Amazon Web Services (AWS)

Amazon EMR Serverless is a serverless option in Amazon EMR that makes it simple for data engineers and data scientists to run open-source big data analytics frameworks without configuring, managing, and scaling clusters or servers. Today, we are excited to announce job run admission control on Amazon EMR Serverless with support for job run concurrency and queuing controls. Job run concurrency and queuing enables you to configure the maximum number of concurrent job runs for an application and automatically queues all other submitted job runs. This prevents job run failures caused when API limits are exceeded due to a spike in job run submissions or when resources are e…

AWS announces general availability of AWS Organizations support in AWS Chatbot. AWS customers can now centrally govern access to their accounts from Slack and Microsoft Teams with AWS Organizations. This launch introduces chatbot management policy type in AWS Organizations to control access to your organization's accounts from chat channels. Using Service Control Policies (SCPs), customers can also globally enforce permission limits on CLI commands originating from chat channels. With this launch, customers can use chatbot policies and multi-account management services in AWS Organizations to determine which permissions models, chat applications, and chat workspaces…

Amazon Managed Streaming for Apache Kafka (Amazon MSK) APIs now come with AWS PrivateLink support, allowing you to invoke Amazon MSK APIs from within your Amazon Virtual Private Cloud (VPC) without traversing the public internet. By default, all communication between your Apache Kafka clients and your Amazon MSK provisioned clusters is private, and your data never traverses the internet. With this launch, clients can also invoke MSK APIs via a private endpoint. This allows client applications with strict security requirements to perform MSK specific actions, such as fetching bootstrap connection strings or describing cluster details, without needing to communicate over…

Amazon Data Firehose (Firehose) can now deliver data streams into Apache Iceberg tables in Amazon S3. Firehose enables customers to acquire, transform, and deliver data streams into Amazon S3, Amazon Redshift, OpenSearch, Splunk, Snowflake, and other destinations for analytics. With this new feature, Firehose integrates with Apache Iceberg, so customers can deliver data streams directly into Apache Iceberg tables in their Amazon S3 data lake. Firehose can acquire data streams from Kinesis Data Streams, Amazon MSK, or Direct PUT API, and is also integrated to acquire streams from AWS Services such as AWS WAF web ACL logs, Amazon CloudWatch Logs, Amazon VPC Flow Logs, AW…

Amazon Connect now supports the ability to initiate outbound SMS contacts, enabling you to help increase customer satisfaction by engaging your customers on their preferred communication channel. You can now deliver proactive SMS experiences for scenarios such as post-contact surveys, appointment reminders, and service updates, allowing customers to respond at their convenience. Additionally you can offer customers the option to switch to SMS while waiting in a call queue, eliminating their hold time. To get started, add the new Send message block to a contact flow or use the new StartOutboundChatContact API to initiate outbound SMS contacts. This feature is available …

AWS re:Post launches re:Post Agent, a generative AI-powered assistant that's designed to enhance customer interactions by offering intelligent and near real-time responses on re:Post. re:Post Agent provides the first response to questions in the re:Post community. Cloud developers can now get general technical guidance faster to successfully build and operate their cloud workloads. With re:Post Agent, you have a generative AI companion augmented by the community that expands the available AWS knowledge. Community experts can earn points to build their reputation status by reviewing answers from re:Post Agent. Visit AWS re:Post to collaborate with re:Post Agent and exp…

Amazon AppStream 2.0 has expanded the default size limit for application settings persistence from 1GB to 5GB. This increase allows end users to store more application data and settings with no manual intervention and without impacting the performance or session setup time. Application settings persistence allows users' customizations and configurations to persist across sessions. When enabled, AppStream 2.0 automatically saves changes to a Virtual Hard Disk (VHD) stored in an S3 bucket unique to your account and AWS Region. This helps in enhancing the user experience by enabling users to resume work where they left off. With expanded default storage size and performan…

