11/29/2022, 12:00:00 AM ~ 11/30/2022, 12:00:00 AM (UTC)

Recent Announcements

AWS Announces Torn Write Prevention for EC2 I4i instances, EBS, and Amazon RDS

Torn Write Prevention (TWP) is a feature that ensures 16KiB write operations are not torn in the event of operating system crashes or power loss during write transactions. This feature is available for AWS customers using instance store on AWS Nitro SSD based EC2 I4i storage optimized instances, Amazon Elastic Block Store (EBS), a block storage service, when attached to all EC2 Nitro-based instances, and Amazon Relational Database Services (RDS), a fully managed, open-source cloud database.

Announcing Amazon EC2 Hpc6id instances

AWS announces the general availability of Amazon Elastic Compute Cloud (Amazon EC2) Hpc6id instances. These instances are optimized to efficiently run memory bandwidth-bound, data-intensive high performance computing (HPC) workloads, such as finite element analysis and seismic reservoir simulations. With EC2 Hpc6id instances, you can lower the cost of your HPC workloads while taking advantage of the elasticity and scalability of AWS.

Announcing Amazon Redshift integration for Apache Spark with Amazon EMR

Amazon EMR announces Amazon Redshift integration with Apache Spark. This integration helps data engineers build and run Spark applications that can consume and write data from an Amazon Redshift cluster. Starting with Amazon EMR 6.9, this integration is available across all three deployment models for EMR - EC2, EKS, and Serverless.

Announcing Amazon OpenSearch Serverless (Preview)

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.

AWS announces Amazon Redshift integration for Apache Spark

Amazon Redshift integration for Apache Spark helps developers seamlessly build and run Apache Spark applications on Amazon Redshift data. If you are using AWS analytics and machine learning (ML) services—such as Amazon EMR, AWS Glue, and Amazon SageMaker—you can now build Apache Spark applications that read from and write to your Amazon Redshift data warehouse without compromising on the performance of your applications or transactional consistency of your data. Amazon Redshift integration for Apache Spark builds on an existing open source connector project and enhances it for performance and security, helping customers gain up to 10x faster application performance. We thank the original contributors on the project who collaborated with us to make this happen. As we make further enhancements we will continue to contribute back into the open source project.

Contact Lens for Amazon Connect now provides conversational analytics for chat

Contact Lens for Amazon Connect now provides conversational analytics capabilities for Amazon Connect Chat, extending the machine learning powered analytics to better assess chat contacts. These capabilities enable businesses to understand customer sentiment in both agent and chatbot conversations, redact sensitive customer information, and monitor agent compliance with company guidelines to help improve agent performance and customer experience.

AWS announces Amazon EC2 Inf2 instances (Preview)

Today, AWS announces the preview of Amazon Elastic Compute Cloud (Amazon EC2) Inf2 instances, which are designed to deliver high performance at the lowest cost in Amazon EC2 for the most demanding deep learning (DL) inference applications. Inf2 instances are powered by up to 12 AWS Inferentia2, the third AWS-designed DL accelerator. Inf2 instances offer 3x higher compute performance, up to 4x higher throughput, and up to 10x lower latency compared to Inf1 instances.

Amazon Connect forecasting, capacity planning, and scheduling is now generally available

Amazon Connect forecasting, capacity planning, and scheduling, now generally available, provides new machine learning (ML)–powered capabilities for contact centers. Forecasting, capacity planning, and scheduling help your contact center managers forecast contact demand, determine optimal staffing levels, and ensure the right agents are available at the right time to meet your operational and business goals.

AWS announces Amazon Aurora zero-ETL integration with Amazon Redshift

Amazon Aurora now supports zero-ETL integration with Amazon Redshift, to enable near real-time analytics and machine learning (ML) using Amazon Redshift on petabytes of transactional data from Aurora. Within seconds of transactional data being written into Aurora, the data is available in Amazon Redshift, so you don’t have to build and maintain complex data pipelines to perform extract, transform, and load (ETL) operations.

