Der Staat will dort 5G aufbauen, wo es sich für Konzerne nicht lohnt. Mit Steuergeldern sollen nach Ansicht der Fraktion die Linke die Funklöcher gestopft werden, mit denen die Mobilfunkbetreiber nicht genug Geld verdienen können. (Mobilfunk, Telekom)
Quelle: Golem
This is a guest post written by Gou Rao, CTO and Co-Founder of Portworx, leading the company’s technology, market, and solution execution strategy. Previously Gou was the CTO of Data Protection at Dell, in charge of the technical direction, strategy and architecture. Portworx is a cloud native storage platform to run persistent workloads deployed on […]
The post Deploying HA PostgreSQL on OpenShift using Portworx appeared first on Red Hat OpenShift Blog.
Quelle: OpenShift
In Kooperation mit einem Lieferdienst bringt Epson neue Tintenpatronen bis vor die Haustür, wenn eine Farbe ausgeht. Der Dienst erfordert kein Abo, umfasst aber ausschließlich die meist teureren Originalpatronen. (Epson, Drucker)
Quelle: Golem
In der SSH-Software Putty sind im Rahmen eines von der EU finanzierten Bug-Bounty-Programms mehrere schwerwiegende Sicherheitslücken entdeckt worden. Der verwundbare Code wird auch von anderen Projekten wie Filezilla und WinSCP verwendet. (Putty, Server)
Quelle: Golem
The gaming industry is entering a period of tremendous growth.There are more than two billion players across the world, from competitive gamers to casual enthusiasts, and they enjoy games across a variety of platforms. Whether it’s mobile, console, PC, AR or VR—anyone can play, from anywhere, on any device. But they are not playing alone. Advances in global connectivity have powered the rise of real-time multiplayer games that offer shared experiences to players from all over the world.As a result, these global smash hits are more than just games—increasingly they are becoming platforms themselves, with complex game economies and growing live viewing and esports communities.For game developers of all sizes, these trends have incredible implications for the underlying cloud infrastructure powering their games. To operate a global game, it’s critical to have reliable, scalable infrastructure. Game services, such as matchmaking, need to be flexible enough to support cross platform gaming. And finally, data, analytics, and machine learning are essential tools for optimizing player engagement, segmentation and monetization, especially with the prevalence of free-to-play models.Google Cloud is already powering many of the world’s top AAA and mobile games and developers, helping build better player experiences. Our infrastructure has 18 regions and a presence in over 200 countries and territories, connected by our private fiber optic network, to ensure that game servers and players are as close to each other as possible. If your game requires working with bare metal or multi-cloud deployments, we provide that flexibility as well. Through Kubernetes, we empower you to simply run your backend services wherever it makes sense, and open source Kubernetes services like Agones—co-founded with Ubisoft—helping to make hosting and scaling dedicated game servers easy and flexible. To make it even easier for developers to take advantage of Agones, we’ve now made it available in the Cloud Marketplace, which makes installation and management available in just a few clicks.We want to give game developers the freedom to build without being constrained by inflexible off-the-shelf solutions that put constraints on their vision—and that starts with building a stronger open source community for games. Open Match, our open source matchmaking framework co-founded with Unity, lets developers re-use their matchmakers instead of building them from scratch for every game. It’s designed for flexibility, allowing you to bring your own match logic, so you can build your game your way, across all platforms. Open Match was used to help create Google’s first multiplayer Doodle, which scaled to a peak of 500,000 concurrent players.Finally, Google Cloud’s leading analytics and machine learning capabilities can help developers store, manage, and analyze the petabytes of data generated by hit games, and generate insights and predictions that can help grow your game. King, makers of the Candy Crush Saga, transitioned their data warehouse from Hadoop to leverage the scalability, flexibility and reliability of BigQuery in 2018, and created hundreds of virtual players, trained using our Cloud Machine Learning Engine (CMLE), to quickly gather insights that were used to optimize the game design.If you’re attending GDC March 18-22 at San Francisco’s Moscone Center, please stop by our booth and say hello. Don’t miss our Cloud Developer Day on Wednesday, March 20 or our ongoing booth sessions at the conference to hear from Google Cloud experts as well as companies we collaborate with like DeNA, FACEIT, Improbable, Multiplay, Pocket Gems, Square Enix, SuperSolid, Ubisoft, Unity and others. They’ll share how they’re using Google Cloud to make great games. Can’t make it? No worries. Our sessions will also be live streamed and recorded, viewable here. If you attend GDC, you’ll also hear from other Google teams such as Google Play, Google Maps Platform, Assistant, and Android on how we’re working with developers to create great games, connect with players, and scale their business.Let’s take your game to the next level, together.
