DiscoverPithorAcademy Presents: Deep Dive
PithorAcademy Presents: Deep Dive
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PithorAcademy Presents: Deep Dive

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Welcome to Deep Dive, presented by PithorAcademy.

Our mission is to simplify the latest technologies—why they were created, the problems they solve, and how they work—so you're always interview-ready and ahead in your tech journey. Whether you're a Java enthusiast, a cloud-native developer, or scaling microservices, gain real insights from those shaping the tech world.

Join us as we unpack topics like Java development, cloud architecture, DevOps, system design, API strategy, career growth, and the ever-evolving tech landscape.

Hosted by the PithorAcademy team.
266 Episodes
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SOLID Principles Made Simple: Build Better Code from Day OneWelcome to Code Foundations, where we break down complex programming ideas into simple, practical lessons. In this episode, we’re diving into the SOLID Principles — the five golden rules of clean, maintainable object-oriented design.Whether you're new to coding or just starting with Java or OOP, we’ll guide you through:S – Single Responsibility PrincipleO – Open/Closed PrincipleL – Liskov Substitution PrincipleI – Interface Segregation PrincipleD – Dependency Inversion PrincipleUsing real-world examples and beginner-friendly language, you’ll learn what each principle means, why it matters, and how to apply it in your code.🧱 Write cleaner. Debug less. Think like a pro developer — starting now.
In this episode of Pithoracademy Presents: Deep Dive, we bring everything together with Kafka Architecture Patterns for E-Commerce — showing how real-world companies design scalable, event-driven systems.🔹 What you’ll learn:Logging pipelines with KafkaReal-time analytics for e-commerceKafka as the event backbone for data pipelinesHow end-to-end design ties everything togetherIf you want to see practical Kafka use cases in logging, analytics, and event-driven applications, this episode will help you understand the big-picture architecture used in modern e-commerce platforms.👉 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 #KafkaEcommerce #KafkaPatterns #EventDrivenArchitecture #RealTimeAnalytics #KafkaPipelines #ApacheKafka #SystemDesign #DataEngineering #Pithoracademy
In this episode of Pithoracademy Presents: Deep Dive, we unpack the essentials of Kafka Performance Tuning to help you build fast, cost-effective, and scalable data pipelines.🔹 What you’ll learn:Partition strategies for scalabilityKey producer configurations for performanceCompression techniques to optimize throughput & costWhy performance tuning is critical for scaling Kafka efficientlyWhether you’re managing Kafka in production or just starting to optimize your setup, this episode gives you the practical insights to tune Kafka like a pro.👉 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 #KafkaPerformance #KafkaTuning #ApacheKafka #KafkaOptimization #BigData #EventStreaming #SystemDesign #DataEngineering #Pithoracademy
In this episode of Pithoracademy Presents: Deep Dive, we dive into Kafka Multi-Cluster and Geo-Replication — key patterns for global scalability and disaster recovery.🔹 What you’ll learn:Multi-cluster Kafka setupsMirrorMaker basics explainedCross–data center replicationHow Kafka ensures business continuity for global appsIf you’re working on distributed systems, global applications, or DR (disaster recovery) strategies, this episode will help you understand how Kafka powers resilient, highly available architectures.👉 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 #KafkaMultiCluster #KafkaReplication #GeoReplication #MirrorMaker #ConfluentReplicator #ApacheKafka #DisasterRecovery #SystemDesign #Pithoracademy
In this episode of Pithoracademy Presents: Deep Dive, we explore how Event Sourcing and CQRS (Command Query Responsibility Segregation) work with Apache Kafka to build scalable, modern systems.🔹 What you’ll learn:Event sourcing basicsCQRS explained in simple termsUsing Kafka as the event storeWhy these patterns power modern architecturesWhether you’re new to system design, microservices, or event-driven architectures, this episode will help you understand how Kafka enables reliable event sourcing and CQRS in real-world applications.👉 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 #EventSourcing #CQRS #KafkaCQRS #KafkaEventSourcing #SystemDesign #EventDrivenArchitecture #Microservices #ApacheKafka #Pithoracademy
