Kategorie: Amazon AWS

Amazon EC2 C8id and M8id instances are now available in additional AWS Regions

Amazon Elastic Compute Cloud (Amazon EC2) C8id and M8id instances with up to 22.8 TB of local NVMe-based SSD block-level storage are now available in additional regions. C8id instances are now available in Asia Pacific (Sydney) and Canada (Central) and M8id instances are available in Asia Pacific (Mumbai) and Canada (Central).
Amazon EC2 C8id and M8id instances offer 3 times more vCPUs, memory and local storage compared to previous sixth-generation instances. These instances deliver up to 43% higher compute performance and 3.3 times more memory bandwidth compared to previous sixth-generation C6id and M6id instances. They also deliver up to 46% higher performance for I/O intensive database workloads, and up to 30% faster query results for I/O intensive real-time data analytics compared to previous sixth generation instances.

C8id instances are ideal for compute-intensive workloads, including those that need access to high-speed, low-latency local storage like video encoding, image manipulation, and other forms of media processing.
M8id instances are best for workloads that require a balance of compute and memory resources along with high-speed, low-latency local block storage, including data logging, media processing, and medium-sized data stores.

Additionally, customers can now adjust the network and Amazon EBS bandwidth on these instances by 25% using EC2 instance bandwidth weighting configuration, providing greater flexibility with the allocation of bandwidth resources to better optimize workloads. These instances offer Elastic Fabric Adapter (EFA) networking on 24xlarge, 48xlarge, metal-24xl, and metal-48xl sizes.
Customers can purchase these instances via Savings Plans, On-Demand instances, and Spot instances. For more information visit the Amazon EC2 C8id and Amazon EC2 M8id pages.
Quelle: aws.amazon.com

Amazon Connect Customer now supports points-based scoring in performance evaluations

Amazon Connect Customer now supports points-based scoring to evaluate human and AI agent performance, giving managers more flexibility in configuring evaluation scores. With points-based scoring, managers assign points to each criterion based on its importance to the business, and the score is the sum of the points earned. In contrast, with the existing percentage-based scoring, each question is assigned weights that need to add up to 100%. For example, a points-based evaluation might award 40 points for resolving the customer’s problem, 20 for meeting compliance requirements, and 10 for a proper greeting – without the need for scores to add up to 100. Managers control how points are awarded: combining several compliance criteria into one multiple-choice question to shorten the form, excluding the call reason from scoring, or awarding bonus points for strong customer rapport. Managers decide what counts, how much it counts, and what earns extra credit, so the score reflects what the business values most.
This feature is available in all regions where Amazon Connect Customer is offered. To learn more, please visit our documentation and our webpage.
Quelle: aws.amazon.com

AWS Lambda MicroVMs now supports AWS PrivateLink

AWS Lambda MicroVMs now supports AWS PrivateLink, enabling private connectivity to Lambda MicroVMs directly from Amazon Virtual Private Cloud (VPC) resources without exposing traffic to the public internet. This launch helps regulated workloads in financial services, healthcare, and government meet strict network isolation requirements when building with Lambda MicroVMs. 
PrivateLink VPC Endpoints deliver private connectivity to AWS services from your VPC, ensuring that your traffic does not travel over the public internet when communicating with AWS services. Today’s launch extends this capability to Lambda MicroVMs. Developers and IT teams needing private connectivity to Lambda MicroVMs can now create PrivateLink VPC Endpoints in their VPC to call MicroVM APIs (for example, to create MicroVM images or launch MicroVMs) and to connect to each MicroVM’s HTTP endpoint.
PrivateLink VPC Endpoints for Lambda MicroVMs can be created using the AWS Management Console, AWS CLI, AWS CloudFormation, or the AWS SDKs. This feature is supported in all Regions where Lambda MicroVMs is available. Visit the AWS Capabilities by Region page for the latest region availability.  
To learn more about using PrivateLink with Lambda MicroVMs, see the developer guide. For pricing details, see AWS PrivateLink Pricing. To learn more about configuring private connectivity for AWS services, visit the AWS PrivateLink developer guide. 
 
