Actively track query execution times, resource utilization, and transaction throughput for each database call, providing real-time insights into the intricate workings of your database.
Find the slowest DB queries by analyzing the respective traces and request details along with dependent services. Also, determine the frequency of database calls for each service to pinpoint those placing the most load on your databases.
Optimize functionality and efficiency by continuously monitoring databases in real-time. By closely tracking query metrics like blocking time, row scanned, rows updated, thread count, and so on to obtain valuable insights into the overall health of your databases.
Track the total throughput of the db queries and identify resource-intensive queries that may lead to memory issues or timeouts. Monitor database query latency and response time diligently to maintain optimal performance, guaranteeing a seamless user experience.
Dive deep into the details of your database transactions, from the moment a trace begins to every step of its execution. Understand the inner workings of your database with clarity, facilitating the identification of potential bottlenecks, optimizing queries, and ensuring a streamlined performance.
Utilize industry-leading integrations with libraries and frameworks for in-depth invisibility into Java, PHP, Node.js, Ruby, Python, Go, .NET applications.
See data from multiple apps in real time and visualize critical information including transaction performance, error rate, database performance, network calls and more.
Quickly identify error and performance issues and fix them by using the context, environment, and more before it affects your customers.
Track all your application workflow in one place. Add your production, dev, staging, QA to monitor your applications through the complete software development cycle.
Get your questions answered. Use custom queries to slice and dice the data by transaction, URL, error, user, browser, host OS and more using performance monitoring.
Designed by developers, for developers and managers to determine when and where your attention is required and enable teams to ship more and fix less.
Setup alerts to automatically monitor your applications for increase in response time, API failures, error rate and much more. Get notified through various channels, including Slack, Teams, Email, PagerDuty and more.
Easily compare one time range to another and so on, and identify changes in app behavior and stability with respect to the app releases.
Don't miss out on your application performance and error stats. Atatus can send you weekly and monthly summaries directly to your inbox.
Database monitoring is the process of observing and analyzing the performance, health, and activity of a database system. It involves tracking metrics such as query performance, resource utilization, and system uptime to ensure optimal functionality. By proactively identifying and addressing issues, database monitoring helps optimize performance, enhance security, and maintain data integrity.
Atatus captures a range of essential metrics for effective Database monitoring, including:
The above db query metrics help users understand the overall health of their databases and identify areas for optimization.
Atatus supports a wide range of popular databases, including but not limited to MySQL, MS SQL, PostgreSQL, MongoDB, MariaDB, Redis, Memcached, Aerospike and SQLite. The platform provides integrations and pre-built dashboards tailored to each supported database, allowing users to monitor and analyze their database performance effectively.
Atatus follows industry-standard security practices. Access control is managed through user roles and permissions. Users can be assigned specific roles with granular access rights to ensure that only authorized individuals have access to sensitive monitoring data. Atatus also supports integrations with identity providers for centralized authentication.
Atatus allows users to define custom alert thresholds in Database Monitoring, ensuring that they receive proactive notifications for potential issues such as high query latency, or replication problems.
Atatus is scalable and capable of monitoring multiple databases such as MySQL, PostgreSQL, MongoDB, Redis, and so on in distributed environments. Users can configure centralized monitoring, providing them with access to aggregated metrics for a comprehensive understanding of their database infrastructure.
Data retention for Database monitoring is set to 7 days by default. This can be changed in your billing settings to 60 or 90 days. Contact our Customer Success Representative if you require a longer retention period.
You don't have to trust our word. Hear what our customers say!
Atatus is a great product with great support. Super easy to integrate, it automatically hooks into everything. The support team and dev team were also very helpful in fixing a bug and updating the docs.
Atatus is powerful, flexible, scalable, and has assisted countless times to identify issues in record time. With user identification, insight into XHR requests to name a few it is the monitoring tool we choose for our SPAs.
Atatus continues to deliver useful features based on customer feedback. Atatus support team has been responsive and gave visibility into their timeline of requested features.
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