Sidney Shek and Jeff Farber explain how to use techniques like event sourcing, CQRS, and CRDTs to mitigate unpredictable failures that stem from humans and increasingly complex architectures in the cloud native world (microservices, anyone?). You'll learn implementation tips and tricks based on their successes (and failures) in building out the Identity platform that underpins Atlassian Cloud.

Streaming analytics is a popular subject in enterprise organizations because customers want real-time experiences, such as notifications and advice based on online behavior and other users actions. Bas Geerdink details an open source reference solution for streaming analytics that covers many use cases that follow a "pipes and filters" pattern, built with Scala, Flink, Kafka, and Cassandra.

Cassandra is one of the most popular datastores in big data and ML applications. Data analysis at scale with fast query response is critical for business needs, and while Cassandra with Spark integration allows running an analytical workload, it can be slow. Shradha Ambekar dives into the challenges faced at Intuit and the solutions her team implemented to improve performance by 100x.

Enterprise data on customers, vendors, and products is often siloed and represented differently in diverse systems, hurting analytics, compliance, regulatory reporting, and 360 views. Traditional rule-based MDM systems with legacy architectures struggle to unify this growing data. Sonal Goyal offers an overview of a modern master data application using Spark, Cassandra, ML, and Elastic.

Presto is a popular open sourcedistributed SQL engine for interactive queries over heterogeneous data sources (Hadoop/HDFS, Amazon S3, Azure ADSL, RDBMS, NoSQL, etc). Wojciech Biela and Piotr Findeisen offer an overview of the Cost-Based Optimizer (CBO) for Presto, which brings a great performance boost. Join in to learn about CBO internals, the motivating use cases, and observed improvements.

Adrian Lungu and Serban Teodorescu explain howinspired by the green-blue deployment techniquethe Adobe Audience Manager team developed an active-passive database migration procedure that allows them to test database clusters in production, minimizing the risks without compromising the innovation.

Osman Sarood and Chunky Gupta discuss Mists real-time data pipeline, focusing on Live Aggregators (LA)a highly reliable and scalable in-house real-time aggregation system that can autoscale for sudden changes in load. LA is 80% cheaper than competing streaming solutions due to running over AWS Spot Instances and having 70% CPU utilization.

Ever wonder how to use a volumeClaimTemplate? Why you would choose a StatefulSet over a Deployment or vice versa?Complicated stateful applications are normally deployed via operators; however, it is …

In this talk, we will be taking a deep-dive through both the architecture and some of the more recent developments of the Rook project. Rook is an open source cloud-native storage orchestrator for Kub …