AWS Outposts gives you on-premises compute and storage that is monitored and managed by AWS, and controlled by the same, familiar AWS APIs. You may already know about the AWS Outposts rack, which occupies a full 42U rack. Last year I told you that we were working on new sizes of Outposts suitable for locations such as branch offices, factories, retail stores, health clinics, hospitals, and cell sites that are space-constrained and need access to low-latency compute capacity. Today we are launching three AWS Outposts servers, all powered by AWS Nitro System and with your choice of x86 or Arm/Graviton2 processors. Here’s an overview: Name/Rack Size/Catalog ID EC2 Instance Capacity Processor / Architecture vCPUs Memory Local NVMe SSD Storage Outposts…
Month: November 2021
Announcing Amazon SageMaker Canvas – a Visual, No Code Machine Learning Capability for Business Analysts
As an organization facing business problems and dealing with data on a daily basis, the ability to build systems that can predict business outcomes becomes very important. This ability lets you solve problems and move faster by automating slow processes and embedding intelligence in your IT systems. But how do you make sure that all teams and individual decision makers in the organization are empowered to create these machine learning (ML) systems at scale, and without depending on other data science and data engineering teams? As a business user or data analyst, you’d like to build and use prediction systems based on the data that you analyze and process every day, without having to learn about hundreds of algorithms, training…
Amazon Kinesis Data Streams On-Demand – Stream Data at Scale Without Managing Capacity
Today we are launching Amazon Kinesis Data Streams On-demand, a new capacity mode. This capacity mode eliminates capacity provisioning and management for streaming workloads. Kinesis Data Streams is a fully-managed, serverless service for real-time processing of streamed data at a massive scale. Kinesis Data Streams can take any amount of data, from any number of sources, and scale up and down as needed. Creating a new data stream is easy, since we announced Kinesis Data Streams in November 2013. To get started, you only need to specify the number of shards with which you must provision your stream. Shards are the way to define capacity in Kinesis Data Streams. Each shard can ingest 1 MB/s and 1,000 records/second and egress…
Introducing Amazon Redshift Serverless – Run Analytics At Any Scale Without Having to Manage Data Warehouse Infrastructure
We’re seeing the use of data analytics expanding among new audiences within organizations, for example with users like developers and line of business analysts who don’t have the expertise or the time to manage a traditional data warehouse. Also, some customers have variable workloads with unpredictable spikes, and it can be very difficult for them to constantly manage capacity. With Amazon Redshift, you use SQL to analyze structured and semi-structured data across data warehouses, operational databases, and data lakes. Today, I am happy to introduce the public preview of Amazon Redshift Serverless, a new capability that makes it super easy to run analytics in the cloud with high performance at any scale. Just load your data and start querying. There…