Skip to main content

4 Important Findings from Global SRE Pulse 2022 and What They Mean

Eveline Oehrlich
DevOps Institute

SRE is quickly becoming the standard for IT transformation journeys. According to DevOps Institute's Global SRE Pulse 2022, 62% of organizations across the globe are adopting SRE in various ways — (55% in specific teams, services or products; 19% across the entire organization; and, 23% as a pilot).


For organizations to be successful with SRE, they must also transform the culture and human side within their organization. This cultural shift and new way of thinking must happen across IT and the business. The Global SRE Pulse 2022 report offers a deep look into the state and trends that are shaping SRE now and looking forward. With more than 460 survey responses from SRE professionals at organizations of all sizes, we've identified four top takeaways from the Global SRE Pulse report:

SRE is an Essential Engineering Function for Digital Transformation

SRE enhances development and operations collaboration. The outcome is more reliable systems, services and/or applications. This leads to an improvement of business value of services and applications created and improves the relationship between IT and the business. As existing software stacks only get more complex, organizations look to SRE to establish better collaboration between development and operations teams, while continuously improving the reliability and health of applications and services, ultimately optimizing their customer experience.

The survey asked where SRE is currently leveraged: the software the company builds or the set of services SRE teams interact with. Fifty-six percent (56%) of respondents said they leverage SRE for operating their Systems of Engagement (SOE) and 42% for their Systems of Record (SOR). Of the survey respondents, 52% who have adopted SRE described their company as a leader across customer experience, product quality, offerings, processes, services, and innovation.

What this means:

SRE is an essential operating model to improve both back-end (SOR) and front-end (SOE) services and applications, aiding organizations in accelerating their digital transformation. Other models such as DevOps are supported through the SRE engineering function as it eliminates toil and improves automation across a variety of essential processes such as incident, change, configuration and capacity management.

SRE Adoption Includes Challenges and Complexities

According to Global SRE Pulse 2022, a lack of staff with the necessary skill set essential to work as an SRE is the biggest challenge that organizations face, no matter what size. Eighty-five percent (85%) of survey respondents said they lack staff with the necessary skills to work as an SRE when implementing it.

Survey respondents also noted other challenges such as "value of SRE is not understood" (71%); "don't have time to implement SRE" (53%); "lack of tools in place" (55%); and, "lack of management support" (44%).

Process issues and new releases create the biggest sources of toil, according to the study. For SRE members, eliminating toil across different processes is a key point of focus. According to the survey, 27% of respondents cite process issues as the top source of toil. Another 19% cites the releases of new applications as the main source of toil. For a digital business, the revenue is directly tied to the value the software provides.

What this means:

The SRE operating model, and its critical success factors, must be presented showing benefits and routes to value so that the necessary adjustments within the organization around upskilling or reskilling can be made. Once the practice is established, measurements of its success through key performance indicators (KPI) such as improved adherence to Service Level Agreements (SLA), improvements around Service Level Objectives (SLO) and other KPIs can accelerate its adoption.

Observability and Monitoring Platforms Are in Demand

The second most adopted automation tools are observability and monitoring platforms. Seventy-two percent (72%) of survey respondents indicated they are currently implementing and continuously implementing observability and monitoring tools. This is a good indication that observability and monitoring strategies are starting to bear fruits.

However, for effective observability, organizations must adopt it everywhere and today, only 29% of survey respondents report the leverage of observability tools and techniques everywhere.

What this means:

While many organizations still leverage fragmented monitoring approaches across their organization, it results in limited insights into the performance of modern hybrid cloud applications and other business-critical resources. This fragmented approach challenges progress in the digital transformation. Observability should be adopted holistically to infer the outputs through observing the internal states of a system.

The SRE Job Market is HOT

Site Reliability Engineering continues to be a top IT job. More than 50% of respondents said they had expanded their skills and capabilities in the SRE role.

Further, 44% strongly agreed that they are more engaged and excited about their SRE role and 36% strongly agree that they are more valued as a team member.

34% feel more valued and appreciated.

Additionally, respondents revealed that the SRE role tends to get higher pay. Fifty-two percent (52%) of respondents revealed that they agree (strongly, or somewhat) that their compensation has improved.

What this means:

Today, SRE is an essential engineering function providing great fulfillment, pay and opportunities to learn. As organizations adopt it more widely across their organizations, there is a need — and opportunity — for more skilled SRE professionals to help improve processes and establish a more collaborative culture across the organization.

Eveline Oehrlich is Chief Research Officer at DevOps Institute

Hot Topics

The Latest

Payment system failures are putting $44.4 billion in US retail and hospitality sales at risk each year, underscoring how quickly disruption can derail day-to-day trading, according to research conducted by Dynatrace ... The findings show that payment failures are no longer isolated incidents, but part of a recurring operational challenge that disrupts service, damages customer trust, and negatively impacts revenue ...

