Cloud Development
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Migrating to the Cloud: Which Model Is Right for You? Cloud computing is a relatively recent trend, and several organizations have opted to migrate their services and data to the cloud. Which of the cloud computing models available is right for which situation? Let’s look at the three options—public, private, and hybrid—and discuss when it's a good idea to use each one. |
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Migrating a Database? Consider These Factors First Database migration is usually performed with a migration tool or service. Migrating one database to another actually involves migrating the schemas, tables, and data; the software itself is not migrated. Whatever the reason for migration, before you start, explore the options and take these considerations into account. |
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Before Data Analysis, You Need Data Preparation One of the prerequisites for any type of analytics in data science is data preparation. Raw data usually has several shortcomings in structure, format, and consistency, so first it has to be converted to a usable form. These are some types of data preparation you can conduct to make your data useful for analysis. |
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Selecting a Cloud Service Cloud services are relatively new, and for those used to downloading and installing software, it may be daunting at first when trying to figure out which cloud service to use. Let’s analyze the different options—infrastructure as a service, platform as a service, and software as a service—and when you should use each. |
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Explaining Hardware Virtualization and Containerization Virtualization is the abstraction of a computer resource—such as hardware, memory, storage, an operating system, a desktop machine, or a network—built on top of the physical resource. There are many types of virtualization, and here, we look at virtualization of hardware and of an operating system, or containerization. |
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What’s Different about Testing Serverless Applications? Serverless computing is a DevOps technique that uses cloud-provided runtimes to execute code components in a defined workflow. Testing is easier in some ways with this model, but more difficult in others. Let's dive into the ways testing serverless applications and components is different from traditional architecture. |
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The Advantages of Serverless Cloud Providers Most cloud providers have server-based computing services. But that requires servers to be provisioned and administered, and servers have a fixed capacity to operate within. A new DevOps trend is to go serverless—however, this doesn’t mean no servers are used at all. Learn more about this model and its advantages now. |
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4 Reasons to Use Cloud Testing for Digital Transformation Cloud computing makes data access more reliable and efficient, with less administration effort required, so testing in the cloud can accelerate your digital transformation. This helps guarantee quality and decrease time to market. Here are four more reasons to consider cloud testing for your digital transformation. |
