Tag: Internet

Amazon Lightsail now lets you deploy OpenClaw, a private self-hosted AI assistant, on your own cloud infrastructure in a simple and secure manner. Every Lightsail OpenClaw instance ships with built-in security controls, pre-configured and ready to use. Sandboxing isolates each agent session for improved security posture. One-click HTTPS access puts the OpenClaw dashboard in your browser securely, without requiring manual TLS configuration. Device pairing authentication ensures only your authorized devices can connect to your assistant. Automatic snapshots back up your configuration continuously, so you never lose your setup. Amazon Bedrock serves as the default model provider for Lightsail OpenClaw, and you can swap models or connect to Slack, Telegram, WhatsApp, and Discord as per your requirements. Amazon Lightsail is available in

Amazon OpenSearch Ingestion now supports Amazon Managed Service for Prometheus  as a sink, making it possible to build fully managed, end-to-end metrics ingestion pipelines without any custom forwarding infrastructure. With this launch, customers can now manage their entire metrics ingestion workflow using the same pipeline infrastructure they already use for logs and traces. Customers can now choose the right destination for each observability signal — sending logs and traces to Amazon OpenSearch Service for powerful full-text search, log analytics, and trace correlation, while routing metrics to Amazon Managed Service for Prometheus for time-series storage and analysis. This flexibility allows teams to build purpose-fit observability pipelines that leverage the strengths of each service without compromising on data fidelity or analytical capability. Amazon OpenSearch Ingestion's built-in data transformation and enrichment capabilities allow customers

We’re excited to announce Amazon GameLift Servers DDoS Protection, a new feature that helps game developers protect session-based multiplayer games that utilize Amazon GameLift Servers to help improve overall game session resiliency. DDoS Protection is designed to defend against denial-of-service (DoS) and distributed denial-of-service (DDoS) attacks, providing proactive, User Datagram Protocol (UDP)-based traffic protection–without the need for manual byte matching, and with negligible latency added. Amazon GameLift Servers DDoS Protection co-locates a relay network directly alongside your game servers. The relay authenticates client traffic using access tokens so that only authorized traffic reaches the server. The feature also enforces per-player traffic limits to help prevent disruptions, even from seemingly legitimate sources. Game developers can use DDoS Protection to protect against targeted d

Amazon SageMaker Unified Studio now supports AWS Glue 5.1 for Visual ETL, notebook, and code-based data processing jobs. With AWS Glue 5.1 in Amazon SageMaker Unified Studio, data engineers and data scientists can run jobs on Apache Spark 3.5.6 with Python 3.11 and Scala 2.12.18, and use updated open table format libraries including Apache Iceberg 1.10.0, Apache Hudi 1.0.2, and Delta Lake 3.3.2. You can use AWS Glue 5.1 in Amazon SageMaker Unified Studio when creating data processing jobs by selecting Glue 5.1 from the version dropdown in job settings. This applies to Visual ETL jobs, notebook jobs, and code-based jobs, so you can take advantage of the latest Spark runtime and open table format libraries across all your data processing workflows. AWS Glue 5.1 in Amazon SageMaker Unified Studio is available in all the regions wh

Amazon SageMaker Unified Studio now supports metadata and context sync across Atlan, Collibra, and Alation. These integrations synchronize catalog metadata between Amazon SageMaker Catalog and each partner platform, giving teams a consistent view of their data and AI assets regardless of which tool they use day to day. Organizations can maintain aligned glossary terms, asset descriptions, and ownership information across platforms without manual reconciliation. All three integrations synchronize key metadata elements including projects, assets, descriptions, glossary terms, and their hierarchies. With the Collibra integration, you can synchronize metadata in both directions between SageMaker Catalog and the partner platform, so updates you make in one are reflected in the other. Also, you can manage SageMaker Unified Studio data access requests from Collibra

Today, AWS announces the ability to remotely connect from Kiro IDE to Amazon SageMaker Unified Studio. This new capability allows data scientists, ML engineers, and developers to leverage their Kiro setup - including its spec-driven development, conversational coding, and automated feature generation capabilities - while accessing the scalable compute resources of Amazon SageMaker. By connecting Kiro to SageMaker Unified Studio using the AWS toolkit extension, you can eliminate context switching between your local IDE and cloud infrastructure, maintaining your existing agentic development workflows within a single environment for all your AWS analytics and AI/ML services. SageMaker Unified Studio, part of the next generation of Amazon SageMaker, offers a broad set of fully managed cloud interactive development environments (IDE), including JupyterLab and Code Editor based on Code-OSS (Open-Source Software). Start

Policy in Amazon Bedrock AgentCore is now generally available, providing organizations with centralized, fine-grained controls for agent-tool interactions. Policy operates outside your agent code, enabling security, compliance, and operations teams to define tool access and input validation rules without modifying agent code. Teams can author policies using natural language that automatically converts to Cedar, the AWS open-source policy language. Policies are stored in a policy engine and attached to an AgentCore Gateway, which intercepts agent-tool traffic and evaluates each request against the policies before allowing or denying tool access. Policy helps ensure agents operate within defined parameters while maintaining organizational visib

AWS Batch now allows you to configure a scale down delay for managed compute environments, helping reduce job processing delays for intermittent and periodic workloads. With the new minScaleDownDelayMinutes parameter, you can specify how long AWS Batch keeps instances running after their jobs complete (from 20 minutes to 1 week), preventing unnecessary instance terminations and relaunches that can delay subsequent job processing. You can configure the scale down delay when creating or updating a compute environment via the AWS Batch API (CreateComputeEnvironment or UpdateComputeEnvironment) or the AWS Batch Management Console. The delay is applied at the instance level, based on when each instance last completed a job. Scale down delay is supported today in all AWS Regions where AWS Batch is available. For more information, see the

AWS Config now supports 30 additional AWS resource types across key services including Amazon Bedrock AgentCore and Amazon Cognito. This expansion provides greater coverage over your AWS environment, enabling you to more effectively discover, assess, audit, and remediate an even broader range of resources. With this launch, if you have enabled recording for all resource types, then AWS Config will automatically track these new additions. The newly supported resource types are also available in Config rules and Config aggregators. You can now use AWS Config to monitor the following newly supported resource types in all AWS Regions where the supported resources are available: Resource Types: AWS::AppSync::DataSource

AWS is launching pricing for VPC Encryption Controls, a security and compliance feature that enables you to audit and enforce encryption-in-transit of all traffic flows within and across Virtual Private Clouds (VPCs) in a region. VPC Encryption controls can be enabled in two modes: Monitor mode detects presence of any unencrypted traffic within your VPCs, and Enforce Mode ensures all data-in-transit is encrypted and prevents the bring up of any resources that allow unencrypted traffic within your VPC.  Starting March 1, 2026, VPC Encryption Controls will transition from a free preview to a paid feature. You will be charged a fixed hourly rate for every non-empty VPC (VPC that has network interfaces in them) that has Encryption Controls enabled in either monitor or enforce mode. There will be no charge for empty VPCs that have encryption controls enabled. When you enable encryption support on a Transit Gateway, standard VPC Encryption Controls charges apply to all VPCs