Quelle: Google Cloud Platform
Rice is an ideal candidate for study in genomics, not only because it’s one of the world’s most important food crops, but also because centuries of agricultural cross-breeding have created unique, geographically-induced differences. With the potential for global population growth and climate change to impact crop yields, the study of this genome has important social considerations.This post explores how to identify and analyze different rice genome mutations with a tool calledDeepVariant. To do this, we performed a re-analysis of the Rice 3K dataset and have made the data publicly available as part of the Google Cloud Public Dataset Program pre-publication and under the terms of the Toronto Statement.We aim to show how AI can improve food security by accelerating genetic enhancement to increase rice crop yield. According to the Food and Agriculture Organization of the United Nations, crop improvements will reduce the negative impact of climate change and loss of arable land on rice yields, as well as support an estimated 25% increase in rice demand by 2030.Why catalog genetic variation for rice on Google Cloud?In March 2018, Google AI showed that deep convolutional neural networks can identify genetic variation in aligned DNA sequence data. This approach, called DeepVariant, outperforms existing methods on human data, and we showed that the approach to call variants on a human can be used to call variants on other animal species. This blog post demonstrates that DeepVariant is also effective at calling variants on a plant, thus demonstrating the effectiveness of deep neural network transfer learning in genomics.In April 2018, three research institutions—the Chinese Academy of Agricultural Sciences (CAAS), the Beijing Genomics Institute (BGI) Shenzhen, and the International Rice Research Institute (IRRI)—published the results of a collaboration to sequence and characterize the genomic variation of the Rice 3K dataset, which consists of genomes from 3,024 varieties of rice from 89 countries. Variant calls used in this publication were identified against a Nipponbare reference genome using best practices and are available from the SNP-Seek database (Mansueto et al, 2017).We recharacterized the genomic variation of the Rice 3K dataset with DeepVariant. Preliminary results indicate a larger number of variants discovered at a similar or lower error rate than those detected by conventional best practice, i.e. GATK.In total the Rice3K DeepVariant datasetcontains ~12 billion variants at ~74 million genomic locations (SNPs and Indels). These are available in a 1.5 terabyte (TB) table that uses the BigQuery Variants Schema.Even at this size, you can still run interactive analyses, thanks to the scalable design of BigQuery. The queries we present below run on the order of a few seconds to a few minutes. Speed matters, because genomic data are often being interlinked with data generated by other precision agriculture technologies.Illustrative queries and analysesBelow, we present some example queries and visualizations of how to query and analyze the Rice 3K dataset. Our analyses focus on two topics:The distribution of genome variant positions, across 3024 rice varieties.The distribution of allele frequencies across the rice genome.For a step-by-step tutorial on how to work with variant data in BigQuery using the Rice 3K data or another variant dataset of your choosing, consider trying out the Analyzing variants with BigQuery codelab.Analysis 1: Genetic variants are not uniformly distributedGenomic locations with very high or very low levels of variation can indicate regions of the genome that are under unusually high or low selective pressure.In the case of these rice varieties, high selective pressure (which corresponds to low genetic variation) indicates regions of the genome under high artificial selective pressure (i.e. domestication). Moreover, these regions contain genes responsible for traits that regulate important cultivational or nutritional properties of the plant.We can measure the magnitude of the regional pressure by calculating at each position the Z statistic of each individual variety vs. all varieties. Here’s the query we used to produce the heatmap below, which shows the distribution of genetic variation across all 1Mbase-sized regions across all 12 chromosomes as columns (labeled by the top colored row), vs. all 3024 rice varieties as rows. Red indicates very low variant density relative to other samples within a particular genomic region, while pale yellow indicates very high variant density within a particular genomic region. The dendrogram below shows the similarity among samples (branch length) and groups similar rice varieties together:A high resolution PDF of this plot is available, as well as the R script used to generate it.Some interesting details of the dataset are highlighted (in yellow) in the heatmap above:Closer inspection of chromosome 5 (cyan columns, 1Mbase blocks 9-12) shows that the distinct distribution of Z scores across samples likely occurs due to two factors:this region includes many centromeric satellites resulting in a high false-positive rate of variants detected, anda genomic introgression present in some of the rice varieties multiplies this effect (yellow rows).Nearly all of the 3024 rice varieties included in