Introduction In August 2022, Amazon Elastic Kubernetes Service (Amazon EKS) announced the availability of an Amazon EKS-optimized bundle of Kubecost for cluster cost visibility. The bundle is available to Amazon EKS users free of charge and enables users to gain deeper cost insights into Kubernetes resources, such as namespace, cluster, pod, and organizational concepts (for example by team or application). Today, we’re excited to announce that Amazon EKS users can benefit from new features as part of the Kubecost 2.0 announcement, at no cost. This post shows key new features and how users can get started with each of them. Network Monitoring Kubecost’s Network M…

Amazon EventBridge Event Bus now provides an end-to-end event delivery latency metric in Amazon CloudWatch that tracks the duration between event ingestion and successful delivery to the targets on your Event Bus. This new IngestionToInvocationSuccessLatency allows you to now detect and respond to event processing delays caused by under-performing, under-scaled, or unresponsive targets. Amazon EventBridge Event Bus is a serverless event router that enables you to create highly scalable event-driven applications by routing events between your own applications, third-party SaaS applications, and other AWS services. You can set up rules to determine where to send your eve…

By adding your Network Load Balancer (NLB) to a monitor, you can gain improved visibility into your application's internet performance and availability using Amazon CloudWatch Internet Monitor. You can now create or associate a monitor for an NLB directly when you create an NLB in the AWS Management console. You can create a monitor for the load balancer, or add the load balancer to an existing monitor, directly from the Integrations tab on the console. With a monitor, you can get detailed metrics about your application's internet traffic that goes through a load balancer, with the ability to drill down into specific locations and internet service providers (ISPs). You…

Amazon Q in QuickSight announces personalization in data stories. A capability of Amazon Q in QuickSight, data stories helps users generate visually compelling documents and presentations that provide insights, highlight key findings, and recommend actionable next steps. With the addition of personalization to data stories, the generated narratives are tailored to the user and leverage employee location and job role to provide commentary that is more specific to the user’s organization. Amazon Q in QuickSight brings the power of Generative Business Intelligence to customers, enabling them to leverage natural language capabilities of Amazon Q to quickly extract insights…

We are excited to announce that AWS HealthOmics variant stores are now optimized to improve sample based queries saving time and query costs for customers. AWS HealthOmics helps customers accelerate scientific breakthroughs by providing a fully managed service designed to handle bioinformatics and drug discovery workflows and storage at any scale. With this release, any new variant stores customer create will be automatically partitioned by the sample. This feature automatically partitions data loaded into a variant store by the sample information. Because of this partitioning, any analysis that includes sample level filtering no longer needs to scan the full set of da…

Amazon Redshift streaming ingestion already supports Amazon IAM authentication and with this announcement, we are now extending authentication methods with the addition of mutual transport layer security (mTLS) authentication between Amazon Redshift provisioned cluster or serverless workgroup and Amazon Managed Streaming for Apache Kafka (MSK) cluster or serverless. mTLS is an industry standard for authentication that provides the means for a server to authenticate a client it's sending information to, and for the client to authenticate the server. The benefit of using mTLS is to provide a trusted authentication method that relies on each party (client & server) ex…

Amazon Simple Email Service (SES) now supports HTTPS for tracking open and click events when using custom domains. Using HTTPS helps meet security compliance requirements and reduces the chances of email delivery issues with mailbox providers that reject non-secure links. The new feature provides the flexibility to configure HTTPS as mandatory for both open and click tracking, or make it optional based on the protocol of the links in your email. Previously, HTTPS was only available for click event tracking with custom domains. If you required HTTPS for tracking both open and clicks events, you were limited to the default tracking approach where the links in your emails…

Model Evaluation on Amazon Bedrock allows you to evaluate, compare, and select the best foundation models for your use case. Amazon Bedrock offers a choice of automatic evaluation and human evaluation. You can use automatic evaluation with predefined algorithms for metrics such as accuracy, robustness, and toxicity. Model evaluation provides built-in curated datasets or you can bring your own datasets. Amazon Bedrock’s interactive interface guides you through model evaluation. You simply choose automatic evaluation, select the task type and metrics, and upload your prompt dataset. Amazon Bedrock then runs evaluations and generates a report, so you can easily understand…

