tldr - powered by Generative AI

• Prometheus assumes that the system lives long enough to be discovered and scraped, that the service is network-enabled, and that the user can do their own aggregation.
• Prometheus uses a pull-based model for metrics collection, which requires the service to live for at least 5-15 seconds.
• Exposing things over the network requires the ability to listen on a port, spin up a server, and secure communication with firewall rules and TLS certificates.
• Prometheus assumes that the user can do their own aggregation, which can be problematic for metrics like request counts.
• There is a need for a better solution that can handle the challenges of serverless architectures and provide more accurate metrics.

tldr - powered by Generative AI

• Dapper provides building blocks for developers to consume APIs for state management, pub/sub, and configuration management.
• Dapper runs on any infrastructure and has a sidecar architecture.
• Components are at the heart of Dapper, allowing developers to talk to different APIs or implementations behind those APIs.
• Dapper has a simple architecture on Kubernetes with a control plane and data plane.
• Dapper enables developers to apply global resiliency policies across their apps and cloud or on-premises infrastructure services.