Author: Amazon Web Services

Feed: What's New. Redis Cluster allows for datasets to be automatically sharded across multiple Redis nodes. You can add replicas to increase your cluster’s read throughput, and serve high-volume application read traffic. Additionally, read replicas can also be used to enable auto failover and improve availability. With this new feature, you can right-size your Redis cluster’s read capacity without the hassle of taking a manual snapshot and restoring it to a new cluster with the desired number of read replicas per shard. Instead, you can easily add or remove replicas to one or more shards, and ElastiCache takes care of ... Read More

Feed: AWS Partner Network (APN) Blog. Author: AWS Admin. By Carlos Escapa, Global AI/ML Practice Lead at AWSBy Jorge Lopez, Global Segment Lead – Big Data at AWSAdvanced analytics and data products have become a primary source of value generation. Customers and AWS Partner Network (APN) Partners need better, faster, and more relevant insights from their data in order to stay ahead of the competition. But using data effectively requires a data architecture, where raw data can effectively be collected, categorized, and transformed into valuable insights. A data lake architecture can provide a solid foundation and allow you to store ... Read More

Feed: What's New. Parallel Query takes advantage of Aurora’s architecture by pushing processing down to the Aurora storage layer, spreading computation across thousands of nodes. By pushing query computation down to the storage layer where possible, Parallel Query limits CPU, memory, and network contention with the core workload. The feature is available for the MySQL 5.6-compatible edition of Amazon Aurora, and is currently available in the US East (N. Virginia), US East (Ohio), US West (Oregon), EU (Ireland), and Asia Pacific (Tokyo) Regions. You can get started by creating an Aurora cluster in the Amazon RDS Management Console and enabling ... Read More

Feed: What's New. AWS Database Migration Service (AWS DMS) and the AWS Schema Conversion Tool (AWS SCT) make it easier for you to migrate your Apache Cassandra NoSQL databases to Amazon DynamoDB. Using AWS DMS and the AWS SCT, you can now migrate your Cassandra databases to DynamoDB and then replicate ongoing changes to your DynamoDB tables. After you have migrated a Cassandra database, you can benefit from the consistent, single-digit millisecond latency at any scale of DynamoDB. Migrating from Cassandra to DynamoDB enables developers to focus on building products rather than managing and maintaining database infrastructure. The DynamoDB serverless provisioning ... Read More

Feed: What's New. The solution deploys AWS Elemental MediaLive, AWS Elemental MediaPackage, Amazon S3, and Amazon CloudFront. For pricing details, see the pricing webpage for each AWS service you will be using in this solution. To learn more about Live Streaming on AWS, see the solution webpage.   Additional AWS Solutions offerings are available on the AWS Answers webpage, where customers can browse common questions by category to find answers in the form of succinct Solution Briefs or comprehensive Solutions, which are AWS-vetted, automated, turnkey reference implementations that address specific business needs.   ... Read More

Feed: AWS Partner Network (APN) Blog. Author: Mattijis Ten Seldam. By Ben Bridts, APN Ambassador at CloudarBy leveraging services like Amazon Simple Storage Service (Amazon S3) to host content, our team at Cloudar has a cost effective way to build websites that are highly available. Cloudar is an AWS Partner Network (APN) Advanced Consulting Partner with AWS Competencies in both DevOps and Government. If we store content in a single Amazon S3 bucket, all of our content is stored in a single Amazon Web Services (AWS) region. To meet regulatory compliance, we can replicate objects for regionally distributed computing, minimize ... Read More

Feed: AWS Compute Blog. Author: Chris Munns. This post is courtesy of Mark Easton, Senior Solutions Architect – AWSOne of the biggest benefits of Lambda functions is that they isolate you from the underlying infrastructure. While that makes it easy to deploy and manage your code, it’s critical to have a clearly defined approach for testing, debugging, and diagnosing problems. There’s a variety of best practices and AWS services to help you out. When developing Lambda functions in .NET, you can follow a four-pronged approach: This post demonstrates the approach by creating a simple Lambda function that can be called ... Read More

Feed: What's New. The Automatic Model Tuning (AMT) feature within Amazon SageMaker enables customers to automatically find the most accurate machine learning model through a process called hyperparameter optimization. AMT launches multiple training jobs within a single parent job to discover the ideal weighting of model parameters. Tags can now be added to the parent tuning job and these tags are then propagated to the individual training jobs underneath. Customers can use these tags for purposes such as cost allocation or access control. Previously, customers needed to add individual tags to each of the training jobs underneath rather than the ... Read More

Feed: What's New. You can now use TensorFlow 1.9.0, the popular machine and deep learning framework, and S3 Select with Apache Spark on Amazon EMR release 5.17.0. Tensorflow libraries can be combined with big data processing engines like Spark on EMR to speed up the model training process by parallelizing the tuning of training parameters. The trained model can then be broadcast to all the nodes of the cluster to perform distributed inference on a large amount of data that are too big to run on a single node. TensorFlow on EMR is packaged with TensorBoard, a visualization tool, that ... Read More

Feed: What's New. AWS Server Migration Service is an agentless service which makes it easier and faster for customers to migrate on-premises workloads to AWS from VMware vSphere and Microsoft Hyper-V environments. It allows customers to automate, schedule, and track incremental replications of live server volumes, making it easier to coordinate large-scale server migrations. Previously, the size of the individual data volume that could be migrated using Server Migration Service was capped at 4 TB. With this announcement, customers are able to surpass this limit and migrate larger volumes up to 16 TB.This capability exists in all AWS Regions where ... Read More