Amazon Aurora PostgreSQL-Compatible Edition now supports PostgreSQL versions 16.4, 15.8, 14.13, 13.16, and 12.20. These releases contain product improvements and bug fixes made by the PostgreSQL community, along with Aurora-specific security and feature improvements. These releases also contain new Babelfish’s features and improvements. As a reminder, Amazon Aurora PostgreSQL 12 end of standard support is February 29, 2025. You can either upgrade to a newer major version or continue to run Amazon Aurora PostgreSQL 12 past the end of standard support date with RDS Extended Support. These releases are available in all commercial AWS regions and AWS GovCloud (US) Regions,…

AWS CloudShell now supports Amazon Virtual Private Cloud (VPC) support, improved environment start times, and support for Docker environments in all commercial Regions where CloudShell is live. Previously, these features were only available in a limited set of CloudShell’s live commercial Regions. These features increase the productivity of CloudShell customers and enable a consistent experience across all CloudShell commercial Regions. CloudShell VPC support allows you to create CloudShell environments in a VPC, which enables you to use CloudShell securely within the same subnet as other resources in your VPC without the need for additional network configuration. Star…

Today, Amazon Inspector announced an upgrade to the engine powering its Lambda standard scanning. This upgrade will provide you with a more comprehensive view of the vulnerabilities in the third-party dependencies used in your Lambda functions and associated Lambda layers in your environment. With the launch of this enhanced scanning engine, you will benefit from these capabilities without any disruption to your existing workflows. Existing customers can expect to see some findings closed as the new engine re-evaluates your existing resources to better assess risks, while also surfacing new vulnerabilities. Amazon Inspector is a vulnerability management service that co…

In this blog, we will guide you through the process on how to Create Secure User Authentication with AWS Cognito for cloud applications. From setting up a Cognito User Pool to integrating it into your app, we’ll cover essential steps like managing user sign-ins, session handling, and password recovery. Having an AWS Certified Developer Associate Certification significantly enhances your ability to implement these solutions effectively, as it equips you with deep knowledge of AWS services and best practices for building secure, scalable applications. By leveraging AWS Amplify, we will simplify the integration process, ensuring a seamless experience for developers/applic…

Amazon EMR Serverless allows you to run open source big data frameworks such as Apache Spark and Apache Hive without managing clusters and servers. With EMR Serverless, you can run analytics workloads at any scale with automatic scaling that resizes resources in seconds to meet changing data volumes and processing requirements. We have launched job worker metrics in Amazon CloudWatch for EMR Serverless. This feature allows you to monitor vCPUs, memory, ephemeral storage, and disk I/O allocation and usage metrics at an aggregate worker level for your Spark and Hive jobs. This post is part of a series about EMR Serverless observability. In this post, we discuss how to u…

AWS CodePipeline V2 type pipelines introduces pipeline variable check as a new rule that customers can use in their stage level condition to gate a pipeline execution. You can use this rule with any condition that is evaluated before entering the stage, before exiting a stage - when all actions in the stage have completed successfully, or when any action in the stage has failed. With the variable check rule, you can evaluate a pipeline parameter or an output variable from a prior action in the pipeline against a threshold, to determine if the condition will succeed or fail. For example, you can check if an output variable from a CodeBuild action is a certain value to dete…

You can now use Amazon Timestream for InfluxDB in the Asia Pacific (Jakarta), Europe (Milan), Middle East (UAE) and Europe (Spain) AWS regions. Timestream for InfluxDB makes it easy for application developers and DevOps teams to run fully managed InfluxDB databases on AWS for real-time time-series applications using open-source APIs. Timestream for InfluxDB offers the full feature set available in the InfluxDB 2.7 release of the open-source version, and adds deployment options with Multi-AZ high availability and enhanced durability. For high availability, Timestream for InfluxDB allows you to automatically create a primary database instance and synchronously replicate …

