In the following comparison table, we will provide you with an extensive guide designed to enable a detailed assessment of Cassandra and OpenSearch. This comparison aims to supply an in-depth exploration of multiple aspects of these two database systems, providing you with the insights required to make informed decisions tailored to your specific use case.

The latest edition to the SolarWinds® Observability Platform, Database Observability, is live! Previously, you’ve relied on Database Manager to help monitor your database and generate alerts, and while it was ahead of its time for years, the time has come for the next generation of database monitoring. Key features of Database Observability are: The compound alerting feature is what I want to focus on in this post, though. In my opinion, compound altering is a game changer.

Welcome to the third chapter of the handbook on Anomaly Detection for Time Series Data! This series of blog posts aims to provide an in-depth look into the fundamentals of anomaly detection and root cause analysis. It will also address the challenges posed by the time-series characteristics of the data and demystify technical jargon by breaking it down into easily understandable language.

For high throughput systems that focus on gathering continuous data or have a heavy read-only traffic, NoSQL databases came as a blessing. NoSQL databases, due to their unstructured nature of data, allow relatively faster inserts as well as reads compared to relational databases. One such database that’s quite popular today is MongoDB. In this article, our focus would be to understand how to extract metrics out of MongoDB and ship them to Signoz using the Open Telemetry collector.

Let's dive deep into the realm of Memcached, where we'll uncover the power of monitoring with OpenTelemetry and SigNoz. This isn't just about caching data; it's about watching over Memcached like a vigilant guardian, ensuring it performs at its best, and optimizing your application's speed. In this tutorial, you will install OpenTelemetry Collector to collect Memcached metrics that should be monitored for performance and then send the collected data to SigNoz for visualization and alerts.

Amazon Web Services (AWS) provides a range of managed database services that provide multiple database technologies to handle various use cases. They are designed to free businesses from tasks like database administration, maintenance, upgrades, and backup. AWS databases come in several types to cater to different business needs.

One of the most important events you should be monitoring on your network is failed and successful logon events. What comes to most people’s minds when they think of authentication auditing is OS level login events, but you should be logging all authentication events regardless of application or platform. Not only should we monitor these events across our network, but we should also normalize this data so that we can correlate events between these platforms.

This blog post is also available as a recorded talk with slides.

Database monitoring is an important aspect to look at for a high-volume or high-traffic system. The database performance drastically impacts the response times for the application. In this tutorial, you will install OpenTelemetry Collector to collect MySQL metrics and then send the collected data to SigNoz for monitoring and visualization. In this tutorial, we cover: If you want to jump straight into implementation, start with this pre-requisites section.