Lenses 4.2 brings extends data observability into PostgreSQL instances to better explore and debug your streaming microservices. Here, Andrea walks you through creating a connection to #Postgres and exploring data with #SQL

Matteo de Martino from the Lenses.io Engines team shows you how to read, process & manipulate streaming data with #SQL in any #ApacheKafka. Plus a look at why we use SQL as a common language for streaming in the first place.

Adamos Loizou walks through how to wrangle data in #Kafka.

Automate your deployment of Lenses.io for your #AWS Managed Streaming for #ApacheKafka (#MSK) directly into your AWS VPC through portal.lenses.io. You'll be practicing #DataOps in minutes.

Explore Apache Kafka & Lenses.io through a demo environment packed with sample data and data flows.

David Esposito, a Solutions Architect from #Aiven, explores load testing in Kafka Office Hours, a recurring forum for #ApacheKafka thought-sharing hosted by our partner Lenses.io.

Walkthrough of how to create custom Serde classes that deserialise #Protobuf data in #ApacheKafka to explore and process in Lenses.io with #SQL

The new open-source #ApacheKafka Connect sink connector for #S3 gives you full control on how to sink data to S3 and save money on long term storage costs in #Kafka. The connector has the ability to flush data out in a number of different formats including #AVRO, #JSON, #Parquet and #Binary as well as ability to create S3 buckets based on partitions, metadata fields and value fields.

Demo of how to manage your #KafkaConnect connectors in Lenses.io with #SQL support for mapping fields between source & target systems, #RBAC and secret management to avoid exposing credentials in your configuration.