Zurück zu den Toten: Sowohl BlackBerry als auch Nokia wurden von vielen schon abgeschrieben, auf dem MWC sind sie beide mit speziellen Geräten zurück. Im Podcast unterhalten wir uns darüber, welcher der alten Hasen sein Comeback feiern könnte.
Quelle: Heise Tech News
Die erste Karte basierend auf der Vega-Architektur heißt Radeon RX Vega. In San Francisco zeigte AMD eine Demo für die schnelle FP16-Berechnung alias Rapid Packed Math und gab bekannt, Ingenieure für Bethesda-Spiele abzustellen, die Optimierungen für Radeon-Karten und Ryzen-CPUs vornehmen sollen. (AMD Vega, Grafikhardware)
Quelle: Golem
Es hat einige Monate gedauert, aber er erscheint doch: Mediateks Helio X30 wird vor allem in chinesischen Smartphones stecken und weist erneut ein interessantes Tri-Cluster-Design mit zehn Kernen auf. Das soll deutlich verbessert worden sein. (Mediatek, Smartphone)
Quelle: Golem
With Azure SQL Data Sync users can easily synchronize data bi-directionally between multiple Azure SQL Databases and/or on-premises SQL Databases. This service is currently in public preview and available only in the old Azure portal. We are currently working to improve the service and bring it to General Availability (GA). In this blog, we are going to share the current roadmap of Azure Data Sync.
Azure Data Sync will be available in new Azure portal within the next few months. This will come with several improvements to the service, including PowerShell and REST API support, improvements to security and privacy, and enhanced monitoring and troubleshooting.
PowerShell programmability and REST APIs
Previously in Data Sync, creating sync groups and making changes had to be done manually through the UI. This could be a tedious, time consuming process, especially in complex sync topologies with many member databases or sync groups. We now have support for PowerShell and REST APIs which developers can leverage to make these tasks faster and easier.
Better security, better privacy, better resilience
Previously, Data Sync used a shared database to manage the sync metadata and operations for all users. Now each user will have dedicated Sync Databases. A Sync Database is a customer owned Azure SQL Database located in the same region as the Sync Group. One Sync Database can be used for many sync groups in the same region. By replacing the shared sync databases with customer owned sync databases, we provide better privacy and security. In addition, this provides the user flexibility to increase or decrease the performance tier of the Sync Database based on their needs.
Enhanced monitoring and troubleshooting
We have made a few key improvements to monitoring and troubleshooting. Users can now monitor the sync status programmatically using PowerShell and REST APIs. In addition, we’ve improved several error messages, making them more clear and actionable.
Availability in more regions
Previously, Data Sync was only available in limited Azure regions. The service will now be available in most regions. Support for Azure China, Germany, and Government regions will also come soon.
We will migrate existing Data Sync customers to the new Azure portal once it is available. If you are using Data Sync with any on-premises databases, you will need to download and configure the new Sync Agent to complete the migration. Detailed migration instructions will be provided closer to the time of migration.
The Data Sync service will remain free until GA. The only new cost is for the Sync Database which can be in any service tier. If you use Data Sync in multiple regions, you will need one Sync Database for each region.
If you have any feedback on Azure Data Sync service, we’d love to hear from you! To get the latest update of Azure Data Sync, please join the SQL Advisor Yammer Group or follow us @AzureSQLDB on Twitter.
Quelle: Azure
Are you looking to transform your IT department into a self-service delivery center? Do your IT operations have the speed and control to deliver what’s needed without compromising quality?
Keep reading to find out how KPN, an IT and communications technology services provider, increased its speed to quickly deliver IT service requests, reduce costs and provide high quality cloud services.
KPN is a leader in IT services and connectivity. It offers fixed-line and mobile telephony, internet access and television services in Netherlands. The provider also operates several mobile brands in Germany and Belgium. Its subsidiary, Getronics N.V., provides services across the globe.
Data and storage have played a critical role in helping KPN deliver high quality cloud services to its clients. As rapid growth of data continues to change the game, here’s how this savvy business has used IBM Cloud to transform operations.
Cloud Orchestrator accelerates service delivery
KPN executives wanted to optimize its cloud strategy to enhance service delivery time and quality. Potential solutions would help them manage and automate storage services in-house. The goal: improve cloud management to accelerate service delivery and reduce costs without sacrificing quality.
IBM Cloud Orchestrator (ICO) is an excellent solution for managing your complex hybrid cloud environments. It provides cloud management for IT services through a user-friendly, self-service portal. It automates and integrates the infrastructure, application, storage and network into a single tool. Additionally, the self-service catalog lets users automate the deployment of data center resources, cloud-enabled business processes and other cloud services.
Business transformation through automation
With ICO, KPN automated its storage services and designed an in-house cloud management system. The solution helped KPN provision and scale cloud resources and reduce both administrator workloads and error-prone manual IT administrator tasks. As a result, KPN could accelerate service delivery times by approximately 80 percent. This significantly improved the service quality and saved resources through automation.
Watch this video to learn more about how IBM Cloud Orchestrator helped KPN accelerate its cloud service delivery:
For a more in-depth discussion, join us at InterConnect 2017 and attend the session: “How KPN leveraged IBM Cloud technologies for automation and “insourcing” of operations work.” And there’s more. InterConnect will bring together more than 20,000 top cloud professionals to network, train and learn about the future of the industry. If you still haven’t signed up, be sure to register now.
