4 Ways Data Observability Improves the Cloud Migration Process

Cloud adoption is rising among enterprises due to benefits such as lower costs, scalability, agility, and resilient operations. However, migrating data and workloads to a cloud environment requires a thoughtful plan that aligns with an organization's data strategy. Data observability can help create effective SLAs/SLOs for external service providers and optimize data operations. It provides performance, usage, and cost baselines that inform all cloud migration decisions. Understanding the different types of clouds (public, private, hybrid) is important when choosing which one(s) is right for a business. Cloud migration strategies include rehosting, replatforming, repurchasing, refactoring, retiring, and retaining. Acceldata's Data Observability Platform can help optimize data spend, improve operational intelligence, and ensure data reliability during cloud migrations.