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 - driving up monitoring costs and complexity, 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.
