Schlagwort: cloud computing

AWS EC2 Auto Scaling now supports Launch Before Terminate at account-level to replace instances

AWS EC2 Auto Scaling now lets you enable Launch Before Terminate as the default replacement behavior across all Auto Scaling groups in your account. When enabled, Auto Scaling launches a replacement instance and waits for it to pass health checks before terminating the instance it replaces, helping your applications maintain full capacity and availability during instance replacement events. This applies to replacement events such as instance refreshes, rebalancing, health checks, and maximum-instance-lifetime replacements.
You can enable Launch Before Terminate through AWS EC2 Auto Scaling account settings, which let you configure the behavior once at the account level instead of on each Auto Scaling group individually. You can manage the setting with the new `PutAccountSetting` and `DescribeAccountSettings` APIs, available through the AWS Management Console, AWS CLI, or AWS SDKs.
Launch Before Terminate is available in all AWS Regions at no additional cost.
To learn more, see Launch Before Terminate in the AWS EC2 Auto Scaling User Guide and AWS EC2 Auto Scaling API Reference Guide.
Quelle: aws.amazon.com

Amazon Connect Customer now measures the outcomes that drive retention and revenue

Amazon Connect Customer now scores the outcome of your customer interactions. It shows whether the customer left satisfied, is at risk of churning, made a purchase, or resolved their need in self-service. You can now see whether an interaction worked, not just how efficiently it ran. Each metric comes with a default definition you can adjust to match how your business defines success and are available both through the analytics dashboards and APIs.  
Quelle: aws.amazon.com

Amazon Connect Customer now lets you view metrics by customer lifetime value and repeat-caller status

Now you can view your metrics across customer segments: customer lifetime value (LTV) and repeat callers. See how any metric differs for repeat callers versus the rest of your contacts, or how results hold up among your highest-LTV customers; so you can spot the groups trending the wrong way before it shows up in the aggregate. Where a segment is underperforming, you can act. Route high-LTV customers to your most effective people, adjust the knowledge bases and self-service flows that repeat callers are falling back from, or refine agent guidance for segments where satisfaction is slipping. The segment tells you where to look; the metrics tell you what to fix.
Quelle: aws.amazon.com

Amazon WorkSpaces Core Managed Instances now supports ModifyVolume API

Amazon WorkSpaces Core Managed Instances now supports the ModifyVolume API, which lets you change volume size, volume type, IOPS, or throughput in place, without detaching the volume or restarting the instance. Previously, changing storage capacity or performance on a deployed managed instance required rebuilding it.
With ModifyVolume, you can increase volume size up to 16,384 GiB, switch between supported Amazon EBS volume types, adjust IOPS for gp3, io1, and io2 volumes, and modify throughput for gp3 volumes. The API supports idempotency tokens to prevent duplicate changes, and you can track progress with the Amazon EC2 DescribeVolumesModifications operation.
ModifyVolume is available in all AWS Regions where Amazon WorkSpaces Core Managed Instances is available.
To get started, call ModifyVolume directly, or use it through your WorkSpaces Core partner solution once available. To learn more, see ModifyVolume in the WorkSpaces Instances API Reference and Limitations in the Amazon EBS User Guide, or visit WorkSpaces Core.
Quelle: aws.amazon.com

OpenAI GPT-6.1 Terra is now generally available on Amazon Bedrock

Today, AWS announces the general availability of OpenAI GPT-6.1 Terra on Amazon Bedrock. GPT-6.1 Terra expands the GPT-6 family with a balance of capability, speed, and cost efficiency for everyday workloads. 
As the newest model in the Terra line, GPT-6.1 Terra combines detailed visual reasoning, accurate computer use, and improved factuality and natural writing over GPT-5.6 Terra, for complex workflows. In OpenAI’s Agents’ Last Exam evaluation, it scored 15 percentage points higher than GPT-5.6 Terra, performed on par with GPT-6 Astra, and completed tasks more than three times faster than GPT-6 Astra and GPT-6.1 Sol. GPT-6.1 Terra offers balanced performance with input and output token prices at least 50% lower than those of GPT-6.1 Sol and GPT-5.6 Terra. It supports a context window of up to 1 million input tokens and accepts both text and image inputs. The Amazon Bedrock inference engine delivers the performance, security, and scale required for enterprise workloads. 
You can call GPT-6.1 Terra directly through Amazon Bedrock APIs or configure ChatGPT Work and Codex to use the model on Amazon Bedrock. Use it to draft proposals, interpret technical drawings, investigate codebases, and build agents that operate across business systems.  Established AWS controls help you secure workloads, govern access, and audit model invocation activity. 
You can get started in the Amazon Bedrock console or programmatically through supported Amazon Bedrock APIs. For information about supported AWS Regions, endpoints, APIs, features, inference profiles and pricing, see the Amazon Bedrock documentation.  
Quelle: aws.amazon.com