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
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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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AWS Lambda is improving the automatic scaling behavior when processing data from Apache Kafka event-sources. Lambda is increasing the default number of initial consumers, improving how quickly consumers scale up, and helping to ensure that consumers don’t scale down too quickly. There is no additional action that you must take, and there is no additional cost. #AWS #AmazonWebServices #AWSBlogs #Cloud #CloudComputing #Serverless #Lambda
Scaling improvements when processing Apache Kafka with AWS Lambda | Amazon Web Services
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Principal Partner Solutions Architect at Amazon Web Services We are looking for the brightest diverse builders to join AWS. Come join us!
AWS Lambda is improving the automatic scaling behavior when processing data from Apache Kafka event-sources. Lambda is increasing the default number of initial consumers, improving how quickly consumers scale up, and helping to ensure that consumers don’t scale down too quickly. There is no additional action that you must take, and there is no additional cost. #AWS #AmazonWebServices #AWSBlogs #Cloud #CloudComputing #Serverless #Lambda
Scaling improvements when processing Apache Kafka with AWS Lambda | Amazon Web Services
aws.amazon.com
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AWS Lambda is improving the automatic scaling behavior when processing data from Apache Kafka event-sources. Lambda is increasing the default number of initial consumers, improving how quickly consumers scale up, and helping to ensure that consumers don’t scale down too quickly. There is no additional action that you must take, and there is no additional cost. #AWS #AmazonWebServices #AWSBlogs #Cloud #CloudComputing #Serverless #Lambda
Scaling improvements when processing Apache Kafka with AWS Lambda | Amazon Web Services
aws.amazon.com
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AWS Solutions Architect | CCNP X2 (RnS&Security) | CCNA CyberOps | AWS X10 | AWS SME X2 | AWS User Group Women Colombia Co-founder | Women at Amazon LATAM Lead | Networking TFC
AWS Lambda is improving the automatic scaling behavior when processing data from Apache Kafka event-sources. Lambda is increasing the default number of initial consumers, improving how quickly consumers scale up, and helping to ensure that consumers don’t scale down too quickly. There is no additional action that you must take, and there is no additional cost. #AWS #AmazonWebServices #AWSBlogs #Cloud #CloudComputing #Serverless #Lambda
Scaling improvements when processing Apache Kafka with AWS Lambda | Amazon Web Services
aws.amazon.com
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AWS Lambda is improving the automatic scaling behavior when processing data from Apache Kafka event-sources. Lambda is increasing the default number of initial consumers, improving how quickly consumers scale up, and helping to ensure that consumers don’t scale down too quickly. There is no additional action that you must take, and there is no additional cost. #AWS #AmazonWebServices #AWSBlogs #Cloud #CloudComputing #Serverless #Lambda
Scaling improvements when processing Apache Kafka with AWS Lambda | Amazon Web Services
aws.amazon.com
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Senior Technical Account Manager (GFS) na Amazon Web Services (AWS) | 7x AWS Certified
AWS Lambda is improving the automatic scaling behavior when processing data from Apache Kafka event-sources. Lambda is increasing the default number of initial consumers, improving how quickly consumers scale up, and helping to ensure that consumers don’t scale down too quickly. There is no additional action that you must take, and there is no additional cost. #AWS #AmazonWebServices #AWSBlogs #Cloud #CloudComputing #Serverless #Lambda
Scaling improvements when processing Apache Kafka with AWS Lambda | Amazon Web Services
aws.amazon.com
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You can now use Valkey for ElastiCache or MemoryDB workloads. A great reason to move is that Valkey on AWS offers smaller datastorage options (starting at 100mb for serverless) which can help reduce cost for your experiments, mvp and less demanding workloads. See in this blog how to migrate from Elasticache to Valkey with zero downtime.
Get started with Amazon ElastiCache for Valkey | Amazon Web Services
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Express brokers provide unmatched Kafka performance on AWS with 3x throughput, 20x faster scaling, 90% faster recovery. This streamlines operations and cuts infrastructure costs by 50%. #aws #awscloud #cloud #amazonmanagedstreamingforapachekafkaamazonmsk #analytics #announcements #featured #launch #news
Introducing Express brokers for Amazon MSK to deliver high throughput and faster scaling for your Kafka clusters
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If you are hosting your application on the Elastic Kubernetes Service (EKS) on AWS you have two choices for compute. You can use traditional EC2 instances as worker nodes in your cluster or you can use Fargate compute where AWS takes care of the VMs. This example from Shekhar Chaugule shows how you can deploy an app on EKS with Fargate including setting up an Application Load Balancer (ALB) Ingress Controller to route traffic to the app. https://lnkd.in/eVmbiZSH
Deploying 2048 on Amazon EKS with Fargate and ALB Ingress Controller.
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CTO + Co-founder at Inngest
6moGreat post Richie!