Coralogix enhanced its data pipeline by employing Kafka Streams and Kafka Connect to optimize performance and resilience, handling up to tens of billions of messages daily. Initially, their system struggled with non-linear scaling and infrastructure issues due to combining external I/O with in-memory processing. The introduction of Kafka Streams allowed Coralogix to decouple services from external I/O, making them CPU-bound and reducing resource usage by 80%. By using Kafka for data flow, they achieved a push-updated cache, minimizing delays and external side effects, and increased system stability against external source glitches. Further improvements included optimizing RocksDB with compression and implementing an in-memory LRU cache, which significantly reduced disk lookup latency. These changes have led to a more efficient and stable pipeline, demonstrating the power of streamlining data processes through advanced stream architecture.