Cloud Computing

  1. Azure Search is a powerful search service available in Microsoft’s Azure cloud. Azure Search provides excellent support for indexing and querying data while at the same time shielding you from the intricacies of deployment, management, and search algorithms.

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    (Insider Story)
  2. At IBM, the IBM Cloud Container Service is updated an average of 40 times per day. This may seem like a shockingly high number of updates, but there is good reason. Built on top of microservices and deployed globally on the IBM Cloud, we want to provide our users with a continuous drumbeat of new features and capabilities, high performance, and the most updated security possible against emerging cyberthreats.

    What does updating a container service 40 times per day entail? It means iterating and deploying additional features, rolling out our service in new locations, updating for security in response to the latest operating system patches, improving Kubernetes and the container engine at the core of our service, and fixing any performance or availability issues. It also means constantly adding maintenance features and expanding the service in response to market and technology demands.

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  3. It’s all the rage these days: moving on-premises data to the cloud. But should you use cloud-native databases or databases that run both in the cloud and on-premises?

    There are trade-offs between the cloud-native (meaning “cloud-only”) and dual cloud/on-premises options, mostly involving cost and operational efficiency.

    Of course, the issue of which database can be a contentious one. Many IT organizations have used a specific enterprise database for years, and they’re not about to give up that database in the cloud. The good news: Your favorite on-premises database runs in the cloud as well.

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  4. In this 60-second video, learn how the cloud-native approach is changing the way enterprises structure their technologies, from Craig McLuckie, founder and CEO of Heptio, and one of the inventors of open-source system Kubernetes
  5. Without question, digital transformation has captured the attention of the world’s business community. But digital transformation is really data transformation because the foundation is so frequently putting new sources of data to use. Consider how new data-driven juggernauts have upended industries, such as Uber in transportation, Airbnb in hospitality, and Alibaba and Tencent in payments, pushing China’s mobile payments to a record $32 trillion in 2017.

    Companies seeking a similar impact on their industries can follow a simple three Cs approach to improving their data infrastructure on a path to digital success. That includes:

    • Consideration of the applications and analytics that need to be served.
    • Consolidation of the expanding number of datastores and analytic systems.
    • Cloud focus for new deployments.

    1. Consideration

    Too often, technology deployments can take on a life of their own independent of the applications and analytics they serve. It takes time and energy to corral the inputs from business units on specific requirements and work them into the infrastructure.

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