the Rice 3K dataset are from rice species Oryza sativa. However, 5 Oryza glaberrima varieties were also included. These have a high level of detected genetic variation because they are from a different species, and are revealed as a bright yellow band at the top of the heatmap.The majority of samples can be partitioned into one group with high variant density and another group with low variant density. This partition fits with previously used methods for classification by admixture. For example, the bottom rows that are mostly red correspond to rice varieties in the japonica and circum-basmati (aromatic) groups that are similar to the Nipponbare reference genome we used.Analysis 2: Some specific regions are under selective pressureAccording to the Hardy-Weinberg Principle, the expected proportion of genotype frequencies within a randomly mating population, in the absence of selective evolutionary pressure, can be calculated from the component allele frequencies. For a bi-allelic position having alleles P and Q and corresponding population frequencies p and q, the expected genotype proportions for PP, PQ, and QQ can be calculated with the formula p2 + 2pq + q2 = 1. However we need to modify this formula by adding an inbreeding coefficient F to reflect the population structure (see: Wahlund effect) and the self-pollination tendency of rice: PP=p2+Fpq ; PQ=2(1-F)pq ; QQ=q2+Fpq where F=0.95.The significance of genomic positions deviating from the expected genotype distribution follows χ2 , allowing a p-value to be derived and thus identification of positions that are either under significant selective pressure or neutral. In short, this analysis, highlights the fact that rice is highly inbred.Below you can find a plot of 10-kilobase genome regions from the Oryza sativa genome, colored according to the proportion of variant positions that are significantly (p<0.05) out of (inbreeding modified) Hardy-Weinberg equilibrium, with white regions corresponding to those under low selective pressure and red regions corresponding to those under high selective pressure:The data shown above were retrieved using this query and plotted using this R script. The query used to make this figure was adapted to the BigQuery Variants Schema from one of a number of quality control metrics found in the Google Genomics Cookbook.Note that selective pressure on the genome is not uniformly distributed, indicated by the clumps of red visible in the plot. Interestingly, there is little correspondence between the prevalence of variants within a region (previous figure) and the proportion of variants within that same region that are under significant selective pressure. The bin size (10 kilobases) used in this visualization is on the order of the average Oryza sativa gene size (3 kilobases) and, given the low correlation between high selective pressure and variant density, it may be useful to guide a gene hunting expedition aimed at identifying genomic loci associated with phenotypes of interest (i.e. those that affect caloric areal yield, nutritive value, and drought- and pest-resistance).Data availability and conclusionGenome sequencer reads in FastQ format from Sequence Read Archive Project PRJEB6180, were aligned to the Oryza sativa Os-Nipponbare-Reference-IRGSP-1.0 reference genome using the Burrow-Wheeler Aligner (BWA), producing a set of aligned read files in BAM format.Subsequently, the BAM files were processed with the Cloud DeepVariant Pipeline, a Cloud TPU-enabled, managed service that executes the DeepVariant open-source software. The pipeline produced a list of variants detected in the aligned reads, and these variants were written out to storage as a set of variant call files in VCF format.Finally, all VCF files were processed with the Variant Transforms Cloud Dataflow Pipeline, which wrote records to a BigQuery Public Dataset table in the BigQuery Variants Schema format.For additional guidance on how to use DeepVariant and BigQuery to analyze your own data on Google Cloud, please check out the following resources:Variant Calling on a Rice Genome with DeepVariantAnalyzing variants with BigQueryThe Google Genomics CookbookDeepVariant on GitHubAcknowledgmentsWe’d like to thank our collaborators and their organizations—both within and outside Google—for making this post possible:Allen Day, Google CloudRyan Poplin, Google AIKen McNally, IRRIDmytro Chebotarov, IRRIRamil Mauleon, IRRI
Quelle: Google Cloud Platform
How do you back up your SQL Servers today? You could be using backup software that require you to manage backup servers, agents, and storage, or you could be writing elaborate custom scripts which need you to manage the backups on each server individually. With the modernization of IT infrastructure and the world rapidly moving to the cloud, do you want to continue using the legacy backup methods that are tedious, infrastructure-heavy, and difficult to scale? Azure Backup for SQL Server Virtual Machines (VMs) is the modern way of doing backup in cloud, and we are excited to announce that it is now generally available! It is an enterprise scale, zero-infrastructure solution that eliminates the need to deploy and manage backup infrastructure while providing a simple and consistent experience to centrally manage and monitor the backups on standalone SQL instances and Always On Availability Groups.