Amazon Redshift announces support for Dynamic Data Masking (Preview)

Amazon Redshift already supports role-based access control, row-level security, and column-level security to enable organizations to enforce fine-grained security on Redshift data. Amazon Redshift now extends these security features by supporting Dynamic Data Masking (DDM) that allows you to simplify the process of protecting sensitive data in your Amazon Redshift data warehouse. With Dynamic data masking, you control access to your data through simple SQL based masking policies that determine how Redshift returns sensitive data to the user at query time. Dynamic data masking makes it simple for you to adapt to changing privacy requirements without altering underlying data or updating SQL queries.

Amazon Connect announces Contact Lens agent performance evaluation forms (Preview)

Contact Lens for Amazon Connect now provides a set of agent performance evaluation capabilities (preview) that enable contact center managers to create evaluation forms with criteria (e.g, adherence to talk scripts or compliance with sensitive data collection practices) that can be scored using Contact Lens’ machine learning powered conversational analytics. Managers can assess agent performance alongside contact details, recordings, transcripts, and summaries, without the need to switch applications. These capabilities enable managers to assess more agent/customer interactions while reducing the amount of time they spend identifying performance issues and coaching agents to perform their best.

AWS KMS launches External Key Store

Today, AWS Key Management Service (AWS KMS) introduces the External Key Store (XKS), a new feature for customers who want to protect their data with encryption keys stored in an external key management system under their control. This capability brings new flexibility for customers to encrypt or decrypt data with cryptographic keys, independent authorization, and audit in an external key management system outside of AWS.

Amazon Redshift announces general availability of real-time streaming ingestion for Amazon KDS and Amazon MSK

Amazon Redshift now supports real-time streaming ingestion for Amazon Kinesis Data Streams (KDS) and Amazon Managed Streaming for Apache Kafka (MSK). Amazon Redshift streaming ingestion eliminates the need to stage streaming data in Amazon S3 before ingesting it into Amazon Redshift, enabling customers to achieve low latency, measured in seconds, while ingesting hundreds of megabytes of streaming data per second into their data warehouse.

New question types for Amazon QuickSight Q

Today, Amazon QuickSight announces support for two new question types that simplify and scale complex analytical tasks using natural language. Business users type “forecast” to see future trajectories for up to 3 measures simultaneously. “Why” performs contribution analysis to automatically identify key drivers.

Amazon Connect now provides step-by-step guides in agent workspace (preview)

Amazon Connect agent workspace now provides a step-by-step experience (preview) that guides agents by identifying customer issues and recommending subsequent actions. With Amazon Connect, you can create workflows that walk agents through custom UI pages that suggest what to do at a given moment during a customer interaction. Detailed step-by-step guides increase agent productivity and decrease training time.

Announcing AWS SimSpace Weaver

Today, AWS announces AWS SimSpace Weaver, a new fully managed compute service that helps you deploy large-scale spatial simulations in the cloud. With SimSpace Weaver, you can create seamless virtual worlds with millions of objects that can interact with one another in real time without managing the backend infrastructure.

Introducing Amazon Security Lake (Preview)

Amazon Security Lake automatically centralizes security data from cloud, on-premises, and custom sources into a purpose-built data lake stored in your account. Security Lake makes it easier to analyze security data so that you can get a more complete understanding of your security across the entire organization. You can also improve the protection of your workloads, applications, and data. Security Lake automatically gathers and manages all your security data across accounts and Regions. You can use your preferred analytics tools while retaining control and ownership of your security data. Security Lake has adopted the Open Cybersecurity Schema Framework (OCSF), an open standard. It helps normalize and combine security data from AWS and a broad range of enterprise security data sources. Now, your analysts and engineers can get broad visibility to investigate and respond to security events and improve your security across the cloud and on premises.

Announcing AWS Supply Chain (Preview)

AWS Supply Chain is a cloud-based application that helps supply chain leaders mitigate risks and lower costs to increase supply chain resilience. AWS Supply Chain unifies supply chain data, provides machine learning (ML)–powered actionable insights, and offers built-in contextual collaboration, all of which help you increase customer service levels by reducing stock outs and help you lower costs from overstock.

