You can now consolidate metrics from your hybrid, multicloud, and on-premises data sources using Amazon CloudWatch and process them in a consistent, unified fashion. You can query, visualize, and alarm on any and all of the metrics, regardless of their source. In addition to giving you a unified view, this new feature will help you to identify trends and issues that span multiple parts and aspects of your infrastructure. When I first heard about this new feature, I thought, “Wait, I can do that with PutMetricData, what’s the big deal?” Quite a bit, as it turns out. PutMetricData stores the metrics in CloudWatch, but this cool new feature fetches them on demand, directly from the source. Instead of storing data,…
Category: AWS
Reposts from Amazon Web Services (AWS).
Announcing cross-region data replication for Amazon WorkSpaces
You can now use cross-region data replication to provide business continuity for your Amazon WorkSpaces users. Snapshots are taken every 12 hours, replicated to the desired destination region, and are used to provide a recovery point objective (RPO) of 12-24 hours. Multi-Region Resilience Review In her 2022 post Advancing business continuity with Amazon WorkSpaces Multi-Region Resilience, my colleague Ariel introduced you to the initial version of this feature and showed you how to use it to set up standby virtual desktops available for your users. After it has been set up, users log in with Amazon WorkSpaces registration codes that include fully qualified domain names (FQDNs). If the WorkSpaces in the primary region are unavailable, the users are redirected to…
Amazon Transcribe Call Analytics adds new generative AI-powered call summaries (preview)
We are announcing generative artificial intelligence (AI)-powered call summarization in Amazon Transcribe Call Analytics in preview. Powered by Amazon Bedrock, this feature helps businesses improve customer experience, and agent and supervisor productivity by automatically summarizing customer service calls. Amazon Transcribe Call Analytics provides machine learning (ML)-powered analytics that allows contact centers to understand the sentiment, trends, and policy compliance of customer conversations to improve their experience and identify crucial feedback. A single API call is all it takes to extract transcripts, rich insights, and summaries from your customer conversations. We understand that as a business, you want to maintain an accurate historical record of key conversation points, including action items associated with each conversation. To do this, agents summarize notes…
Build generative AI apps using AWS Step Functions and Amazon Bedrock
Today we are announcing two new optimized integrations for AWS Step Functions with Amazon Bedrock. Step Functions is a visual workflow service that helps developers build distributed applications, automate processes, orchestrate microservices, and create data and machine learning (ML) pipelines. In September, we made available Amazon Bedrock, the easiest way to build and scale generative artificial intelligence (AI) applications with foundation models (FMs). Bedrock offers a choice of foundation models from leading providers like AI21 Labs, Anthropic, Cohere, Stability AI, and Amazon, along with a broad set of capabilities that customers need to build generative AI applications, while maintaining privacy and security. You can use Amazon Bedrock from the AWS Management Console, AWS Command Line Interface (AWS CLI), or AWS…