Tag Archives: edge

HP Prodesk 400 micro tower

I have for sale this HP prodesk 400 micro tower. its a nice rig, scratches on the outer edge of the front left facia, will get some pics. fully working.

Core i3 4160 cpu
8 gb of ram
500 gb hdd
windows 10 pro

nice little unit.

185 plus shipping.

Price and currency: 185
Delivery: Delivery cost is not included
Payment method: bank t, paypal
Location: heybridge
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HP Prodesk 400 micro tower

Micro data centers garner macro hype and little latency

LAS VEGAS — The large growth of data in many organizations is piquing IT interest in edge computing.

Edge computing is a process that places data processing closer to the data sources and its end users to reduce latency, and micro data centers are one way to achieve that. Micro data centers, also called edge data centers, are typically modular devices that house all infrastructure elements, from servers and storage to uninterruptible power supply and cooling. As data centers receive a flood of information from IoT devices, the two concepts took center stage for IT pros at Gartner’s data center conference last week in Las Vegas.

“As we start to have billions of things that are expecting instantaneous response and generating 4k video, the traffic is such that it doesn’t make sense to take all of that and shove it into a centralized cloud,” said Bob Gill, a research vice president at Gartner.

Gill compared the importance of edge to the effect that U.S. president Dwight D. Eisenhower’s highway system had on declining communities in the Midwest. Towns that were otherwise defunct of commerce could easily connect to cities with more promise. Similarly, organizations can place a micro data center in whichever location will maximize its value: an office, warehouse, factory floor or colocation facility.

“If you build the infrastructure based only on the centralized cloud models, data centers and colocation facilities without thinking about the edge, we’re going to find ourselves in three to four years with suboptimal infrastructure,” Gill said.

Edge computing
Edge computing enables data to be processed closer to its source.

A growing market

The market for micro data centers is still small, but it’s growing quickly. By 2021, 25% of enterprise organizations will have deployed a micro data center, according to Gartner.

If you build the infrastructure based only on the centralized cloud models … we’re going to find ourselves in three to four years with suboptimal infrastructure.
Bob Gillresearch vice president, Gartner

Some organizations are ahead of the edge computing game. Frank Barrett, IT operations director for Spartan Motors in Charlotte, Mich., inherited multiple data centers from a company acquisition. Now, the company has two primary data centers in Michigan and Indiana, and three smaller, micro data centers in Nebraska. All of the data centers currently have traditional hub-and-spoke networking infrastructure, but Barrett is considering improving the networks to better support the company’s edge data centers. He is currently in the process of moving to one provider for all of the company’s services, as well as updating switches, routers and firewalls throughout the enterprise.

“Latency is a killer,” Barrett said. “We’ve got a lot of legacy systems that people in different locations need access to. It can be a nightmare for those remote locations, regardless of how much bandwidth I throw between sites.”

Other organizations interested in adopting this technology have a choice between three types of micro data center providers. Infrastructure providers offer a one-stop shop with a single vendor for all hardware. Facilities specialists are often hardware-agnostic and provide a range of modular options, but they may require separate hardware. Regional providers are highly focused in a given region, providing strong local customer service. But a smaller business base can lead to less stability for those providers, with a higher risk of acquisitions and mergers, said Jeffrey Hewitt, a research vice president at Gartner.

One data center engineer at an audit company for retail and healthcare services is interested in the facilities provider approach because his company has a dedicated, in-house IT team to handle the other aspects of a data center. The engineer requested anonymity because he wasn’t authorized to speak to the media.

“With the facilities [option], you can install whatever you want,” he said. “Most offices have a main distribution facility, so they already have a circuit coming in, cooling in place and security. We don’t need any of that; it’d just be a dedicated rack for the micro data center.”

Micro data centers, not micro problems

Since micro data centers are often in a different physical location than a company’s traditional data center, IT needs to ensure that the equipment is secure, reliable and able to operate without constant repairs, said Daniel Bowers, a research director at Gartner. Industrial edge data centers in particular need to ruggedize the equipment so that it can withstand elements such as excessive vibrations and dust.

The distributed nature of micro data centers means that management is another concern, said Steven Carlini, senior director of data center global solutions at Schneider Electric, an energy management provider based in France.

“You don’t want to dispatch service to thousands of sites; you want the notifications that you get to be very specific,” he said. “Hopefully you can resolve an issue without sending someone on site.”

Vendor lock-in is a concern, particularly with all-in-one providers such as Dell EMC, HPE and Hitachi. It’s important to choose the right vendor from the start, which can be overwhelming due to an oversaturated market. The reality is that micro data centers have been around for years. At last year’s conference, Schneider Electric and HPE unveiled the HPE Micro Datacenter, but Schneider Electric has offered micro data centers for at least three years prior, for instance. This year, the company introduced Micro Data Center Xpress, which allows customers or partners to configure IT equipment before installing the system.

