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As Digital Transformation Prevails, Automation Remains a Top Priority for DevOps, ITOps and SRE Teams

Jessica Abelson
Transposit

Hybrid work adoption and the accelerated pace of digital transformation are driving an increasing need for automation and site reliability engineering (SRE) practices, according to new research.

In a new survey collected from 1,046 engineering, IT Operations, DevOps and site reliability engineering professionals in the United States with the role of VP, Director, Manager or individual contributor at organizations with over 300 employees, almost half of respondents (48.2%) said automation is a way to decrease Mean Time to Resolution/Repair (MTTR) and improve service management.

The second annual State of DevOps Automation Report, commissioned by Transposit also revealed close to sixty percent of organizations are losing up to half a million dollars per hour to downtime, a critical issue that can be mitigated with better automation and collaboration.

Organizations Still Lack Full Integration of Incident Response Tools

With 90.2% of organizations reporting an increased focus on digital transformation over the past year, paired with the persistence of hybrid and remote work, almost three-quarters (73.4%) of operations teams have expanded their tech stack. However, when asked how well integrated the various tools used during incident response are, only one quarter (24.7%) said all of their tools are integrated through one tool or platform. This means the vast majority (75.3%) don’t have full integration, leaving teams at risk of slow issue detection and analysis and a decrease in overall quality of service reliability and customer experience.

Broader deployment of automation has led developers to recognize that it’s key to reducing downtime and increasing resolution. This was seen by 3 in 4 organizations that implemented a continuous workflow to incident response for service management after adopting a hybrid workforce model.

Manual Processes Are Outdated and Lead to Higher Cost of Downtime and Service Incident Volume

The survey also found that more than a third (39.7%) of organizations had an increased cost of downtime during the last year (March 2021 to now). In fact, 58.2% reported that downtime (i.e., application outages, service degradation) cost their organization up to $499,999 per hour on average. Of those who reported an increase in the amount of time it takes to resolve incidents, 45.2% said it was due to a lack of unified communication with teammates (people are collaborating using disparate tools).


"Organizations need to deliver innovation faster and more efficiently than ever before. However, too many SRE, ITOps and DevOps teams are wasting time on disconnected, manual processes and playing a reactive game of whack-a-mole as they try to keep applications running," said Divanny Lamas, CEO of Transposit.

Operations teams are experiencing challenges while trying to solve incidents, including difficulties reaching people with specialized knowledge, inadequate support from collaboration methods and tools and lack of automation. When asked if they have observed any change in the frequency of service incidents that have affected their customers over the course of the last year (March 2021 to now), 62.9% of respondents reported an increase. Of those who said there was an increase in service incidents, respondents said the top reasons why this happened are digital transformation (60.7%), rolling out of new products or product updates (55.1%), methods and tools for collaboration did not adequately support their remote team (49.3%) and organizational change including team member churn, influx of new team members, and M&A activity (45.4%).

The Key to Faster Resolution of Incidents and Less Downtime: SRE Practices Combined with Automation

The rising demand for site reliability engineering is clear, as 75.6% of respondents said there has been an increased focus on SRE practices in their organization in the past 12 months, and of those, 35.1% plan to expand SRE efforts in 2022. Additionally, 65.1% of respondents plan to hire site reliability engineers in the next 12 months.

The need for automation tools is evident in the SRE roles to complement organizations’ increased focus on site reliability practices; 42.3% of SREs said the current level of automation is not meeting their organization’s needs and they are actively pursuing a new solution to solve for this shortage.

SREs are still dealing with cumbersome and tedious processes, despite the increased demand for SRE practices. Over half of SREs (56.5%) reported they still manually enter data into an ITSM system or other system or record to keep track of actions that were taken by humans during the resolution of an incident.

To scale, organizations need to implement automation technology to rid teams of these time-consuming manual processes. This is underlined by the fact that a full 100% of the respondents with a VP/Director/Manager SRE title who cited a decrease or no change in service incidents said it was because their organization implemented automation technology to help reduce the number of service incidents. Respondents also said better documentation, process and availability of data during incidents would have the most impact on MTTR, downtime and quality of service reliability.

As seen in the survey, organizations' approaches to automation differ. A majority (63%) responded that their approach to automation was incremental automation, in which they begin by codifying processes and work up to more advanced, fully automated scenarios. When asked whether automation should let humans use their judgment at critical decision points to be more reliable and effective, 80.4% of respondents said yes. Automation that keeps humans in the loop at key decision points increases flexibility and stability while automating repetitive tasks.

The top three tasks respondents would like automated are: service requests (52.6%), change requests (42.9%) and user provisioning (39.8%). Organizations are seeing the need to double-down on automation — the top three ways organizations plan to improve their incident management process are to implement new automation tools or applications (48.2%), implement new communications/collaboration tools or applications (41.5%) and implement new integration tools or applications (40.6%).

The survey makes it clear that ITOps, DevOps and SRE professionals should consider enhancing service reliability through human-in-the-loop automation, SRE practices and better collaboration methods. Teams enabled with these tools and process advancements are better empowered to spend their time and efforts on delivering innovation and competitive advantages, and ultimately creating more business value.

