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Manual Processes Are Outdated and Lead to Higher Cost of Downtime and Service Incident Volume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

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...