Quelle: aws.amazon.com

Capacity Reservation Resource Groups now support Amazon EC2 Capacity Blocks and interruptible Capacity Reservations

Starting today, you can add Amazon EC2 Capacity Blocks for ML and interruptible Capacity Reservations to Capacity Reservation Resource Groups. Amazon EC2 offers different reservation offerings such as On-Demand Capacity Reservations (ODCRs), interruptible Capacity Reservations, and Capacity Blocks for ML. Previously, a Capacity Reservation Resource Group could only include ODCRs. Now you can add any type of Capacity Reservation to a Capacity Reservation Resource Group, making it easier to launch EC2 instances across your entire portfolio of reserved capacity.
To use this feature, create a Capacity Reservation Resource Group, add any Capacity Reservation to it, and then target the group in your launch request. When using EC2 Fleet and EC2 Auto Scaling groups, you can also specify your prioritization preferences across reservation types, and configure automatic fall back to EC2 On-Demand capacity when there is no capacity remaining across your reservations.
There are no additional charges for using this feature. This feature is available in all AWS Regions where Capacity Blocks for ML and interruptible ODCRs are supported, excluding AWS GovCloud (US) and China Regions. To get started, see Capacity Reservation Resource Groups and the Capacity Reservations user guide.
Quelle: aws.amazon.com

AWS Batch now supports Amazon ECS Managed Instances

AWS Batch now supports Amazon ECS Managed Instances (ECS MI) as a new compute option, enabling you to run GPU-accelerated and compute-intensive batch workloads on AWS-managed infrastructure. With AWS Batch on ECS MI you can now access GPU-accelerated instances while AWS handles AMI updates, security patching, and instance lifecycle automatically, eliminating the operational overhead of customer-managed Amazon EC2 infrastructure. To get started, create an AWS Batch on ECS MI compute environment using the AWS Batch CreateComputeEnvironment API or the AWS Batch Management Console. You can specify your allowed instance types and networking configuration in the managedInstancesProvider block, associate the compute environment with a job queue, and submit jobs using On-Demand, Spot, or reserved capacity. AWS Batch on ECS Managed Instances is supported in all AWS Regions where AWS Batch is available. For more information, see the AWS Batch User Guide.
Quelle: aws.amazon.com

AWS IoT Core now supports native InfluxDB routing for time-series data

AWS IoT Core now supports InfluxDB rule action that routes time-series data from your Internet of Things (IoT) devices directly to InfluxDB databases, without writing custom device-side code or using intermediate cloud services. AWS IoT Core is a fully managed service that securely connects billions of IoT devices to the AWS cloud, and routes IoT device data to AWS and third-party services.
The new InfluxDB rule action automatically converts time-series data from your device to InfluxDB’s line protocol format and writes it to either an Amazon Timestream managed or a self-hosted InfluxDB cluster. The new rule action also supports the following two batching modes to help you optimize cost and throughput: device-side batching, where your devices send pre-batched payloads to AWS IoT Core; and server-side batching, where IoT rules engine aggregates individual messages before writing to InfluxDB. For example, a life sciences company can batch thousands of telemetry readings from scientific instruments at millisecond granularity and write directly to InfluxDB for monitoring, without building a custom data pipeline.
To get started, connect your IoT devices to AWS IoT Core and define an InfluxDB rule action specifying the destination database, along with authentication and batching parameters. The InfluxDB rule action is available in all AWS Global Regions where Amazon Timestream for InfluxDB is available. To learn more, visit the AWS IoT Core developer guide.
Quelle: aws.amazon.com

AWS Lambda functions now support full IAM resource-based policies

AWS Lambda functions now support full Identity and Access Management (IAM) resource-based policies, enabling platform admins and security teams to define granular access permissions using the full capabilities of AWS IAM. With full IAM resource-based policies, you can define permissions for multiple principals and actions in a single policy document and leverage the full range of IAM condition keys. Previously, Lambda functions required customers to add permissions individually per principal. This provided limited flexibility for platform admins and security teams who want to manage permissions at scale. Now, Lambda functions support full IAM resource-based policies, including the full range of IAM condition keys. This provides a broader range of policy capabilities and streamlines policy management for teams operating multi-account architectures or managing multiple resources. For example, you can now use IAM condition keys to restrict access based on source IP or principal tag, and platform teams can now allow multiple services to invoke a function by using a single policy, rather than maintaining multiple statements to add permissions. You can update resource-based policies in one step using the JSON editor in the AWS Lambda console, AWS CLI, AWS SDK, or infrastructure as code tools such as AWS CloudFormation and AWS SAM. To learn more, explore the Lambda resource-based policy examples in the AWS Lambda Developer Guide.  Full IAM resource-based policies are available in all AWS commerical Regions at no additional charge.
Quelle: aws.amazon.com

