB2 Advanced Workgroup Server Edition 11.1: Install IBM DB2 Advanced Workgroup Server Edition in just a few minutes. IBM DB2 is ideal for development, test, and production infrastructure, and MidVision’s RapidDeploy is shipped for streamlined administration.

Kotlin Programming Language Windows Server 2012R2: Kotlin is flexible and interoperable with other platforms and native languages, offering code sharing between JVM and JavaScript platforms. It's also tool-friendly, as any Java IDE can be chosen.

Kotlin Programming Language Windows Server 2016: Kotlin is flexible and interoperable with other platforms and native languages, offering code sharing between JVM and JavaScript platforms. It's also tool-friendly, as any Java IDE can be chosen.

MayaNAS Cloud Enterprise: MayaNAS Cloud is a full-featured, enterprise-grade, software-defined storage solution that provides high-performance unified file and block services using cloud-native disks and object storage.

MayaScale Cloud Data Platform: MayaScale Cloud Data Platform offers high-performance shared storage using NVMe (non-volatile memory express) fabric over TCP and iSCSI protocols.

Qorus Integration Engine 4.0 on Oracle Linux 7: This agile and scalable platform for back-office IT business process automation serves as a low-cost and low-code enterprise integration solution.

Robotic Process Automation (RPA): Download and use the trial edition of Kryon Studio to experience how easy it can be to automate processes. This free trial is a useful tool for anyone looking to evaluate Kryon’s robotic process automation solutions.

XCFrontier – Virtualisation Services: XCFrontier is an innovative cloud virtualization solution for faster internet browsing that works with the Microsoft Office suite and other software applications.

Web applications

Azure Monitor Agent for Citrix Environments: Use the power of Azure Monitor and Log Analytics with this agent for your Citrix workers, servers and desktops. You don’t need an SQL server or additional infrastructure for monitoring data.

Azure Monitor for RDS and Windows Virtual Desktop: Monitor user experiences within Remote Desktop Services and Windows Virtual Desktop.

Check Point CheckMe: CheckMe runs simulations that test if your security technologies are equipped to mitigate advanced threats, and it provides a comprehensive report on your security state.

D3 Security: Rapidly validate threats with out-of-the-box security integrations and adaptable playbooks that guide your security operations platform to automated incident response.

Discovery Hub with Azure Data Lake: Deploy the Discovery Hub application server and Azure Data Lake. Discovery Hub is a high-performance data management platform that accelerates your time to data insights.

Forscene Edge – BYOL: The Forscene Edge is a professional two-way video transcoding engine for generating lightweight Blackbird video-editing proxies. The Blackbird proxy provides frame-accurate navigation and plays media and edits completely render-free.

Integris Data Privacy Automation: Use Integris to discover and classify sensitive data across any system, apply data-handling policies, assess risk, and take action.

Intel Optimized Data Science VM for Linux (Ubuntu): This preconfigured data science virtual machine comes with Python environments optimized for deep learning on Intel Xeon processors.

Jira Service Desk Data Center: By linking Jira Service Desk with Jira Software, IT and developer teams can collaborate on one platform to fix incidents faster and push changes with confidence.

SCOM Alert Management: SCOM Alert Management extends the capabilities of Microsoft Alert Management with automation of alert rules for the System Center Operations Manager group connected to the Log Analytics workspace.

Security for Microsoft 365: SoftwareONE's Security for Microsoft 365 is a managed security service helping customers improve the return on their Microsoft security investments. SoftwareONE security consultants will plan, set up, enhance, and maintain threat detection.

SIMBA Chain: SIMBA Chain's Blockchain-as-a-Service platform allows users to quickly deploy decentralized applications (dApps). These dApps allow secure, direct connections between users and providers, eliminating third parties.

Container solutions

Decent Blockchain Node: DCT is the platform cryptographic asset on the DCore blockchain that serves as the fundamental currency for publishing and purchasing. It also funds the miners and seeders who maintain the platform. This image contains the DCore node and CLI wallet.

