What is Database Monitoring?
Tools provide real-time visibility into the health of your database systems by collecting metrics from multiple sources such as operating system logs, application server logs, or even custom applications running on top of your database servers. These metrics can be collected in near real-time to detect potential issues before they impact production workloads. In addition, the ability to monitor these metrics allows you to proactively identify problems that may otherwise go unnoticed until it is too late.
How to Monitor the Database?
There are many ways you can monitor your databases. Some examples include:
– Logging into MySQL via SSH/MySQL Workbench/etc., then viewing logs for each table individually. This method requires that you have access to an instance of MySQL running on another server. You could use this method if you were using Amazon RDS. If you don’t want to pay for AWS services, there’s no need to run MySQL instances yourself; just connect to them remotely through SSH.
– Using tools like Percona XtraBackup, which will back up all tables at once. While it doesn’t provide real-time information, it does allow you to see what happened when a problem occurred.
– Performing regular full backups with MySQL dump, then restoring from these backups. This allows you to restore individual tables without having to create new ones manually. However, this won’t tell you anything about how long things took to complete.
– Running queries against the data itself. The most common way to do this would be by querying the INFORMATION_SCHEMA views directly. These views contain metadata such as column names and types, indexes, etc.
Database Monitoring Metrics
It is important to strategize the practice of monitoring the Database. Considering the criticalness and dependencies, it is essential to monitor the correct metrics that not only help an enterprise grow but also help resolve the problems. Under each category, there are a few types of database metrics one should consider monitoring. Here are a few Database monitoring metrics the organizations should have in their regular practices.
Infrastructure: When it comes to the organization’s infrastructure, a lot of metrics come into radar to be monitored.
-Network bandwidth utilization and usage
Availability: It is essential to have database availability all the time to ensure a smooth performance. It saves the customer complaints as outrages can be discovered before failures.
-Using protocols such as Ping or Telnet to access the database nodes.
-Accessing the database ports and endpoints
-Discovering the failed events for master nodes
Throughput: To produce a normal performance baseline, it is crucial to measure throughputs. There are different types of metrics based on the type of the Database. The basic standard metrics are as given below.
-Number of active database connections and queries
-Average time to compile the commands
-Number of successful transactions
-Number of received and sent commands
-Wait time for database endpoints and ports
Performance: It is essential to monitor the overall performance of the application and Database. By monitoring the performance, it becomes easy to detect the bottlenecks and problems causing elements. Here are a few metrics to measure while monitoring the performance of the Database.
-Number of deadlocks and database lock timeouts
-Tracing the applications
-Virtual disk usages
-Queries that run slower than threshold values
Scheduled Tasks: There are often repetitive tasks known as jobs. Tasks that utilize the time, money and leave the important jobs unassigned. Microsoft SQL Server or Oracle have their built-in job scheduling facilities that perform the jobs as per the priorities. Other services need to use third-party schedules. Here are a few metrics to monitor while having third-party schedulers.
Security: Database security monitoring needs to be operating with global-level comprehensive security goals. Here are a few minimum metrics organizations can monitor.
-The failed login attempts
-Configuration changes in the Database
-Creation of new users
Logs: Logs are one of the pioneers when it comes to monitoring. Every Database has various kinds of log data containing every event and record in the Database. It is beneficial and useful to have log management because logs have precious and sensitive information within.
-Outputs of the scheduled jobs
-Users and system information
-Database system events
Overall, it is very compulsion to monitor the Database if the enterprise wants to ensure a smooth user experience and grow stronger and stronger in the market. AIOps powered by Motadata is an AI-Driven IT Operation solution that can help you monitor every event and update occurring in your Database because Motadata AIOps every event counts.