Introducing Amazon Omics

Amazon Omics is a new purpose-built service that helps healthcare and life science organizations store, query, and analyze genomic, transcriptomic, and other omics data and then generate insights from that data to improve health and advance scientific discoveries. Omics is designed to support large scale analysis and collaborative research so you can store and, together with other AWS services, analyze genome data for entire populations. Amazon Omics also automates provisioning and scaling of bioinformatics workflows, so you can run analysis pipelines at production scale and spend more time on research and innovation.

AWS Nitro Enclaves now supports Amazon EKS and Kubernetes

AWS Nitro Enclaves now supports Amazon EKS and Kubernetes for orchestrating Nitro enclaves. You can now use familiar Kubernetes tools to orchestrate, scale, and deploy enclaves from a Kubernetes pod.

Amazon FSx for NetApp ONTAP simplifies access to Multi-AZ file systems from on-premises and peered networks

Amazon FSx for NetApp ONTAP is announcing a new capability that makes it even easier to access Multi-AZ file systems from other networks (on-premises networks and peered networks in AWS). Starting today, you can create Multi-AZ file systems that you can access from other networks over AWS Transit Gateway without needing to perform any additional routing configuration—making it even quicker and easier to get started.

Amazon FSx for NetApp ONTAP doubles the maximum throughput capacity and SSD IOPS per file system

Amazon FSx for NetApp ONTAP is doubling the maximum throughput capacity per file system from 2 GB/s to 4 GB/s and the maximum SSD IOPS from 80,000 to 160,000, enabling you to accelerate your performance-intensive workloads such as video rendering and database applications.

Announcing a new generation of Amazon FSx for OpenZFS file systems

Amazon FSx for OpenZFS now offers a new generation of file systems that doubles the maximum throughput and IOPS performance of the existing generation and includes a high-speed NVMe cache.

Introducing Elastic Network Adapter (ENA) Express for Amazon EC2 instances

AWS announces the general availability of Elastic Network Adapter (ENA) Express for Amazon Elastic Compute Cloud (EC2) instances. All current generation EC2 instances use ENA, a purpose-built network interface, to deliver an enhanced networking experience. ENA Express is a new ENA feature that uses the AWS Scalable Reliable Datagram (SRD) protocol to improve network performance in two key ways: higher single flow bandwidth and lower tail latency for network traffic between EC2 instances.

Announcing Amazon EC2 M6in, M6idn, R6in, and R6idn network optimized instances

AWS announces the general availability of Amazon EC2 M6in and M6idn instances and Amazon EC2 R6in and R6idn instances. These sixth-generation network optimized instances are powered by 3rd Generation Intel Xeon Scalable processors with an all-core turbo frequency of up to 3.5 GHz. They are the first x86-based general purpose and memory-optimized instances offering up to 200 Gbps of network bandwidth. These instances deliver up to 2x more network bandwidth and up to 2x higher packet-processing performance over comparable fifth-generation instances. The instances are built on AWS Nitro System, a combination of dedicated hardware and lightweight hypervisor that delivers practically all of the compute and memory resources of the host hardware to your instances for better overall performance and security. You can scale the performance of applications such as SQL and NoSQL databases, in-memory databases (SAP HANA), Telco applications (5G User Plane Function (UPF)), high performance file systems, distributed web scale in-memory caches, caching fleets, and real-time big data analytics.

Amazon QuickSight announces Paginated Reports

Amazon QuickSight now supports Paginated Reports, which allows the capture of detailed operational data in custom formats to facilitate critical and day-to-day business processes. For example, you can get a weekly snapshot of operational metrics in a tabular format for critical review by business teams.

Introducing Amazon EC2 C6in instances

AWS announces the general availability of Amazon Elastic Compute Cloud (Amazon EC2) C6in instances. C6in instances are powered by 3rd Generation Intel Xeon Scalable processors with an all-core turbo frequency of up to 3.5 GHz. They are the first x86-based Amazon EC2 compute-optimized instances offering up to 200 Gbps network bandwidth. C6in instances deliver up 2x more network bandwidth, and 2x higher packet performance than comparable C5n instances. C6in instances are built on the AWS Nitro System, a combination of dedicated hardware and lightweight hypervisor, which delivers practically all of the compute and memory resources of the host hardware to your instances for better overall performance and security. You can take advantage of the higher network bandwidth to scale the performance of applications, such as network virtual appliances (firewalls, virtual routers, load balancers), Telco 5G User Plane Function (UPF), data analytics, high performance computing (HPC), and CPU based AI/ML workloads.

