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Authors: Colin Douch
2022-05-19

tldr - powered by Generative AI

The presentation discusses the challenges of using Prometheus as the standard for collecting and storing time series in serverless architectures and the need for a better solution.
  • 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.