Reduce Data Noise and Improve Data Quality with Observability
Key findings from Forrester’s survey of infrastructure and cloud-monitoring decision-makers
Perhaps the biggest challenge facing today’s DevOps teams as they implement and expand cloud observability is the pervasive issue of too much noisy data - which drives up monitoring costs and complexity, while making it harder to surface and troubleshoot production issues.
In a recent survey conducted by Forrester Consulting and commissioned by Logz.io, they uncovered that many organizations are struggling with massive data volumes, siloed monitoring tooling, and the inability to catch problems before they impact customers. Moving to embrace new practices that better address microservices architecture and enable unified observability, while driving down costs, are among Forrester’s takeaways from the study. Join our experts as we comb through key findings from the survey and how they can be used to improve your DevOps teams.