Jessica Abelson is Director of Product Marketing at Transposit

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As Digital Transformation Prevails, Automation Remains a Top Priority for DevOps, ITOps and SRE Teams

Jessica Abelson
Transposit

Hybrid work adoption and the accelerated pace of digital transformation are driving an increasing need for automation and site reliability engineering (SRE) practices, according to new research.

In a new survey collected from 1,046 engineering, IT Operations, DevOps and site reliability engineering professionals in the United States with the role of VP, Director, Manager or individual contributor at organizations with over 300 employees, almost half of respondents (48.2%) said automation is a way to decrease Mean Time to Resolution/Repair (MTTR) and improve service management.

The second annual State of DevOps Automation Report, commissioned by Transposit also revealed close to sixty percent of organizations are losing up to half a million dollars per hour to downtime, a critical issue that can be mitigated with better automation and collaboration.

Organizations Still Lack Full Integration of Incident Response Tools

With 90.2% of organizations reporting an increased focus on digital transformation over the past year, paired with the persistence of hybrid and remote work, almost three-quarters (73.4%) of operations teams have expanded their tech stack. However, when asked how well integrated the various tools used during incident response are, only one quarter (24.7%) said all of their tools are integrated through one tool or platform. This means the vast majority (75.3%) don’t have full integration, leaving teams at risk of slow issue detection and analysis and a decrease in overall quality of service reliability and customer experience.

Broader deployment of automation has led developers to recognize that it’s key to reducing downtime and increasing resolution. This was seen by 3 in 4 organizations that implemented a continuous workflow to incident response for service management after adopting a hybrid workforce model.

Manual Processes Are Outdated and Lead to Higher Cost of Downtime and Service Incident Volume

The survey also found that more than a third (39.7%) of organizations had an increased cost of downtime during the last year (March 2021 to now). In fact, 58.2% reported that downtime (i.e., application outages, service degradation) cost their organization up to $499,999 per hour on average. Of those who reported an increase in the amount of time it takes to resolve incidents, 45.2% said it was due to a lack of unified communication with teammates (people are collaborating using disparate tools).


"Organizations need to deliver innovation faster and more efficiently than ever before. However, too many SRE, ITOps and DevOps teams are wasting time on disconnected, manual processes and playing a reactive game of whack-a-mole as they try to keep applications running," said Divanny Lamas, CEO of Transposit.

Operations teams are experiencing challenges while trying to solve incidents, including difficulties reaching people with specialized knowledge, inadequate support from collaboration methods and tools and lack of automation. When asked if they have observed any change in the frequency of service incidents that have affected their customers over the course of the last year (March 2021 to now), 62.9% of respondents reported an increase. Of those who said there was an increase in service incidents, respondents said the top reasons why this happened are digital transformation (60.7%), rolling out of new products or product updates (55.1%), methods and tools for collaboration did not adequately support their remote team (49.3%) and organizational change including team member churn, influx of new team members, and M&A activity (45.4%).

The Key to Faster Resolution of Incidents and Less Downtime: SRE Practices Combined with Automation

The rising demand for site reliability engineering is clear, as 75.6% of respondents said there has been an increased focus on SRE practices in their organization in the past 12 months, and of those, 35.1% plan to expand SRE efforts in 2022. Additionally, 65.1% of respondents plan to hire site reliability engineers in the next 12 months.

The need for automation tools is evident in the SRE roles to complement organizations’ increased focus on site reliability practices; 42.3% of SREs said the current level of automation is not meeting their organization’s needs and they are actively pursuing a new solution to solve for this shortage.

SREs are still dealing with cumbersome and tedious processes, despite the increased demand for SRE practices. Over half of SREs (56.5%) reported they still manually enter data into an ITSM system or other system or record to keep track of actions that were taken by humans during the resolution of an incident.

To scale, organizations need to implement automation technology to rid teams of these time-consuming manual processes. This is underlined by the fact that a full 100% of the respondents with a VP/Director/Manager SRE title who cited a decrease or no change in service incidents said it was because their organization implemented automation technology to help reduce the number of service incidents. Respondents also said better documentation, process and availability of data during incidents would have the most impact on MTTR, downtime and quality of service reliability.

As seen in the survey, organizations' approaches to automation differ. A majority (63%) responded that their approach to automation was incremental automation, in which they begin by codifying processes and work up to more advanced, fully automated scenarios. When asked whether automation should let humans use their judgment at critical decision points to be more reliable and effective, 80.4% of respondents said yes. Automation that keeps humans in the loop at key decision points increases flexibility and stability while automating repetitive tasks.

The top three tasks respondents would like automated are: service requests (52.6%), change requests (42.9%) and user provisioning (39.8%). Organizations are seeing the need to double-down on automation — the top three ways organizations plan to improve their incident management process are to implement new automation tools or applications (48.2%), implement new communications/collaboration tools or applications (41.5%) and implement new integration tools or applications (40.6%).

The survey makes it clear that ITOps, DevOps and SRE professionals should consider enhancing service reliability through human-in-the-loop automation, SRE practices and better collaboration methods. Teams enabled with these tools and process advancements are better empowered to spend their time and efforts on delivering innovation and competitive advantages, and ultimately creating more business value.

Jessica Abelson is Director of Product Marketing at Transposit

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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 ... 

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