Gesamtlänge aller Episoden: 62 days 9 hours 37 minutes
Cruise is an autonomous car company with a development cycle that is highly dependent on testing its cars–both in the wild and in simulation. The testing cycle typically requires cars to drive around gathering data,
Grafana is an open source visualization and monitoring tool that is used for creating dashboards and charting time series data. Grafana is used by thousands of companies to monitor their infrastructure. It is a popular component in monitoring stacks,
Apache Airflow was released in 2015, introducing the first popular open source solution to data pipeline orchestration. Since that time, Airflow has been widely adopted for dependency-based data workflows. A developer might orchestrate a pipeline with ...
The life cycle of data management includes data cleaning, extraction, integration, analysis and exploration, and machine learning models. It would be great if all of this data management could be handled with automation,
Kubernetes continues to mature as a platform for infrastructure management. At this point, many companies have well-developed workflows and deployment patterns for working with applications built on Kubernetes.
Uber needs to visualize data on a range of different surfaces. A smartphone user sees cars moving around on a map as they wait for their ride to arrive. Data scientists and operations researchers within Uber study the renderings of traffic moving throu...
A frontend developer issuing a query to a backend server typically requires the developer to issue that query through an ORM or a raw database query. Prisma is an alternative to both of these data access patterns,
Machine learning workflows have had a problem for a long time: taking a model from the prototyping step and putting it into production is not an easy task. A data scientist who is developing a model is often working with different tools,
Many data sources produce new data points at a very high rate. With so much data, the issue of data quality emerges. Low quality data can degrade the accuracy of machine learning models that are built around those data sources. Ideally,
Server infrastructure traditionally consists of monolithic servers containing all of the necessary hardware to run a computer. These different hardware components are located next to each other, and do not need to communicate over a network boundary to...