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10 Key Takeaways from the 2022 Observability Forecast

Ishan Mukherjee
New Relic

Earlier this year, New Relic conducted an extensive survey of IT practitioners and decision-makers to understand the current state of observability: the ability to measure how a system is performing and identify issues and errors based on its external outputs. The company surveyed 1,614 IT professionals across 14 countries in North America, Europe and the Asia Pacific region. The findings of the 2022 Observability Forecast offer a detailed view of how this practice is shaping engineering and the technologies of the future.


Here are 10 key takeaways from the forecast:

1. Observability improves service-level metrics. Organizations see its value and plan to invest more

Respondents to the New Relic survey plan aggressive observability deployments, with 72% planning to maintain or increase their observability budgets over the next year. More than half expected their budgets to increase, while 20% expect to maintain current spending levels.

2. Most organizations will have robust observability practices in place by 2025

The 2022 Observability Forecast identified 17 observability capabilities that comprise a mature practice. Nearly all respondents expected to deploy key capabilities like network monitoring, security monitoring and log management by 2025. The majority expected to have 88–97% of the 17 capabilities deployed, but just 3% of respondents already maintain all 17 capabilities today.

3. Observability is now a board-level imperative

Tech executives have recognized the value and importance of observability: 73% of respondents reported that their C-suite executives are supporters of observability, and 78% saw observability as a key enabler for achieving core business goals. Furthermore, of those who had mature observability practices by the report's definition, 100% indicated that observability improves revenue retention by deepening their understanding of customer behaviors.

4. For many organizations, large sections of tech stacks are still not being fully observed or monitored

Despite the overall enthusiasm for observability and the fact that most organizations are practicing some form of observability, only 27% of respondents' organizations have achieved full-stack observability as defined in the report. The overall lack of adoption of full-stack observability signals that many organizations have an opportunity to make rapid improvements to their observability practices over the next year.

5. Organizations must tackle fragmentation of data, tools and teams

Many organizations use a patchwork of tools to monitor their technology stacks, requiring extensive manual effort only to gain a fragmented view of IT systems. More than 80% of respondents used four or more observability tools, and a third of respondents had to detect outages manually or from complaints. Just 7% of respondents said their telemetry data is unified in one place, and only 5% had a mature observability practice. Recognizing the challenges of fragmentation, respondents reported the need for simplicity, integration, seamlessness, and more efficient ways to complete high-value projects.

6. Telemetry data is often siloed

Siloed and fragmented data lead to a painful user experience, but slightly more than half (51%) of respondents still have siloed data in their tech stacks. Of those who have entirely siloed data, 77% stated they would prefer a single, consolidated platform. Those who struggle the most to juggle data across different silos long for more simplicity in their observability solutions.

7. There is a strong correlation between full-stack observability and faster mean time to detection (MTTD)

Respondents from organizations that have achieved full-stack observability, as well as those who have already prioritized full-stack observability, were more likely than others to experience the fastest mean time to detect an outage — less than five minutes. The data supports a strong correlation between achieving or prioritizing full-stack observability and a range of performance benefits, including fewer outages, improved outage detection rates, and improved resolution.

8. One of the biggest roadblocks to achieving observability is a failure to understand the benefits

The 2022 Observability Forecast asked respondents to name the biggest challenges preventing full-stack observability. The top responses were a lack of understanding of the benefits of observability and the belief that current IT performance is adequate (28% for each). Other leading roadblocks were a lack of budget (27%) and too many monitoring tools (25%).

9. Despite that, IT professionals recognize the bottom-line benefits of observability

Survey respondents named a wide range of observability benefits. These include improved uptime and reliability (cited by 36% of respondents), increased operational efficiency (35%), proactive detection of issues (33%) and an improved customer experience (33%). Respondents also said that observability improves the lives of engineers and developers, with 34% saying it helped to increase productivity and 32% crediting observability for supporting cross-team collaboration.

10. Organizations expect to need observability for AI, IoT and key business applications

C-suite executives see observability playing a major role in the development of new technologies. More than half of respondents said they would need observability most for artificial intelligence (AI) applications, while 48% mentioned the Internet of Things, 38% cited edge computing, and 36% highlighted blockchain applications. Observability in AI was mentioned across industries, with a majority of respondents in services/consulting (62%), energy/utilities (60%), government (58%) and IT/telco (51%) mentioning the need for observability in their AI projects.

Ishan Mukherjee is SVP of Growth at New Relic

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10 Key Takeaways from the 2022 Observability Forecast

Ishan Mukherjee
New Relic

Earlier this year, New Relic conducted an extensive survey of IT practitioners and decision-makers to understand the current state of observability: the ability to measure how a system is performing and identify issues and errors based on its external outputs. The company surveyed 1,614 IT professionals across 14 countries in North America, Europe and the Asia Pacific region. The findings of the 2022 Observability Forecast offer a detailed view of how this practice is shaping engineering and the technologies of the future.


Here are 10 key takeaways from the forecast:

1. Observability improves service-level metrics. Organizations see its value and plan to invest more

Respondents to the New Relic survey plan aggressive observability deployments, with 72% planning to maintain or increase their observability budgets over the next year. More than half expected their budgets to increase, while 20% expect to maintain current spending levels.

2. Most organizations will have robust observability practices in place by 2025

The 2022 Observability Forecast identified 17 observability capabilities that comprise a mature practice. Nearly all respondents expected to deploy key capabilities like network monitoring, security monitoring and log management by 2025. The majority expected to have 88–97% of the 17 capabilities deployed, but just 3% of respondents already maintain all 17 capabilities today.

3. Observability is now a board-level imperative

Tech executives have recognized the value and importance of observability: 73% of respondents reported that their C-suite executives are supporters of observability, and 78% saw observability as a key enabler for achieving core business goals. Furthermore, of those who had mature observability practices by the report's definition, 100% indicated that observability improves revenue retention by deepening their understanding of customer behaviors.

