New Relic, the full-stack observability company, has published the annual observability forecast report. Based on the poll in which 1614 professionals from 14 countries participated, the report highlights some key trends in enterprises investing in observability.
Below are the ten key takeaways from the report:
1) The monitoring and observability market landscape is highly crowded and fragmented. 82% of the respondents use four or more observability tools to monitor their end-to-end technology stacks. Only 2% of the participants use a single, unified observability tool. Interestingly, 84% of organizations that have achieved full-stack observability allocated at least 5% of their total IT budget for observability tools.
2) Network monitoring, security monitoring, and database monitoring are the top candidates for observability, while Kubernetes monitoring gets the least priority. Given that enterprises are still evaluating containers and Kubernetes, it’s not surprising that it is not on the observability radar.
3) 33% of organizations primarily depend on manual checks, periodic tests, and customer complaints to identify interruptions. The remaining 67% rely on monitoring and observability tools to report service disruptions.
4) Security, governance, risk, and compliance are key drivers of observability, as reported by 49% of the organizations surveyed. Multi-cloud, application modernization, and cloud migration are mentioned as the factors by at least 40% of the participants.
5) Interestingly, CXOs, who are not as technical as the practitioners, are the most prominent advocates (39%) of observability, followed by technical-focused C-suite executives (31%), such as CTO, CIOs, CISOs, and CDOs. Only 10% of the participants mentioned resistance to implementing full-stack observability.
6) More than half of the participating organizations considered observability as the key enabler to meeting business goals. 21% of the participants said observability is more for incident response and insurance.
7) 52% of the participating organizations reported that their systems experience a high-impact outage at least once a week. Low-business-impact outages happen the most frequently, with 72% of participants mentioning that an outage occurs once per week or more.
8) AIOps, the ability to find patterns in observability data to predict failures, is considered the critical capability of full-stack observability platforms. It directly impacts the mean time to recover (MTTR), which measures the time it takes to recover from an outage.
9) Improved uptime and reliability of systems (36%) are mentioned as the key benefit of implementing full-stack observability, followed by operational efficiency, customer experience, and proactive detection.
10) Lack of understanding of observability and the business benefits it delivers (57%) is the biggest blocker for the adoption. Budget constraints (27%) are the next important aspect hindering the adoption of observability.
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