Built into Azure, the solution combines the core cloud promises of simplicity, scalability, security and cost effectiveness with inherent SQL backup capabilities that are leveraged by using native APIs, to yield high fidelity backups and restores. The key value propositions of this solution are:
15-minute Recovery Point Objective (RPO): Working with uber critical data and have a low RPO? Schedule a log backup to happen every 15 minutes.
One-click, point-in-time restores: Tired of elaborate manual restore procedures? Restore databases to a point in time up to a second in one click, without having to manually apply a chain of logs over differential and full backups.
Long-term retention: Rigorous compliance and audit needs? Retain your backups for years, based on the retention duration, beyond which the recovery points will be pruned automatically by the built-in lifecycle management capability.
Protection for encrypted databases: Concerned about security of your data and backups? Back-up SQL encrypted databases and secure backups with built-in encryption at rest while controlling backup and restore operations with Role-Based Access Control.
Auto-protection: Dealing with a dynamic environment where new databases get added frequently? Auto-protect your server to automatically detect and protect the newly added databases.
Central management and monitoring: Losing too much time managing and monitoring backups for each server in isolation? Scale smartly by creating centrally managed backup policies that can be applied across databases. Monitor jobs and get alerts and emails across servers and even vaults from a single pane of glass.
Cost effective: No infrastructure and no overhead of managing the scale, seems like value for the money already? Enjoy reduced total cost of ownership and flexible pay-as-you-go option.
Get started
Customer feedback
We have been in preview for a few months now, and have seen an overwhelming response from our customers:
“Our experience with Azure SQL Server Backup has been fantastic. It’s a solution you can put in place in a couple of minutes and not have to worry about it. To restore DBs, we don’t have to deal with rolling logs and only have to choose a date and time. It gives us great peace of mind to know the data is safely stored in the Recovery Services Vaults with our other protected items.”
– Steven Hayes, Principal Architect, Acuity Brands Lighting, Inc
“We have been using Azure Backup for SQL Server for the past few months and have found it simple to use and easy to set up. The backup and restore operations are performant and reliable as well as easy to monitor. We plan to continue using it in the future."
– Celica E. Candido, Cloud Operations Analyst, Willis Towers Watson
Additional resources
Check out the public preview announcement on the Azure blog, “Azure Backup for SQL Server on Azure now in public preview.”
See different SQL backup options from Microsoft and choose the right solution based on your requirements.
Want more details about this feature? Check out Azure Backup for SQL Server documentation.
Get the pricing details for this feature.
Need help? Reach out to Azure Backup forum for support or browse Azure Backup documentation.
Tell us how we can improve Azure Backup by contributing new ideas and voting up existing ones.
New to Azure Backup, sign up for an Azure trial subscription.
Quelle: Azure
Die aus den USA gesteuerte Debatte um Huawei, hohe Erwartungen sowie Auflagen an das 5G-Netz machen die gesamte Frequenzauktion dem Bitkom-Präsidenten zufolge unsicher. Die Rolle von United Internet bleibt laut ZEW dabei unklar. (5G, Mobilfunk)
Quelle: Golem
Um sicher zu surfen, öffnet das Plugin Windows Defender Application Guard unbekannte Webseiten in einem abgeschotteten Container. Die Software gibt es jetzt auch für Google Chrome und Mozilla Firefox es gibt aber Einschränkungen. (Virtualisierung, Firefox)
Quelle: Golem
Now in preview
AzCopy support in Azure Storage Explorer now available in public preview
AzCopy in Azure Storage Explorer is now in public preview. AzCopy is a popular command-line utility that provides performant data transfer into and out of a storage account. AzCopy enhances the performance and reliability through a scalable design, where concurrency is scaled up according to the number of machine’s logical cores. Azure Storage Explorer provides the UI interface for various storage tasks, and now it supports using AzCopy as a transfer engine to provide the highest throughput for transferring your files for Azure Storage. This capability is available today as a preview in Azure Storage Explorer.