AWS Secrets Manager adds managed external secrets support for Cisco Security Platform and Netskope

AWS Secrets Manager now extends its managed external secrets capability to include Cisco Security Platform API keys and Netskope API tokens, enabling you to automatically rotate these third-party credentials directly from the AWS console without writing any custom rotation code.
For Cisco Security Platform (Security Cloud Control), Secrets Manager rotates the API key’s refresh token on your schedule, keeping the credential active and capturing the new refresh token Cisco periodically reissues. Following Cisco’s standard OAuth pattern, your applications exchange the stored refresh token for short-lived access tokens on demand. For Netskope, Secrets Manager rotates RBACv3 service-account REST API tokens through Netskope’s SCIM API and validates the newly generated token before completing rotation. Both integrations are self-authenticating — the stored credential authorizes its own rotation — so no separate administrator credential is required.
These integrations join existing managed external secrets support for BigID, Confluent Cloud, Datadog, GitLab, Jenkins, MongoDB Atlas, Okta, Paddle, Salesforce, Snowflake, and SonarQube.
Cisco Security Platform and Netskope managed external secrets are available in all AWS Regions where AWS Secrets Manager managed external secrets is supported. To learn more, visit the  AWS Secrets Manager managed external secrets documentation .
Quelle: aws.amazon.com

Amazon RDS for Oracle now supports July 2026 Release Update

Amazon Relational Database Service (Amazon RDS) for Oracle now supports the Oracle July 2026 Release Update (RU) for Oracle Database versions 19c, 21c and 26ai. We recommend upgrading to the July 2026 RU as it includes security updates for Oracle database products.
Starting with July 2026 releases, the naming format for an RU in Oracle Database 19c changes to <version>.ru-<YYYY-MM>.mrp-<YYYY-MM>.r<N>. For example, the RDS for Oracle July 2026 quarterly RU for Oracle Database 19c is named 19.0.0.0.ru-2026-07.mrp-2026-07.r1. When Oracle releases a monthly Critical Security Patch Update (CSPU) for Oracle Database 19c and 26ai, Amazon RDS will make it available as an MRP version that bundles the CSPU with additional Oracle-recommended fixes. Oracle Database 21c RUs retain their existing naming format. For details, see Release updates and monthly recommended patches. 
You can apply the July 2026 RU from the Amazon RDS Management Console, or by using the AWS SDK or CLI. To automatically apply updates to your database instance during your maintenance window, enable Automatic Minor Version Upgrade.
You can also use AWS Organizations upgrade rollout policy to stagger automatic minor version upgrades for your Amazon RDS database instances. This feature allows you to automatically apply updates to non-production environments, validate the updates, and then automatically apply the same update to production environments. For additional details about using AWS Organizations upgrade rollout policy for automatic minor version upgrades, refer to Amazon RDS for Oracle documentation. 
Quelle: aws.amazon.com

Amazon Connect Customer now lets you update the customer profile on a case or add a profile after a case is opened

Amazon Connect Customer now lets agents change the profile on a case or choose a profile after the case is opened. If a case is linked to the wrong customer, agents can update the profile to keep case histories accurate. Agents can also add a profile later when the customer is not identified at case creation, such as for calls from a shared phone number or issues that require identity verification.
Amazon Connect Cases is available in the following AWS regions: US East (N. Virginia), US West (Oregon), Canada (Central), Europe (Frankfurt), Europe (London), Asia Pacific (Seoul), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), and Africa (Cape Town). To learn more and get started, visit the Amazon Connect Cases webpage and documentation.
Quelle: aws.amazon.com