Database monitoring on a proactive basis is necessary to ensure that databases are available for supporting business processes and functions. Database monitoring from Altnix provides performance analysis and trends which in turn can be used for fine tuning the database architecture and queries, thereby optimizing the database for your business requirements.
Benefits of Database Monitoring
|Availability and Uptime Guarantee: Database monitoring ensures that the database is available for business continuity purposes. Even a few minutes of downtime on the database can lead to heavy business losses, especially for organizations that are heavily reliant on real-time availability of databases.|
|Performance Analysis : Database performance monitoring allows you to understand the performance of your databases. You can understand performance bottlenecks in your databases and explore ways to improve performance through performance tuning techniques|
|Trending Analysis and Future Planning: Using performance and usage trends, database monitoring tools can help in gaining insight into how databases are being used in your business environment. Further, trends can be used for future planning and upgrades on a proactive basis so that you are prepared for business growth.|
Database Monitoring Solution
Altnix provides database monitoring solutions for a variety of databases including the leading industry databases Oracle, MS SQL, MySQL, DB2 and Sybase databases.
Database monitoring from Altnix is available as on-premise monitoring implementation as well as in the form of Monitoring as a Service (MaaS) offering.
Altnix monitoring solutions support the following databases
|Open Source Databases|
Database Health Checkup
Database monitoring is a critical part of database health checkup for any database. Using continuous database monitoring, it is possible to identify performance bottlenecks for a database during real-time usage. Database monitoring also provides trends and usage patterns which in turn can be used for performance tuning and query optimization of databases.