In the modern world, data is no longer just numbers - it's the driving force behind every successful business decision and technological innovation. With exponential growth in data volumes, the ability to collect, analyze, and leverage data efficiently is critical to success. In the data world, there are three main roles — each responsible for a different stage in the process. Data Analyst The Data Analyst examines existing data and produces business insights. Their primary role is to bridge...

In the world of Observability and Analytics, the ELK Stack — comprised of Elasticsearch, Logstash, and Kibana — is a dominant and popular toolset for managing, collecting, and analyzing logs, metrics, and events in real time. E – Elasticsearch: The Distributed Search and Analytics Engine Elasticsearch is the core of the Stack. It's a distributed and versatile search and analytics engine designed to handle massive data volumes (Big Data) at high speed. The system enables indexing, searching,...

Logstash is one of the most powerful tools in the world of Data Engineering and Observability. It's an open-source component from Elastic, designed to collect, process, and transfer data from various sources. It's an integral part of the Elastic Stack (ELK Stack) alongside Elasticsearch and Kibana. How Does it Work? Logstash can collect data from a vast array of sources — log files, databases, APIs, cloud systems, message queues, and syslog. It supports protocols like TCP, UDP, HTTP, Kafka,...