Social Media Ideas for Amazon Managed Streaming For Apache Kafka (Amazon Msk)

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aws.amazon.com /1 month ago

How Buildkite Operates Test Analytics at Massive Scale with Amazon MSK and Amazon Managed Service for Apache Flink

In this post, we explore how Buildkite uses Amazon Managed Streaming for Apache Kafka (Amazon MSK) and Amazon Managed Service for Apache Flink to power Test Engine’s streaming-firs...

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aws.amazon.com /2 days ago

How Razorpay Built Real-Time Anomaly Detection with Amazon MSK

In this post, we explore Razorpay’s anomaly detection and alerting platform (ADA) architecture using Amazon Managed Streaming for Apache Kafka (Amazon MSK) and other AWS services....

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aws.amazon.com /1 month ago

Migrate JMS applications to Amazon MQ for RabbitMQ with minimal changes

This post shows you how to migrate your JMS applications and walks through a complete setup, from creating the broker to sending and receiving messages. You will also see a real-wo...

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aws.amazon.com /1 month ago

Amazon Quick integration with time-series databases for market intelligence using MCP

In this post, we walk through a practical implementation using KDB-X MCP server integration with Amazon Quick, demonstrating how traders and analysts can ask questions using conver...

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aws.amazon.com /1 month ago

Implementing real-time change data capture with Debezium for Amazon Aurora PostgreSQL and Amazon RDS for PostgreSQL

In this post, we demonstrate how to implement a production-ready CDC solution by using Amazon Aurora for PostgreSQL, Debezium connectors, and Amazon Managed Streaming for Apache Ka...

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aws.amazon.com /1 month ago

Real-time CDC from Aurora PostgreSQL to Amazon S3 Tables using Debezium and Firehose

In this post, we show you how to build a CDC pipeline that delivers query-ready Iceberg tables directly. The pipeline captures inserts, updates, and deletes from Aurora PostgreSQL...

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aws.amazon.com /1 month ago

Build stateful streaming applications with Apache Spark 4.0 on Amazon EMR Serverless

In this post, we demonstrate how to build a production-ready IoT device monitoring system using Spark 4.0’s transformWithState API on Amazon EMR Serverless. This example showcases...

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aws.amazon.com /1 month ago

Announcing general availability of Apache Spark 4.0 on Amazon EMR

With this general availability announcement, Spark 4.0 is now supported across Amazon EMR Serverless, Amazon EMR on EC2, and Amazon EMR on EKS deployment options. In this post, you...

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dzone.com /3 weeks ago

Implementing Asynchronous Communication Between Microservices Using Kafka and Spring Boot

In a microservices system, that tight coupling turns a small hiccup into a cascading slowdown. Thread pools fill, retries amplify traffic, and suddenly your simple request is block...

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devops.com /1 week ago

Developing Real-Time Event Processing With Micronaut and Kafka Streams: A Step-by-Step Guide

Learn how to develop lightweight, high-performance stream processing applications in Java with contemporary frameworks

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simplilearn.com /3 weeks ago

Top 45+ Kafka Interview Questions And Answers | Simplilearn

TL;DR: Kafka interviews test fundamentals, architecture, producers, consumers, streams, and real-world troubleshooting. Strong candidates should explain topics, partitions, offsets...

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aws.amazon.com /3 weeks ago

Introducing Private Networking for Amazon MQ for RabbitMQ

In this post, we explain how Private Networking for Amazon MQ for RabbitMQ works and walk through the setup process. Whether you’re securing a private identity provider, federating...

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aws.amazon.com /1 week ago

Serverless analytics pipelines using the Apache Spark engine in Amazon Athena

This post shows how developers, data engineers, and analysts can connect to a secure Spark Connect endpoint in Athena with Apache Spark. You can use your preferred tools, such as J...

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medium.com /1 week ago

7 Apache Kafka Design Patterns Every Backend Engineer Should Know

Apache Kafka has become the de facto standard for real-time data streaming and event-driven architectures. But simply adopting Kafka isn’t…Continue reading on Medium »

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simplilearn.com /3 weeks ago

Kafka Vs RabbitMQ: Key Differences & Features Explained | Simplilearn

Reviewed and fact-checked by Sayantoni Das We work and live in a time when we rely increasingly on data to get things done. Applications, services, software, mobile devices, and o...

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aws.amazon.com /1 month ago

Announcing Spark Connect on Amazon EMR Serverless: Interactive PySpark development, anywhere

Today, AWS is announcing support for Spark Connect on Amazon EMR Serverless with EMR release 7.13 (Apache Spark 3.5.6) and later versions. You can now build and debug Spark applica...

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dataengineeringcentral.substack.com /1 month ago

Databricks Zerobus - Event Streams + Lake House (be gone Kafka)

it's always something you know

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aws.amazon.com /1 week ago

Streaming benchmark and recommendation results to MLflow with Amazon SageMaker AI

In this post, you learn how to use the new MLflow integration with Amazon SageMaker AI optimized inference recommendation jobs and Amazon SageMaker AI benchmark jobs to automatical...

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dzone.com /1 month ago

Combining Temporal and Kafka for Resilient Distributed Systems

Kafka and Temporal address different failure boundaries, and resilient distributed systems often need both rather than one as a substitute for the other. Kafka is built to move ord...

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aws.amazon.com /1 month ago

Build an enterprise observability solution for Amazon Quick

When hundreds to thousands of users are onboarded to an enterprise AI platform, business leaders and platform owners need visibility into who is using the platform, whether users a...

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javacodegeeks.com /2 weeks ago

Kafka Without ZooKeeper (KRaft): What Java Developers Actually Need to Reconfigure

For over a decade, running Apache Kafka in production meant running two distributed systems simultaneously. Kafka handled message streaming; ZooKeeper handled cluster metadata, con...

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dzone.com /1 month ago

Event-Driven Pipelines With Apache Pulsar and Go

A Practical Walkthrough Most distributed systems eventually hit a wall with their messaging layer, whether it's Kafka's tight coupling between compute and storage, RabbitMQ's limit...

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aws.amazon.com /1 week ago

Accelerating log analytics at scale with AWS Glue and Apache Iceberg materialized views

In this post, you learn how to build an application log pipeline for production use with Amazon CloudWatch Logs, AWS Lambda, Amazon Data Firehose, AWS Glue, and Apache Iceberg mate...

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aws.amazon.com /1 month ago

How Smartsheet built Real-time Dynamic Filtering on Apache Flink reducing $40K/month in messaging costs

In this post, you learn how Smartsheet built a Real-time Dynamic Filtering (RDF) system on Amazon Managed Service for Apache Flink, cutting messaging costs by over $40,000 per mont...

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