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The State of Observability 2022

The most sophisticated observability practitioners (leaders) are able to cut downtime costs by 90%, from an estimated $23.8 million annually to just $2.5 million, compared to observability beginners, according to the State of Observability 2022 from Splunk in collaboration with the Enterprise Strategy Group.


What's more, leaders in observability are more innovative and more successful at achieving digital transformation outcomes and other initiatives:

■ Observability leaders have launched 60% more products or revenue streams from AppDev teams in the last year compared to beginners.

■ Observability leaders report a 69% better mean time to resolution for unplanned downtime or performance degradation thanks to investment in observability.

■ 66% of leaders report that their visibility into application performance is excellent (compared to just 44% of beginners). Similarly, 64% of leaders report that visibility into their security posture is excellent (versus 42% of beginners).

■ Twice as many leaders can detect problems associated with internally developed applications within minutes, resulting in an estimated 37% better MTTD.

"Our research confirms just how vital observability is for every business," said Spiros Xanthos, SVP and General Manager, Observability, Splunk. "The most sophisticated observability practitioners have given themselves an edge in digital transformation while massively cutting costs associated with downtime and boosting their ability to out-innovate the competition. These observability leaders are more competitive, more resilient and more efficient as a result."

Increased cloud complexity also highlights how imperative becoming an observability leader is for all enterprises. Organizations have been moving to the cloud for more than a decade and in more recent years, hybrid architectures and multicloud operations have complicated many organizations' cloud ecosystems.

70% of respondents are using multiple cloud services, and the shift to multicloud has increased complexity:

■ 75% of respondents have many cloud-native applications that run in multiple environments, either multiple public clouds or a combination of on-premises and public clouds.

■ Leaders are even more likely to report commonly running cloud-native applications (92% versus 68% of beginners),

■ 36% of organizations (and 47% of leaders) that use the public cloud to run internally developed applications use three or more different public clouds today, and 67% expect to do so within 24 months.

While the challenges of observability are global, the report reveals that there are significant variations across countries:

■ Canadian organizations trail in their observability journey: 79% are beginners (versus 58% averaged across other countries) and just 2% are leaders (versus 10% in the rest of the world).

■ French organizations more often report that their investments in AIOps technologies have helped them achieve lower mean time to resolution (MTTR) (58% versus 43% averaged across other countries).

■ Japanese organizations have had noteworthy success using AIOps technologies to help solve recurring issues in their environment: 74% report that this has been a benefit of AIOps, versus a 55% average across other countries.

■ Indian organizations are further along in the observability journey: Only 29% are rated as beginners, versus 62% on average across other countries.

For organizations across the globe looking to invest in observability, a lack of staff is one of the biggest hindrances in improving observability. Among respondents, 95% reported challenges in finding staff to monitor and manage infrastructure and application availability, while 81% of enterprises said a lack of staff had led to projects and initiatives failing.

"Organizations that use the right observability tools and practices and build to attract talent stand the best chance of becoming leaders in observability," said Xanthos. "By tackling data volume and variety with AI, organizations can alleviate staffing concerns, while at the same time investing in skills training to draw in the very best talent available. Consolidating vendors and rationalizing tools will also allow companies to curate the vendor and tool set that gives them the most visibility with the least drag, lessening the potential for staff burnout in the process."

Methodology: The global survey was conducted from early-February through mid-February 2022 in partnership with the Enterprise Strategy Group. The 1,250 application development and IT operations leaders who spend more than half of their time on observability issues were drawn from 11 regions: Australia, Canada, France, Germany, India, Japan, The Netherlands, New Zealand, Singapore, The United Kingdom and the United States.

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The State of Observability 2022

The most sophisticated observability practitioners (leaders) are able to cut downtime costs by 90%, from an estimated $23.8 million annually to just $2.5 million, compared to observability beginners, according to the State of Observability 2022 from Splunk in collaboration with the Enterprise Strategy Group.


What's more, leaders in observability are more innovative and more successful at achieving digital transformation outcomes and other initiatives:

■ Observability leaders have launched 60% more products or revenue streams from AppDev teams in the last year compared to beginners.

■ Observability leaders report a 69% better mean time to resolution for unplanned downtime or performance degradation thanks to investment in observability.

■ 66% of leaders report that their visibility into application performance is excellent (compared to just 44% of beginners). Similarly, 64% of leaders report that visibility into their security posture is excellent (versus 42% of beginners).

■ Twice as many leaders can detect problems associated with internally developed applications within minutes, resulting in an estimated 37% better MTTD.

"Our research confirms just how vital observability is for every business," said Spiros Xanthos, SVP and General Manager, Observability, Splunk. "The most sophisticated observability practitioners have given themselves an edge in digital transformation while massively cutting costs associated with downtime and boosting their ability to out-innovate the competition. These observability leaders are more competitive, more resilient and more efficient as a result."