Consulting services

Active Directory Assessment: 4-Week Assessm. (GB): This assessment by Dots. will review your Active Directory environment, architecture, DNS configuration, backup policy, and administrative procedures to provide audit findings and best-practice recommendations.

AD Connect: 1 Day Implementation: CDW will assist your organization in creating storage accounts in Microsoft Azure for use with an on-premises, cloud-enabled storage appliance, resulting in a hybrid cloud storage solution.

Airnet Azure Foundations: 2-day Implementation: Migrate to the cloud quickly and easily with an automated setup of your Azure environment using a scalable, standardized, and pre-architected framework from Airnet Group Inc.

Airnet Systems Assessment Tool: 1-day Assessment: Review tiered budgeting options for your move to Azure based on Airnet Group Inc.'s detailed reports of server core level inventory, cost, and performance data from your entire IT infrastructure.

App Modernization: 2 Hour Briefing: Oakwood Systems Group will review your business drivers, establish goals for modernization, discuss approaches, provide recommendations for Azure services, and help you develop a better understanding of the options available.

Application Modernization: 2 Week Assessment: RDA will work with your technical team to collect data about identified applications and then design, plan, and document key considerations for an application modernization effort using Azure.

Azure AD Single Sign-On (SSO): 2-Day Implementation: Mismo Systems LLP will configure Azure Active Directory Single Sign-On, enabling you to centrally manage users' access across Software-as-a-Service applications.

Azure Assessment: 1-Week Assessment: Tallan will work with your team to review your on-premises and cloud environments, cover best practices for deployment and app modernization, and provide documentation and recommendations.

Azure DevOps: 1 Hour Briefing: This comprehensive briefing by Oakwood Systems Group will help you develop a better understanding of how to implement Azure DevOps within your business, no matter how big your IT department or what tools you’re using.

Azure Disaster Recovery: 1-Day Workshop: You will walk away with a comprehensive understanding of Azure Backup and Azure Site Recovery. In many cases, a partial or complete implementation can be achieved in this workshop from InsITe Business Solutions.

Azure Migration 6-Wk Assessment & Implementation: TapLogic’s Azure Platform Migration Service gives service providers in the agricultural industry the tools and resources to develop a plan for adopting the best Microsoft Azure solution for their business needs.

Azure Site Recovery: 3-Day Implementation: CDW will install and configure Azure Site Recovery, establishing a Disaster Recovery-as-a-Service solution that allows you to replicate up to five of your virtual machines to Microsoft Azure.

Azure Storage for Backup: 1-Day Implementation: The Microsoft Azure Storage for Backup engagement by CDW will provide best practices and knowledge transfer in demonstrating and maximizing the benefits of utilizing Azure Storage.

CCG Customer Intelligence for Retail: In this engagement, CCG Analytics will implement Customer Intelligence, an analytics platform developed for mid-market retailers who want to elevate the customer experience and dominate the retail omnichannel.

Cloud Aware – Events: 5 Week Implementation: This implementation by Meylah Corporation involves Cloud Aware – Event in a Box, a collection of event planning resources to simplify the process of the customer acquisition.

Cloud Migration Assessment – 6 Days Assessment: Incremental Group’s Cloud Migration Assessment is carried out by one of our senior cloud engineers and will involve compiling a complete review and cloud migration proposal for your organization.

Connecting with S2S VPN: 1-Day Implementation: CDW will assist you in configuring Azure to allow connectivity between your Azure tenant resources and on-premises resources via a site-to-site VPN.

Data Compliance Monitoring – 1 Hour Briefing: Discover how you can automate your data compliance and governance strategy by leveraging Azure, Azure Cosmos DB, and Brilliant IG. Brilliant IG, by CTO Boost, is an automated compliance monitoring platform on Azure.

Data Science Discovery Pack: 2-wk Assessment: Elastacloud combines the delivery of a data architecture blueprint using the latest Azure platform tools and services with an innovative data science work package.

