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The State of Service Level Objectives 2022

Quan To
Nobl9

Businesses need happy customers in order to survive, and infrastructure teams need to meet reliability goals efficiently. Large cloud-native companies pioneered the service level objective (SLO) method to create a scalable relationship between operational staff and software services while maintaining customer loyalty and cost controls.

A recent survey of more than 300 IT managers and executives conducted by Dimensional Research and sponsored by Nobl9 titled The State of Service Level Objectives highlights how enterprises are currently using SLOs with their current monitoring and observability tools, and how many are looking to expand their use to achieve even further reliability goals and efficiencies.


The evidence is clear. It's not a question of if enterprises will adopt SLOs, but rather how they will do it. As SLOs grow in popularity, more than 8 out of 10 companies are planning to increase their use. In fact, SLOs are being used to provide visibility into their use of new technologies.

For example, 87% stated using SLOs for microservices would increase their performance. While many would expect SLOs to be used purely for IT operations, the research also shows that increasingly business teams (executives, manufacturing, product teams, R&D, marketing, finance, etc.) are using SLOs.

Most companies have a wide array of observability and monitoring tools

They commonly provide visibility into IT operations, but that data now also provides information directly into the business needs for security, compliance, AI/ML, and other uses. However, even with the large number of monitoring and observability solutions deployed, less than half of the companies surveyed have visibility into all their IT environments, and hybrid-cloud use is compounding the issue. Given the swift adoption of containers and microservices, it was staggering to see just 45% and 35% have visibility into those systems respectively.

SLO adoption has grown

More than 8 out of 10 companies are increasing SLO use. Typically, SLOs are created around user journeys, but now there is an emerging trend of creating SLOs to provide visibility into and to measure new technologies. This trend is supported by the overwhelming 94% that intend to map SLOs directly to business operations, and a significant 91% that indicate SLOs are improving decision making.

SLOs aligned to business operations prevent business impact and disruptions

In fact, more than 6 out of 10 companies indicated that SLOs aligned to business operations have already prevented business impact and disruptions. Given the tremendous value of SLOs, it is of little surprise that 71% of companies not using SLOs today plan to adopt them. In a world where technology quite literally enables and facilitates most businesses, visibility is key, to know what is going on, optimize business operations and decision making, and provide early warning indicators to stave off potential business losses.

One of the biggest sectors in a business that's indicating how SLOs will shape their future is in the security industry. Security is supported by 71% of a company's observability and monitoring tools as reported from the rising pressures to put security as a focal point for the overall well-being of a business, external influences in cybersecurity attacks and reducing liabilities in performance and efficiency are possibilities that cannot be ignored. Over 71% of businesses are monitoring observability tools that support and integrate SLOs for this purpose to counteract these types of plausible scenarios.

Future of SLOs

The 71% of businesses that aren't using SLOs today but plan on adopting them in the future for optimizing business operations are already missing out on minimizing potential business losses through early warning indicators. The outcomes that companies can gain from the use of SLOs may not seem to have much of an impact in the short term, but the importance that SLOs bring to businesses across many industries is increasing.

Quan To is Sr. Director Product Management at Nobl9

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The State of Service Level Objectives 2022

Quan To
Nobl9

Businesses need happy customers in order to survive, and infrastructure teams need to meet reliability goals efficiently. Large cloud-native companies pioneered the service level objective (SLO) method to create a scalable relationship between operational staff and software services while maintaining customer loyalty and cost controls.

A recent survey of more than 300 IT managers and executives conducted by Dimensional Research and sponsored by Nobl9 titled The State of Service Level Objectives highlights how enterprises are currently using SLOs with their current monitoring and observability tools, and how many are looking to expand their use to achieve even further reliability goals and efficiencies.


The evidence is clear. It's not a question of if enterprises will adopt SLOs, but rather how they will do it. As SLOs grow in popularity, more than 8 out of 10 companies are planning to increase their use. In fact, SLOs are being used to provide visibility into their use of new technologies.

For example, 87% stated using SLOs for microservices would increase their performance. While many would expect SLOs to be used purely for IT operations, the research also shows that increasingly business teams (executives, manufacturing, product teams, R&D, marketing, finance, etc.) are using SLOs.

Most companies have a wide array of observability and monitoring tools

They commonly provide visibility into IT operations, but that data now also provides information directly into the business needs for security, compliance, AI/ML, and other uses. However, even with the large number of monitoring and observability solutions deployed, less than half of the companies surveyed have visibility into all their IT environments, and hybrid-cloud use is compounding the issue. Given the swift adoption of containers and microservices, it was staggering to see just 45% and 35% have visibility into those systems respectively.

