Would you cross the street with traffic information that's a minute old? Certainly not. Modern businesses have the same needs. Michael Noll explores why and how you can use Kafka and its growing ecosystem to build elastic event-driven architectures. Specifically, you look at Kafka as the storage layer, at Kafka Connect for data integration, and at Kafka Streams and KSQL as the compute layer.

Airbnb uses AI and machine learning in many parts of its user-facing business. But it's also advancing the state of AI-powered internal tools. Theresa Johnson details the AI powering Airbnb's next-generation end-to-end metrics forecasting platform, which leverages machine learning, Bayesian inference, TensorFlow, Hadoop, and web technology.

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.

Its a brand new world in infrastructure with the advent of microservices, containerization, Kubernetes, and service mesh. And all is well. Or is it? Find out how easy it is to break container runtime …

In 2013, Airbnb released an open source service discovery solution (SmartStack) and has functioned on the same framework for years. Historically our infrastructure ran on AWS EC2 instances and utilize …

In under a year, Airbnb went from 600 Kubernetes nodes across a couple handcrafted clusters to over 5000 nodes on tens of clusters. Successful adoption of Kubernetes by services led to more and faster …

When Airbnb first evaluated Kubernetes, they explicitly tested for performance and saw no significant differences. Then in 2019, as Airbnbs migration of services from EC2/Chef to Kubernetes went into …

Everyone is excited to adopt the latest technology trends, but how do you migrate from one technology to another when you have high availability requirements? How do you separate hype from a technolog …