Monitor MongoDB Memory Usage

Monitor and analyze MongoDB memory usage metrics

Gain insights on MongoDB memory usage, cache statistics, page read into cache, pages evicted, volume of disk reads, and more at both the system and database level
Avoid insufficient usage of indexes, which can result in long queries and overwhelm the server’s ability to handle requests in the case of numerous concurrent ones
Identify memory allocation issues that can directly affect the end user and lead to downtime

Proactively track MongoDB memory usage

Monitor physical and virtual memory to improve latency and overall throughput
Visualize page fault trends to identify inefficient schema design, redundant or unnecessary indexes, or unnecessary use of available RAM
Optimize the amount of space utilized by cached and dirty data to identify memory available to be allocated

Ensure MongoDB memory availability and utilization

Optimize query performance to reduce MongoDB memory usage and execution time
Set alerts on memory usage to notify on-call teams about resource saturation, spot bottlenecks, and know when to scale up or out
Ensure the cache is big enough to hold the entire application working set for adequate WiredTiger storage engine performance

Achieve full visibility into MongoDB memory usage

Correlate MongoDB performance metrics with the rest your application data and logs to gain deeper insights on database behavior
Visualize key MongoDB metrics with Datadog’s out-of-the-box dashboard
Apply sophisticated ML-based alerting to take corrective actions if a memory failure is detected
Quickly identify memory issues, resource and locking saturations, cache usage, and latency breakdowns with anomaly and outlier detection