It is the internet and related technologies, eating the world over the last decades. Data is not the new goldmine of enterprises to optimize their performance based on data-driven insights. With each passing year, humanity is producing more and more bites of data than ever before. Data-driven technologies running the modern world and the vital part of this ingenious machinery are databases. As the most crucial part of any enterprise operations, taking care of the database is the most critical aspect of technology administration in any business process.
We have discussed different aspects of database architecting and maintaining in many other articles before. Here we will discuss the importance of real-time database monitoring and the most relevant and advanced tools used for the same. Here, we will walk you through the most critical aspects of real-time database monitoring and prepare a good ground for it with the help of tools.
Database monitoring is a critical process of monitoring a database’s performance. Keeping a close track of the most relevant performance metrics of a database will allow you to identify the pitfalls in it and improve those for better output from the database operations. In the fast-paced business operations, it is essential to keep the database as quick and reliable.
As the database is the center of any technological operations in enterprises, any enhancement in terms of database performance will instantly resonate across all levels of the technology system to improve the user experience and the application infrastructure. An ideal database monitoring approach will analyze several variables to prevent or minimize the unavailability and other types of data security risks.
The process of database monitoring will typically track the data storage and movements in real-time so that the administrators and other users involved can instantly identify the problems, diagnose, and fix the issues before they start to disturb the client users. Database monitoring tools will take snapshots of the performance metrics set and also enable alerts when any problems appear at the first point. Some of the advanced tools will even put forth effective solutions, making the troubleshooting tasks easier for the DBAs.
As discussed above, databases function as the backbone of any technological operations of the information era. This means the performance and efficiency of databases are crucial for the success of any enterprise. In turn, poor database efficiency is simply poor performance and output. In business enterprises, their application’s poor performance will end up in customer dissatisfaction and, ultimately, business failure.
To avoid this, one should always make sure that the database performs correctly on top of everything else. This is where a robust monitoring approach becomes essential. The key takeaways of professional database monitoring are:
Enterprises database users may seek for professional database monitoring services. For expert database monitoring consulting, get in touch with RemoteDBA.com expert. Here are some conventional approaches to database monitoring.
As we had seen above the basic database monitoring approaches can be divided into two as:
Being proactive, we closely monitor the database to look for any early warning signs and address those before they become hazardous. On the other hand, the reactive approach is all about alleviating the troubles after these causes the harm. Even though a responsive approach is the only possibility in some cases of incident response, proactive is always the ideal choice. For proactive database monitoring, the essential part is to track the most critical metrics of a database system.
The majority of the performance issues may be related to inefficient queries in SQL. The problems may be like the tables lack proper indexing or inefficient joins etc.
Hardware is the housing of everything. So, it is crucial to track the metrics related to hardware components like memory, processing power, free and available disk, proper configurations, etc.
There may be multiple users accessing the database concurrently in typical database scenarios, so there should not be any conflict in the queries and simultaneous activities.
A new version of the application or hardware change everything can affect the database. Modified objects can also cause performance issues, which should be tracked.
Monitoring the replication latency type of throughput matrix is also crucial to identify any database anomalies. You can quickly identify their standard value by following such metrics.
Along with these, it is also essential to monitor the availability of resources and consumption of the same, tracking the database logs, etc.
Here are some tops options in the latest database monitoring tools.
This is a top tool now for network administrators, which can recognize database response time and also help improve the SQL query performance. The root cause analysis also covers SQL statements, system health, wait-basis analytics, response time, etc.
Paessler PRTG Network Monitor can closely monitor the databases like MySQL, Oracle, Microsoft SQL Server, PostgreSQL, etc. It can keep a close track of cloud service databases, web service DBs, and network metrics like traffic, packets, IPs, etc.
This is not a dedicated tool for database monitoring. Being a cloud-based tool, it can monitor network capabilities, servers, and also applications. Along with monitoring, Site24x7 has a performance optimizer features too coming packed with server monitoring toolkit.
This toolset is popular being a zero-impact DB monitoring option. A lightweight and straightforward toolkit, which offers an overview of the database performance to the users. This tool keeps track of various metrics like SQL wait time, SQL wait conditions, deadlocks, blocking, I/Q stall, disk usage, etc.
You can also find more database monitoring tools for all use cases, preferences, and budget. So, if you do not want your valid customers to become former customers, it is high time to adopt an effective monitoring mechanism for your enterprise database to optimize its performance and avoid failure.
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