The world of AI and machine learning has evolved at an accelerated pace these past few years, and the advent of ChatGPT, DALL-E, and Stable Diffusion has brought a lot of additional attention to the topic. Being aware of this, Grafana Labs prepared an integration for monitoring one of the most used machine learning model servers available: TensorFlow Serving. TensorFlow Serving is an open source, flexible serving system built to support the use of machine learning models at scale.

Compare Graphite and Prometheus, two leading open-source monitoring solutions.

Testing is still the most arduous, painful, and expensive task within a DevOps practice, regardless of framework or approach. Why? Because the current approaches to testing and development are not focused on production. Production-Driven Development (PDD), allows for rapid iteration without sacrificing stability or confidence. Following PDD, a small team or single developer can launch an application in weeks that used to take multiple teams months or a year.