When talking about Apache Kafka, two very important concepts are offsets and consumer groups. These two work together to make sure messages are read correctly, even when there are many consumers.
Partitions, Replication, and Fault Tolerance in Kafka
Delivery Semantics in Kafka: At Most Once, At Least Once, Exactly Once
Producers and Consumers: How Data Flows in Kafka
Kafka Architecture Explained: Brokers, Topics, Partitions, and Offsets
Security Best Practices for RabbitMQ in Production
Introduction RabbitMQ is powerful and widely used in production. But if it is not secured, attackers may read, change, or delete your messages. Security is not only about protecting data, but also about making sure your system stays reliable. This article shows the most important security best practices when running RabbitMQ in production.
Understanding RabbitMQ Virtual Hosts (vhosts) and Their Uses
Introduction In RabbitMQ, a virtual host (vhost) is like a “namespace” or “container” inside the broker.It separates exchanges, queues, and bindings so different applications or environments can share the same RabbitMQ cluster without interfering with each other. If you know databases: What is a vhost? By default, RabbitMQ creates one vhost: /.
RabbitMQ Performance Tuning: Optimizing Throughput and Latency
Introduction RabbitMQ is fast, but performance can go down if it is not configured well.Two key metrics are: This article explains simple ways to tune RabbitMQ for better throughput and lower latency. This article is a continuation of my earlier posts on High Availability in RabbitMQ: Clustering and Mirrored Queues Explained and Scaling Microservices with…
High Availability in RabbitMQ: Clustering and Mirrored Queues Explained
Introduction High Availability (HA) means your system can keep working even if some parts fail. In RabbitMQ, HA is very important because if the broker goes down, messages may be lost, or services may stop. RabbitMQ offers two main features for HA: This article explains these features in simple terms.