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Neon · Const

Monitoring

Neon’s Monitoring dashboard in the Console presents system and database metrics as graphs. Choose a branch and compute, then use the Postgres, Storage, or Functions tabs to inspect the relevant data.

How it works

Neon’s Monitoring dashboard is a console-based view of system and database health. Select a project branch and compute, then inspect categorized graphs and refresh the displayed data when needed.

Key points

  • Monitoring is a Neon Console dashboard with multiple graphs for system and database observability.
  • The interface separates monitoring information into Postgres, Storage, and Functions tabs.
  • Choose the branch from the sidebar’s project/branch menu to set the branch being monitored.
  • Use the Compute drop-down to switch the compute whose metrics are displayed.
  • The RAM graph compares allocated memory with usage over time for the selected compute.
  • The Deadlocks graph tracks deadlock counts over time for the named database.

Common mistakes

  • Metrics are scoped to the currently selected branch and compute, so verify both selections before interpreting graphs.
  • Displayed values are not necessarily refreshed automatically; use Refresh when you need an updated view.

Example: Open the Neon Monitoring dashboard

const monitoringUrl = "https://console.neon.tech";
console.log("Open Neon Console, select a project, then choose Monitoring.", monitoringUrl);

Open the Neon Console, select a project, and access Monitoring from the sidebar to inspect metrics for a selected branch and compute.

When to use it

Inspect CPU and RAM usage

Diagnosing resource pressure

Review connection counts and deadlocks

Investigating database connectivity

Examine size, row changes, replication delay, and cache hit rate

Checking database behavior

Interview questions

QWhat is Neon’s Monitoring dashboard?

The Monitoring dashboard is accessed from the Neon Console sidebar. It organizes observability data into Postgres, Storage, and Functions tabs and displays metrics for a selected branch and compute.

Follow-up: How would you change the scope of the displayed data? Select another branch from the project/branch menu and switch computes with the Compute drop-down.

QWhat kinds of data can the dashboard show?

The dashboard provides graphs for system and database metrics, including RAM, CPU, connection counts, database size, deadlocks, row changes, replication delay, and cache hit rate. These metrics help investigate resource use and database behavior.

Follow-up: Which metric would help investigate connection saturation? Inspect the Postgres connections count graph, which separates idle, active, and total direct connections.

QWhat does the Postgres connections count graph measure?

The Postgres connections count graph reports idle, active, and total connections directly to the Postgres database over time for the selected compute. This distinguishes connection state while examining connection usage.

Follow-up: How can the displayed connection data be brought up to date? Press the dashboard’s Refresh button after selecting the required scope.

  • Postgres connections count
  • RAM
  • Deadlocks
  • Query performance
  • Active Queries
  • Metrics and logs reference

Source: Monitoring dashboard - Neon Docs. Checked 2026-10-16.