In this episode of Pithoracademy Presents: Deep Dive, we break down how to use Kafka with Microservices to build scalable, event-driven systems.🔹 What you’ll learn:Event-driven architecture explainedLoose coupling between servicesReal-world order processing exampleWhy Kafka is the backbone of modern microservicesIf you’re new to microservices or looking to understand event-driven design with Apache Kafka, this episode gives you the foundation to start building systems used across the industry.👉 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 #KafkaMicroservices #EventDrivenArchitecture #Microservices #ApacheKafka #EventStreaming #LooseCoupling #SystemDesign #BigData #Pithoracademy
In this episode of Pithoracademy Presents: Deep Dive, we explore Kafka Transactions — a must-know for developers building reliable and fault-tolerant data systems.🔹 What you’ll learn:Kafka transactions basicsExactly-once delivery explainedTransaction flow across producer & consumerWhy transactions are critical for financial & data-sensitive systemsIf you’re working with Kafka Streams, microservices, or real-time data pipelines, this episode will help you understand how to build data integrity & reliability into your architecture.👉 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 #KafkaTransactions #DataEngineering #StreamingData #EventStreaming #Microservices #ExactlyOnceDelivery #ApacheKafka #BigData #Pithoracademy
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
Welcome to PithorAcademy Presents: Deep Dive (S7E23). In this tech podcast episode, we break down Kafka Streaming and explain the difference between stateless vs stateful operations.You’ll learn:What makes an operation stateless vs statefulHow windows work in stream processingThe role of joins and aggregationsWhy some operations require memory/state while others don’tPerfect for beginners and developers looking to understand real-time data processing with Kafka Streams.🔗 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 #KafkaStreams #TechPodcast #DataEngineering #StreamProcessing #BigData #ApacheKafka #RealTimeData #KafkaTutorial #KafkaBeginners #PithorAcademy
In this episode of PithorAcademy Presents: Deep Dive, we explore the world of stream processing and how popular frameworks like Kafka Streams, Apache Spark, and Apache Flink handle data. Understanding the differences between batch, near-real-time, and real-time systems helps developers pick the right tool for the job.We cover:Kafka Streams vs Spark vs Flink – strengths and use casesBatch vs near-real-time vs real-time – processing models explainedKafka’s role in the stream processing ecosystem – where it fits and why it mattersBy the end, you’ll understand the streaming landscape and how these tools compare when building real-time, data-driven applications.🔗 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#StreamProcessing #Kafka #ApacheKafka #ApacheSpark #ApacheFlink #KafkaStreams #RealTimeData #KafkaVsSparkVsFlink #DataEngineering #KafkaForBeginners #StreamProcessingExplained #BatchVsStreaming #RealTimeAnalytics #KafkaTutorial #PithorAcademy #PithorAcademyPodcast #PithorAcademyDeepDive
In this episode of PithorAcademy Presents: Deep Dive, we introduce Kafka Streams, the powerful library that turns stored Kafka data into real-time insights. Kafka Streams makes it easy for developers to build event-driven applications directly on top of Kafka without needing an external processing cluster.We cover:Kafka Streams basics – what it is and why it mattersKStream vs KTable – core concepts for stream processingStateless vs Stateful operations – when and why to use themBy the end, you’ll understand how Kafka Streams empowers developers to build scalable, fault-tolerant, and real-time applications that process data as it arrives.🔗 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 #ApacheKafka #KafkaStreams #KafkaForBeginners #KafkaTutorial #KafkaStreamProcessing #KStreamVsKTable #KafkaEventStreaming #KafkaDataEngineering #RealTimeDataProcessing #KafkaStatelessVsStateful #KafkaMicroservices #PithorAcademy #PithorAcademyPodcast #PithorAcademyDeepDive
