When Do You Need Database Performance Monitoring?

When Do You Need Database Performance Monitoring?

Database performance monitoring(DPM), like application monitoring, is an essential practice. If the problem isn’t with the code, then it’s probably with the database. The performance of your database may be gauged in large part by monitoring key indicators like CPU and memory utilization. To further improve the database, you can combine your knowledge of slow queries and excessive database requests by monitoring both.

With Enteros, you can monitor your database’s efficiency. With our services, you can keep tabs on your database in real time and see how it’s doing in relation to the rest of your application and infrastructure. Enteros is compatible with MySQL, RDS, Cosmos, SQL Server, PostgreSQL, Cassandra, MariaDB, Mongo DB, and Redis are just some of the databases that Enteros is compatible with.

Interestingly, Enteros also provides database query tracing so you may learn more about your database’s activity. Trace queries can be used to find problems, such as wrongly set up database indexes that slow down database performance monitoring.

This piece will talk about four good ways to keep an eye on how well a database is doing and explain why it’s important to do so.

The Database Performance Analyzer (DPA) is an easy tool for cloud and on-premises monitoring of several database management system platforms. Because monitoring applications and IT infrastructure in general, rely on fast database retrieval, efficient queries, and fast database servers to avoid downtime, monitoring sluggish queries is one of the most crucial components for moving from a reactive to a proactive monitoring system. The team at DPA is here to assist you in making the transition.

Cross-platform database performance monitoring doesn’t have to be hard for firms that use various database servers. DPA’s simplified approach to monitoring database performance across platforms makes it easy to set up for a wide range of server vendors and deployment models, such as on-premises and cloud.

With Enteros, businesses may enable observability to monitor, diagnose, and improve their whole database ecosystem. By taking preventative measures with SQL Sentry’s help, like using advanced alerts, storage forecasting, and continuous metrics insights, you can spot and fix database issues before they become serious. This feature helps IT staff get out of “fire-fighting” mode and also makes sure that databases run at their best around the clock.

Team members who are working to boost the speed of databases and applications may encounter serious difficulties due to bottlenecks. The Enteros Database Performance Monitoring (DPM) makes it easy to monitor the metrics required to fine-tune databases and cut down on network-wide bottlenecks. Database performance management (DPM) cloud-based systems track hundreds of system-wide indicators with a one-second resolution to reveal the total database workload. These fine-grained measurements are shown in a user-friendly interface with zooming and drilling functions, allowing for quick analysis of network bottlenecks.

The benefits of database performance monitoring (DPM)should convince you to make an investment in it.

Why Should You Invest in Database Performance Monitoring, And What Benefits Can You Expect?

• Save money for the company.
• Rather than merely reacting to problems, switch to proactive monitoring to drastically cut down on the number of problems.
• Increase your database and program’s efficiency.
• Analyze data and apply what you discover to improve efficiency.
• You can improve your understanding by monitoring database health and performance indicators.
• The Most Effective Methods for Tracking Database Efficiency

First, Keep an Eye On Queries That Are Taking Too Long To Process

Keeping an eye on sluggish queries is a crucial part of keeping an eye on database performance monitoring. Programmers can further boost performance by employing slow queries.

Let’s pretend for a moment that you’re using a MySQL server to power an application. Each time a user logs in, a query is made to the database to verify their credentials. A database’s overall performance may be severely impacted if this query is slow. Even worse, if this query is used a lot in your application, it could slow down a lot.

It is crucial to keep an eye on your application’s most resource-intensive queries and find ways to optimize them for better performance. Focus on the most-asked questions first, since they will have the most impact on your software.

Time-to-completion metrics provide the most straightforward method for keeping tabs on slow requests. In addition, query resource consumption can be monitored. Both of these tools should provide you with a wealth of information about how your database queries are performing.

Incorrect Queries

Frequently, more information is chosen than is actually necessary. For SQL queries, keep in mind the SELECT * statement. Typically, you won’t need all this information. Be selective in the information you submit.

Joins between tables are typically created inefficiently by developers, meaning they combine data types that don’t go together. Databases should try to avoid performing joins wherever possible because they are resource-intensive. You should reconsider your database model if it requires several joins to function properly.

And finally, an index is a fantastic tool for enhancing your app’s efficiency. However, the performance of your application may suffer if you have too many indexes. And because indices can grow so enormous, they can eventually slow everything down. Avoid treating indexes like the silver bullet to your database’s performance monitoring problems and utilize them wisely.

Two, Monitor Schema Changes.

Database performance monitoring (DPM) can be greatly affected by even small changes to the schema, so keeping track of them is essential. Moreover, when the present schema has an adverse effect on performance, it is not always simple to revert to a previous design. Changes to the schema should be saved as different versions so that you can go back to an older version if you need to.

To evaluate the efficacy of the new schema, it can be tested in a staging database that is a replica of the production database. This method of detecting potential performance concerns during an upgrade to a new schema is the safest option available. Additionally, most databases naturally accept versioned schema modifications, making them very user-friendly.

Three, Make Use of Database Logging

Database logs, like application logs, include a lot of useful information. Logs can inform you exactly what was done before an error or failure happened, which is useful for promptly fixing the problem. Logs facilitate understanding of what transpired, cutting down on wasted time and money when fixing bugs.

The next step is to merge trend analysis with traditional database performance monitoring to move from reactive to proactive database management. You may prevent future problems by using trend analysis to spot patterns in your logs and act accordingly.

For instance, someone tries to execute a SQL injection attack. If there are suddenly a lot of failed queries, that could mean something is amiss or that someone is trying to attack the database. Keeping an eye on the trend should show that the number of searches that don’t work is going up quickly.

As you can see, logs from your database provide a wealth of information and aid in database auditing. Information like this can be used to enhance database efficiency even further.

Measuring Crucial KPIs is Step Four

As was mentioned earlier, measuring resources like CPU and memory consumption is crucial. Both are crucial for optimizing database efficiency.

Suppose a query causes a significant increase in CPU consumption. In other words, there is an opportunity for improvement in this area. It’s possible, for instance, that you failed to take a step toward optimizing the speed of your query by creating an index in your database for a certain table.

Yet another illustration of why your database requires additional processing power. Your database’s performance monitoring may suffer if the server also hosts other services. When not given the appropriate amount of CPU time, even the simplest of queries might quickly become prohibitively expensive. Measuring indicators like average CPU utilization and peak CPU usage will provide you with a clearer picture of your CPU workload. It’s important to look into the server’s activity if these figures are high.

The Closing Statement

If you’re responsible for the upkeep and functionality of an application’s infrastructure, then monitoring the database’s performance monitoring is an absolute must. The performance of your application as a whole might be severely impacted by slow queries. Finding the queries that are taking too long is crucial for making the necessary improvements. With the help of database performance monitoring (DPM), problems like this can be found right away.

About Enteros

​Enteros offers a patented database performance management SaaS platform. It proactively identifies root causes of complex business-impacting database scalability and performance issues across a growing number of RDBMS, NoSQL, and machine learning database platforms.