Now available for preview: Workload importance for Azure SQL Data Warehouse
Announcing the preview of Workload Importance for Azure SQL Data Warehouse on the Gen2 platform. Manage resources more efficiently with Azure SQL Data Warehouse – a fast, flexible and secure analytics platform for enterprises of all sizes. Workload importance gives data engineers the ability to use importance to classify requests. Requests with higher importance are guaranteed quicker access to resources which helps meet SLAs.
Also available in preview
Public preview: Azure Log Analytics in France Central, Korea Central, North Europe
Public preview: Adaptive network hardening in Azure Security Center
Update 19.03 for Azure Sphere public preview now available for evaluation
Azure Security Center: Regulatory compliance dashboard in public preview
News and updates
Achieve more with Microsoft Game Stack
Announcing Microsoft Game Stack, a new initiative in which we commit to bringing together Microsoft tools and services that empower game developers to achieve more. Game Stack brings together all of our game-development platforms, tools, and services—such as Azure, PlayFab, DirectX, Visual Studio, Xbox Live, App Center, and Havok—into a robust ecosystem that any game developer can use. The goal of Game Stack is to help you easily discover the tools and services you need to create and operate your game.
Azure Databricks – VNet injection, DevOps Version Control and Delta availability
Azure Databricks provides a fast, easy, and collaborative Apache® Spark™-based analytics platform to accelerate and simplify the process of building big data and AI solutions that drive the business forward, all backed by industry-leading SLAs. With Azure Databricks, you can set up your Spark environment in minutes and auto-scale quickly and easily. You can also apply your existing skills and collaborate on shared projects in an interactive workspace with support for Python, Scala, R, and SQL, as well as data science frameworks and libraries like TensorFlow and PyTorch.
Hardware innovation for data growth challenges at cloud-scale
The Open Compute Project (OCP) Global Summit 2019 kicked off on March 14 where a vibrant and growing community shared the latest in innovation to make hardware more efficient, flexible, and scalable. This year we turned our attention to the exploding volume of data being created daily. Data is at the heart of digital transformation and companies are leveraging data to improve customer experiences, open new markets, make employees and processes more productive, and create new sources of competitive advantage as they work toward the future of tomorrow.
Azure Data Box family now enables import to Managed Disks
Announcing support for managed disks is now available across the Azure Data Box family of devices, which includes Data Box, Data Box Disk, and Data Box Heavy. The Azure Data Box offline family lets you transfer hundreds of terabytes of data to Microsoft Azure in a quick, inexpensive, and reliable manner. With managed disks support on Data Box, you can now move your on-premises virtual hard disks (VHDs) as managed disks in Azure with one simple step.
Simplify disaster recovery with Managed Disks for VMware and physical servers
Azure Site Recovery (ASR) now supports disaster recovery of VMware virtual machines and physical servers by directly replicating to Managed Disks. To enable replication for a machine, you no longer need to create storage accounts because you can now write replication data directly to a type of Managed Disk. This change will not impact the machines which are already in a protected state; however, all new protections will now have this capability available on the Azure portal.
Simplifying your environment setup while meeting compliance needs with built-in Azure Blueprints
Announcing the release of our first Azure Blueprint built specifically for a compliance standard, the ISO 27001 Shared Services blueprint sample, which maps a set of foundational Azure infrastructure such as virtual networks and policies, to specific ISO controls. Azure Blueprints is a free service that helps customers deploy and update cloud environments in a repeatable manner using composable artifacts such as policies, deployment templates, and role-based access controls. This service is built to help customers set up governed Azure environments and can scale to support production implementations for large-scale migrations. The ISO 27001 Shared Services Blueprint is already available to your Azure tenant.
Microsoft Azure portal March 2019 update
This month’s updates include an improved “All services” view, Virtual Network Gateway overview updates, an improved DNS Zone and Load Balancer creation experience, Management Group integration into Activity Log, redesigned overview screens for certain services within Azure DB, an improved creation experience for Azure SQL Database, multiple changes to the Security Center, and more updates to Intune. Sign in to the Azure portal now and see for yourself everything that’s new.