ERP to Azure Migration: 2 Week Implementation: DXC will provide a streamlined migration for organizations desiring to move their Dynamics GP, Dynamics SL, or Dynamics NAV solution to Azure Infrastructure-as-a-Service.

Optimized Architecture: 1-Day Workshop (Virtual): Compare Infrastructure-as-a-Service and Platform-as-a-Service hosting options to save money through the use of Azure App Service. This workshop by Dynamics Edge is intended for cloud architects and IT professionals.

QuickBooks DT on Azure single install: 4-hr imp: Get your existing QuickBooks desktop software running on your Azure cloud server, complete with integrated applications, in this implementation by Mendelson Consulting.

TCO & Cloud Readiness Assessment – 6 Wk Assessment: Ensono's assessment will involve data gathering, creation of an HCP tenant, ingestion of the initial server list, data tagging, application readiness scoring, and a presentation of the findings.

TFS to Azure DevOps Migration: 2-Wk Implementation: Tallan will work with your team to create an Azure DevOps migration plan to be developed during the assessment portion of this implementation. From there, we will start the migration process to Azure DevOps.

TFS to Azure DevOps: 4-week Implementation: Oakwood Systems Group's three-phase migration plan will move your on-premises Team Foundation Server (TFS) to Azure DevOps Services.

Quelle: Azure

Announcing the public preview of Data Discovery & Classification for Azure SQL Data Warehouse

Today we’re announcing the public preview of Data Discovery & Classification for Azure SQL Data Warehouse, an additional capability for managing security for sensitive data. Azure SQL Data Warehouse is a fast, flexible, and secure cloud data warehouse tuned for running complex queries fast and across petabytes of data.

While it’s critical to protect the privacy of your customers and other sensitive data, it becomes unmanageable to discover, classify, and protect such sensitive data as your businesses and data assets are growing rapidly. The Data Discovery & Classification feature that we’re introducing natively with Azure SQL Data Warehouse helps alleviate this pain-point. The overall benefits of this capability are:

Meeting data privacy standards and regulatory compliance requirements such as General Data Protection Regulation (GDPR).
Restricting access to and hardening the security of data warehouses containing highly sensitive data.
Monitoring and alerting on anomalous access to sensitive data.
Visualization of sensitive data in a central dashboard on the Azure portal.

What is Data Discovery & Classification?

Data Discovery & Classification introduces a set of advanced capabilities aimed at protecting data and not just the data warehouse itself.

Auto-discovery and recommendations – Underlying classification engine automatically scans your data warehouse and identifies columns containing potentially sensitive data. It also provides you an easy way to review and apply appropriate classification recommendations through the Azure portal.
Classification/Labeling – Sensitivity classification labels tagged on the columns can be persisted in the data warehouse itself.
Reporting – Data classification can be centrally viewed on a dashboard in the Azure portal. In addition, you can download a report in Microsoft Excel format for compliance and auditing purposes.
Monitoring/Auditing – Auditing has been enhanced to log sensitivity classifications or labels of the actual data that were returned by the query. This would enable you to gain insights on who is accessing sensitive data.

How does Data Discovery & Classification work?

The Data Discovery & Classification capability have built-in automated classification engines that identify columns containing potentially sensitive data and provides a list of recommendations for you to choose from. This data can be persisted as sensitivity metadata on top of the columns directly in the data warehouse. You can manually classify and label your columns. You can also define custom labels and information types in addition to those generated by the system.

You can also use T-SQL to add, remove, and retrieve column classifications across all tables in your data warehouse:

Add/update the classification of one or more columns, add sensitivity classification
Remove the classification from one or more columns, drop sensitivity classification
View all classifications on the database, sys.sensitivity classifications

Additionally, Azure SQL Data Warehouse engine utilizes the column classifications to determine the sensitivity of query results. Combined with Azure SQL Data Warehouse Auditing, this enables you to audit the sensitivity of the actual data being returned by queries.

