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 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.
Incidents are a costly burden on businesses. Despite assembling the right people and teams, the manual work, tool setup and prolonged tasks can negatively impact customer experience. The need for adaptable processes to address diverse incident types further complicates the situation. This is where the PagerDuty Operations Cloud steps in. It streamlines and automates all the various manual steps in the incident response process.