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Limitations of a Managed Cloud Database Service With the advent of cloud computing, several managed services for databases have become available. Whether to use a managed cloud database service from a cloud provider depends on several factors, and it may not be the best choice for everyone. Knowing the limitations can help you decide whether it makes sense for you. |
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2 Simple Ways to Improve Developer-Tester Relationships Supposedly there is a constant tension between developers and testers, like the roles of artist and art critic. They can’t exist without each other, and yet they can’t get along. It doesn't have to be that way! Here are two ways testers can reduce that feeling so that developers and testers can work better together. |
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Choosing between MySQL and PostgreSQL MySQL and PostgreSQL are the top two open source relational databases, and they have a lot in common. So how can developers choose between them? The application should guide the features that need to be prioritized. Here’s how the two databases compare with regard to the features that most relational databases support. |
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How Blockchain Technology Will Disrupt Business The security factor has made blockchain popular in finance applications—indeed, it's probably known best as the record-keeping technology behind bitcoin. But there’s more to its prospects than finance. Blockchain stands to be a disruptor in the business world because it has potential applications in so many fields. |
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Why Choose Containerization? Containers have been adopted by many organizations. Docker is the most popular and has become the standard containerization platform, though there are others. But why use containerization? What are the advantages that spurred its adoption? Let’s look at some of the factors that govern the choice of containerization. |
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Collaborating with a Highly Distributed Team Being distributed can cause challenges for team collaboration, such as insufficient communication and a lack of visibility. However, advancements in tools, technology, and best practices have helped to lessen some of those challenges. Here are four ways to make collaborating with distributed teams more seamless. |
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When to Use MapReduce with Big Data MapReduce is a programming model for distributed computation on big data sets in parallel. It's a module in the Apache Hadoop open source ecosystem, and a range of queries may be done based on the algorithms available. Here's when it's suitable (and not suitable) to use MapReduce for generating and processing data. |
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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. |