Approve Azure Pipelines deployments from Slack
Approve Azure Pipelines deployments from Slack is now available. We’re making it even easier for you, with a tighter integration that lets you be more productive – even when you’re on the go. Approving release deployments in Azure Pipelines is just a click away.
Azure Service Fabric 6.4 Refresh Release
Updates to the .NET SDK, Java SDK and Service Fabric runtimes are rolling out through Web Platform Installer, NuGet packages and Maven repositories in all regions.
Azure Security Center updates
Support for virtual network peering in Azure Security Center
Azure Security Center adaptive application control updates
Azure Security Center: Secure score impact changes
Azure Security Center policy migration to Azure Policy
Azure Security Center update: Secure score for compliance metrics
Azure Security Center update: Azure App Service recommendation improvements
Additional news and updates
Azure Log Analytics is now General Available in Australia East and in Australia Central
Service Map available in Central Canada and UK South
Application Insights is now available in France Central and Korea Central
Upcoming change to Azure Monitor Application Insights Smart Detection emails
Azure Resource Manager template language additions
Technical content
Run your code and leave build to us
Getting your app to the cloud is more work than you may anticipate. We're happy to share that there is a faster way. When you need to focus on app code, you can delegate build and deployment to Azure with App Service web apps and we'll take care of building and running your code the way you expect.
Stay informed about service issues with Azure Service Health
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. Read how you can use Azure Service Health’s personalized dashboard to stay informed about issues that could affect you now or in the future.
Azure Stack IaaS – part four
Deploying your IaaS VM-based applications to Azure and Azure Stack requires a comprehensive evaluation of your BC/DR strategy. “Business as usual” is not enough in the context of cloud. For Azure Stack, you need to evaluate the resiliency, availability, and recoverability requirements of the applications separate from the protection schemes for the underlying infrastructure. Learn the concepts and best practices to protect your IaaS virtual machines (VMs) on Azure Stack.
Create a transit VNet using VNet peering
Azure Virtual Network (VNet) is the fundamental building block for any customer network. VNet lets you create your own private space in Azure, or as I call it your own network bubble. VNets are crucial to your cloud network as they offer isolation, segmentation, and other key benefits. VNet peering with gateway transit works across classic Azure Service Management (ASM) and Azure Resource Manager (ARM) deployment models and works across subscriptions and subscriptions belonging to different Azure Active Directory tenants. Gateway transit has been available since September 2016 for VNet peering in all regions and will be available for global VNet peering shortly.
Commit, push, deploy — Git in the Microsoft Azure Cloud
Git is a popular Version Control option — and, instead of asking you to learn something new, this article serves as an introduction to help Git users get familiar with cloud (and Azure), including an end-to-end walkthrough. Chris covers how to download, run, and configure a sample app using Git, and from there, dives into how to deploy, manage, update, and redeploy that app inside Azure.
Azure DevOps Slack Integration
In this quick how-to video, Neil shows how easy it is to setup the Azure DevOps and Slack integration for detailed real-time notifications about your build and release notifications. You'll see how to customize what you see, and click through to Azure DevOps to dig into build failures, approve requests, and validate successful deploys.
Azure Functions With F#
This quick post from Aaron Powell walks through how to use VS Code and F# to create Azure Functions v2.
How to query Azure resources using the Azure CLI
The Azure CLI can be used to not only create, configure, and delete resources from Azure — but also to query data from Azure. Querying Azure for resource properties is handy when you're writing scripts using the Azure CLI – for instance, when you want to get an Azure Virtual Machine or Container Instance IP address to perform some action on that resource. This post is a quick exercise that demonstrates several concepts, so you're ready to query a single resource property and store the value of that property in a variable. We'll use Azure Container Instances (ACI), but you don't need to have experience with ACI to complete the steps in this article – the concepts transfer to any Azure resource.
7 things you should know when getting started with Serverless APIs
In this article—based on a talk Simona Cotin gave at Build— she walks you through an existing application with an Express back-end and porting it to a Serverless back-end by changing a single line in our front-end code. By the end of the article, you will have built an API that will scale instantly as more and more users come in and our workload increases.