The post How KPN speeds service delivery appeared first on #Cloud computing news.
Quelle: Thoughts on Cloud
AMDs kommende High-End-Grafikkarten laufen unter der Bezeichnung Radeon RX Vega. AMDs GPU-Chefentwickler Raja Koduri präsentierte auf der GDC dazu einige Technikdemos.
Quelle: Heise Tech News
Today, we are pleased to announce a preview of Azure HDInsight 3.6. We are enabling this preview to get feedback on Apache Spark 2.1. You can try out all the features available in the open source release of Apache Spark 2.1, along with the rich experience of using notebooks on Azure HDInsight. This post is a short summary on how to get started with this preview.
What’s new in Spark 2.1
The open source Apache Spark 2.1 release brings in a ton of improvements for developers. These improvements range from Structured Streaming to allowing developers to use Apache Kafka (version 0.10) with Spark Streaming.
To learn more about all of the improvements in Apache Spark 2.1, please read the release notes on the Apache Spark project.
Get started with Apache Spark 2.1 on HDInsight
It is very simple to get started with Apache Spark 2.1 Preview. You can go to Microsoft Azure portal and create an Azure HDInsight service.
Once you select HDInsight, you can pick the Spark cluster type with version Spark 2.1 (HDI 3.6 Preview).
After creating the cluster you will have access to all the tools, services and notebooks, including Jupyter. You can access the Jupyter notebook by clicking “Cluster dashboard”.
We hope that you like this preview. Following are some resources to learn more about using Spark on HDInsight.
Learn more and get help
Apache Spark 2.1 release notes
Apache Spark on HDInsight
Getting started with Spark on HDInsight
Get help on Spark questions
Ask HDInsight questions on stackoverflow
Frequently Asked Questions (FAQ’s)
Following is a set of commonly asked questions and known issues in this preview.
Can I use any other cluster besides Spark in HDInsight 3.6?
For this preview release we are only enabling Spark cluster for version 2.1.
I cannot connect to BI tools with Spark 2.1.
You cannot connect BI tools to Spark 2.1 using ODBC driver in this preview.
I cannot use Azure Data Lake Store with Spark 2.1.
In this preview, you can only store data in Azure Blob Storage and use from your Spark 2.1 cluster. Azure Data Lake Store is not yet supported.
Why is Spark 2.1/ HDInsight 3.6 in preview?
We are releasing HDInsight 3.6 as preview so that we can enable users to try the improvements in Spark 2.1 and give us feedback. We are working on improving the experience of Spark 2.1 in HDInsight and once ready, we will make it generally available.
What is the Support & SLA provided for this preview?
Since this is a preview release there is no Support/SLA for this preview. Typically HDInsight has an SLA of 99.9%. However during this preview, users will be subject to applicable supplemental terms of use
Summary
We are pleased to announce a preview of Microsoft Azure HDInsight 3.6 along with Apache Spark 2.1. We are inviting you to try this preview and give us feedback so we can improve the experience.
Quelle: Azure
Panasonic hat auf dem MWC sein neues Toughbook CF-33 vorgestellt, ein extrem robustes Notebook mit abnehmbarem Tablet-Teil. In dem steckt topaktuelle Hardware und ein 3:2-Display, das sich auch bei gleißendem Sonnenlicht ablesen lässt.
Quelle: Heise Tech News
Amazon will nicht von einem Ausfall sprechen, die Nutzer schon: Das AWS-Rechenzentrum S3 US-East-1 meldet derzeit “erhöhte Fehlerraten”. Ausgerechnet die Seite isitdownrightnow.com ist daher gerade nicht erreichbar. (AWS, Web Service)
Quelle: Golem
While the most successful enterprise IoT solutions include a strategy for operators to handle ongoing management of device collection in a simple and reliable manner, it can be a hurdle for companies getting started with IoT. To help with that challenge, we recently introduced device management capabilities in Azure IoT Hub.
Today, we’ve added these device management features to the Azure IoT Suite remote monitoring preconfigured solution. The Azure IoT Suite simplifies deploying and orchestrating advanced services to give businesses a complete IoT solution from proof of concept to broader deployment.
With new device management functionality in Azure IoT Suite, developers will be able to quickly move beyond telemetry processing, rule management, and visualization to customize their device overview, queries and device lists. These enhancements include:
Synchronizing settings and metadata between the cloud and devices using device twins.
Performing an action on a connected device through the cloud using direct methods.
Broadcasting and orchestrating operations on multiple devices at a planned time through jobs.
Attesting the status and health for on or offline device collections using real-time, dynamic queries across device twins and jobs.
Customizing device information overview by using Column Editor to provide a dynamic report for devices you want to monitor right now.
The Azure IoT Suite remote monitoring preconfigured solution is also open source, which gives developers the flexibility to customize it to their needs as the business evolves. We are excited to see developers achieve even more through the new device management features.
Learn more about today’s enhancements by reviewing our two step-by-step guides: Get started with the preconfigured solutions and Remote monitoring preconfigured solution walkthrough. You can also provision your IoT solution with your Azure subscription today by visiting www.azureiotsuite.com.
Quelle: Azure
