If you want to learn more about patterns for using Amazon Managed Streaming for Apache Kafka (MSK) for multi-tenant architectures, read the latest blog post I wrote with my colleagues Emanuele Levi, PhD and Nicholas Tunney. https://lnkd.in/g__HNnJs #aws #streamingdata #msk #kafka #multitenant #saas
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Exciting news! Check out our latest blog post on safely removing Kafka brokers from Amazon MSK provisioned clusters. Make Kafka easy with Amazon MSK!! https://lnkd.in/g73JdD3H #AWS #Kafka #MSK #realtime
Safely remove Kafka brokers from Amazon MSK provisioned clusters | Amazon Web Services
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Real-time data streaming presents scalability challenges. AWS offers managed streaming services like Amazon MSK to achieve massive scale in event processing. #aws #awscloud #cloud #amazonmanagedstreamingforapachekafkaamazonmsk #analytics #customersolutions #intermediate200
Nexthink scales to trillions of events per day with Amazon MSK
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Check out our latest blog post about how to use Amazon Web Services (AWS)'s S3 Express One Zone storage class with WarpStream to reduce latency by 4x, while still keeping costs and operations burden under control! We're very excited to have this one featured on the AWS Storage blog - go take a look! https://lnkd.in/ewU9kABu
How WarpStream enables cost-effective low-latency streaming with Amazon S3 Express One Zone | Amazon Web Services
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Kafka vs Amazon MQ on AWS: A Comprehensive Comparison In the world of messaging systems, Kafka and Amazon MQ stand out as two prominent solutions, each with its unique strengths and applications. In this blog post, we'll compare Kafka and Amazon MQ, focusing on their pros and cons, typical use cases, and provide a brief guide on how to set up and access each on AWS. https://lnkd.in/dYSWXtqA
Kafka vs Amazon MQ on AWS: A Comprehensive Comparison
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EchoStar deployed the first standalone, cloud-native Open RAN 5G network on AWS. They use Amazon Redshift for real-time analysis of network data, migrating to a multi-warehouse architecture to handle growing data volumes. #aws #awscloud #cloud #amazonmanagedstreamingforapachekafkaamazonmsk #amazonredshift #customersolutions #experiencebasedacceleration #expert400 #technicalhowto
How EchoStar ingests terabytes of data daily across its 5G Open RAN network in near real-time using Amazon Redshift Serverless Streaming Ingestion
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📰🚨Introducing Express brokers for Amazon MSK to deliver high throughput and faster scaling for your Kafka clusters by Channy Yun (윤석찬) 📈 AWS introduces Express brokers for Amazon MSK! Experience up to 3x throughput per broker, 20x faster scaling, and 90% quicker recovery. Simplifying Kafka management while enhancing resilience makes it a game-changer for your streaming apps! #AWS #Kafka #MSK 🚀 #AWSNews #AWS
Introducing Express brokers for Amazon MSK to deliver high throughput and faster scaling for your Kafka clusters | Amazon Web Services
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Kafka vs Amazon MQ on AWS: A Comprehensive Comparison In the world of messaging systems, Kafka and Amazon MQ stand out as two prominent solutions, each with its unique strengths and applications. In this blog post, we'll compare Kafka and Amazon MQ, focusing on their pros and cons, typical use cases, and provide a brief guide on how to set up and access each on AWS. https://lnkd.in/dNMM-bGD
Kafka vs Amazon MQ on AWS: A Comprehensive Comparison
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AWS Lambda now improves the responsiveness for configuring Event Source Mappings (ESMs) and Amazon EventBridge Pipes with event sources such as self-managed Apache Kafka, Amazon Managed Streaming for Apache Kafka (MSK), Amazon DocumentDB, and Amazon MQ. This enhancement allows changes—such as updating, disabling, or deleting ESMs or Pipes—to take effect within 90 seconds, an improvement from the previous time frame of up to 15 minutes. #AWS #AmazonWebServices #AWSBlogs #Cloud #CloudComputing #Serverless #lambda
AWS Lambda improves responsiveness for configuring stream and queue-based event sources
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AWS Lambda now improves the responsiveness for configuring Event Source Mappings (ESMs) and Amazon EventBridge Pipes with event sources such as self-managed Apache Kafka, Amazon Managed Streaming for Apache Kafka (MSK), Amazon DocumentDB, and Amazon MQ. This enhancement allows changes—such as updating, disabling, or deleting ESMs or Pipes—to take effect within 90 seconds, an improvement from the previous time frame of up to 15 minutes. #AWS #AmazonWebServices #AWSBlogs #Cloud #CloudComputing #Serverless #lambda
AWS Lambda improves responsiveness for configuring stream and queue-based event sources
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AWS Lambda now improves the responsiveness for configuring Event Source Mappings (ESMs) and Amazon EventBridge Pipes with event sources such as self-managed Apache Kafka, Amazon Managed Streaming for Apache Kafka (MSK), Amazon DocumentDB, and Amazon MQ. This enhancement allows changes—such as updating, disabling, or deleting ESMs or Pipes—to take effect within 90 seconds, an improvement from the previous time frame of up to 15 minutes. #AWS #AmazonWebServices #AWSBlogs #Cloud #CloudComputing #Serverless #lambda
AWS Lambda improves responsiveness for configuring stream and queue-based event sources
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CTO @ Mesh-AI | Data-Driven Transformations
6moReally interesting article, thanks for sharing Lorenzo Nicora. Have you observed these 3 strategies being used evenly in the real world or is there a dominant one?