AWS Outposts can now be shipped and installed at your data center and on-premises locations in Kuwait. AWS Outposts is a family of fully managed solutions that extends AWS infrastructure, AWS services, APIs, and tools to virtually any on-premises or edge location for a truly consistent hybrid experience. Outposts is ideal for workloads that require low latency access to on-premises systems, local data processing, and migration of applications with local system interdependencies. Outposts can also help meet data residency requirements. Outposts is available in a variety of form factors, from 1U and 2U Outposts servers to 42U Outposts racks, and multiple rack deployments…

Amazon MemoryDB is a fully managed, Redis OSS-compatible database for in-memory performance and multi-AZ durability. Customers in Europe (Spain) can now use MemoryDB as a primary database for use cases that require ultra-fast performance and durable storage, such as payment card analytics, message streaming between microservices, and IoT events processing. With Amazon MemoryDB, all of your data is stored in memory, which enables you to achieve microsecond read and single-digit millisecond write latency and high throughput. Amazon MemoryDB also stores data durably across multiple Availability Zones (AZs) using a Multi-AZ transactional log to enable fast failover, database …

In today’s rapidly evolving digital landscape, enterprises across regulated industries face a critical challenge as they navigate their digital transformation journeys: effectively managing and governing data from legacy systems that are being phased out or replaced. This historical data, often containing valuable insights and subject to stringent regulatory requirements, must be preserved and made accessible to authorized users throughout the organization. Failure to address this issue can lead to significant consequences, including data loss, operational inefficiencies, and potential compliance violations. Moreover, organizations are seeking solutions that not only sa…

Today, we are excited to announce that the Application Discovery Service Agentless Collector now runs on Amazon Linux 2023 (AL2023). AL2023 offers long-term support with access to the latest Linux security updates. The Agentless Collector is deployed as a virtual appliance within an on-premises data center, allowing one install to monitor hundreds of servers. With the Agentless Collector, configure the discovery tool in a matter of minutes. The data can then be used in AWS Migration Hub to explore recommended Amazon EC2 instances or AWS Database Migration Service to explore recommended Amazon RDS instances. The Agentless Collector on AL2023 (version 2) is now genera…

Amazon RDS (Relational Database Service) Performance Insights now allows customers to monitor queries run through the RDS Data API for Aurora PostgreSQL clusters. The RDS Data API provides an HTTP endpoint to run SQL statements on an Amazon Aurora DB cluster. With this launch, customers are now able to use Performance Insights to monitor the impact of the queries run through the RDS Data API on their database performance. Additionally, customers can identify these queries and their related statistics by slicing the database load metric using the host name dimension, and filtering for 'RDS Data API'. Amazon RDS Performance Insights is a database performance tuning an…

Amazon RDS for Oracle now supports Oracle Management Agent (OMA) version 13.5.0.0.v2 for Oracle Enterprise Manager (OEM) Cloud Control 13c Release 5. OEM 13c offers web-based tools to monitor and manage your Oracle databases. Amazon RDS for Oracle installs OMA, which communicates with your Oracle Management Service (OMS) to provide monitoring information. Customers running OMS version 13.5 update 23 can now manage databases by installing OMA 13.5.0.0.v2 To enable the version 13.5.0.0.v2 of OMA for OEM 13cR5, navigate to "Option Groups" in the AWS Management Console and add the "OEM_AGENT" option to a new or existing option group and set AGENT_VERSION to “13.5.0.0.v2”. …

Software as a Service (SaaS) applications offer a transformative solution for businesses worldwide, delivering on-demand software solutions to a global audience. However, building a successful SaaS platform demands on meticulous architectural planning, especially given the inherent challenges of multi-tenancy. It’s also essential to ensure that each tenant’s data remains isolated and protected from unauthorized access and that multi-tenant systems are cost-optimized and can sustain the scaling of the SaaS business provider. In this blog post, we will explore some of the key elements and best practices for designing and deploying secure and efficient SaaS systems on AWS.…

