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.