4. For many organizations, large sections of tech stacks are still not being fully observed or monitored

Despite the overall enthusiasm for observability and the fact that most organizations are practicing some form of observability, only 27% of respondents' organizations have achieved full-stack observability as defined in the report. The overall lack of adoption of full-stack observability signals that many organizations have an opportunity to make rapid improvements to their observability practices over the next year.

5. Organizations must tackle fragmentation of data, tools and teams

Many organizations use a patchwork of tools to monitor their technology stacks, requiring extensive manual effort only to gain a fragmented view of IT systems. More than 80% of respondents used four or more observability tools, and a third of respondents had to detect outages manually or from complaints. Just 7% of respondents said their telemetry data is unified in one place, and only 5% had a mature observability practice. Recognizing the challenges of fragmentation, respondents reported the need for simplicity, integration, seamlessness, and more efficient ways to complete high-value projects.

6. Telemetry data is often siloed

Siloed and fragmented data lead to a painful user experience, but slightly more than half (51%) of respondents still have siloed data in their tech stacks. Of those who have entirely siloed data, 77% stated they would prefer a single, consolidated platform. Those who struggle the most to juggle data across different silos long for more simplicity in their observability solutions.

7. There is a strong correlation between full-stack observability and faster mean time to detection (MTTD)

Respondents from organizations that have achieved full-stack observability, as well as those who have already prioritized full-stack observability, were more likely than others to experience the fastest mean time to detect an outage — less than five minutes. The data supports a strong correlation between achieving or prioritizing full-stack observability and a range of performance benefits, including fewer outages, improved outage detection rates, and improved resolution.

8. One of the biggest roadblocks to achieving observability is a failure to understand the benefits

The 2022 Observability Forecast asked respondents to name the biggest challenges preventing full-stack observability. The top responses were a lack of understanding of the benefits of observability and the belief that current IT performance is adequate (28% for each). Other leading roadblocks were a lack of budget (27%) and too many monitoring tools (25%).

9. Despite that, IT professionals recognize the bottom-line benefits of observability

Survey respondents named a wide range of observability benefits. These include improved uptime and reliability (cited by 36% of respondents), increased operational efficiency (35%), proactive detection of issues (33%) and an improved customer experience (33%). Respondents also said that observability improves the lives of engineers and developers, with 34% saying it helped to increase productivity and 32% crediting observability for supporting cross-team collaboration.

10. Organizations expect to need observability for AI, IoT and key business applications

C-suite executives see observability playing a major role in the development of new technologies. More than half of respondents said they would need observability most for artificial intelligence (AI) applications, while 48% mentioned the Internet of Things, 38% cited edge computing, and 36% highlighted blockchain applications. Observability in AI was mentioned across industries, with a majority of respondents in services/consulting (62%), energy/utilities (60%), government (58%) and IT/telco (51%) mentioning the need for observability in their AI projects.

Ishan Mukherjee is SVP of Growth at New Relic

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According to Auvik's 2025 IT Trends Report, 60% of IT professionals feel at least moderately burned out on the job, with 43% stating that their workload is contributing to work stress. At the same time, many IT professionals are naming AI and machine learning as key areas they'd most like to upskill ...

Businesses that face downtime or outages risk financial and reputational damage, as well as reducing partner, shareholder, and customer trust. One of the major challenges that enterprises face is implementing a robust business continuity plan. What's the solution? The answer may lie in disaster recovery tactics such as truly immutable storage and regular disaster recovery testing ...

IT spending is expected to jump nearly 10% in 2025, and organizations are now facing pressure to manage costs without slowing down critical functions like observability. To meet the challenge, leaders are turning to smarter, more cost effective business strategies. Enter stage right: OpenTelemetry, the missing piece of the puzzle that is no longer just an option but rather a strategic advantage ...

Amidst the threat of cyberhacks and data breaches, companies install several security measures to keep their business safely afloat. These measures aim to protect businesses, employees, and crucial data. Yet, employees perceive them as burdensome. Frustrated with complex logins, slow access, and constant security checks, workers decide to completely bypass all security set-ups ...

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Cloudbrink's Personal SASE services provide last-mile acceleration and reduction in latency

In MEAN TIME TO INSIGHT Episode 13, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud networking strategy ... 

In high-traffic environments, the sheer volume and unpredictable nature of network incidents can quickly overwhelm even the most skilled teams, hindering their ability to react swiftly and effectively, potentially impacting service availability and overall business performance. This is where closed-loop remediation comes into the picture: an IT management concept designed to address the escalating complexity of modern networks ...

In 2025, enterprise workflows are undergoing a seismic shift. Propelled by breakthroughs in generative AI (GenAI), large language models (LLMs), and natural language processing (NLP), a new paradigm is emerging — agentic AI. This technology is not just automating tasks; it's reimagining how organizations make decisions, engage customers, and operate at scale ...

In the early days of the cloud revolution, business leaders perceived cloud services as a means of sidelining IT organizations. IT was too slow, too expensive, or incapable of supporting new technologies. With a team of developers, line of business managers could deploy new applications and services in the cloud. IT has been fighting to retake control ever since. Today, IT is back in the driver's seat, according to new research by Enterprise Management Associates (EMA) ...

In today's fast-paced and increasingly complex network environments, Network Operations Centers (NOCs) are the backbone of ensuring continuous uptime, smooth service delivery, and rapid issue resolution. However, the challenges faced by NOC teams are only growing. In a recent study, 78% state network complexity has grown significantly over the last few years while 84% regularly learn about network issues from users. It is imperative we adopt a new approach to managing today's network experiences ...

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