Operations | Monitoring | ITSM | DevOps | Cloud

Oracle Cloud Infrastructure (OCI) provides a robust, versatile platform for modern cloud deployments, catering to businesses with diverse needs, like multi-region scalability, high customization, and hybrid cloud integration. However, the complexity of its architecture and the sheer volume of data generated can present unique challenges in effectively monitoring it.

Long-running queries in MySQL can significantly impact the performance and availability of your database. They can consume server resources, lock tables, and block other queries, leading to cascading performance issues. In this blog, we will explore why long-running queries occur, how to detect them, and best practices for managing and optimizing them.

Choosing a database is no easy feat. You must consider your organization’s current requirements and anticipate its future needs. Also, there are plenty of databases to choose from, and each type has its pros, cons, and use cases. To help you decide, we’re diving into a MongoDB vs. MySQL comparison in this article. We’ll review each database to help you decide which one might meet your needs.

If you're new to working with data, you might have heard of databases and data warehouses. But do you know what sets them apart? Knowing the differences between data warehouses and databases can clear up a lot of confusion for many people, especially with the volume of data we have these days. In this blog post, I'll discuss the differences between these two types of data systems. I'll also provide some examples to help illustrate the points made.

If picking the best database management system (DBMS) were a road trip, both MongoDB and DynamoDB would get you there. Ultimately, it comes down to choosing whether you need the specialized efficiency of DynamoDB within Amazon Web Services (AWS) or the “off-road” flexibility of platform-agnostic MongoDB. What do road trips and off-road antics have to do with deciding between MongoDB vs. DynamoDB?

Slow database queries drag down performance for both developers and users. They waste resources, slow down testing, and frustrate customers with laggy experiences. But often, there’s a surprisingly simple fix: indexing. Here’s how indexing works and when to use it, regardless of your schema.

Learn how to optimize your database for high traffic, ensuring performance, scalability, and reliability under heavy load.