This capability is now available in all Azure regions as part of Advanced Data Security and including Vulnerability Assessment and Threat Detection. For more information on Data Discovery & Classification in Azure SQL Data Warehouse, refer to our online documentation “Azure SQL Database Data Discovery & Classification.”

Azure SQL Data Warehouse continues to lead in the areas of security, compliance, privacy, and auditing. Check out our latest videos on Azure SQL Data Warehouse security related topics:

Monitoring Access for threats and Securing Data
Virtual Networks and Security Roadmap

Next steps

For more information about Azure SQL Data Warehouse security capabilities, refer to the “Guide to enhancing privacy and addressing GDPR requirements with the Microsoft SQL platform” from the Microsoft Trust Center, or our online documentation.
To get started today, create an Azure SQL Data Warehouse.
To stay up-to-date on the latest Azure SQL Data Warehouse news and features, follow us on Twitter @AzureSQLDW.
For feature requests, please vote on our UserVoice.

Quelle: Azure

Operator Hub Operator Round Up

In the few short weeks since Operator Hub launched, there have been many additions to the site’s trove of Kubernetes Operators. They offer services for your Kubernetes cluster ranging from etcd and CockroachDB, to Jaeger Tracing and Dynatrace. Until now, the Operators have trickled in slowly, adding to the modest repository already there. We wanted […]
The post Operator Hub Operator Round Up appeared first on Red Hat OpenShift Blog.
Quelle: OpenShift

Get an official service issue root cause analysis with Azure Service Health

After you experience a Microsoft Azure service issue, you likely need to explain what happened to your customers, management, and other stakeholders. That’s why Azure Service Health provides official incident reports and root cause analyses (RCAs) from Microsoft.

Azure Service Health helps you stay informed and take action when Azure service issues like incidents and planned maintenance affect you by providing a personalized health dashboard, customizable alerts, and expert guidance. In this blog, we’ll cover how you can use Azure Service Health’s health history to review past health issues and get official root cause analyses (RCAs) to share with your internal and external stakeholders.

Review past health issues and get official root cause analyses (RCAs)

You can see 90 days of history about past incidents, maintenance, and health advisories in Azure Service Health’s “Health history” section. This is a tailored view of the Azure Activity Log provided by Azure Monitor.

If you experienced downtime, your internal or external stakeholders might expect an official report or RCA. As soon as they become available, RCAs can be found under any incident. Meanwhile, you can download and share Microsoft’s issue summary as a PDF.

Learn more about getting downloadable explanations in the Service Health documentation.

Get started with Azure Service Health

Azure Service Health provides a large amount of information about incidents, planned maintenance, and other health advisories that could affect you. While you can always visit the dashboard in the portal, the best way to stay informed and take action is to set up Azure Service Health alerts. With alerts, as soon as we publish any health-related information, you’ll get notified on whichever channels you prefer, including email, SMS, push notification, webhook into ServiceNow, and more. We’ll also notify you when we publish RCAs.

Next steps

Review your Azure Service Health dashboard and set up alerts in the Azure portal. If you need help getting started visit the Azure Service Health documentation. We always welcome feedback. Submit your ideas at Azure Service Health feedback forum or email us with any questions and comments at servicehealth@microsoft.com.
Quelle: Azure

