Modern businesses are adopting the Lambda Architecture to support an increasing variety of data workloads and uses cases, which require both fault-tolerance and scalability. The architecture models everything as an ordered, immutable log of events, with processing completed as a series of transformations that output to new tables or streams. SingleStore combines database and data warehouse workloads, enabling both transactional processing and analytics, often fulfilling the speed layer of the Lambda Architecture by providing in-memory performance. To make sense of the architecture, a new guide is being launched, The Lambda Architecture Simplified, which demystifies complexity surrounding the model and provides simplified data frameworks and real-world use cases.