Composite Service Level Objectives 2.0 Now Available

It's Service Level Objectives (SLOs) all the way down!

We've taken your feedback, and are extremely excited to announce version 2.0 of our Composite SLOs feature!

Originally launched back in 2022, Composite SLOs provide Nobl9 customers with an extremely powerful, unique tool to create a holistic view of an application, region, shared service, or any other group of resources within your organization. This is accomplished by building SLOs of SLOs - effectively, taking your existing single-data-stream Service Level Objectives, grouping them together, weighting them based on that specific metric's impact on the actual user experience, and then creating a single SLO that represents the health of your tracked system.

For example, an ecommerce application may have dozens to hundreds of SLOs tracking key metrics for specific resources. You may have raw requests, latency, and request success rate for internal shared services like shopping carts and inventory databases, infrastructure, third-party services like payment gateways, web interfaces, and more. The success of each of these individual SLOs is key to ensuring your shoppers enjoy a seamless experience - but at the same time, the degree to which each individual SLO impacts that experience can be dramatically different.

Combining these key metric SLOs - which may come from multiple data sources in different raw formats - into a single indicator of system health is almost impossible to do without Nobl9's composite SLOs. We make it easy to group key SLOs together, define each one's impact on the user experience, and monitor the entire representation of your application stack as a single, holistic, single-pane-of-glass, and all the other buzzwords view of system reliability and health.

Intrigued? Schedule a demo of Nobl9 and we'll be happy to show you how it works and how you can leverage this unique tool to ensure that your users are enjoying a reliable, seamless experience every time they engage with your organization (because if they aren't, then they aren't sticking around).

In the meantime, check out how we use composite SLOs ourselves to manage the reliability of our complex SLI data processing pipeline, and check out the Composite SLO 2.0 introduction video.