In today's dynamic world of software development and system operations, making informed decisions and developing effective strategies rely heavily on data. The OODA loop, developed by military strategist John Boyd, consists of a recurring cycle: Observe, Orient, Decide and Act. This is then followed by a Feedback stage (not represented in the OODA acronym for some reason) before the cycle repeats itself, allowing for continuous optimization.
Although microservices and cloud architectures are the new norm for modern applications, cloud cost optimization could run high in observability. High costs are largely due to the number of components involved in cloud architectures. According to Cloud Data Insights in a recent report, around 71% of IT companies say that cloud observability logs are growing at an alarming rate— a driving factor for rising observability costs.
In this blog, we take you through the latest trends in I&O optimization as Gartner’s report Hype Cycle for I&O Automation, 2023 predicts the widespread adoption of automated tools supporting IT infrastructure. This blog focuses on tools—like OnPage’s incident alert management solution—likely to be widely adopted as a standard for I&O optimization in the near future.