Additional technical content
Identify log write limits on Azure SQL Managed Instance using QPI library
Enhance data protection and compliance with customer managed keys
Running Azure Cosmos DB queries from SQL Server using ODBC driver
Planning the future for NoSQL Cassandra DB Applications on Azure
SAP on Azure High Availability Systems with Heterogenous Windows and Linux Clustering and SAP HANA
Lesson Learned #79: Connecting to Azure SQL Database just using the port 1433 without redirection
Azure shows
Episode 270 – Hammer and Nail | The Azure Podcast
Cale Teeter and Sujit D'Mello discuss using a solutions-based approach when selecting Azure services instead of getting caught in the hype of new services.
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Heat Maps and Image Overlays in Azure Maps | Internet of Things Show
Heat maps are used to represent the density of data using a range of colors. They are often used to show the data "hot spots" on a map and are great to help understand data. The heat map layer also supports weighted data points to help bring the most relevant information to the surface. Learn about the heat map and image layer visualizations in side of Azure Maps.
What’s New for Visual Studio 2019 Integrations with Azure Boards | The DevOps Lab
In this episode, you see a quick walk through of a new experience in Visual Studio 2019; showing how a developer can quickly find the work they need and associate it to their pending changes.
Azure Pipelines multi-cloud support and integration with DevOps tools | Azure Friday
Learn to integrate Azure Pipelines with various 3rd-party tools to achieve full DevOps cycle with Multi-cloud support. You can continue to use you existing tools and get Azure Pipelines benefits: application release orchestration, deployment, approvals, and full traceability all the way to the code or issue.
Five Ways You Can Infuse AI into Your Applications | Five Things
Leben Things! In case you don't speak Elvish, that roughly translates to "Five Things". This week I sit down with Noelle LaCharite from the Microsoft Cognitive Services team to learn how machines can translate language, perform search on unstructured data, converse like humans and more. Even better, you can use this stuff in your applications right away; no degree in multi-dimensional calculus required. This is five ways that you can infuse AI into your applications today.
Getting Started with Infrastructure as Code (IaC) | The Open Source Show
Armon Dadgar, HashiCorp CTO and co-founder, and Aaron Schlesinger walk us through the core concepts of Infrastructure as Code (IaC) and how it goes beyond what people typically think when they hear "Infrastructure." They break down the what, when, how, and why IaC makes developers' lives easier, whether you're running a simple application or have a complex, multi-node system. You'll learn how you can use HashiCorp Terraform to get up and running with IaC, going from nothing to a complete carbon copy of your production environment at the click of button (read: you focus on building, testing, and deploying, not spinning up test environments and hoping they're close to what's in production).
Quick tour of Azure DevOps projects using Node.js and AKS: Part 2 | Azure Tips and Tricks
Learn what Azure DevOps projects are and how to use them with Node.js and Azure Kubernetes Service. In part 2, you’ll get to explore the rest of the resources that Azure DevOps projects has to offer.
How to create a storage account and upload a blob | Azure Portal Series
The Azure Portal enables you to create and manage storage accounts and upload a blob. In this video of the Azure Portal “How To” Series, learn how to easily create a storage account, upload a blob, and manage the storage account within Storage Explorer (preview).
Greg Leonardo on Deploying the Azure Way | Azure DevOps Podcast
Greg Leonardo is a Cloud Architect at Campus Management Corp. and Webonology. In this episode of the Azure Podcast, he discusses some of the topics from his book, Hands-On Cloud Solutions with Azure: architecting, developing, and deploying the Azure way. He also talks about working with infrastructure as code, provisioning and watching environments, and more about what developers targeting Azure need to know.
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Episode 2 – WTF Azure (How Do I Get Started?) | AzureABILITY
AzureABILITY host Louis Berman discusses how to get started in Azure with his fellow Cloud Solutions Architect, Srini Ambati. Listen in as Louis and Srini give you a leg up into the cloud.
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Events
Microsoft Create – A Global Startup Event Series
Create is for startup founders, technical co-founders, and early or first engineers, with potentially a small number of business-focused attendees. The event is ideally for early stage startups looking to make technical decisions about platform and technology stack. Our agenda focuses heavily on Azure technologies and highlights Microsoft for Startups offerings and the ScaleUp program. The tour is free to attendees.
