Webinar: Observability at the Speed of Innovation 2022 - Research Findings

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Whether you have already started your journey to observability or are just thinking about it, attend this webinar to learn what organizations are doing with observability adoption

Register for the “Observability at the Speed of Innovation 2022” webinar with Techstrong Research:

  • Tuesday, June 22 at 11:00 EDT / 17:00 CET

  • Learn about the results contained in the Techstrong Research observability research report

In today’s age of high-speed IT innovation, insights are essential. Everything is moving at warp speed and you have got to be able to keep it all moving. However, to keep your IT infrastructure resilient, reliable and performant, relying on monitoring tools alone doesn’t cut it anymore. 

Gartner, in its updated report (available for free, on the StackState website), “Innovation Insight for Observability,” speaks to the significant uptake in observability solutions: 

By 2024 30% of enterprises implementing distributed system architectures will have adopted observability to improve digital business service performance, up from less than 10% in 2020. 

When you think of all the enterprises that exist today, 30% of the total is a significant number. 

Traditional monitoring systems look at a specified set of signals to determine how a component is behaving in specified ways. Modern observability systems (full-stack observability) offer deeper, more actionable insights into both the state of a system and the reasons for its behavior. Moving beyond the confines of monitoring, observability helps teams understand what is actually happening in the system, giving teams the ability to proactively predict and prevent problems using artificial intelligence and machine learning. 

ICYMI, there are a myriad of industry articles talking about how critical observability is. Plenty of them discuss the benefits of observability compared to monitoring tools. In fact, Forbes’s recently published article, Full-Stack Observability: Optimizing The Applications Experience In The Modern World,” by Matthew Morgan, VP of marketing for Cisco Strategy, Innovation and Applications does a fantastic job at highlighting the importance of observability:

[Full-stack observability] is the only way for teams to gain visibility, insights and actions across a vastly complex ecosystem to ensure digital services are delivering what they need to deliver—and to pinpoint where issues arise and who’s responsible for fixing them.

Traditional monitoring systems look at a specified set of signals to determine how a component is behaving in specified ways. Modern observability systems (full-stack observability) offer deeper, more actionable insights into both the state of a system and the reasons for its behavior. Moving beyond the confines of monitoring, observability helps teams understand what is actually happening in the system, giving teams the ability to proactively predict and prevent problems using artificial intelligence and machine learning. 

As I blogged about previously, we have partnered with Techstrong Research to research the current state of observability. Join us to learn about the Techstrong Research findings on June 22 at 11:00 EDT / 17:00 CET.

Additional Resources

Attribution and disclaimers

Gartner, “Innovation Insight for Observability,” Padraig Byrne, Josh Chessman, 28 September 2020, refreshed March 9, 2022.

Gartner is a registered trademark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved.

Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.


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