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Virtualization or Containerization? Choosing the Right Strategy Virtualization and containerization are the top approaches when it comes to enabling scalability, limiting overhead costs, and standardizing software development, deployment, and management across multiple platforms. Each has its pros and cons, so which is the right choice for your team, application, and technology? |
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Choosing a Search Engine Database A search engine database indexes data in addition to storing it, so users are able to search collections of data using keywords. The features here are common to most search engine databases, so when deciding which is best for your use, determine what factors are most important and pick one that prioritizes your needs. |
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Should You Use a Managed Cloud Service for Kubernetes? Kubernetes is the number one container orchestration platform, as it’s suitable for deployment, scaling, and management of containerized applications. Several managed cloud-based services are available for Kubernetes, but are they right for your situation? Let’s look at the benefits and drawbacks of these services. |
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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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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. |
