Operations | Monitoring | ITSM | DevOps | Cloud

A Deep Dive into Multi-Model Databases: Hype vs. Reality

In 2009, as the world became increasingly data-driven, organizations began to accumulate vast amounts of data — a period that would later be characterized as the Big Data revolution. While most organizations were used to handling well-structured data in relational databases, this new data was appearing more and more frequently in semi-structured and unstructured data formats.
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3 Reasons Why You Need an Embedded, Modern Database

Today's applications demand efficient data handling to provide users with seamless experiences. One solution that has gained prominence is the use of embedded databases, which are integrated within applications rather than relying on external servers. Different from a database for embedded systems, databases embedded within applications offer several advantages for storing data and analyzing it, especially in scenarios where performance, deployment simplicity, and data security are important. Embedded databases, or an embedded database management system (DBMS), can serve a variety of use cases, but are especially valuable for applications that need to provide analytics capabilities.

Best Practices for Effective Log Management

Can following log management best practices help organizations with their overall observability, as well as troubleshooting issues and security analytics? Absolutely. In addition, following log management best practices can provide significant competitive advantages when it comes to understanding your users. Centralized log management can help your team accelerate time to insights, and make changes to your applications that improve the user experience.