Our experts, Krzysztof Grajek and Grzegorz Kocur, will be speaking at the Data Streaming Meetup in Kraków. View the agenda and join the event: https://meetup.com/krakow-kafka/events/314177442/
#ApacheKafka #DataStreaming #Confluent #Krk #Meetup #StreamProcessing #Rustlang #DevOps

How Reddit Migrated Petabyte-Scale Kafka from EC2 to Kubernetes
In this article, we will look at the breakdown of this migration, the challenges the engineering team faced, and how they achieved their goal of a successful migration.
ByteByteGo NewsletterReal-Time Retail Data Pipeline
#apachekafka
An end-to-end data engineering pipeline that processes raw e-commerce data from multiple streaming sources into analytics-ready datasets using industry-standard tools and architecture.
https://github.com/jinalkhona01-collab/retail-pipeline

GitHub - jinalkhona01-collab/retail-pipeline: The pipeline follows an ELT (Extract, Load, Transform) pattern built on the Kappa architecture -a single pipeline with streaming ingestion and batch transformation.
The pipeline follows an ELT (Extract, Load, Transform) pattern built on the Kappa architecture -a single pipeline with streaming ingestion and batch transformation. - jinalkhona01-collab/retail-pip...
GitHubHandling Failed Kafka Events with Retry Topic and DLQ in Spring Boot
#apachekafka
https://riteshpanigrahi.com/blog/retry-topic-dlq-pattern
Handling Failed Kafka Events with Retry Topic and DLQ in Spring Boot | Ritesh Panigrahi
Learn how to handle failed Kafka events using a retry topic and dead-letter queue in Spring Boot.
Kafka Is Not an Event Store: A Love Letter to the Wrong Tool
#apachekafka
https://karoxi.dev/blog/kafka_not_an_event_store
MessageStore.v1 | High-Performance gRPC Event Store
The invisible infrastructure for your facts. Built for high concurrency and operational peace of mind.
Kafka Safe Producer Defaults and Version Compatibility Explained
Understand Kafka safe producer defaults, idempotence, and version compatibility. Learn when to configure safe producer settings for Kafka brokers and clients.

Kafka Rewards the Paranoid: 11 Surprises
11 Kafka behaviors we found helping customers, then validated in the source code. Silent safety bypasses, configs that lie, compression traps.
ConduktorKafka Consumer Lag Explained
#apachekafka
A engineer’s guide — from how offsets really work, through a live e-commerce incident, to a Prometheus alerting playbook and a troubleshooting decision tree.
https://devopsguyankit.substack.com/p/kafka-consumer-lag-explained

Kafka Consumer Lag Explained
A engineer’s guide — from how offsets really work, through a live e-commerce incident, to a Prometheus alerting playbook and a troubleshooting decision tree.
DevOps IN SPACE
How to Build a Streaming Word Count App with Kafka Streams in Java
Real-time data processing is at the heart of modern data systems. Whether you’re analyzing logs, monitoring user activity, or building…
Medium