Announcing Amazon EC2 C7gn instances (Preview)

Starting today, the new Amazon Elastic Compute Cloud (Amazon EC2) C7gn instances, powered by the latest generation AWS Graviton processors, are available in preview. Featuring the new AWS Nitro Cards, Amazon EC2 C7gn instances deliver the highest network bandwidth, and the best packet-processing performance for Graviton-based Amazon EC2 instances. C7gn instances offer up to 200 Gbps network bandwidth and up to 50% higher packet-processing performance compared to previous generation C6gn instances. Amazon EC2 C7gn instances are built on the AWS Nitro System. The Nitro System is a collection of AWS designed hardware and software innovations that enables the delivery of efficient, flexible, and secure cloud services with isolated multi-tenancy, private networking, and fast local storage. Take advantage of the enhanced networking capabilities to scale performance and throughput while optimizing the cost of running network-intensive workloads. Workload examples include network virtual appliances, data analytics, and CPU based artificial intelligence and machine learning (AI/ML) inference.

Announcing the general availability of AWS Local Zones in Buenos Aires, Copenhagen, Helsinki, and Muscat.

AWS Local Zones are now available in four new metro areas—Buenos Aires, Copenhagen, Helsinki, and Muscat. You can now use these Local Zones to deliver applications that require single-digit millisecond latency or local data processing.

Announcing AWS Lambda SnapStart for Java functions

AWS Lambda SnapStart for Java delivers up to 10x faster function startup performance at no extra cost. Lambda SnapStart is a performance optimization that makes it easier for you to build highly responsive and scalable Java applications using AWS Lambda, without having to provision resources or spend time and effort implementing complex performance optimizations.

Announcing preview for Amazon Route 53 Application Recovery Controller zonal shift

Amazon Route 53 Application Recovery Controller now supports zonal shift to help you quickly recover from application failures in an AWS Availability Zone (AZ). Starting today, you can shift application traffic away from using an AZ with a single action for multi-AZ resources with support of Application Load Balancer and Network Load Balancer. This will help you quickly recover an unhealthy application in an AZ, and reduce the duration and severity of impact to the application due to events such as power outages and hardware or software failures.

Elastic Load Balancing capabilities for application availability

We are excited to announce four new Elastic Load Balancing capabilities to further improve the availability of your applications. AWS provides multiple building blocks, like Regions and Availability Zones, so that you can design your applications to isolate your applications from different types of failures. Starting today, we are providing additional features that allow you to define how you want your applications to behave when failures occur as well as a feature to help you recover faster. These new capabilities include:

AWS Compute Optimizer now supports external metrics from observability partners

AWS Compute Optimizer now supports external performance metrics from four observability partners: Datadog, Dynatrace, Instana, and New Relic. By using externally provided utilization metrics for Amazon EC2 memory, Compute Optimizer can now identify additional savings opportunity, and more performance-aware recommendations for customers that use these products.

AWS announces Amazon Inspector support for AWS Lambda functions

Amazon Inspector now supports AWS Lambda functions, adding continual, automated vulnerability assessments for Serverless compute workloads. With this expanded capability, Amazon Inspector now automatically discovers all eligible Lambda functions and identifies software vulnerabilities in application package dependencies used in the Lambda function code. All functions are initially assessed upon deployment to Lambda service and continually monitored and reassessed, informed by updates to the function and newly published vulnerabilities. When vulnerabilities are identified in the Lambda function or layer, actionable security findings are generated, aggregated in the Amazon Inspector console, and pushed to AWS Security Hub and Amazon EventBridge to automate workflows.

Expanded API capabilities now generally available for Amazon QuickSight

Amazon QuickSight now offers expanded API capabilities, allowing programmatic access to the underlying structure of QuickSight dashboards and analyses with the AWS Software Development Kit. The new and expanded APIs let customers and developers treat QuickSight assets like software code and integrate with DevOps processes, such as code reviews, audits, and promotion across development and production environments.

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