For years, the success of DevOps has been measured by how much manual work teams can automate ... I believe that in 2026, the definition of DevOps success is going to expand significantly. The era of automation is giving way to the era of intelligent delivery, in which AI doesn't just accelerate pipelines, it understands them. With open observability connecting signals end-to-end across those tools, teams can build closed-loop systems that don't just move faster, but learn, adapt, and take action autonomously with confidence ...

The conversation around AI in the enterprise has officially shifted from "if" to "how fast." But according to the State of Network Operations 2026 report from Broadcom, most organizations are unknowingly building their AI strategies on sand. The data is clear: CIOs and network teams are putting the cart before the horse. AI cannot improve what the network cannot see, predict issues without historical context, automate processes that aren't standardized, or recommend fixes when the underlying telemetry is incomplete. If AI is the brain, then network observability is the nervous system that makes intelligent action possible ...

SolarWinds data shows that one in three DBAs are contemplating leaving their positions — a striking indicator of workforce pressure in this role. This is likely due to the technical and interpersonal frustrations plaguing today's DBAs. Hybrid IT environments provide widespread organizational benefits but also present growing complexity. Simultaneously, AI presents a paradox of benefits and pain points ...

Over the last year, we've seen enterprises stop treating AI as “special projects.” It is no longer confined to pilots or side experiments. AI is now embedded in production, shaping decisions, powering new business models, and changing how employees and customers experience work every day. So, the debate of "should we adopt AI" is settled. The real question is how quickly and how deeply it can be applied ...

In MEAN TIME TO INSIGHT Episode 20, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA presents his 2026 NetOps predictions ... 

Today, technology buyers don't suffer from a lack of information but an abundance of it. They need a trusted partner to help them navigate this information environment ...

My latest title for O'Reilly, The Rise of Logical Data Management, was an eye-opener for me. I'd never heard of "logical data management," even though it's been around for several years, but it makes some extraordinary promises, like the ability to manage data without having to first move it into a consolidated repository, which changes everything. Now, with the demands of AI and other modern use cases, logical data management is on the rise, so it's "new" to many. Here, I'd like to introduce you to it and explain how it works ...

APMdigest's Predictions Series continues with 2026 Data Center Predictions — industry experts offer predictions on how data centers will evolve and impact business in 2026 ...

APMdigest's Predictions Series continues with 2026 DataOps Predictions — industry experts offer predictions on how DataOps and related technologies will evolve and impact business in 2026. Part 2 covers data and data platforms ...

4 Important Findings from Global SRE Pulse 2022 and What They Mean

Eveline Oehrlich
DevOps Institute

SRE is quickly becoming the standard for IT transformation journeys. According to DevOps Institute's Global SRE Pulse 2022, 62% of organizations across the globe are adopting SRE in various ways — (55% in specific teams, services or products; 19% across the entire organization; and, 23% as a pilot).


For organizations to be successful with SRE, they must also transform the culture and human side within their organization. This cultural shift and new way of thinking must happen across IT and the business. The Global SRE Pulse 2022 report offers a deep look into the state and trends that are shaping SRE now and looking forward. With more than 460 survey responses from SRE professionals at organizations of all sizes, we've identified four top takeaways from the Global SRE Pulse report:

SRE is an Essential Engineering Function for Digital Transformation

SRE enhances development and operations collaboration. The outcome is more reliable systems, services and/or applications. This leads to an improvement of business value of services and applications created and improves the relationship between IT and the business. As existing software stacks only get more complex, organizations look to SRE to establish better collaboration between development and operations teams, while continuously improving the reliability and health of applications and services, ultimately optimizing their customer experience.

The survey asked where SRE is currently leveraged: the software the company builds or the set of services SRE teams interact with. Fifty-six percent (56%) of respondents said they leverage SRE for operating their Systems of Engagement (SOE) and 42% for their Systems of Record (SOR). Of the survey respondents, 52% who have adopted SRE described their company as a leader across customer experience, product quality, offerings, processes, services, and innovation.

What this means:

SRE is an essential operating model to improve both back-end (SOR) and front-end (SOE) services and applications, aiding organizations in accelerating their digital transformation. Other models such as DevOps are supported through the SRE engineering function as it eliminates toil and improves automation across a variety of essential processes such as incident, change, configuration and capacity management.

SRE Adoption Includes Challenges and Complexities

According to Global SRE Pulse 2022, a lack of staff with the necessary skill set essential to work as an SRE is the biggest challenge that organizations face, no matter what size. Eighty-five percent (85%) of survey respondents said they lack staff with the necessary skills to work as an SRE when implementing it.

Survey respondents also noted other challenges such as "value of SRE is not understood" (71%); "don't have time to implement SRE" (53%); "lack of tools in place" (55%); and, "lack of management support" (44%).

