Kafka
/ˈkɑːfkə/
noun — "high-throughput distributed event streaming platform."
Kafka is a distributed event streaming platform designed for high-throughput, fault-tolerant, and scalable messaging. It implements a **publish-subscribe** model where producers publish messages to topics, and consumers subscribe to those topics to receive messages asynchronously. This architecture decouples producers and consumers, enabling independent scaling and real-time data processing across distributed systems.
Dataflow
/ˈdeɪtəˌfləʊ/
n. “Move it, process it, analyze it — all without touching the wires.”
Dataflow is a managed cloud service designed to handle the ingestion, transformation, and processing of large-scale data streams and batches. It allows developers and data engineers to create pipelines that automatically move data from sources to sinks, perform computations, and prepare it for analytics, machine learning, or reporting.
ChaCha20
/ˈtʃɑː-tʃɑː-twɛn-ti/
n. “Fast. Portable. Secure — even when the hardware isn’t helping.”
ChaCha20 is a modern stream cipher designed to encrypt data quickly and securely across a wide range of systems, especially those without specialized cryptographic hardware. Created by Daniel J. Bernstein as a refinement of the earlier ChaCha family, ChaCha20 exists to solve a practical problem that older ciphers struggled with: how to deliver strong encryption that remains fast, predictable, and resistant to side-channel attacks on ordinary CPUs.