Principal Software Engineer
Sandip Gahlot
Sandip Gahlot's contributions
Article
OpenShift AI observability summarizer: Transform metrics into meaning
Learn how the Red Hat OpenShift AI observability summarizer transforms raw time-series data from Prometheus into actionable, human-readable insights for platform teams. Discover the five-layer pipeline architecture and how it reduces noise and increases signal for a focused answer.
Article
Deploy ChatQnA on OpenShift with AMD Instinct
Learn how to deploy Open Platform for Enterprise AI ChatQnA application in OpenShift with AMD Instinct hardware.
Article
Stream processing with ksqlDB in OpenShift Streams for Apache Kafka
Apache Kafka is an open-source distributed streaming platform used for stream processing, real-time data pipelines, and data integration at scale. SQL (Structured Query Language) is a standardized programming language that is used to manage relational databases and perform various operations on their data. This first article in a series of three describes how we can leverage on ksqlDB to process Apache Kafka streams using the industry standard SQL query language.
OpenShift AI observability summarizer: Transform metrics into meaning
Learn how the Red Hat OpenShift AI observability summarizer transforms raw time-series data from Prometheus into actionable, human-readable insights for platform teams. Discover the five-layer pipeline architecture and how it reduces noise and increases signal for a focused answer.
Deploy ChatQnA on OpenShift with AMD Instinct
Learn how to deploy Open Platform for Enterprise AI ChatQnA application in OpenShift with AMD Instinct hardware.
Stream processing with ksqlDB in OpenShift Streams for Apache Kafka
Apache Kafka is an open-source distributed streaming platform used for stream processing, real-time data pipelines, and data integration at scale. SQL (Structured Query Language) is a standardized programming language that is used to manage relational databases and perform various operations on their data. This first article in a series of three describes how we can leverage on ksqlDB to process Apache Kafka streams using the industry standard SQL query language.
