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.

This article was originally published in The New Stack and is reposted here with permission. It’s tempting to stuff time series data into the familiar Postgres or MySQL database, but that’s a bad idea for many reasons. To the uninitiated or unfamiliar, time series data exhibits similar characteristics to relational data, but the two data types have some critical differences.

It’s a constant challenge for many businesses: where and how to focus investment in technology to remain competitive and stay current with the latest trends and development practices, while still meeting changing customer demands.

Oracle Database is an enterprise multi-model database system capable of handling large amounts of data across multiple database servers with support for a wide variety of workloads. It’s a widely used and proven database software, so we are incredibly pleased to announce that it now has a dedicated cloud integration in Grafana Cloud. With the Oracle Database (OracleDB) integration, you can monitor your database’s performance with ease.