Software Development Company - Aezion Inc.

Why Moving to the Cloud Doesn't Automatically Make Applications Scalable Introduction   Moving an application to the cloud can solve several infrastructure problems. It can reduce dependence on physical servers, make resources easier to provision, and give engineering teams more flexibility. But there is a common assumption that moving an application to AWS, Azure, or another cloud platform will automatically make it scalable. Press Enter or click to view image in full size It doesn’t. If an application was designed around fixed infrastructure, moving it to the cloud doesn’t suddenly change how the application handles traffic, databases, deployments, or failures. The application may be running in a new environment, but many of its old limitations can still be there. This is where cloud engineering is instant. Migration Doesn’t Change Application Architecture A straightforward cloud migration often involves moving an existing application with relatively few changes. This can be the ...

  Introduction   As companies have become more data-centric, it has become difficult for them to store and maintain the data. With a vast amount of structured and unstructured data coming in by the second, there is no room for legacy technology. That's where Data Lake, Data Warehouse, and Lakehouse come into the picture. Each has its tradeoffs and strengths, but which is right for your business?     This article will discuss all three approaches and help you understand how each plays a different but essential role. Data engineering service providers leverage such formats, along with an accurate data modernization strategy, to enhance business scalability for companies across all domains . Data L akes, W arehouses, and Lakehouses : What Are They ?   Here's a simple differentiation between these three data systems   • Data Lake: A data lake is a multifaceted repository that can store any raw data, structured, semi-structured, or unstructured. It can sto...