AWS ParallelCluster 3.11 is now generally available. Key features of this release include support for NICE DCV and custom action scripts on Login nodes. Use custom action scripts to automate the setup and configuration of Login Nodes to meet your specific organization's needs such as installing additional software, configuring settings, or custom commands. Add custom action scripts by uploading them to an S3 bucket and specifying their paths in the ParallelCluster YAML configuration file. Other important features in this release include: Support for pyxis and enroot for simplified container image management and the efficient execution of container-based HPC and ML/AI…

You can now create Apache Airflow version 2.10 environments on Amazon Managed Workflows for Apache Airflow (MWAA). Apache Airflow 2.10 is the latest minor release of the popular open-source tool that helps customers author, schedule, and monitor workflows. Amazon MWAA is a managed orchestration service for Apache Airflow that makes it easier to set up and operate end-to-end data pipelines in the cloud. Apache Airflow 2.10 introduces several notable enhancements, such as a new Dark Mode for improved user experience, especially in low-light environments; dynamic dataset scheduling for flexible workflow management; and new task-level metrics for enhanced visibility into r…

Kubernetes version 1.31 introduced several new features and bug fixes, and AWS is excited to announce that you can now use Amazon Elastic Kubernetes Service (EKS) and Amazon EKS Distro to run Kubernetes version 1.31. Starting today, you can create new EKS clusters using version 1.31 and upgrade existing clusters to version 1.31 using the EKS console, the eksctl command line interface, or through an infrastructure-as-code tool. Kubernetes version 1.31 introduces several key improvements, including stable support for AppArmor security modules, storing timestamps for persistent volume phase transitions, and the beta VolumeAttributeClass API for modifying mutable propertie…

Starting today, AWS Lambda SnapStart for Java functions is generally available in the AWS GovCloud (US) Regions. AWS Lambda SnapStart for Java delivers up to 10x faster function startup performance at no extra cost, making 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. For latency sensitive applications where you want to support unpredictable bursts of traffic, high and outlier startup latencies—known as cold starts—can cause delays in your users’ experience. Lambda SnapStart offers improved startup times by initia…

Amazon Aurora MySQL-Compatible Edition now supports a redesigned RDS Data API for Aurora Serverless v2 and Aurora provisioned database instances. You can now access these Aurora clusters via a secure HTTP endpoint and run SQL statements without the use of database drivers and without managing connections. This follows the launch of Data API for Amazon Aurora PostgreSQL-Compatible Edition for Aurora Serverless v2 and Aurora provisioned database instances last year. Data API was originally only available for single instance Aurora Serverless v1 clusters with a 1,000 request per second (RPS) rate limit. Based on customer feedback, Data API has now been redesigned for incr…

Amazon CloudWatch announces the general availability of natural language query generation powered by generative AI for Logs Insights and Metrics Insights in 7 additional regions including Asia Pacific (Hong Kong), Asia Pacific (Singapore), Asia Pacific (Sydney) Europe (Frankfurt), Europe (Ireland), Europe (Stockholm), US East (Ohio). This feature enables you to quickly generate queries in the context of your logs and metrics data using plain language so that you can accelerate gathering insights from your observability data without needing extensive knowledge of the query language. Query Generator simplifies your CloudWatch Logs and Metrics Insights experience through …

Amazon RDS for PostgreSQL 17.0 is now available in the Amazon RDS Database Preview Environment, allowing you to evaluate the pre-release of PostgreSQL 17 on Amazon RDS for PostgreSQL. You can deploy PostgreSQL 17.0 in the Amazon RDS Database Preview Environment that has the benefits of a fully managed database. PostgreSQL 17 includes updates to vacuuming that reduces memory usage, improves time to finish vacuuming, and shows progress of vacuuming indexes. With PostgreSQL 17, you no longer need to drop logical replication slots when performing a major version upgrade. PostgreSQL 17 continues to build on the SQL/JSON standard, adding support for `JSON_TABLE` features tha…

