Welcome to PithorAcademy Presents: Deep Dive (S7E24). In this tech podcast episode, we explore Kafka error handling and the critical role of Dead Letter Queues (DLQs) in building reliable data pipelines.You’ll learn:The most common errors in Kafka pipelinesThe concept of a Dead Letter Queue (DLQ)Different retry strategies and best practicesWhy DLQ is essential for pipeline reliabilityEssential listening for developers, data engineers, and architects working on fault-tolerant streaming systems. Listen on Your Favorite Platform:Spotify: ⁠https://open.spotify.com/show/4WwstTvCBb18IKyqGVHYAU⁠Amazon Music: ⁠https://music.amazon.com/podcasts/0c4eac7c-e695-49b4-b825-595fface346b/pithoracademy-presents-deep-dive⁠YouTube Music: ⁠https://music.youtube.com/channel/UCMO9B2qiqsyC3ui4Vk4P7Ig⁠Apple Podcasts: ⁠https://podcasts.apple.com/us/podcast/pithoracademy-presents-deep-dive/id1827417601⁠JioSaavn: ⁠https://www.jiosaavn.com/shows/pithoracademy-presents-deep-dive/1/J4wBuNvwFro⁠ Connect with Us:Website: ⁠https://www.pithoracademy.com/⁠Facebook: ⁠https://www.facebook.com/PithorAcademy⁠Instagram: ⁠https://www.instagram.com/pithoracademy/⁠LinkedIn: ⁠https://www.linkedin.com/company/pithoracademy#Kafka #KafkaErrorHandling #DeadLetterQueue #KafkaDLQ #TechPodcast #DataEngineering #StreamProcessing #BigData #ApacheKafka #RealTimeData #PithorAcademy