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…
Category: AWS
Reposts from Amazon Web Services (AWS).
New Cost Optimization Hub centralizes recommended actions to save you money
Today, we are announcing Cost Optimization Hub, a new AWS Billing and Cost Management feature that makes it easy for you to identify, filter, aggregate, and quantify savings for AWS cost optimization recommendations. With the new Cost Optimization Hub, you can interactively query cost optimization recommendations such as idle resource detection, resource rightsizing, and purchasing options across multiple AWS Regions and AWS accounts in your organizations without any data aggregation and processing. You can find out how much you’ll save if you implement those recommendations and easily compare and prioritize recommendations by savings. Andy Jassy, CEO of Amazon, told shareholders, “We’re trying to build customer relationships (and a business) that outlast all of us, and as a result, our AWS…
Amazon CloudWatch Logs now offers automated pattern analytics and anomaly detection
Searching through log data to find operational or business insights often feels like looking for a needle in a haystack. It usually requires you to manually filter and review individual log records. To help you with that, Amazon CloudWatch has added new capabilities to automatically recognize and cluster patterns among log records, extract noteworthy content and trends, and notify you of anomalies using advanced machine learning (ML) algorithms trained using decades of Amazon and AWS operational data. Specifically, CloudWatch now offers the following: The Patterns tab on the Logs Insights page finds recurring patterns in your query results and lets you analyze them in detail. This makes it easier to find what you’re looking for and drill down into new…
Amazon Managed Service for Prometheus collector provides agentless metric collection for Amazon EKS
Today, I’m happy to announce a new capability, Amazon Managed Service for Prometheus collector, to automatically and agentlessly discover and collect Prometheus metrics from Amazon Elastic Kubernetes Service (Amazon EKS). Amazon Managed Service for Prometheus collector consists of a scraper that discovers and collects metrics from Amazon EKS applications and infrastructure without needing to run any collectors in-cluster. This new capability provides fully managed Prometheus-compatible monitoring and alerting with Amazon Managed Service for Prometheus. One of the significant benefits is that the collector is fully managed, automatically right-sized, and scaled for your use case. This means you don’t have to run any compute for collectors to collect the available metrics. This helps you optimize metric collection costs to monitor your…