Database monitoring with Netdata
Challenges of database monitoring
Databases, and the information they contain, are the foundation of modern digital infrastructure. In these environments, even a short interruption in a single database could cause cascading slowdowns or complete failures that can reach end-users in a matter of milliseconds. Every database, and the system or container that runs it, needs to perform well under load, maintain its reliability during stressful scenarios, and remain highly available over long periods without constant maintenance. To maintain these strict requirements for databases, IT, Ops, DevOps, or SRE teams require immense visibility via their database monitoring tools.
To properly monitor databases, organizations need to track baseline and anomalous resource utilization, volume connections, throughput, open files, changed objects, and much more. They also need the same tool to monitor the uptime, CPU, RAM, disk space, and I/O bandwidth of every node that runs a database to ensure no resource bottlenecks. If they waste weeks spinning up a new monitoring stack, organizing metrics, and building custom alarms, they’re already losing valuable data and beginning a painful cycle of slow, reactive response.
How Netdata enables infrastructure-wide database monitoring
The Netdata Agent automatically detects dozens of metrics, every second, from popular databases like MySQL, MongoDB, CockroachDB, PostgreSQL, Redis, and more than a dozen others. The Netdata Agent works in any environment, whether that’s databases running on bare metal, virtual machines (VMs), Docker containers, or orchestrated microservice deployments. It’s also infinitely scalable as metrics are stored on individual nodes, not centralized in a complex data lake.
With Netdata, technical teams dramatically simplify their path to per-second database monitoring with immediately actionable data. Netdata collects and visualizes key database metrics and updates dashboards with interactive visualizations every second. The built-in health watchdog simultaneously analyzes metrics every second for anomalous behavior using preconfigured alarms. There’s no wasted time coding or worrying about thresholds and hysteresis.
Netdata Cloud brings every value of monitoring single nodes running databases to an entire infrastructure. With unified multi-node views, composite charts, and custom dashboards, technical teams have every tool and visualization necessary to monitor database performance trends, identify throughput anomalies, and drill down to find the root cause on single affected nodes. Metric Correlations simplifies the process even further, helping engineers focus on how anomalous events affect not only their databases, but also all the related applications, speeding up the process and removing the burden of knowing exactly where to look next.
Key database performance metrics
- Monitor current database connections/requests to gather a baseline of your databases’ health and performance.
- Gather metrics on table/row/collection locks to find bottlenecks in database queries or discover deadlocks.
- Instantly view a database’s CPU, RAM, disk I/O, and thread usage to understand how it interfaces with its host system.
The impact of monitoring databases in real time
Netdata makes deploying database monitoring simple, with only a few minutes between having no monitoring to powerful per-second dashboards, but that’s just the beginning. With per-second metrics from every database across the infrastructure, deploying Netdata makes database monitoring proactive and actionable. Instead of constantly chasing alarms or trying to resolve anomalies, teams can more effectively plan capacity, design performance improvements, and build more resilient systems to reduce their risk.
SMEs can operate without a whole IT department to set up their monitoring. Development teams become DevOps teams with out-of-the-box insights. Large corporations can get engineers back to troubleshooting anomalies, not wasting time organizing metrics. No one has to worry about the burden of deploying or maintaining the monitoring system.
Teams troubleshoot faster, continue to build more sophisticated alerting on top of the smart default alarms, and build greater awareness of how their databases perform in every situation. As a result, monitoring databases with Netdata improves a team’s monitoring methodology and the most important metric of all: the end-user experience.