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.

In this two-part Q&A series, we’re looking at how to seize the full potential of cloud migrations to advance your career. In part one, we talked with four industry experts about the skills DBAs can gain, the unique career opportunities that come up, and the best way to get involved in a cloud project. Chris Yates from Republic Bank, Kendra Little from Dutchie, and Matt Gordon and Joshua Higginbotham from Centric Consulting shared their insights and provided some really valuable advice.

Flyway v10 has arrived, bringing with it some major advantages for Community users, open source contributors and developers everywhere. The big news? Every user can now download the latest, most secure version of Flyway, however old their database, and Redgate is affirming its commitment to open source to make it easier to accept and manage community updates.

Relabeling is an important feature that allows users to modify metadata (labels) of scraped metrics before they ever make it to the database. As an example, some of your scrape targets may generate metric labels with underscores (_), and some of your targets may generate labels with hyphens (-). Relabeling allows you to make this consistent, making database queries easier to write.

If your organization is embarking on a cloud migration project, it can be a great opportunity to develop skills and qualities that will help unlock your leadership potential. But what skills should you look to be honing, what areas should you focus on, how do you get involved in a cloud project in the first place, and what qualities can prepare you for leadership responsibilities? We spoke to some notable industry experts to find out.

As data grows and databases become larger and more complicated, data subsetting provides a method of working with a smaller, lighter copy of a database to make development and testing faster and easier.

VictoriaMetrics is an open-source time-series database (TSDB) written in Go, and I’ve had the pleasure of working on it for the past couple of years. TSDBs have stringent performance requirements, and building VictoriaMetrics has taught me a thing or two about optimization. In this blog post, I’ll share some of the performance tips I’ve learned during my time at VictoriaMetrics.

In January 2015, I wrote about the future of professional database administrators (DBAs) in a three-part series of articles for Database Trends & Applications magazine. Back then I predicted we would see strong growth in DBA salaries because of the acute and persistent shortage of talent, very little means of training new DBAs, and a median age of DBAs creeping closer to retirement age with each passing year.

Starting around June this year, we upgraded our Grafana databases in Grafana Cloud from MySQL 5.7 to MySQL 8, due to MySQL 5.7 reaching end-of-life in October. This project involved tens of thousands of customer databases across dozens of MySQL database servers, multiple cloud providers, and many Kubernetes clusters.

Redis, as an in-memory data store, excels at providing high-speed data access and manipulation. However, without effective monitoring, the potential advantages of Redis can be compromised due to performance bottlenecks, scalability issues, and resource constraints. By closely scrutinizing key metrics, Redis monitoring allows you to proactively detect and address potential problems, ensuring the stability, reliability, and high-performance operation of your Redis environment.

We’re happy to announce a landmark 320% growth in 2023! VictoriaMetrics, our open source time series database and monitoring solution, already hit 268 million downloads this year (still counting), and received close to 13,000 stars on GitHub.

Grafana Tempo 2.3 has been unleashed upon the world, bringing with it the latest iteration of the vParquet backend! Tempo 2.3 has a little bit of everything, but the headline item here is vParquet3 and new features that improve search speeds. Watch the video above for all the details, or continue reading to get a quick overview of the latest updates in Tempo. If you’re looking for something more in-depth, don’t hesitate to jump into the changelog or our Grafana Tempo 2.3 release notes.