With so much going on in this space you could be forgiven for thinking you were always working with yesterday’s technologies. So much change, so quickly. What do you do if you have to build a solution from the ground up that is expected to live in the field for at least 5-10 years?
This is the challenge we faced when we looked to refresh our existing 10-year-old custom hardware stack to measure the fullness of trash cans and compactors.

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As IoT technologies attempt to live up to their promises to solve real-world problems and deliver consistent value for companies, there is still confusion among businesses on how to collect, store, and analyze a massive amount of IoT data generated from Internet-connected devices, both from industry and consumers, and unlock its value. Many businesses that are looking to collect and analyze IoT data are still unacquainted with the benefits and capabilities the IoT analytics technology offers, or struggle with how to analyze the data to continuously benefit their business in different ways such as cost reduction, improving product and services, safety and efficiency, and enhancing customer experience. Consequently, businesses still have the prospect of creating competitive advantage by mastering complex IoT technology and fully understanding the potential of IoT data analytics capabilities.

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When building DevOps or continuous delivery practices you can learn a great deal from others. What choices did they make, what practices did they put in place, and how did they connect the dots?

At Sonatype, we pulled together a set of 21 reference architectures for folks building continuous delivery and DevOps practices using Docker. Why? After 3,000 DevOps professionals attended our webinar on «Continuous Integration using Docker» discussing just one reference architecture example, we recognized there was a strong interest in the community to learn more. That’s why we assembled 20 more reference architectures into this collection.
A picture speaks a thousand words, but beyond the images, we also share the details of each DevOps/CD Docker reference architecture. In the bottom right corner of each slide, we share the original blog or presentation source for the image. When one of the images piques your interest, you can then dive deep into the source. Cool, huh?

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Do you know how much your organization risks with every potential outage?
Application performance issues can impact away more than revenue, your brand might take a substantial hit as well. Hundreds, thousands of potential customers could take to Facebook, Twitter, Yelp, the App Store and voice their complaints and give poor reviews simply because your app crashed, stalled, or they weren’t able to successfully check out.

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Datos IO has announced its membership within Amazon Web Services’ (AWS) Partner Network (APN). As a new Standard Partner with AWS, Datos IO will enable enterprises to protect their next-generation SaaS applications or applications (such as Internet of Things (IoT), Analytics, eCommerce, and others) hosted on IaaS and PaaS architectures natively deployed on AWS against data corruption, disasters and human errors.

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The burgeoning trends around DevOps are translating into new types of IT infrastructure that both developers and operators can take advantage of.
The next BriefingsDirect Voice of the Customer thought leadership discussion focuses on the burgeoning trends around DevOps and how that’s translating into new types of IT infrastructure that both developers and operators can take advantage of.

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Python has long been a go-to language for developers creating cutting-edge web applications. However, Python’s advantages of power, versatility, flexibility and ease of programming have made it a favorite language in a multitude of applications, industries, and niches.
Examples of Python being used outside the world of Web apps include:
The development of an ERP/CRM named ERP5, developed by Nexedi for use in government agencies, the apparel industry, and other warehouse-based businesses.

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Breqwatr has announced the general availability of its Breqwatr Cloud Appliance 2.0. This turnkey, hyper-converged cloud appliance offers scale-out infrastructure, cloud management tools and a uniquely designed user interface that empowers its clients to deploy and consume Infrastructure-as-a-Service (IaaS) without the complexity and time typically associated with alternative private cloud solutions.

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Cloud computing is now entering adolescent. With all the early adopters now swimming in the cloud pool with that “I told you so” smug, fast followers are just barely beating the early majority. The gold rush to cloud is also driving the IT herd to get cloud computing training. Training vendors from multi-billion dollar behemoths to little Mom and Pop shops are ready to cash in with fast and easy, vendor-specific certifications for just about any cloud service provider.

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Data centers have seen a lot of change in a short time. It used to be possible for organizations to run their service from a single data center and house their Domain Name Service (DNS) servers within it. It wasn’t an issue to have them in the same place, since if the data center went down, the DNS servers wouldn’t be of any use.
Of course, things aren’t so simple now. Organizations use multiple data centers, sometimes in multiple countries, not to mention cloud regions and highly distributed networks. Consequently, your DNS needs to be just as highly distributed as your content. After all, what good is a Disaster Recovery site if you have no way to direct your users to it?

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