coding is an art form
Modern systems generate millions of logs every day, from API servers, databases, applications, and containers. Managing, searching, and visualizing all of these logs in real-time is not easy. This is where the ELK Stack, Elasticsearch, Logstash, and Kibana, comes in.When combined with Beats, it becomes one of the most powerful and flexible log management systems…
When your Elasticsearch grows very large, managing all indices by hand becomes impossible.Old data takes space, slows down queries, and increases cost. Index Lifecycle Management (ILM) helps you automate this, deciding when to roll over, move, merge, freeze, or delete indices automatically. This article explains ILM in simple English, including the frozen phase and how…
Reindexing or upgrading Elasticsearch can be risky when your system is already in production.If you change mappings, update analyzers, or move to a new version, stopping the cluster is not an option.That’s where the blue-green strategy helps, it allows you to build a new index (or cluster), test it, and switch traffic smoothly without downtime.
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 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.
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…
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.