This post was written by Natalia Sikora-Zimna, Product Owner at Nobl9


Amazon CloudWatch has recently launched Metrics Insights – a fast, flexible, SQL-based query engine that lets customers identify trends and patterns across millions of operational metrics in real time. Metrics Insights allows customers to easily query and analyze metrics to gain better visibility into the health and performance of their infrastructure and large-scale applications.

Nobl9 and Amazon Web Services (AWS) have collaborated to extend the existing Nobl9 CloudWatch integration with CloudWatch Metrics Insights (Preview). This will help users to retrieve metrics even faster and gain added flexibility in querying raw service level indicator (SLI) data to use for your SLOs.

Nobl9 launched the first version of its CloudWatch integration in September 2021, giving customers a versatile tool to monitor their products. CloudWatch collects data from over 70 AWS services, thereby providing AWS users with access to valuable infrastructure metrics. In addition, users can create their own custom metrics. Moreover, Nobl9’s CloudWatch integration provides customers with the power to translate these metrics into actionable SLOs. This means that companies have all of the information that they need to maintain a balance between cost and reliability, and to keep their customers happy.

CloudWatch Metrics Insights takes the SLO game to the next level. It’s an innovative analytics tool that works for both types of CloudWatch metrics: infrastructure and custom. The introduction of this feature lets Nobl9 customers benefit from using a powerful, SQL-based query engine for grouping, aggregating, and filtering metrics by labels in real time. This also helps them better organize their business insights. Furthermore, it gives users broad possibilities in defining metrics and choosing the granularity of insights that best fits their needs.

Metrics Insights comes with a query builder that lets customers select their metrics of interest, namespaces, and dimensions visually. Then the console automatically constructs Metrics Insights SQL queries based on their selections. Metrics Insights also provides a SQL query editor, where customers can type in raw SQL queries or edit the ones that they’ve created earlier and get down to the finest level of granular detail. Note that CloudWatch Metrics Insights comes with auto-completion support, which gives smart suggestions throughout the composition of the queries.

Once customers create their SQL queries, they can use them in the Nobl9 platform to set up SLOs that provide actionable data about multiple aspects of their business. Nobl9 keeps the integration as simple as possible: just choose the data center’s Region, and paste in the metric SQL query, exactly as it was created in CloudWatch.

SLO wizard, step two "Select data source and metric". "SQL" selected under "Threshold metric" showing SQL query box.

CloudWatch Metrics Insights is available in all AWS Regions, except China.

If you’d like to learn more about Nobl9 and SLOs, then visit nobl9.com. If you’d like to try out the Nobl9 console and see how it can help your business, then sign up for a free 30-day trial.

To learn more about Metrics Insights, please refer to the CloudWatch Metrics Insights documentation.


The content and opinions in this blog are those of the third-party author and AWS is not responsible for the content or accuracy of this blog.

About the author

Natalia Sikora-Zimna

Natalia Sikora-Zimna is a Product Owner at Nobl9, a company behind the fast-growing software reliability platform. She enjoys collaborating with cross-functional teams to solve complex problems for the customers. Prior to joining Nobl9 in the noble pursuit of reliable software, she spent 10 years developing, publishing and managing various products for one of the world’s largest educational companies. Outside of work, you can find her hiking in the mountains, working on another art piece at a printing workshop, or playing video games.