How fuboTV built a cloud-native streaming platform with GCP

Twenty years ago, if you would’ve told me that I’d watch my favorite soccer team (Manchester United) on a mobile phone from the comfort of my backyard, in a taxi or at the airport, I probably would’ve laughed and brushed the notion off as science fiction. It wasn’t that long ago when watching a sporting event was confined to either the stadium or sitting in the family room in front of a television.Now, of course, viewers can tune into games, news, television shows, movies and more—not only on their mobile phones, but across practically every connected screen. Our expectations have changed to the point that buffering, slow load times and pixelated images simply won’t be tolerated. Providers like fuboTV, a streaming service that offers live and video-on demand (VOD) content to around 250,000 monthly subscribers in the U.S., know this better than anyone.Initially launching with live sports content in 2015, fuboTV expanded to stream television shows, movies, news and more in 2017, and today is a complete cable TV replacement product for the entire family. As it broadened its offerings, fuboTV needed a partner that could ensure subscribers enjoyed an optimal streaming experience while also being well-positioned for continued future growth. fuboTV chose Google Cloud to build out its OTT platform—a platform that now comprises 100+ national live television channels, over 560 local channels and thousands of on-demand titles.For the past two years, fuboTV’s streaming video distribution supply chain has sat within Google Cloud Platform (GCP). Cloud Storage ingests and stores video assets, with flexible storage solutions for varying video workflows, and Compute Engine supports video processing. To ensure subscribers have the best possible viewing experience, fuboTV leverages Google Cloud’s Stackdriver, which can diagnose problems with real-time access logs and can gauge incoming traffic flows.Having insights into how viewers consume content is essential, too, helping to influence critical business decisions, such as what promotions to run, what content to suggest and even what region to enter next (hint: it was Spain). Using BigQuery, fuboTV can gain insights into viewership and video downtime, to scale up with viewer spikes and ramp down for cost savings. Additionally, BigQuery effortlessly integrates into fuboTV’s proprietary visualization dashboard that also includes fuboTV’s own customized streaming metrics, ultimately providing a holistic view of the entire streaming ecosystem.After ingesting video into GCP, fuboTV also relies on the open-source flexibility of Google Kubernetes Engine to operate seamlessly with high availability and scale as demand fluctuates to get their content in the hands of customers, fast.Geir Magnusson Jr., CTO at fuboTV, recently shared, “Google Cloud has helped us build a stable, cloud-native streaming service from the ground up, in less than two years. This team has truly understood our needs as a startup to work nimbly, swiftly and cost-efficiently. As we continue to reach new viewers around the world and evolve our service to anticipate their demands, we know can depend on Google Cloud to help us have a solid, state-of-the-art offering.”While working with us, fuboTV launched a 4K HDR feature in beta and experienced 100 percent growth YoY. We look forward to helping fuboTV scale with new content, add new features to its platform and expand its business in the months and years to come. Learn more about how we collaborate with content providers for better viewing experiences on our website.
Quelle: Google Cloud Platform

6 standout serverless sessions at Google Cloud Next ‘19

Serverless is changing the way apps are developed in the cloud; by not worrying about underlying infrastructure, you can build quickly and focus on what’s important to your app and business. Serverless has grown from just compute, expanding to databases, machine learning and more, and this rapid growth is reflected in our Google Cloud Next ‘19 sessions this year. Two years ago, we hosted just three serverless sessions. This year we have an entire serverless track with more than thirty sessions!To help you navigate the huge list of sessions, here are 6 “standout” serverless sessions from this year’s Next:1. Serverless on Google Cloud (Spotlight)Join this spotlight session and hear us talk about Google’s vision, new product developments and customer success stories. Learn how App Engine, Cloud Functions, serverless containers, Knative and other serverless offerings let you build applications that automatically scale from zero to infinity—without having to worry about managing the underlying infrastructure.2. What’s New in Serverless Compute?Join us for a look at all the new serverless compute announcements this year, as well as see a sneak peek of what we’ll be working on down the road.3. Where Should I Run My Code? Choosing From 5+ Compute OptionsFrom virtual machines to Kubernetes to serverless, there are many ways to run your code in Google Cloud today. Come learn how to navigate the trade-offs and different compute models used by open-source tools like Knative and Kubernetes, as well as GCP services such as App Engine, Cloud Functions, Compute Engine and more.4. Serverless Agility for Containerized AppsLearn about how Google Cloud is enabling you to run stateless containers on a fully managed environment or in your own GKE cluster. See demos and hear from customers about how serverless makes their developers more productive.5. Knative a Year Later: Serverless, Kubernetes and YouKnative, which provides the open-source technology for a serverless developer experience on Kubernetes, has seen remarkable growth and uptake since launching in 2018. Join us to hear what’s new and what’s happened since launch.6. Run Containers on GCP’s Serverless InfrastructureDive into GCP’s new fully managed serverless platform that lets you run arbitrary HTTP stateless containers while only paying for what you use and without worrying about the infrastructure. See demos of new use cases unlocked by running containers in a serverless way and hear from customers who already use it.Those are just the highlights, but there is a ton more content to check out, including: building serverless APIs, serverless security, DevOps for serverless, combining serverless and G Suite, building end-to-end serverless systems and using Cloud Tasks.See the full agenda here. Don’t forget to register because seats are limited; we hope to see you at Google Cloud Next ‘19!
Quelle: Google Cloud Platform

