Monday had a talk on streaming telemetry where OpenConfig models and protocols featured and several of the microphone questions/comments related to a demand for st …

Mumin Ransom gives an overview of the data management and privacy challenges around automating ML model (re)deployments and stream-based inferencing at scale.

With ubiquitous ML models, model serving and pipelining is more important now. Comcast runs hundreds of models at scale with Kubernetes and Kubeflow. Together with other popular open source streaming platforms such as Apache Kafka and Redis, Comcast invokes models billions of times per day while maintaining high availability guarantees and quick deployments. Join Nick Pinckernell to learn how.

The Comcast RDK is a complex Linux software stack powering millions of set-top-boxes. In 2013 the project faced scalability issues with their home grown Linux environment which impacted internal teams …

Kamil Bajda-Pawlikowski and Martin Traverso explore Presto's recently introduced cost-based optimizer, which must account for heterogeneous inputs with differing and often incomplete data statistics, and detail use cases for Presto across several industries. They also share recent Presto advancements, such as geospatial analytics at scale, and the project roadmap going forward.

Kuberhealthy is a synthetic monitoring operator for both apps and Kubernetes clusters. Learn how to increase application and cluster observability by replicating real workflow and carefully checking f …