"By 2024, 30% of enterprises implementing distributed system architectures will have adopted observability techniques to improve digital business service performance, up from less than 10% in 2020.” However, little consensus exists on the definition of observability and the benefits it provides, leading to confusion among I&O leaders who are purchasing tools and implementing observability strategy.
"The key findings in this report from Gartner include:
- Distributed system architectures increase the need for observability because such architectures can fail due to interaction between multiple systems.
- With DevOps, observability provides a common data model between software development and operations engineers to interpret system state and behavior.
- The volume of data aggregated by tools can be immense, making it difficult for I&O leaders to understand the data without the aid of artificial intelligence for IT operations (AIOps).”
Read the full report for information on use cases for observability, risks of implementing an observability strategy, and recommendations for enabling observability.
Gartner, Innovation Insight for Observability, Padraig Byrne, Josh Chessman, 28 September 2020
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