Process issues and new releases create the biggest sources of toil, according to the study. For SRE members, eliminating toil across different processes is a key point of focus. According to the survey, 27% of respondents cite process issues as the top source of toil. Another 19% cites the releases of new applications as the main source of toil. For a digital business, the revenue is directly tied to the value the software provides.

What this means:

The SRE operating model, and its critical success factors, must be presented showing benefits and routes to value so that the necessary adjustments within the organization around upskilling or reskilling can be made. Once the practice is established, measurements of its success through key performance indicators (KPI) such as improved adherence to Service Level Agreements (SLA), improvements around Service Level Objectives (SLO) and other KPIs can accelerate its adoption.

Observability and Monitoring Platforms Are in Demand

The second most adopted automation tools are observability and monitoring platforms. Seventy-two percent (72%) of survey respondents indicated they are currently implementing and continuously implementing observability and monitoring tools. This is a good indication that observability and monitoring strategies are starting to bear fruits.

However, for effective observability, organizations must adopt it everywhere and today, only 29% of survey respondents report the leverage of observability tools and techniques everywhere.

What this means:

While many organizations still leverage fragmented monitoring approaches across their organization, it results in limited insights into the performance of modern hybrid cloud applications and other business-critical resources. This fragmented approach challenges progress in the digital transformation. Observability should be adopted holistically to infer the outputs through observing the internal states of a system.

The SRE Job Market is HOT

Site Reliability Engineering continues to be a top IT job. More than 50% of respondents said they had expanded their skills and capabilities in the SRE role.

Further, 44% strongly agreed that they are more engaged and excited about their SRE role and 36% strongly agree that they are more valued as a team member.

34% feel more valued and appreciated.

Additionally, respondents revealed that the SRE role tends to get higher pay. Fifty-two percent (52%) of respondents revealed that they agree (strongly, or somewhat) that their compensation has improved.

What this means:

Today, SRE is an essential engineering function providing great fulfillment, pay and opportunities to learn. As organizations adopt it more widely across their organizations, there is a need — and opportunity — for more skilled SRE professionals to help improve processes and establish a more collaborative culture across the organization.

Eveline Oehrlich is Chief Research Officer at DevOps Institute

Hot Topics

The Latest

Payment system failures are putting $44.4 billion in US retail and hospitality sales at risk each year, underscoring how quickly disruption can derail day-to-day trading, according to research conducted by Dynatrace ... The findings show that payment failures are no longer isolated incidents, but part of a recurring operational challenge that disrupts service, damages customer trust, and negatively impacts revenue ...

For years, the success of DevOps has been measured by how much manual work teams can automate ... I believe that in 2026, the definition of DevOps success is going to expand significantly. The era of automation is giving way to the era of intelligent delivery, in which AI doesn't just accelerate pipelines, it understands them. With open observability connecting signals end-to-end across those tools, teams can build closed-loop systems that don't just move faster, but learn, adapt, and take action autonomously with confidence ...

The conversation around AI in the enterprise has officially shifted from "if" to "how fast." But according to the State of Network Operations 2026 report from Broadcom, most organizations are unknowingly building their AI strategies on sand. The data is clear: CIOs and network teams are putting the cart before the horse. AI cannot improve what the network cannot see, predict issues without historical context, automate processes that aren't standardized, or recommend fixes when the underlying telemetry is incomplete. If AI is the brain, then network observability is the nervous system that makes intelligent action possible ...

SolarWinds data shows that one in three DBAs are contemplating leaving their positions — a striking indicator of workforce pressure in this role. This is likely due to the technical and interpersonal frustrations plaguing today's DBAs. Hybrid IT environments provide widespread organizational benefits but also present growing complexity. Simultaneously, AI presents a paradox of benefits and pain points ...

Over the last year, we've seen enterprises stop treating AI as “special projects.” It is no longer confined to pilots or side experiments. AI is now embedded in production, shaping decisions, powering new business models, and changing how employees and customers experience work every day. So, the debate of "should we adopt AI" is settled. The real question is how quickly and how deeply it can be applied ...

In MEAN TIME TO INSIGHT Episode 20, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA presents his 2026 NetOps predictions ... 

Today, technology buyers don't suffer from a lack of information but an abundance of it. They need a trusted partner to help them navigate this information environment ...

My latest title for O'Reilly, The Rise of Logical Data Management, was an eye-opener for me. I'd never heard of "logical data management," even though it's been around for several years, but it makes some extraordinary promises, like the ability to manage data without having to first move it into a consolidated repository, which changes everything. Now, with the demands of AI and other modern use cases, logical data management is on the rise, so it's "new" to many. Here, I'd like to introduce you to it and explain how it works ...

APMdigest's Predictions Series continues with 2026 Data Center Predictions — industry experts offer predictions on how data centers will evolve and impact business in 2026 ...

APMdigest's Predictions Series continues with 2026 DataOps Predictions — industry experts offer predictions on how DataOps and related technologies will evolve and impact business in 2026. Part 2 covers data and data platforms ...