Hewitt recommends a four-step process to choose a micro data center vendor: Identify the requirements, score the vendors based on strengths and weaknesses, use those to create a shortlist and negotiate a contract with at least two comparable vendors.

Microsoft announces Azure Databricks powered by Apache® Spark, new AI, IoT and machine learning tools for developers | News Center

New tools to help increase developer productivity and simplify app development for intelligent cloud and edge, across devices, platforms or data sources

NEW YORK — Nov. 15, 2017 — Wednesday at Connect(); 2017, Microsoft Corp.’s annual event for professional developers, Executive Vice President Scott Guthrie announced new Microsoft data platform technologies and cross-platform developer tools. Guthrie outlined the company’s vision and shared what’s next for developers across a broad range of Microsoft and open source technologies, and how Microsoft is helping them get more done across apps or platforms. He also touched on key application scenarios and ways developers can use built-in artificial intelligence (AI) to support continuous innovation and continuous deployment of today’s intelligent applications.

“With today’s intelligent cloud, emerging technologies like AI have the potential to change every facet of how we interact with the world,” Guthrie said. “Developers are in the forefront of shaping that potential. Today at Connect(); we’re announcing new tools and services that help developers build applications and services for the AI-driven future, using the platforms, languages and collaboration tools they already know and love.”

Across devs, apps, data, platforms

Microsoft is continuing its commitment to delivering open technologies and contributing to and partnering with the open source community. New tools and partnerships are designed to help developers build intelligent, enterprise-ready and cloud-scale apps — regardless of their platform, and to give them the peace of mind with the built-in security, performance, compliance features, support and SLAs available in Azure.

Azure Databricks

  • Designed in collaboration with the founders of Apache Spark, the preview of Azure Databricks is a fast, easy and collaborative Apache Spark-based analytics platform that delivers one-click setup, streamlined workflows and an interactive workspace. Native integration with Azure SQL Data Warehouse, Azure Storage, Azure Cosmos DB, Azure Active Directory and Power BI simplifies the creation of modern data warehouses that enable organizations to provide self-service analytics and machine learning over all data with enterprise-grade performance and governance.

Microsoft Joins MariaDB Foundation

  • Microsoft joins MariaDB Foundation as a platinum member and announces the upcoming preview of Azure Database for MariaDB for a fully managed MariaDB service in the cloud.

Azure Cosmos DB with Apache Cassandra API

  • The preview expands on the multimodel capabilities of Azure Cosmos DB to offer Cassandra as a service over turnkey global distribution, multiple consistency levels and industry-leading SLAs.

GitHub Roadmap for Git Virtual File Systems (GVFS)

  • Microsoft and GitHub will further their open source partnership to extend GVFS support to GitHub. GVFS is an open source extension to the Git version control system developed by Microsoft to support the world’s largest repositories.

Helping developers get more done

Microsoft is releasing tools designed to help developers, development teams and data scientists collaborate and work together more efficiently for application development, deployment and management. New tools and feature improvements help streamline essential tasks, so developers can focus more on getting apps to market across multiple platforms, and for any scenario — whether cloud, mobile or AI.

Visual Studio App Center General Availability

  • New cloud service for developers to ship higher-quality applications more frequently. Objective-C, Swift, Android Java, Xamarin and React Native developers can use App Center to increase productivity and accelerate application lifecycle, freeing them to spend more time on new features and better user experiences.

Visual Studio Live Share

  • Unique new capability for developers to collaborate in a seamless and secure way with full project context. With this preview, developers can share projects with teammates, or other developers, to edit and debug the same code in their personalized editor or IDE.

Azure DevOps Projects

  • The preview lets developers configure a full DevOps pipeline and connect to Azure Services within five minutes for faster app development and deployment. With just a few clicks in the Azure portal, developers can set up Git repositories, wire up completely automated builds and release pipelines without any prior knowledge of how to do so.

Transforming business through analytics and AI

Advances in AI and machine learning are placing the seemingly impossible within reach. The combination of cloud services, infrastructure and tools from Microsoft are designed to help any developer embrace AI and create apps across the cloud and the edge, harnessing the power of data and AI.

Azure IoT Edge

  • Azure IoT Edge preview availability, enabling AI, advanced analytics and machine learning at the Internet of Things (IoT) edge.

Azure Machine Learning updates

  • Integration with Azure IoT Edge and AI deployment on iOS devices with Core ML, bringing AI everywhere from the cloud to the IoT edge of devices.

 Visual Studio Tools for AI

  • Developers and data scientists can develop AI models with all the productivity of Visual Studio, on frameworks and languages. Updates to .NET make it easier for .NET developers to consume AI models from their applications.

