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Nobl9 Introduces Composite SLO 2.0

Nobl9 announced Nobl9 Composite SLO 2.0 to allow for the aggregation of multiple Service Level Objectives (SLOs) within a single SLO to provide an overall reliability performance view of your service.

The addition of composites allows users to capture an end-to-end user journey for a complex service such as an ecommerce website or a digital banking platform.

Composite SLO 2.0 unlocks SLOs at scale, differentiated by business units or use cases, enabling IT leaders to link their strategy directly to business impact. Teams at different levels of an organization can combine the disparate elements of their projects into composite SLOs. In turn, managers can aggregate these composites into a unified overarching hierarchy — a composite built of composites — to view the system’s performance holistically, with rich context of each component’s behavior easily accessible in a single dashboard.

Before Composite SLO 2.0, engineers could create SLOs to track the reliability of system components they were directly responsible for; for example, an infrastructure engineer might build an SLO for their servers. While traditional SLOs offer important insight, they lack information on how an element affects the total reliability of a complex system. Composite SLO 2.0 brings this critical context, allowing teams to link individual elements into a dynamic system-wide SLO and see how their small portion of the system is impacting end-user experience. Providing such perspective not only informs IT decision-making but shows engineers, even those building small pieces of the backend, how meaningful their work is to overall customer experience.

Nobl9 is partnering with a growing ecosystem of data sources such as Datadog, Splunk, Google BigQuery, and Amazon CloudWatch to offer maximum value to its customers, who often utilize a wide variety of monitoring and observability tools. Nobl9 collects and normalizes data from these various systems, and contextualizes it in a user-friendly dashboard, so customers can simply log into Nobl9 and build SLOs with relevant data from anywhere.

Nobl9 Composite SLO 2.0 allows users to:

- Create composites from a large number of SLOs — Aggregate SLOs from many components of a system into a single hierarchy, giving teams and executives a reliability metric for their entire product or service.

- Combine data from different data sources and projects — Unite SLOs based on data from Dynatrace, Amazon CloudWatch, and other sources for enhanced flexibility, enabling more management-oriented SLOs tailored to each ongoing project.

- Easily identify the biggest sources of error budget burn — Observe the behavior of complex systems and drill down into the error budget consumption of each component to understand root causes of issues.

- Assign weights to component SLOs — Adjust the “weight” of each SLO to ensure that SLOs with larger impact on the user experience contribute more to error budget burn; and,

- Build composites out of other composites — Receive unified reliability metrics by building composite SLOs of near-infinite size and complexity out of any existing composites.

“Composite SLO 2.0 is the culmination of a years-long effort to support anyone responsible for reliable products with the most advanced SLO capabilities possible. Anyone who uses SLOs can now understand how they are steering the ship that stakeholders care about,” said Brian Singer, co-founder and Chief Product Officer, Nobl9. “Composite SLOs behave just like normal SLOs, but provide management with a detailed overview of reliability cascading down to the smallest element. We hope this will give engineers pride in their work, because they will understand how their efforts directly impact end-users, and by extension the health of their company.”

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Nobl9 Introduces Composite SLO 2.0

Nobl9 announced Nobl9 Composite SLO 2.0 to allow for the aggregation of multiple Service Level Objectives (SLOs) within a single SLO to provide an overall reliability performance view of your service.

The addition of composites allows users to capture an end-to-end user journey for a complex service such as an ecommerce website or a digital banking platform.

Composite SLO 2.0 unlocks SLOs at scale, differentiated by business units or use cases, enabling IT leaders to link their strategy directly to business impact. Teams at different levels of an organization can combine the disparate elements of their projects into composite SLOs. In turn, managers can aggregate these composites into a unified overarching hierarchy — a composite built of composites — to view the system’s performance holistically, with rich context of each component’s behavior easily accessible in a single dashboard.

Before Composite SLO 2.0, engineers could create SLOs to track the reliability of system components they were directly responsible for; for example, an infrastructure engineer might build an SLO for their servers. While traditional SLOs offer important insight, they lack information on how an element affects the total reliability of a complex system. Composite SLO 2.0 brings this critical context, allowing teams to link individual elements into a dynamic system-wide SLO and see how their small portion of the system is impacting end-user experience. Providing such perspective not only informs IT decision-making but shows engineers, even those building small pieces of the backend, how meaningful their work is to overall customer experience.

Nobl9 is partnering with a growing ecosystem of data sources such as Datadog, Splunk, Google BigQuery, and Amazon CloudWatch to offer maximum value to its customers, who often utilize a wide variety of monitoring and observability tools. Nobl9 collects and normalizes data from these various systems, and contextualizes it in a user-friendly dashboard, so customers can simply log into Nobl9 and build SLOs with relevant data from anywhere.

Nobl9 Composite SLO 2.0 allows users to:

- Create composites from a large number of SLOs — Aggregate SLOs from many components of a system into a single hierarchy, giving teams and executives a reliability metric for their entire product or service.

- Combine data from different data sources and projects — Unite SLOs based on data from Dynatrace, Amazon CloudWatch, and other sources for enhanced flexibility, enabling more management-oriented SLOs tailored to each ongoing project.

- Easily identify the biggest sources of error budget burn — Observe the behavior of complex systems and drill down into the error budget consumption of each component to understand root causes of issues.

- Assign weights to component SLOs — Adjust the “weight” of each SLO to ensure that SLOs with larger impact on the user experience contribute more to error budget burn; and,

- Build composites out of other composites — Receive unified reliability metrics by building composite SLOs of near-infinite size and complexity out of any existing composites.

“Composite SLO 2.0 is the culmination of a years-long effort to support anyone responsible for reliable products with the most advanced SLO capabilities possible. Anyone who uses SLOs can now understand how they are steering the ship that stakeholders care about,” said Brian Singer, co-founder and Chief Product Officer, Nobl9. “Composite SLOs behave just like normal SLOs, but provide management with a detailed overview of reliability cascading down to the smallest element. We hope this will give engineers pride in their work, because they will understand how their efforts directly impact end-users, and by extension the health of their company.”

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AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...

According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...

2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...

Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...

An overwhelming majority of IT leaders (95%) believe the upcoming wave of AI-powered digital transformation is set to be the most impactful and intensive seen thus far, according to The Science of Productivity: AI, Adoption, And Employee Experience, a new report from Nexthink ...

Overall outage frequency and the general level of reported severity continue to decline, according to the Outage Analysis 2025 from Uptime Institute. However, cyber security incidents are on the rise and often have severe, lasting impacts ...