PostgreSQL is one of the most popular relational databases on the market today with more than 1.5 billion users. This article will discuss everything you need to know about monitoring PostgreSQL, and how you can use it to optimize your site's data monitoring. If you want to get started right away on PostgreSQL database monitoring with MetricFire, you can book a demo or sign up for the free trial today.

Applications Manager offers Oracle Cloud Compute monitoring that tracks the health, availability, and performance of your Oracle Cloud Infrastructure (OCI) instances. Applications Manager effectively enables DevOps teams to establish a secure and dependable environment for application development and deployment. Without an Oracle Cloud Compute monitor like Applications Manager, administrators would have to manually check each component of an instance to identify performance issues and rectify them.

Imagine your popular website or app suddenly slowing down significantly or even stopping altogether. You scramble to find the root cause while losing customers and income every minute. This stressful situation is all too familiar, but you can avoid it. Proactively monitoring MySQL databases can help prevent these issues and keep your performance at its best.

Monitoring Redis for performance issues is critical. Redis is famous for its low-latency response while serving a large number of queries. There are certain key metrics that you can monitor to keep track of your Redis instance performance. In this guide, we will go through key Redis metrics that should be monitored and ways to collect these metrics with in-built Redis tools.

SQL and NoSQL are two database technologies widely adopted by many organizations for different use cases. Both technologies share the common goal of efficiently processing and managing data. Still, there are some significant differences. This article compares SQL and NoSQL, exploring their key differences in terms of language, structure, scalability, properties and support. We’ll also discuss examples, pros and cons and the most suitable application areas for each database type.

Alerting is one of the main reasons for having a monitoring system. It is always better to be notified about an issue before an unhappy user or customer gets to you. For this, engineers build systems that would check for certain conditions all the time, day and night. And when the system detects an anomaly - it raises an alert. Monitoring could break, so engineers make it reliable. Monitoring could get overwhelmed, so engineers make it scalable. But what if monitoring was just poorly instructed?

In this series of blog posts, we speak with database professionals from financial services organizations around the world to better understand how DevOps is shaping the sector. On the way, we dig into key current factors including the rise of technology upstarts in fintech and insurtech, the speed of digital transformation, and the ever-increasing threat of cyberattacks.