November 30, 2022 / Nirav S
Amazon opensearch service now offers a new serverless option, Amazon Opensearch Serverless. This option simplifies the process of running petabyte-scale search and analytics workloads without having to configure, manage, or scale OpenSearch clusters. OpenSearch Serverless automatically provisions and scales the underlying resources to deliver fast data ingestion and query responses for even the most demanding and unpredictable workloads. With OpenSearch Serverless, you pay only for the resources consumed.
OpenSearch Serverless decouples compute and storage and separates the indexing (ingest) components from the search (query) components, with Amazon Simple Storage Service (Amazon S3) as the primary data storage for indexes. With this decoupled architecture, OpenSearch Serverless can scale search and indexing functions independently of each other, and independently of the indexed data in Amazon S3. For example, when an application-monitoring workload receives a sudden burst of logging activities during an availability event, OpenSearch Serverless instantly scales the resources to ingest and store the data without impacting query response times.
Amazon Aurora zero-ETL integration with Amazon Redshift enables near-real-time analytics and Machine Learning on transaction data. It helps to consolidate data from multiple Aurora databases, updates automatically and continuously, and is serverless, with no infrastructure to manage.
Amazon Redshift integration for Apache Spark is now generally available. Now you can run Spark queries on Redshift data from EMR, Glue and SageMaker within seconds, without the need to move any data. Amazon Redshift Integration for Apache Spark supports the most popular language frameworks (Java, Python, R and Scala)
Amazon DataZone gives fine-grained controls to manage and govern access to data. A data catalog populated by ML is easy to search using business terms, and DataZone integrates with Redshift, Athena, and QuickSight, and provides APIs to third party sources.
Amazon has announced some notable new natural language querying capabilities that enable nonanalysts to forecast future business outcomes.
Announced as ‘coming soon’, container runtime threat detection for GuardDuty will enable the detection of threats running inside containers, attempts to access host nodes and is integrated with Amazon EKS.
Amazon Security Lake aggregates data from AWS sources such as VPC, CloudTrail, Route53, GuardDuty and IAM Access Analyzer. It can also bring in data from many partner systems, and is the first data lake that supports the Open Cybersecurity Schema Framework (OCSF) security standard.
The C7gn Instances for EC2 are powered by AWS Graviton3 silicon, which gives a 25% better performance than Graviton 2.
Inf2 instances for EC2 were announced in preview. Based on the new Inferentia 2 chip, Inf2 instances offer 4 x higher throughput with 1/10th of the latency.
Hpc6id Instances went into general availability today, offering the best price/performance for data and memory intensive high-performance computing (HPC) applications.
AWS SimSpace Weaver enables customers to run massive spatial simulations without managing infrastructure. Users can configure a job in a few clicks, and the spatial simulation automatically scales across instances. SimSpace Weaver integrated with popular 3D engines including Unreal Engine and Unity.
Amazon Connect MLdriven forecasting, capacity planning, and scheduling is now generally available.
Contact Lens for Amazon Connect with agent performance management launched into preview today.
Amazon Connect Agent Workspace with step-by-step guided actions was launched into preview today.
AWS Supply Chain launched into preview today. AWS Supply Chain is a cloud application that provides supply chain visibility and actionable insights.
AWS Clean Rooms was announced today. AWS Clean Rooms aggregate market behaviour data, reporting data and user data to provide insight into, for example, advertising campaign effectiveness, while protecting consumer privacy. AWS Clean Rooms reads data where it lives, offers privacy-enhancing analysis rules, and enables joint data analysis.
Amazon Omics was launched into general availability today. Amazon Omics helps to advance genomic research by enabling users to store, analyze and generate insights from genomics and other omics data. Amazon Omics enables large-scale multimodal analysis and integrates with Amazon Healthlake or Sagemaker.
So there you have it – 17 new services announced by Adam Selipsky in his reInvent 2022 keynote. It was super inspiring to hear how cloud technology is advancing space and ocean exploration, eradicating cancer, and helping to produce clean energy.
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