Join Microsoft at the NVIDIA GPU Technology Conference
The world of computing goes deep and wide on working on issues related to our environment, economy, energy, and public health systems. These needs require modern, advanced solutions that were traditionally limited to a few organizations, are hard to scale, and take a long time to deliver. Microsoft Azure delivers High Performance Computing (HPC) capability and tools to power solutions that address these challenges integrated into a global-scale cloud platform. Microsoft’s partnership with NVIDIA makes access to NVIDIA GPUs easier than ever. This week’s NVIDIA’s GPU Technology Conference teaches Azure customers to combine the flexibility and elasticity of the cloud with the capability of NVIDIA GPUs.
Cloud Commercial Communities webinar and podcast newsletter–March 2019
Each month the Cloud Commercial Communities 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.
IoT in Action: A more sustainable future for farming
The future of food security and feeding an expanding global population depends upon our ability to increase food production globally—an estimated 70 percent by the year 2050, according to the Food and Agriculture Organization of the United Nations. But challenges ranging from climate change, soil quality, pest control, and shrinking land availability, not to mention water resource constraints, must be addressed. We believe that the Internet of Things (IoT) technology and data-driven agriculture is one answer.
IoT in Action: Thriving partner ecosystem key to transformation
The Internet of Things (IoT) is an ongoing journey. Digital transformation requires that solutions be connected so that the data can be collected and analyzed more effectively across systems to drive exponential improvements in operations, profitability, and customer and employee loyalty. Through our partner-plus-platform-approach, we have committed $5 billion in IoT-focused investments to grow and support our partner ecosystem–specifically through unrelenting R&D innovation in critical areas, like security, new development tools and intelligent services, artificial intelligence, and emerging technologies.
Customers, partners, and industries
Spinning up cloud-scale analytics is even more compelling with Talend and Microsoft
Stich Data Loader is Talend's recent addition to its portfolio for small- and mid-market customers. With Stitch Data Loader, customers can load 5 million rows/month into Azure SQL Data Warehouse for free or scale up to an unlimited number of rows with a subscription. All across the industry, there is a rapid shift to the cloud. Using a fast, flexible, and secure cloud data warehouse is an important first step in that journey. With Microsoft Azure SQL Data Warehouse and Stitch Data Loader companies can get started faster than ever.
Economist study: OEMs create new revenue streams with next-gen supply chains
Original equipment manufacturers (OEMs) make the wheels go round for the business world. Successful OEMs are always on the lookout for opportunities to drive down costs and differentiate their brands; and the rise of IoT offers a golden opportunity to fundamentally transform the supply chain. The Economist Intelligence Unit surveyed 250 senior executives at OEMs in North America, Europe, and Asia-Pacific to gain insights from those customers at the center of the supply chain.
Azure Marketplace new offers – Volume 33
The Azure Marketplace is the premier destination for all your software needs – certified and optimized to run on Azure. Find, try, purchase, and provision applications & services from hundreds of leading software providers. You can also connect with Gold and Silver Microsoft Cloud Competency partners to help your adoption of Azure. In the first half of February we published 50 new offers.
Accelerating enterprise digital transformation through DevOps
IT organizations are under more pressure than ever to do more with less, they are expected to drive competitive advantage and innovation with higher quality while managing smaller teams. Organizations must now adapt by adopting rapid and strategic transformation while simultaneously working diligently to keep the lights on, and all with the important goal of reducing costs. To address these challenges, Sirrus7, GitHub, and HashiCorp have joined together to create the DevOps Acceleration Engine.
Maximize existing vision systems in quality assurance with Cognitive AI
Quality assurance matters to manufacturers. The reputation and bottom line of a company can be adversely affected if defective products are released. If a defect is not detected, and the flawed product is not removed early in the production process, the damage can run in the hundreds of dollars per unit. To mitigate this, many manufacturers install cameras to monitor their products as they move along the production line. Mariner, with its Spyglass solution, uses AI from Azure to achieve visibility over the entire line, and to prevent product defects before they become a problem.
Azure This Week – 15 March 2019 | A Cloud Guru – Azure This Week
This time on Azure This Week, Lars covers the official release of Azure DevOps Server 2019, the public preview of Azure Premium Blob Storage and he looks at some new features in Azure Firewall.
Quelle: Azure
