Postgres Monitoring
PostgreSQL is an open-source database system for mission-critical applications, but maintaining its performance can be challenging due to slow queries, locks, and resource contention. Applications Manager offers comprehensive Postgres monitoring by tracking key performance metrics and diagnosing issues to ensure optimal database health, thereby minimizing downtime and ensuring reliable application performance.
Ensure optimal performance of Postgres database with 24x7 Postgres monitoring
To effectively monitor Postgres performance, it's crucial to have visibility over several key metrics. Our Postgres database monitoring tool allows you to:
- Monitor active connections: The number of active connections impacts server performance. Keep track of the current connection count and analyze user sessions to terminate idle ones that unnecessarily slow down the server.
- Analyze response times: High response times in the database indicate a decline in performance. If response times are increasing, analyze long-running queries to identify potential issues.
- Track disk usage: Monitor PostgreSQL disk usage statistics to analyze server efficiency. Rapid increases in disk usage may suggest frequent access to storage, slowing down the network. You may have to investigate why data retrieval isn't happening from the cache.
Identify queries that contribute to slow performance
Monitor Postgres queries to gain insights into your database workload. Proactive PostgreSQL query monitoring ensures a smooth-running database environment and a positive user experience for applications relying on it. Applications Manager's Postgres queries monitoring capabilities allows you to obtain about:
- Top 10 queries by CPU: Monitoring the top CPU-consuming queries helps identify which queries are taxing your server resources the most. Analyze these queries so you can optimize them to reduce CPU usage and enhance overall performance.
- Long-running queries: Tracking long-running queries is essential to prevent them from degrading database performance. Identify and optimize these queries to improve response times and resource utilization significantly.
- Top 50 table row details: Obtain detailed insights into the top 50 queries to get a comprehensive overview of your database activity. This can help in pinpointing non-essential queries running in the background, allowing you to isolate and address them to prevent performance degradation.
Keep track of sessions
PostgreSQL sessions can become blocked due to various reasons, such as idle transactions, concurrent access to the same resource, or prepared transactions. With Application Manager's PostgreSQL monitoring software, you can identify blocked sessions and understand the underlying causes to resolve them before they impact performance. Keep an eye on the number of active sessions and pinpoint which sessions or queries are taking longer than expected. Analyze session behavior to detect slow queries and other activities that may be causing delays.
Optimize database performance by tracking buffer statistics
Gain insights into database performance by tracking critical buffer statistics.
- Cache Hit Ratio: Measure the efficiency of your database cache by calculating the ratio of cache hits to lookups. A higher percentage indicates better performance.
- Block Reads/Minute: Track the number of times data is read from disk. High values might indicate cache inefficiency or excessive data access.
- Buffer Reads/Minute: Monitor the overall cache utilization by tracking the number of cache hits per minute.
Visit our page on PostgreSQL performance tuning for information on the different performance configurations within your Postgres database server along with recommendations for tuning.
Monitor web transactions in your Postgres database
- Track the number of commits and rollbacks happening every minute to effectively monitor your Postgres database. A high frequency of these transactions might indicate the need for backup servers to maintain availability.
- Ensure efficient load distribution by redirecting read operations to backup servers during critical transactions, while write/commit operations are performed on the main server.
Detect out-of-sync replicas
- Utilize Postgres' streaming replication to maintain high availability, balance read-only queries, and execute analytical queries.
- Detect replication delays and out-of-sync replicas by monitoring replication slots that track the last LSN (Log Sequence Number) received by a connected replica. This ensures that WAL files are not removed by the primary PostgreSQL instance before the replica receives them.
- Keep track of scheduled and requested checkpoints to ensure low I/O loads, preventing performance bottlenecks.
Monitor Postgres database locks
- Receive real-time updates on current locks in the system and identify long-waiting locks through the Postgres monitoring dashboard.
- Address high numbers of long-held locks that can disrupt the normal behavior of the database by reviewing and optimizing the related code lines.
Looking to perform extensive Postgres monitoring?
Explore the features of Postgres performance monitoring on your own. Applications Manager is easy to use and you can start monitoring in just a few minutes!
More on Postgres monitoring:
What is Postgres monitoring?
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Postgres monitoring is the act of tracking and monitoring the PostgreSQL databases and it's related metrics, in order to single out performance issues and degradations in advance, and resolve them before it affects the users.
Why do you need a Postgres monitoring tool?
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A PostgreSQL performance monitoring tool helps data admins ensure guarantee uninterrupted long-term operations with negligible downtime and predictable overheads on the servers. Since Postgres databases are critical resources on which several applications depend, it's necessary to employ a dedicated Postgres monitoring software to ensure its health and performance.
How to monitor postgres performance?
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With the help of robust Postgres monitoring tools like Applications Manager, you can monitor the critical parameters and KPIs associated with the optimal running of Postgres databases.
