This talk will explore the area of real-time data ingest into Hadoop and present the architectural trade-offs as well as demonstrate alternative implementations that strike the appropriate balance across the following common challenges: * Decentralized writes (multiple data centers and collectors) * Continuous Availability, High Reliability * No loss of data * Elasticity of introducing more writers * Bursts in Speed per syslog emitter * Continuous, real-time collection * Flexible Write Targets (local FS, HDFS etc.)