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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

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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

As AI moves from generating responses to performing actions, the need for trust increases exponentially. And as organizations enlist AI agents for increasingly sophisticated business processes, trust is going to be the single most important theme for spurring adoption. What can organizations do to build trustworthy AI agents? ...

I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ...