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aws.amazon.com /3 weeks ago

Build streaming applications on Amazon Managed Service for Apache Flink with AI-assisted guidance

In this post, we walk through installing the Power and Skill, using Amazon Kinesis Data Streams to build a Kinesis Data Stream-to-Kinesis Data Stream streaming pipeline, and migrat...

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aws.amazon.com /1 month ago

Migrate to Apache Flink 2.2 on Amazon Managed Service for Apache Flink

In this post, we explain what's new in Amazon Managed Service for Apache Flink 2.2, provide a guided migration using CLI commands, console instructions, and code examples, and show...

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aws.amazon.com /3 days 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 /1 month ago

Building unified data pipelines with Apache Iceberg and Apache Flink

In this post, you build a unified pipeline using Apache Iceberg and Amazon Managed Service for Apache Flink that replaces the dual-pipeline approach. This walkthrough is for interm...

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aws.amazon.com /1 week 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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towardsdatascience.com /1 month ago

System Design Series: Apache Flink from 10,000 Feet, and Building a Flink-powered Recommendation Engine

A deep dive into how Apache Flink works, why it exists, and learning it while building a real-time recommendation engine The post System Design Series: Apache Flink from 10,000 Fee...

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aws.amazon.com /1 month ago

Streamline Apache Kafka topic management with Amazon MSK

In this post, we show you how to use the new topic management capabilities of Amazon MSK to streamline your Apache Kafka operations. We demonstrate how to manage topics through the...

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aws.amazon.com /2 weeks ago

Streamlined monitoring and debugging for Amazon EMR on EC2

In this post, we walk you through five key enhancements: Amazon CloudWatch Logs integration, step-level Amazon Simple Storage Service (Amazon S3) logging controls, expanded console...

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aws.amazon.com /1 month ago

Migrate third-party and self-managed Apache Kafka clusters to Amazon MSK Express brokers with Amazon MSK Replicator

In this post, we walk you through how to replicate Apache Kafka data from your external Apache Kafka deployments to Amazon MSK Express brokers using MSK Replicator. You will learn...

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cloud.google.com /3 weeks ago

Scaling data and AI with Managed Service for Apache Airflow

Orchestration is no longer just about moving data; it is about governing enterprise intelligence. To reflect our deep commitment to and embrace of open-source software, we shared e...

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kai-waehner.medium.com /1 month ago

Apache Kafka and Flink in Retail: Social Commerce from Influencers to Inventory

Social networks are now commerce platforms. TikTok, Instagram, and Facebook combine entertainment, influencer content, and in-app checkout…Continue reading on Medium »

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aws.amazon.com /2 weeks ago

Detect and resolve HBase inconsistencies faster with AI on Amazon EMR

In this post, we show you how to build an AI-powered troubleshooting solution using Amazon OpenSearch Service vector search and intelligent analysis. This solution reduces HBase in...

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aws.amazon.com /1 month ago

Introducing Amazon MSK Express Broker power for Kiro

In this post, we'll show you how to use Kiro powers, a new capability that equips Kiro with contextual knowledge and tooling. You can simplify your MSK cluster management, from ini...

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aws.amazon.com /1 month ago

Stream live data from Amazon Keyspaces to S3 vector for real time AI applications

In this post, you learn how to build a real-time AI movie recommendation system by streaming live data changes from Amazon Keyspaces to Amazon S3 vector storage. The post shows how...

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aws.amazon.com /1 week ago

A systematic approach to benchmarking SQL processing engines on AWS

Selecting the right SQL processing solution for large-scale data analytics is a critical decision for organizations. As data volumes grow exponentially, the technology landscape ha...

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snowflake.com /1 month ago

Snowflake Kafka Connector V4

Experience up to 10 GB/s throughput and 50% cost savings with Snowflake Kafka Connector V4. Move ingestion logic server-side for better performance.

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dzone.com /1 month ago

End-to-End Event Streaming With Kafka, Spring Boot and AWS SQS/SNS (Production-Ready Code Guide)

Event-driven applications often demand high throughput, reliable delivery and flexible fan out messaging. Each platform in our stack plays a distinct role: Apache Kafka provides a...

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aws.amazon.com /1 day ago

Streamline external access to Amazon SageMaker MLflow using a REST API proxy

In this post, we demonstrate how to build a secure Flask-based MLflow proxy service that provides HTTPS access to Amazon SageMaker MLflow without requiring the MLflow SDK. This sol...

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dzone.com /1 week ago

AWS Managed Database Observability: Monitoring DynamoDB, ElastiCache, and Redshift Beyond CloudWatch

A DynamoDB throttle alarm fires at 2 am. You confirm the spike in CloudWatch, then check ElastiCache in a second dashboard, then Redshift in a third. Cache hit rate dropped, which...

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aws.amazon.com /1 week ago

Build petabyte-scale synthetic test data with Amazon EMR on EC2

As data volumes grow from terabytes to petabytes, the architecture for generating synthetic data must evolve to meet increasing demands for scale, performance, and data quality. In...

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aws.amazon.com /3 weeks ago

From data lake to AI-ready analytics: Introducing new data source with S3 Tables in Amazon Quick

Amazon Quick introduces Amazon S3 Tables (Apache Iceberg tables) as a new data source. With this feature, customers can directly query and visualize Apache Iceberg tables stored in...

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dzone.com /5 days ago

Build Self-Managing Data Pipelines With an LLM Agent

Six-hour data pipeline. Spot termination. Job crashes. 45 minutes of compute lost. Engineer paged at 2 AM. This isn't a tooling problem — it's a decision-making problem. And humans...

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aws.amazon.com /1 month ago

Using Apache Sedona with AWS Glue to process billions of daily points from a geospatial dataset

In this post, we explore how to use Apache Sedona with AWS Glue to process and analyze massive geospatial datasets.

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aws.amazon.com /1 month ago

Introducing workload simulation workbench for Amazon MSK Express broker

In this post, we introduce the workload simulation workbench for Amazon Managed Streaming for Apache Kafka (Amazon MSK) Express Broker. The simulation workbench is a tool that you...

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