DevOps
fromInfoWorld
6 days agoEnterprises are rethinking Kubernetes
Kubernetes is losing its status as the default choice for enterprise application deployment due to operational complexities and rising expectations.
Lyft has rearchitected its machine learning platform LyftLearn into a hybrid system, moving offline workloads to AWS SageMaker while retaining Kubernetes for online model serving. Its decision to choose managed services where operational complexity was highest, while maintaining custom infrastructure where control mattered most, offers a pragmatic alternative to unified platform strategies. Lyft's engineers migrated LyftLearn Compute, which manages training and batch processing, to AWS SageMaker, eliminating background watcher services, cluster autoscaling challenges, and eventually-consistent state management, which had consumed significant engineering effort.
Sixty-one people. That's what it takes to run a single global creator marketing campaign today: an army of strategists, lawyers, analysts, and staff coordinating across time zones, agencies, and spreadsheets. Those 61 people reveal the creator economy's defining tension. It has scaled faster than the infrastructure built to support it.
In 2025, MSPs are grappling with widespread burnout, operational complexity, and tool sprawl, yet many plan to increase their budgets amid these challenges.