In this episode of PithorAcademy Presents: Deep Dive, we break down one of the most important choices in Kafka pipelines: serialization. The format you choose—JSON, Avro, or Protobuf—directly impacts performance, compatibility, and data evolution.We cover:JSON vs Avro vs Protobuf – strengths and weaknessesTrade-offs in serialization – speed, storage, compatibilityWhy JSON isn’t always the best choice for real-time systemsBy the end, you’ll know how to pick the right serialization format for your Kafka producers, consumers, and event-driven microservices.🔗 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 #ApacheKafka #KafkaSerialization #KafkaJSON #KafkaAvro #KafkaProtobuf #KafkaForBeginners #KafkaTutorial #KafkaDataFormats #KafkaEventStreaming #KafkaDataEngineering #SerializationExplained #KafkaPerformance #KafkaMicroservices #PithorAcademy #PithorAcademyPodcast #PithorAcademyDeepDive
In this episode of PithorAcademy Presents: Deep Dive, we explore the Kafka Schema Registry, the essential tool that keeps producers and consumers in sync. Without schemas, event-driven systems risk data chaos—but with the Schema Registry, you gain a reliable contract that ensures compatibility and stability in your pipelines.We cover:Schema Basics – why schemas matter in KafkaAvro + Registry – the most common serialization choiceCompatibility Modes – how to evolve schemas safely over timeBy the end, you’ll understand how the Schema Registry prevents breaking changes, enforces data contracts, and allows developers to confidently scale real-time 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 #ApacheKafka #KafkaSchemaRegistry #KafkaForBeginners #KafkaTutorial #KafkaAvro #KafkaDataContracts #KafkaCompatibility #KafkaEventStreaming #KafkaSerialization #RealTimeData #DataEngineering #SchemaRegistryExplained #KafkaMicroservices #KafkaPipelines #PithorAcademy #PithorAcademyPodcast #PithorAcademyDeepDive
In this episode of PithorAcademy Presents: Deep Dive, we introduce Kafka Connect, the framework that integrates Apache Kafka with the rest of your data ecosystem. Without Connect, Kafka is isolated—but with it, Kafka becomes the central nervous system of real-time data pipelines.We cover:Source & Sink Connectors – moving data into and out of KafkaETL Analogy – why Connect is like plug-and-play ETL for streamingPopular Connectors – databases, cloud storage, and enterprise systemsBy the end, you’ll understand how Kafka Connect simplifies integrations, reduces custom code, and makes Kafka truly production-ready by bridging it with external data 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 #ApacheKafka #KafkaConnect #KafkaForBeginners #KafkaTutorial #KafkaETL #KafkaConnectors #KafkaSources #KafkaSinks #KafkaIntegration #KafkaDataPipelines #KafkaEventStreaming #RealTimeData #DataEngineering #PithorAcademy #PithorAcademyPodcast #PithorAcademyDeepDive
In this episode of PithorAcademy Presents: Deep Dive, we cover Kafka Monitoring, a critical skill for keeping Apache Kafka clusters healthy and reliable. Proper monitoring prevents downtime, ensures performance, and gives operations teams visibility into real-time pipelines.We cover:Lag Basics – why consumer lag is the #1 health indicatorThroughput Metrics – measuring producer and consumer performanceKey Kafka Metrics – what to track for reliability and scalingMonitoring Tools – Prometheus, Grafana, and other ecosystem toolsBy the end, you’ll know how to set up effective monitoring dashboards that help detect issues early, optimize performance, and keep Kafka clusters running smoothly in production.🔗 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 #ApacheKafka #KafkaMonitoring #KafkaMetrics #KafkaLag #KafkaThroughput #KafkaPrometheus #KafkaGrafana #KafkaForBeginners #KafkaTutorial #KafkaClusterHealth #KafkaOperations #KafkaPerformance #EventStreaming #RealTimeData #DataEngineering #PithorAcademy #PithorAcademyPodcast #PithorAcademyDeepDive
In this episode of PithorAcademy Presents: Deep Dive, we focus on Kafka Security—a must-know for real-world and enterprise-grade deployments. Without strong security, Kafka pipelines are vulnerable and unsuitable for production.We cover:Encryption (SSL/TLS) – securing data in transitAuthentication (SASL, SSL) – verifying clients and brokersAccess Control (ACLs) – restricting who can produce and consumeBy the end, you’ll understand how to secure Apache Kafka clusters with encryption, authentication, and fine-grained access control, ensuring compliance, reliability, and enterprise readiness.🔗 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 #ApacheKafka #KafkaSecurity #KafkaEncryption #KafkaAuthentication #KafkaACLs #KafkaForBeginners #KafkaTutorial #KafkaSecurePipelines #KafkaEnterprise #KafkaClusterSecurity #EventStreaming #RealTimeData #DataEngineering #CyberSecurity #PithorAcademy #PithorAcademyPodcast #PithorAcademyDeepDive
