How to gain observability across Kafka topics and Elasticsearch
How to connect Lenses to your Kafka and Elasticsearch environment for unified data observability
How to gain observability across Kafka topics and Elasticsearch launched on April 2, 2020 with 18 votes, #1,129 of 5,003 launches that month and more than 75% of that year's launches. The site was still online in September 2026, 6 years on.
In plain words
Lenses provides observability tools for Kafka topics and Elasticsearch, helping developers monitor and understand their data streaming infrastructure. It offers visibility into Kafka clusters and Elasticsearch deployments through a centralized platform. The product is designed for teams managing complex data pipelines who need real-time insights into their messaging and search systems. Lenses enables users to track data flow, diagnose issues, and optimize performance across these critical infrastructure components.
written from the facts on this page · September 2026
From the sources
In Lenses 3.1 we introduced the ability to explore and discover data and metadata in Elasticsearch indices. All in the same self-service fashion that you currently use Lenses to explore data in your Kafka topics via a UI or CLI with SQL. The unified visibility and data discovery is important to meet data governance requirements. It's also very powerful for developers or data engineers to investigate whilst building or debugging a flow or microservice without all the back n fourths between different tools and teams. In this blog post we are going to walk your through how to connect Lenses to an existing Elasticsearch server and explore data . In order for Lenses to be able to look at…from lenses.io
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