Cloud Computing Köln

Amazon CloudWatch introduces Log Analytics for unified log analysis

Amazon CloudWatch now offers Log Analytics, a unified console experience that brings together CloudWatch Logs Insights for querying and analyzing log data, Live Tail for real-time log streaming, and Contributor Insights for identifying top contributors – all in one place. With this launch, customers can execute multiple queries in different tabs and use all existing Logs Insights features such as patterns, saved queries with parameters, facets for interactive log exploration, natural language query generation, and visualizations. Live Tail and Contributor Insights are also accessible from within Log Analytics, which is the default experience. Customers who opt out will see Logs Insights, Live Tail, and Contributor Insights alongside Log Analytics. Log Analytics is available in all commercial AWS Regions. Log Analytics uses the same pricing as its underlying capabilities – Logs Insights queries, Live Tail, and Contributor Insights. For pricing details, see CloudWatch pricing. To get started, select Log Analytics in the CloudWatch console. Learn more in the CloudWatch Logs documentation.
Quelle: aws.amazon.com

Amazon FSx for OpenZFS now supports on-demand data replication across AWS opt-in Regions

Amazon FSx for OpenZFS now supports on-demand data replication across AWS opt-in Regions, enabling you to easily and efficiently transfer incremental point-in-time snapshots of your volumes beyond AWS Regions that are enabled by default. On-demand data replication provides a simple and resilient way to implement disaster recovery, replicate production data to a different Region or account, and enable lower latency data access for your global customer base or workforce.
Amazon FSx for OpenZFS provides fully managed, cost-effective, shared file storage powered by the popular OpenZFS file system, with rich data management capabilities like snapshots, data cloning, and compression, along with sub-millisecond latencies and up to 10 GB/s of throughput. Opt-in Regions are AWS Regions that are disabled by default, in contrast to regions that are enabled by default. Previously, on-demand data replication was supported only between accounts in AWS Regions that are enabled by default. Starting today, you can replicate snapshots to and from opt-in Regions, expanding the AWS Regions where you can build cross-Region disaster recovery and data distribution architectures.
On-demand data replication across opt-in Regions is available in all AWS Regions where Amazon FSx for OpenZFS is offered, including the supported opt-in Regions. There is no additional charge for on-demand data replication. Standard AWS data transfer charges apply when replicating across AWS Regions or accounts. To get started, visit the Amazon FSx console or refer to the on-demand replication documentation. To learn more, visit the Amazon FSx for OpenZFS product page.
Quelle: aws.amazon.com

Amazon Bedrock AgentCore Memory now supports strictly consistent metadata for long-term memory

Amazon Bedrock AgentCore Memory extracts useful information from short-term memory and stores it as long-term memory records. Metadata on these records helps organize, filter, and route them for retrieval. Previously, metadata values could only be inferred by the LLM during extraction. Now, you can also attach metadata values directly from your application, ensuring they pass through extraction and consolidation exactly as supplied with no LLM inference. When you set a metadata key’s extraction type to STRICTLY_CONSISTENT, the value you provide on the short-term memory event is the value that lands on the resulting long-term memory record unchanged.
Strictly consistent metadata also isolates how events are grouped. Events sharing the same values are extracted together and consolidated together. Records with different values are never merged, even if semantically similar. This enables department-scoped retrieval, compliance boundaries between regulated and standard records, and multi-tenant memory where each tenant’s data is processed independently.
You can configure up to three strictly consistent keys per strategy. The feature is supported on semantic, user preference, and episodic strategies, including custom overrides. Keys must be of type STRING and declared in the memory’s indexed keys. Both LLM-inferred and strictly consistent keys can coexist on the same memory resource. To get started, see Long-term memory metadata. Amazon Bedrock AgentCore Memory strictly consistent metadata is available in all AWS Regions where AgentCore Memory is supported.
Quelle: aws.amazon.com

Grok 4.3 from xAI now available in Amazon Bedrock

Today, AWS announces the availability of xAI’s Grok 4.3 model on Amazon Bedrock. With this launch, xAI joins Amazon Bedrock as a model provider, giving you even more choice as you build generative AI applications across reasoning, agentic, and enterprise workflows.
Grok 4.3 is a reasoning-first model that offers always-on and configurable reasoning effort (none, low, medium, high). Because reasoning is always active rather than optional, it behaves more consistently across multi-step agent loops than models that can skip thinking. It also offers strong tool use and instruction-following capabilities for building multi-step agents, and token efficiency to help keep high-volume inference cost-effective. Grok 4.3 is especially well suited to enterprise workloads such as contract review, case law research, credit agreement analysis, and financial document Q&A, while delivering consistent, high-quality results across conversational AI, search, chat, and multi-turn workflows. Grok 4.3 runs on Mantle, a new inference engine in Amazon Bedrock designed for price performance, with support for tool calling, structured output, and response streaming.
See region availability of Grok 4.3 for list of supported regions. To get started, visit the Grok 4.3 model detail page in our documentation.
Quelle: aws.amazon.com

AWS Management Console Private Access now works without internet connectivity

AWS Management Console Private Access now enables customers to access the AWS Console from VPCs without internet connectivity, allowing enterprises to manage their AWS infrastructure through the console while maintaining strict network security controls in air-gapped environments. Previously, AWS Management Console Private Access allowed customers to restrict console access to authorized AWS accounts and corporate networks but still required internet connectivity. With this launch, AWS Console traffic can flow through VPC endpoints for the supported service consoles, eliminating the need for any internet access. This capability is particularly valuable for customers in regulated industries such as financial services, government and defense, and healthcare, and for enterprises with strict security requirements who need to access sensitive data only from controlled environments and use the console in classified or networks without internet connectivity. AWS Management Console Private Access uses AWS PrivateLink to establish secure network paths between customer VPCs and the console. Customers can apply VPC endpoint policies to restrict access to specific AWS accounts and organizations, and use IAM, Service Control, and Resource Control policies to require that employees access resources only from authorized networks.
This capability is available in all AWS commercial regions. You pay only for the underlying AWS PrivateLink VPC endpoint usage and data processing. To get started and learn about the supported services, visit the Management Console Private Access documentation.
Quelle: aws.amazon.com