Increased cloud complexity also highlights how imperative becoming an observability leader is for all enterprises. Organizations have been moving to the cloud for more than a decade and in more recent years, hybrid architectures and multicloud operations have complicated many organizations' cloud ecosystems.

70% of respondents are using multiple cloud services, and the shift to multicloud has increased complexity:

■ 75% of respondents have many cloud-native applications that run in multiple environments, either multiple public clouds or a combination of on-premises and public clouds.

■ Leaders are even more likely to report commonly running cloud-native applications (92% versus 68% of beginners),

■ 36% of organizations (and 47% of leaders) that use the public cloud to run internally developed applications use three or more different public clouds today, and 67% expect to do so within 24 months.

While the challenges of observability are global, the report reveals that there are significant variations across countries:

■ Canadian organizations trail in their observability journey: 79% are beginners (versus 58% averaged across other countries) and just 2% are leaders (versus 10% in the rest of the world).

■ French organizations more often report that their investments in AIOps technologies have helped them achieve lower mean time to resolution (MTTR) (58% versus 43% averaged across other countries).

■ Japanese organizations have had noteworthy success using AIOps technologies to help solve recurring issues in their environment: 74% report that this has been a benefit of AIOps, versus a 55% average across other countries.

■ Indian organizations are further along in the observability journey: Only 29% are rated as beginners, versus 62% on average across other countries.

For organizations across the globe looking to invest in observability, a lack of staff is one of the biggest hindrances in improving observability. Among respondents, 95% reported challenges in finding staff to monitor and manage infrastructure and application availability, while 81% of enterprises said a lack of staff had led to projects and initiatives failing.

"Organizations that use the right observability tools and practices and build to attract talent stand the best chance of becoming leaders in observability," said Xanthos. "By tackling data volume and variety with AI, organizations can alleviate staffing concerns, while at the same time investing in skills training to draw in the very best talent available. Consolidating vendors and rationalizing tools will also allow companies to curate the vendor and tool set that gives them the most visibility with the least drag, lessening the potential for staff burnout in the process."

Methodology: The global survey was conducted from early-February through mid-February 2022 in partnership with the Enterprise Strategy Group. The 1,250 application development and IT operations leaders who spend more than half of their time on observability issues were drawn from 11 regions: Australia, Canada, France, Germany, India, Japan, The Netherlands, New Zealand, Singapore, The United Kingdom and the United States.

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The Latest

Today's enterprises exist in rapidly growing, complex IT landscapes that can inadvertently create silos and lead to the accumulation of disparate tools. To successfully manage such growth, these organizations must realize the requisite shift in corporate culture and workflow management needed to build trust in new technologies. This is particularly true in cases where enterprises are turning to automation and autonomic IT to offload the burden from IT professionals. This interplay between technology and culture is crucial in guiding teams using AIOps and observability solutions to proactively manage operations and transition toward a machine-driven IT ecosystem ...

Gartner identified the top data and analytics (D&A) trends for 2025 that are driving the emergence of a wide range of challenges, including organizational and human issues ...

Traditional network monitoring, while valuable, often falls short in providing the context needed to truly understand network behavior. This is where observability shines. In this blog, we'll compare and contrast traditional network monitoring and observability — highlighting the benefits of this evolving approach ...

A recent Rocket Software and Foundry study found that just 28% of organizations fully leverage their mainframe data, a concerning statistic given its critical role in powering AI models, predictive analytics, and informed decision-making ...

What kind of ROI is your organization seeing on its technology investments? If your answer is "it's complicated," you're not alone. According to a recent study conducted by Apptio ... there is a disconnect between enterprise technology spending and organizations' ability to measure the results ...

In today’s data and AI driven world, enterprises across industries are utilizing AI to invent new business models, reimagine business and achieve efficiency in operations. However, enterprises may face challenges like flawed or biased AI decisions, sensitive data breaches and rising regulatory risks ...

In MEAN TIME TO INSIGHT Episode 12, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses purchasing new network observability solutions.... 

There's an image problem with mobile app security. While it's critical for highly regulated industries like financial services, it is often overlooked in others. This usually comes down to development priorities, which typically fall into three categories: user experience, app performance, and app security. When dealing with finite resources such as time, shifting priorities, and team skill sets, engineering teams often have to prioritize one over the others. Usually, security is the odd man out ...

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Guardsquare

IT outages, caused by poor-quality software updates, are no longer rare incidents but rather frequent occurrences, directly impacting over half of US consumers. According to the 2024 Software Failure Sentiment Report from Harness, many now equate these failures to critical public health crises ...

In just a few months, Google will again head to Washington DC and meet with the government for a two-week remedy trial to cement the fate of what happens to Chrome and its search business in the face of ongoing antitrust court case(s). Or, Google may proactively decide to make changes, putting the power in its hands to outline a suitable remedy. Regardless of the outcome, one thing is sure: there will be far more implications for AI than just a shift in Google's Search business ... 

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