SLO adoption has grown

More than 8 out of 10 companies are increasing SLO use. Typically, SLOs are created around user journeys, but now there is an emerging trend of creating SLOs to provide visibility into and to measure new technologies. This trend is supported by the overwhelming 94% that intend to map SLOs directly to business operations, and a significant 91% that indicate SLOs are improving decision making.

SLOs aligned to business operations prevent business impact and disruptions

In fact, more than 6 out of 10 companies indicated that SLOs aligned to business operations have already prevented business impact and disruptions. Given the tremendous value of SLOs, it is of little surprise that 71% of companies not using SLOs today plan to adopt them. In a world where technology quite literally enables and facilitates most businesses, visibility is key, to know what is going on, optimize business operations and decision making, and provide early warning indicators to stave off potential business losses.

One of the biggest sectors in a business that's indicating how SLOs will shape their future is in the security industry. Security is supported by 71% of a company's observability and monitoring tools as reported from the rising pressures to put security as a focal point for the overall well-being of a business, external influences in cybersecurity attacks and reducing liabilities in performance and efficiency are possibilities that cannot be ignored. Over 71% of businesses are monitoring observability tools that support and integrate SLOs for this purpose to counteract these types of plausible scenarios.

Future of SLOs

The 71% of businesses that aren't using SLOs today but plan on adopting them in the future for optimizing business operations are already missing out on minimizing potential business losses through early warning indicators. The outcomes that companies can gain from the use of SLOs may not seem to have much of an impact in the short term, but the importance that SLOs bring to businesses across many industries is increasing.

Quan To is Sr. Director Product Management at Nobl9

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From smart factories and autonomous vehicles to real-time analytics and intelligent building systems, the demand for instant, local data processing is exploding. To meet these needs, organizations are leaning into edge computing. The promise? Faster performance, reduced latency and less strain on centralized infrastructure. But there's a catch: Not every network is ready to support edge deployments ...

Every digital customer interaction, every cloud deployment, and every AI model depends on the same foundation: the ability to see, understand, and act on data in real time ... Recent data from Splunk confirms that 74% of the business leaders believe observability is essential to monitoring critical business processes, and 66% feel it's key to understanding user journeys. Because while the unknown is inevitable, observability makes it manageable. Let's explore why ...

Organizations that perform regular audits and assessments of AI system performance and compliance are over three times more likely to achieve high GenAI value than organizations that do not, according to a survey by Gartner ...

Kubernetes has become the backbone of cloud infrastructure, but it's also one of its biggest cost drivers. Recent research shows that 98% of senior IT leaders say Kubernetes now drives cloud spend, yet 91% still can't optimize it effectively. After years of adoption, most organizations have moved past discovery. They know container sprawl, idle resources and reactive scaling inflate costs. What they don't know is how to fix it ...

Artificial intelligence is no longer a future investment. It's already embedded in how we work — whether through copilots in productivity apps, real-time transcription tools in meetings, or machine learning models fueling analytics and personalization. But while enterprise adoption accelerates, there's one critical area many leaders have yet to examine: Can your network actually support AI at the speed your users expect? ...

The more technology businesses invest in, the more potential attack surfaces they have that can be exploited. Without the right continuity plans in place, the disruptions caused by these attacks can bring operations to a standstill and cause irreparable damage to an organization. It's essential to take the time now to ensure your business has the right tools, processes, and recovery initiatives in place to weather any type of IT disaster that comes up. Here are some effective strategies you can follow to achieve this ...

In today's fast-paced AI landscape, CIOs, IT leaders, and engineers are constantly challenged to manage increasingly complex and interconnected systems. The sheer scale and velocity of data generated by modern infrastructure can be overwhelming, making it difficult to maintain uptime, prevent outages, and create a seamless customer experience. This complexity is magnified by the industry's shift towards agentic AI ...

In MEAN TIME TO INSIGHT Episode 19, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA explains the cause of the AWS outage in October ... 

The explosion of generative AI and machine learning capabilities has fundamentally changed the conversation around cloud migration. It's no longer just about modernization or cost savings — it's about being able to compete in a market where AI is rapidly becoming table stakes. Companies that can't quickly spin up AI workloads, feed models with data at scale, or experiment with new capabilities are falling behind faster than ever before. But here's what I'm seeing: many organizations want to capitalize on AI, but they're stuck ...

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