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Amazon CloudWatch Database Insights

Score9.5 out of 10

4 Reviews and Ratings

What is Amazon CloudWatch Database Insights?

Amazon CloudWatch Database Insights is a database performance monitoring and troubleshooting feature of Amazon CloudWatch. It helps users assess the load on a database and determine when and where to take action. It supersedes Amazon RDS Performance Insights, which reached its end-of-life date on July 31, 2026, after which AWS migrated Performance Insights users to Database Insights. Database Insights keeps the database load dashboard, which helps non-experts detect performance problems by filtering load by waits, SQL statements, hosts, or users. It adds fleet-level monitoring and a second, more detailed mode.

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Categories & Use Cases

Who Buys & Uses Amazon CloudWatch Database Insights (formerly RDS Performance Insights)

Most Frequent Users

Top 3 industries using Amazon CloudWatch Database Insights (formerly RDS Performance Insights).

Based on HG Insights installation data
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#1 most frequent

Information

32.4%

12 installations of 37

#2 most frequent

Professional, Scientific, and Technical Services

21.6%

8 installations of 37

#3 most frequent

Finance and Insurance

8.1%

3 installations of 37

Amazon CloudWatch Database Insights Reviews

What users are saying about Amazon CloudWatch Database Insights.
View all Amazon CloudWatch Database Insights reviews

Seamless and Efficient Database Monitoring out of box tool

Incentivized
Fabricio Zubelli
DevOps Engineer in Engineering at Kea (51-200 employees)

Use Cases and Deployment Scope

We leverage Amazon RDS Performance Insights to better understand the load on our Postgres RDS instance and to find queries or jobs with room for improvement in regards to performance. Amazon RDS Performance Insights also brings a lot of out of the box metrics and data that help us make decisions on how to break our DB management and how to scale it.

Pros

  • RDS Infrastructure Metrics
  • RDS Logical Metrics
  • Real time visualization of query load
  • Identify Performance Bottlenecks
  • Historical Performance Analysis of load

Cons

  • Easier way to identify to which service the query comes from
  • Easier way to identify correlation between metrics
  • More customization, right now it is too restricted
  • The interval could be smaller between data points for peaks of usage

Return on Investment

  • Help Optimize Query and app performance
  • Help better plan capacity for the DB
  • Improved the company capacity on troubleshooting problems in DBs

Alternatives Considered

Prometheus and Datadog

Other Software Used

Datadog, HashiCorp Vault, Amazon Redshift