Transforming Information Into Knowledge
Transforming Information Into Knowledge
Observability and monitoring is the most cited challenge when moving ML models into production. The Institute for Ethical AI & Machine Learning conducted a survey on the state of production ML in the fourth quarter of 2024. The other key takeaway is that custom-built tools […]
24% of a New Relic survey use AIOps capabilities, down from 41% when the same study was conducted in 2023. The drop may be a response to AIOps’ bad reputation, and a rebranding to AI-powered observability better picks up actual usage patterns.
Use of OpenTelemetry and Argo soared while several big CNCF projects stagnated.
Top serverless use cases continue to involve REST APIs and business logic.
Service meshes have yet to become adopted by “early majority” technology adopters, but 46% of the survey are piloting them or have plans to evaluate or implement them in the next 12 months. Stories of successes and failures in production environments may affect these plans.
Using logs, metrics, and traces together is part of the definition of “observability,” according to 83% of the nearly 1,000 respondents to Logz.io’s annual DevOps Pulse study.