Haley Tucker discusses how other systems may affect Netflix' services, strategies to protect their systems and make sure they won't fail even if things go wrong.
Matt Ranney talks about the limits that some companies have encountered in their large microservices deployments and some non-microservices approaches to those same problems.
Keith Adams tours Slack's infrastructure from clients into the Slack datacenter, and around the various services that provide real-time messaging, search, voice calls, and custom emoji.
Josh Evans talks about the chaotic and vibrant world of microservices at Netflix, exploring the cultural, architectural, and operational methods that lead to microservice mastery.
Neha Narkhede shares the experience at LinkedIn moving from ETL to real-time streams, the challenges of scaling Kafka to hundreds of billions of events/day, supporting thousands of engineers, etc.
Fabio Carvalho and Eduardo Solis from PayPal discuss adding Spring Boot to their RESTful Java framework providing a microservices architecture based on cloud, CI, Docker and embedded containers.
Beach Clark talks about the technological and cultural challenges of turning data science into a vital part of the business model at Georgia Aquarium.
Danny Lange presents Uber’s Machine Learning service that can perform functions such as ETA, fraud detection, churn prediction, forecasting demand, and much more.
Satish Venkatesan and Rag Ramanathan talk about Cognizant cloud-native digital business solutions and platforms that support the business and next-gen IT transformations within insurers.
Ben Ross discusses using the Objectives and Key Results framework and Lean startup to drive operational efficiency, and how the framework’s design improves organizational alignment and performance.
The authors explore how companies are upending traditional industries through the use of data and smart applications and provide a blueprint for developing smart applications.
Lenley Hensarling describes how EnterpriseDB Cloud Management can provide responsible DevOps models for the enterprise.