Organizations are collecting and storing vast amounts of structured and unstructured data like reports, whitepapers, and research documents. By consolidating this information, analysts can discover and integrate data from across the organization, creating valuable data products based on a unified dataset. For many organizations, this centralized data store follows a data lake architecture. Although data lakes provide a centralized repository, making sense of this data and extracting valuable insights can be challenging. End-users often struggle to find relevant information buried within extensive documents housed in data lakes, leading to inefficiencies and missed opport…

You’ve probably heard a lot of conversation about artificial intelligence (AI) and generative AI. According to a study by AWS, hiring AI-skilled talent is a priority among 73% of employers—but three out of four who consider it a priority can’t find the AI talent they need. And AI skills aren’t just for techies; having a grasp of cloud and AI fundamentals can help you future-proof careers in business roles, such as marketing, program management, and customer support. Showcasing your understanding of AI concepts can give you an edge in the global job market. According to AWS’s study, organizations are willing to pay a premium for professionals with AI skills. This include…

Amazon FSx for Lustre, a service that provides high-performance, cost-effective, and scalable file storage for compute workloads, now provides additional performance metrics for improved visibility into file system activity and an enhanced monitoring dashboard with performance insights and recommendations. You can use the new Amazon Cloudwatch metrics and dashboard to right-size your file systems and optimize performance and costs. Previously, you could use performance metrics to monitor the file system storage capacity, throughput and IOPS delivered by the storage system, the primary performance characteristics for most workloads. Now, using additional performance met…

Amazon Kinesis Data Streams announces support for attribute-based access control (ABAC) using stream tags, enabling customers to enhance their overall security postures with a scalable access control solution. Amazon Kinesis Data Streams is a serverless data streaming service that enables customers to capture, process, and store data streams at any scale. ABAC is an authorization strategy that defines access permissions based on tags which can be attached to IAM resources, such as IAM users and roles, and to AWS resources for fine-grained access control. ABAC support for Kinesis Data Streams makes it simple for you to give granular access to developers without requirin…

The Llama 3.2 collection of models are now available in Amazon Bedrock. Llama 3.2 represents Meta’s latest advancement in large language models (LLMs). Llama 3.2 models are offered in various sizes, from small and medium-sized multimodal models, 11B and 90B parameter models, capable of sophisticated reasoning tasks including multimodal support for high resolution images to lightweight text-only 1B and 3B parameter models suitable for edge devices. Llama 3.2 is the first Llama model to support vision tasks, with a new model architecture that integrates image encoder representations into the language model. In addition to the existing text capable Llama 3.1 8B, 70B, and …

AWS announces the general availability for Security Group Referencing across VPCs connected by the AWS Transit Gateway. With this capability, customers can simplify management of Security Groups and gain a better security posture for their TGW based networks. Customers can configure Security Groups by specifying a list of rules that allow network traffic based on criteria such as IP CIDRs, Prefix-Lists, Ports and SG references. Until now, customers were not able to use SG references for controlling traffic between VPCs connected via TGW. Security Group Referencing allows customers to specify other SGs as references, or matching criterion in inbound security rules to al…

With the launch of AWS CloudTrail network activity for VPC endpoints, you now have additional visibility into AWS API activity that traverses your VPC endpoints, enabling you to strengthen your data perimeter and implement better detective controls. At preview launch, you can enable network activity events for VPC endpoints for four AWS Services: Amazon EC2, AWS Key Management Service (AWS KMS), AWS Secrets Manager, and AWS CloudTrail. With network activity events for VPC endpoints, you can view details of who is accessing resources within your network giving you greater ability to identify and respond to malicious or unauthorized actions in your data perimeter. For ex…

