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Observability Benefits: Operational Efficiency, Faster Innovation and Better Business Outcomes

Companies implementing observability benefit from increased operational efficiency, faster innovation, and better business outcomes overall, according to 2023 IT Trends Report: Lessons From Observability Leaders, a report from SolarWinds.

The report highlights a stark contrast between enterprises that have embraced observability and their peers who have not. Among the findings, the survey uncovered that observability leaders — those who follow best practices to leverage observability and report experiencing better business and IT outcomes as a result — are three times more likely to say their organization is:

■ doing extremely well with growing revenue.

■ more than twice as likely to say the same about operational efficiency.

■ 2.5 times more likely to say they're excelling with the speed of innovation.

Observability leaders also gave higher ratings to their organization's employee experience, including lower levels of reported employee burnout and fewer skill gaps on their teams.

These takeaways come at a critical time, as IT environments become increasingly complex, and companies experience more challenges in efficiently addressing IT issues as a result. According to the findings, the typical enterprise suffers from an average of nine brownouts or outages every month, lasting around twelve hours each, at an average annual cost of $13.7MM.


Observability has emerged as a solution to not only preemptively detect anomalies and potential issues before they escalate into full-blown outages but to proactively address those issues at the root cause and prevent future outages.

"Outages and security concerns are no longer just an IT problem, and observability is no longer just an IT solution," said Jeff Stewart, Field CTO and VP, Global Solutions Engineering at SolarWinds. "The better business, innovation, and technology outcomes experienced by observability leaders prove the benefits to every level, department, and employee. The findings of this year's report should serve as an urgent call to action for business leaders who believe they can't afford to invest in observability tools — when the truth is that we're rapidly entering a landscape in which companies simply can't afford to risk being without them."

The survey also highlighted trends among the observability leaders reporting fewer and less frequent challenges in their ecosystem, finding the majority are:

Investing in top priorities

Data shows organizations using observability solutions to support the priorities most critical to their growth and success:

■ improve their customer experience (96%)

■ enable faster innovation (71%)

■ reduce time spent solving (71%)

■ detect (60%) issues

■ increase operational efficiency (55%)

More automated and integrated

Observability leaders embracing automation and investing in tools that provide enhanced efficiency are:

■ 214% more likely to say they are doing extremely well with operational efficiency.

■ 750% more likely to say they are doing extremely well with auto-remediation of complex alerts.

■ 300% better at automatically collecting background diagnostic data for IT support staff.

Ahead on IT

The data found that those ahead of the curve on observability are also leading by huge margins when it comes to monitoring, detecting, and resolving issues that could otherwise bring the business to a screeching halt.

When it comes to IT, they are:

■ 233% better at auto-escalation of tickets.

■ 213% better at auto-remediation of simple alerts.

■ 36% better at settling alert levels based on historical behavior.

The Latest

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 ...

When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...

Observability Benefits: Operational Efficiency, Faster Innovation and Better Business Outcomes

Companies implementing observability benefit from increased operational efficiency, faster innovation, and better business outcomes overall, according to 2023 IT Trends Report: Lessons From Observability Leaders, a report from SolarWinds.

The report highlights a stark contrast between enterprises that have embraced observability and their peers who have not. Among the findings, the survey uncovered that observability leaders — those who follow best practices to leverage observability and report experiencing better business and IT outcomes as a result — are three times more likely to say their organization is:

■ doing extremely well with growing revenue.

■ more than twice as likely to say the same about operational efficiency.

■ 2.5 times more likely to say they're excelling with the speed of innovation.

Observability leaders also gave higher ratings to their organization's employee experience, including lower levels of reported employee burnout and fewer skill gaps on their teams.

These takeaways come at a critical time, as IT environments become increasingly complex, and companies experience more challenges in efficiently addressing IT issues as a result. According to the findings, the typical enterprise suffers from an average of nine brownouts or outages every month, lasting around twelve hours each, at an average annual cost of $13.7MM.


Observability has emerged as a solution to not only preemptively detect anomalies and potential issues before they escalate into full-blown outages but to proactively address those issues at the root cause and prevent future outages.

"Outages and security concerns are no longer just an IT problem, and observability is no longer just an IT solution," said Jeff Stewart, Field CTO and VP, Global Solutions Engineering at SolarWinds. "The better business, innovation, and technology outcomes experienced by observability leaders prove the benefits to every level, department, and employee. The findings of this year's report should serve as an urgent call to action for business leaders who believe they can't afford to invest in observability tools — when the truth is that we're rapidly entering a landscape in which companies simply can't afford to risk being without them."

The survey also highlighted trends among the observability leaders reporting fewer and less frequent challenges in their ecosystem, finding the majority are:

Investing in top priorities

Data shows organizations using observability solutions to support the priorities most critical to their growth and success:

■ improve their customer experience (96%)

■ enable faster innovation (71%)

■ reduce time spent solving (71%)

■ detect (60%) issues

■ increase operational efficiency (55%)

More automated and integrated

Observability leaders embracing automation and investing in tools that provide enhanced efficiency are:

■ 214% more likely to say they are doing extremely well with operational efficiency.

■ 750% more likely to say they are doing extremely well with auto-remediation of complex alerts.

■ 300% better at automatically collecting background diagnostic data for IT support staff.

Ahead on IT

The data found that those ahead of the curve on observability are also leading by huge margins when it comes to monitoring, detecting, and resolving issues that could otherwise bring the business to a screeching halt.

When it comes to IT, they are:

■ 233% better at auto-escalation of tickets.

■ 213% better at auto-remediation of simple alerts.

■ 36% better at settling alert levels based on historical behavior.

The Latest

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 ...

When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...