Elasticsearch can handle millions or even billions of documents. It is fast and scalable, but only if you manage it correctly. When your data grows very large, bad shard planning or poor data balance can make the cluster slow or unstable. This article explains how to maintain very large datasets in Elasticsearch, including the trade-offs…
Elasticsearch Best Practices for Beginners
Elasticsearch is powerful, but it can also be confusing for new users.Many people make mistakes that slow down performance, waste memory, or even break the cluster.This article explains best practices for beginners — simple rules that help you build a stable and fast Elasticsearch setup.
Implementing the Outbox Pattern with Debezium
Production-Grade Debezium Connector with Kafka (Postgres Outbox Example – E-Commerce Orders)
Connecting Debezium with Kafka for Real-Time Streaming
Debezium Architecture – How It Works and Core Components
Introduction Modern systems need to move data fast and in real time. A small change in a database, like a new order or an update to a customer’s profile, must reach many systems instantly: analytics dashboards, search engines, caches, or other microservices. Debezium helps solve this challenge. It is an open-source platform for Change Data…
What is Debezium? – An Introduction to Change Data Capture
Introduction Today, many companies need to move data quickly from one system to another. For example, when a new order is made in an online shop, that order data must be sent to many other systems: payment, inventory, shipping, and reports. Doing this manually is slow and complex. This is where Debezium comes in.


