/plushcap/analysis/datadog/datadog-optimize-postgresql-performance-with-datadog

Optimize PostgreSQL performance with Datadog Database Monitoring

What's this blog post about?

Datadog Database Monitoring (DBM) offers comprehensive visibility into PostgreSQL databases beyond core performance metrics. It enables developers, SREs, and database analysts to monitor data models and schemas, view database configuration settings for fine-tuning, and track database and query health from overviews to specific insights. DBM's Schema Explorer provides centralized access to schema and table definitions, relations, and tuning recommendations across all databases. It also allows users to explore and inspect their database schemas without needing direct access to the individual database host or instance. Additionally, Datadog DBM ingests database settings and configurations from PostgreSQL databases, enabling teams to compare current settings with known good configurations during incident response. Furthermore, DBM provides a holistic view of metrics related to the performance of your database's underlying hosts and processes by visualizing telemetry ranging from core system metrics to database-specific telemetry such as vacuum operations, lock activity, and index usage. This helps maintain a shared context and understanding of databases for application engineers and database administrators. DBM also allows deeper analysis into load patterns with a single panel that provides an overview on what's driving load by visualizing active connections by SQL query, wait event, user, database, client, or application, with database and query filtering. This makes it easy to quickly see what's driving, for example, a spike in I/O wait events, whether it's a single query or multiple queries on a single database. With automated performance degradation detection and remediation recommendations, Datadog reduces the manual effort required to maintain a database, allowing teams to spend more time building applications and less time troubleshooting database issues.

Company
Datadog

Date published
June 28, 2024

Author(s)
Jonathan Morin, Jason Manson-Hing

Word count
1372

Hacker News points
None found.

Language
English


By Matt Makai. 2021-2024.