Azure SQL Database Machine Learning services preview

  • Support for R models inside SQL Database makes it seamless for data scientists to develop and train models in Azure Machine Learning and deploy those models directly to Azure SQL Database to create predictions at blazing-fast speeds.

For the next three days, Microsoft is streaming more than 36 live, engineering-led training sessions that are designed to give developers hands-on experience with the tools and technologies featured throughout the keynote presentations.

More about Connect(); 2017 announcements can be found here.

Microsoft (Nasdaq “MSFT” @microsoft) is the leading platform and productivity company for the mobile-first, cloud-first world, and its mission is to empower every person and every organization on the planet to achieve more.

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Microsoft Media Relations, WE Communications, (425) 638-7777, rrt@we-worldwide.com

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SD-WAN-only devices disappearing as market matures

SD-WAN is evolving from stand-alone technology to just another feature within WAN edge appliances that deliver multiple application-centric services to remote and branch offices.

The trend is due to an alignment between the interests of SD-WAN vendors and enterprises. The former sees revenue potential in SD-WAN’s rising popularity while the latter wants consolidation of network infrastructure for the branch.

In a survey scheduled for release next month, the Enterprise Strategy Group, based in Milford, Mass., found that 60% of IT organizations in medium to large companies preferred SD-WAN as a feature within a broader package of branch network services. Only 36% of the 300 respondents thought of the technology as a stand-alone product.

SD-WAN vendors that deliver the traffic-routing software the way customers want will have access to a fast-growing market. IDC estimates revenue from SD-WAN infrastructure and services will increase nearly 70% annually to more than $8 billion in 2021.

SD-WAN’s attraction

Enterprises are turning to SD-WAN-only appliances to lower the cost of connecting branch offices to cloud-based business applications. Rather than backhaul all traffic to the corporate data center, companies can separate packets marked for the cloud and send them directly to the internet — a faster and less expensive option.

Startups selling SD-WAN appliances that plug into an enterprise’s network infrastructure have dominated the market for the last few years. Today, companies are looking for more versatile hardware that incorporates SD-WAN, WAN optimization, firewalls and IP services such as voice over IP.

“With time, you’ll see SD-WAN products shift from dedicated single-function hardware to software loads on multifunction appliances,” said Andrew Lerner, an analyst at Gartner.

Suppliers on that path include Cisco, CloudGenix, Nokia-owned Nuage Networks, Riverbed, Silver Peak, VeloCloud Networks Inc. and Versa Networks. The vendors, however, are not equal.

“They might architect their solutions differently, use different nomenclature, have different approaches to building a partner ecosystem, and be further or lesser along the path to bringing the vision to fruition,” said Brad Casemore, an analyst at IDC.

Choosing the right SD-WAN vendor

More than 40 companies sell WAN edge infrastructure, including SD-WAN, so trying to separate those with products that match an organization’s needs will take work. In a recent market report, Gartner had recommendations for making the right choice:

  • Everything should begin with the applications served by the network. Technologies that meet their requirements are the best candidates for the shortlist.
  • Choose an SD-WAN vendor with products that are in line with the organization’s long-term WAN and application architecture. Purchases shouldn’t operate in a silo.
  • Companies ready for an edge router refresh or replacement should consider SD-WAN alternatives.
  • Do not assume that a single set of WAN edge functionality will fit the needs of every business unit and branch office. Create a list of requirements for each location.
  • Finally, because SD-WAN favors the use of broadband for internet connectivity, do not assume legacy MPLS connections for applications are dead. Gartner expects a mixture of internet and MPLS connections to provide enterprises with the needed performance, reliability and security for the next three years.

Custom Vision Service introduces classifier export, starting with CoreML for iOS 11

To enable developers to build for the intelligent edge, Custom Vision Service from Microsoft Cognitive Services has added mobile model export.

Custom Vision Service is a tool for easily training, deploying, and improving custom image classifiers. With just a handful of images per category, you can train your own image classifier in minutes. Today, in addition to hosting your classifiers at a REST endpoint, you can now export models to run offline, starting with export to the CoreML format for iOS 11. Export will allow you to embed your classifier directly in your application and run it locally on a device. The models you export are optimized for the constraints of a mobile device, so you can classify on device in real time.

Custom Vision Service is designed to build quality classifiers with very small training datasets, helping you build a classifier that is robust to differences in the items you are trying to recognize and that ignores the things you are not interested in. With today’s update, you can easily add real time image classification to your mobile applications. Creating, updating, and exporting a compact model takes only minutes, making it easy to build and iteratively improve your application. More export formats and supported devices are coming in the near future.

A sample app and tutorial for adding real time image classification to an iOS app is now available.

To learn and starting building your own image classifier, visit www.customvision.ai.

Pineapple

Screenshot of a fruit recognition classifier in our sample app.