Today, we are excited to announce the launch of the new Resources widget on the myApplications dashboard, providing a view of the resources in your applications on AWS. Using the new Resources widget, you can quickly search and discover application resources in the myApplications dashboard. Start by searching for your application in the Applications widget on Console Home and click to open the application dashboard. From the dashboard you can view the Resources widget to see the list of resources that power your application. You can also query keywords to further focus on your application’s resources. To access the Resources widget, make sure you have AWS Resource E…

AWS announces the general availability of Amazon Elastic Compute Cloud (Amazon EC2) C8g instances and Amazon EC2 M8g instances. These instances are powered by AWS Graviton4 processors and deliver up to 30% better performance over Graviton3-based instances. C8g instances are ideal for compute-intensive workloads, such as high performance computing (HPC), batch processing, gaming, video encoding, scientific modeling, distributed analytics, CPU-based machine learning inference, and ad serving. M8g instances are built for general-purpose workloads, such as application servers, microservices, gaming servers, midsize data stores, and caching fleets. These instances are built on…

Starting today, the Amazon Elastic Compute Cloud (Amazon EC2) G6 instances powered by NVIDIA L4 GPUs are now available in Europe (Frankfurt, London), Asia Pacific (Tokyo, Malaysia ), and Canada (Central) regions. G6 instances can be used for a wide range of graphics-intensive and machine learning use cases. Customers can use G6 instances for deploying ML models for natural language processing, language translation, video and image analysis, speech recognition, and personalization as well as graphics workloads, such as creating and rendering real-time, cinematic-quality graphics and game streaming. G6 instances feature up to 8 NVIDIA L4 Tensor Core GPUs with 24 GB of me…

Amazon Simple Notification Service (SNS) announces integration with AWS End User Messaging for the delivery of SMS messages. Starting today, SNS customers can start using new features like SMS resource management, two-way messaging, granular resource permissions, country block rules, and centralized billing for all AWS SMS messaging without making any changes to configurations or the global AWS SMS network used by SNS. Amazon SNS is a fully managed pub/sub service that provides one-to-many message delivery to various endpoints, including AWS Lambda, Amazon SQS, Amazon Data Firehose, mobile devices via AWS End User Messaging and mobile push, as well as email. AWS End Us…

AWS Serverless Application Repository now supports AWS PrivateLink to connect to AWS Serverless Application Repository through an interface VPC endpoint. You can now connect directly to the AWS Serverless Application Repository using AWS PrivateLink in your virtual private cloud (VPC) instead of connecting over the internet. When you use an AWS PrivateLink, communication between your VPC and AWS Serverless Application Repository is conducted entirely within the AWS network, which can provide greater security and protect your sensitive information. An AWS PrivateLink endpoint connects your VPC directly to AWS Serverless Application Repository. The instances in your VPC …

You can now use AWS Resource Access Manager (RAM) to share the following SMS resources: phone numbers, sender IDs, phone pools, and opt-out lists in AWS End User Messaging SMS, also referred to as sms-voice. AWS End User Messaging provides developers with a scalable and cost-effective messaging infrastructure without compromising the safety, security, or results of their communications. AWS RAM is a service that enables AWS customers securely share resources across AWS accounts. With AWS RAM, you can also share resources within organizational units (OUs) in AWS Organizations. Sharing SMS resources in End User Messaging SMS can help you reduce the number of phone numbers y…

The most efficient, performant, and capable Llama models to date, Llama 3.2, are now available in Amazon SageMaker JumpStart, a machine learning (ML) hub that offers pretrained models and built-in algorithms to help you quickly get started with ML. You can deploy and use Llama 3.2 models—90B, 11B, 3B, 1B, and Llama Guard 3 11B Vision—with a few clicks in SageMaker Studio or programmatically through the SageMaker Python SDK. You can also easily fine-tune Llama 3.2 1B and 3B models with SageMaker JumpStart today. Llama 3.2 models are offered in various sizes, from small and medium-sized multimodal models, 11B and 90B parameter models, capable of sophisticated reasoning t…