In this episode of PithorAcademy Presents: Deep Dive, we unpack the Kafka Controller, often called the “brain of the broker system.” The controller plays a critical role in cluster coordination, failover, and broker leadership in Apache Kafka.We cover:Controller Broker Role – assigning leaders and managing brokersCluster Metadata Management – keeping Kafka consistentFailover Handling – ensuring resilience during broker failuresBy the end, you’ll understand why the Kafka Controller is vital for high availability, fault tolerance, and smooth cluster operation, making it a cornerstone for production-grade Kafka 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 #ApacheKafka #KafkaController #KafkaBroker #KafkaCluster #KafkaLeadership #KafkaFailover #KafkaMetadata #KafkaHighAvailability #KafkaForBeginners #KafkaTutorial #KafkaClusterManagement #KafkaResilience #EventStreaming #RealTimeData #DataEngineering #PithorAcademy #PithorAcademyPodcast #PithorAcademyDeepDive
In this episode of PithorAcademy Presents: Deep Dive, we explore Kafka’s Data Lifecycle, focusing on how retention and log compaction manage stored events in Apache Kafka. Kafka isn’t just a queue—it’s also a distributed log, and understanding how data is kept or removed is key to building reliable systems.We cover:Retention Policies – controlling how long Kafka stores dataLog Compaction – retaining the latest state of each keyKafka as a Queue vs a Log – why lifecycle management mattersBy the end, you’ll understand how Kafka balances storage efficiency, reliability, and stateful processing—making it powerful for streaming platforms like Uber, Netflix, and LinkedIn.🔗 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 #ApacheKafka #KafkaDataLifecycle #KafkaRetention #KafkaLogCompaction #KafkaForBeginners #KafkaTutorial #KafkaQueueVsLog #KafkaEventStreaming #KafkaDataManagement #RealTimeData #DataEngineering #EventStreaming #PithorAcademy #PithorAcademyPodcast #PithorAcademyDeepDive
In this episode of PithorAcademy Presents: Deep Dive, we dive into Kafka Replication, the backbone of durability and high availability in Apache Kafka. Without replication, data loss and downtime become major risks in production systems.We cover:In-Sync Replicas (ISR) – how Kafka ensures reliabilityLeader-Follower Model – distributing roles for resilienceFailover Handling – automatic recovery when brokers failBy the end, you’ll understand how replication makes Kafka fault-tolerant, production-ready, and resilient to failures—a must-know for developers, architects, and data engineers.🔗 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 #ApacheKafka #KafkaReplication #KafkaISR #KafkaFailover #KafkaDurability #KafkaHighAvailability #KafkaForBeginners #KafkaTutorial #KafkaResilience #KafkaEventStreaming #RealTimeData #DataEngineering #EventStreaming #PithorAcademy #PithorAcademyPodcast #PithorAcademyDeepDive
In this episode of PithorAcademy Presents: Deep Dive, we break down Kafka Delivery Semantics—the rules that define how reliably messages are delivered in Apache Kafka. Choosing the wrong delivery guarantee can mean lost data, duplicates, or system failures.We cover:At-Most-Once Delivery – fastest but may drop messagesAt-Least-Once Delivery – reliable but may cause duplicatesExactly-Once Delivery (EOS) – strongest guarantee with trade-offsReal-World Analogy – simplifying concepts with email deliveryBy the end, you’ll clearly understand how Kafka ensures data consistency, fault tolerance, and business-critical reliability—and when to use each delivery mode in real-world 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 #ApacheKafka #KafkaDeliverySemantics #AtMostOnce #AtLeastOnce #ExactlyOnce #KafkaReliability #KafkaForBeginners #KafkaTutorial #KafkaDataDelivery #KafkaStreaming #RealTimeData #EventStreaming #DataEngineering #PithorAcademy #PithorAcademyPodcast #PithorAcademyDeepDive
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