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Monetizing APIs, Data through usage-based billing

A guide to evolving new revenue streams in SaaS and beyond.

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Integrating APIs and Event Streaming: for fun and profit

How to progressively get the best out of RESTful and event-driven architectures.

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Building whatever (X) as a service: XaaS

An architecture primer for SaaS upstarts.

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Real-time Data on Prime-Time

How to build intelligent applications and platforms to process data within seconds.

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A Platform engineering manifesto

Platform Engineering is dead. Long live platform engineering!

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The 3 pillars of Platform architecture

How to solve for data, connectivity and infrastructure foundations & platform primitives.

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Stream Oracle DB Changes to Redis with Confluent Platform: An End-to-End Guide

Platform Engineering is dead. Long live platform engineering!

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Debezium with Oracle DB and LogMiner for Change Data Capture on Confluent Platform

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Debezium with Oracle DB and OpenLogReplicator for Change Data Capture on Confluent Platform

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Demystifying Oracle CDC with Confluent: How Database Changes Flow into Kafka

This blog explains how the Confluent Oracle CDC Source Connector streams Oracle database changes—including primitive and LOB data—into Kafka using redo-log-based Change Data Capture.

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All Posts

TechMart Enterprise Voice Agent: Building a Sovereign AI Voice Support System for Indian Telecom

TechMart Enterprise Voice Agent: Building a Sovereign AI Voice Support System for Indian Telecom

How do you build a real-time, telephony-native AI agent that handles customer support calls end-to-end in native Indian languages, without a human in the loop? This post walks through the...

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Streaming Kafka Data into Oracle: JDBC Sink Connector, Upserts, and LOB Handling

Streaming Kafka Data into Oracle: JDBC Sink Connector, Upserts, and LOB Handling

Data streaming projects often begin by capturing source data into Kafka. The next step is delivering that data to downstream systems, such as Oracle databases, for reporting, application integration, modernization,...

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Flink vs Spark: A Real-World Latency Showdown with Kafka

Flink vs Spark: A Real-World Latency Showdown with Kafka

A real-world latency comparison between Apache Spark and Apache Flink using Kafka under high-throughput streaming workloads.

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How to integrate WASM with Redpanda

How to integrate WASM with Redpanda

Discover the powerful combination of WebAssembly (WASM) and Redpanda in our latest blog post! Learn how to perform real-time data transformations directly within Redpanda, minimizing latency and maximizing efficiency. With...

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Migrating from Kafka Connect to Redpanda Connect

Migrating from Kafka Connect to Redpanda Connect

Looking to upgrade your data processing? Learn how moving from Kafka Connect to Redpanda Connect can boost your efficiency. Redpanda Connect, formerly Benthos, offers a lightweight, flexible alternative with powerful...

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Understanding Redpanda Connect / Benthos

Understanding Redpanda Connect / Benthos

Learn how Redpanda Connect, formerly Benthos, simplifies real-time data streaming and processing. This blog covers its key features, practical use cases, and a comparison to Kafka Connect. Dive in to...

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Exploring Kafka UI Solutions: Features, Comparisons, and Use Cases

Exploring Kafka UI Solutions: Features, Comparisons, and Use Cases

Curious about the best ways to manage your Apache Kafka clusters? This blog explores the top UI tools that make monitoring and managing Kafka easier. Whether you want to browse...

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Operational DB Migrations with Zero Downtime

Operational DB Migrations with Zero Downtime

Operational DB Migrations with Zero Downtime

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How to migrate Kafka clusters without downtime

How to migrate Kafka clusters without downtime

Migrating Kafka clusters can be challenging, but with the right approach, you can minimize downtime and ensure a smooth transition. Explore our guide for practical steps and strategies to help...

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