Simplify reporting with the Sheets data connector for BigQuery, and voila: automated content updates for G Suite

Annual and quarterly reports are a standard part of business for many enterprises. But automation can help eliminate the repetition inherent in these periodic obligations. If you find yourself needing to analyze and present findings from large sets of stored data, you can conveniently use BigQuery, Sheets, and Apps Script—all in a single workflow—to generate recurring content in seconds. Most notably, the Sheets data connector for BigQuery provides you with an interactive UI in Sheets that pulls data straight from BigQuery using standard SQL.To see an example of this solution in action, let’s pretend you’re an art history professor who needs to generate slide decks for a semester’s worth of classes. The Met Public Domain Art Works public dataset in BigQuery has all the images and metadata you need to create lessons that will highlight a different artist each week.For example, take a look at a recent lesson on Paul Cézanne:Templatizing the slide deckEach of the slide decks you’ll make for class are quite similar. They start with a title slide with the artist’s name and other biographical information. Following the title slide, you’ll see several slides that include an image, date, and title of a piece of art. You can easily turn this structure into a template deck that includes tags for each of these fields. Similar to mail merge, you can use these tags as placeholders for populating the source data.Accessing the dataIn order to pull this data from The Met Public Domain Art Works, you’ll want to use the Sheets data connector for BigQuery. Using the data connector requires a G Suite Business, Enterprise, or Education account and a BigQuery account and project.Each of today’s lessons focuses on one artist and one medium. With the data connector, you can query datasets from BigQuery using a web UI and visualize the results, all without ever leaving your spreadsheet.. Here’s what your example query should look like in the editor:You’ll notice some parameters within the query, such as @ARTIST_NAME, @MEDIUM, and @COUNT. By using parameters, you can easily swap in new artists, mediums, and number of works and run the query without updating any SQL!You’ll want to use a new sheet within the same spreadsheet to store your parameters. In this sheet, you’ll designate specific cells for your artist of choice, medium, and number of slides.Once your configuration sheet is set up, you should set your parameters to point directly to these cell references in the query editor.Now you can select any combination of artist, medium, and slide count in your configuration sheet, and hit the ‘Refresh’ button in the data sheet to perform the query.Tying it all together with Apps ScriptOnce you hit refresh, you’ll see the query results with the images and data you need for your weekly lesson. No need for a late Sunday evening, professor! In order to create your final presentation, you’ll need a bit of Apps Script to merge this data with a copy of the template slides. The less than 100 lines of Apps Script performs four main functions:Copies the template slide deck and renames itAdjusts the number of art slides for your imagesInserts the metadata, including work title and date, into your art slidesInserts the images into your art slidesFinally, you’ll add a final step to your configuration sheet which includes a “Generate” button, which begins execution of the script.If you navigate to your Google Drive home screen, you’ll see your newly minted slide deck on the Recents menu. In five simple steps, you’ve created a deck in a matter of seconds! Of course you need not be an art history professor to put this workflow to use. This process can help you build quarterly reports, or gather metrics at the drop of a hat for a senior stakeholder. Whatever your industry, when a senior manager asks for some numbers “stat!” or “pronto!” you’ll know how to deliver. Try out the Sheets data connector today.
Quelle: Google Cloud Platform