Schlagwort: cloud computing

Announcing AWS Partner Central agents to accelerate co-sell

Today, AWS announces the general availability of AWS Partner Central agents, new AI-powered capabilities designed to accelerate partner co-selling with AWS. Built on Amazon Bedrock AgentCore, these agentic capabilities work alongside partner sales teams to shorten sales cycles and simplify funding access. AWS Partners can engage with these agentic capabilities directly in the console or programmatically through Model Context Protocol (MCP), enabling sales teams to access from within their own customer relationship management (CRM) systems.
With AWS Partner Central agents, partner teams get pipeline insights, tailored sales plays, and next-step recommendations on demand, so they know where to focus and what to do next. Partner sales teams can share meeting transcripts, notes, or emails with agents that automatically populate fields and advance deals, so they stay focused on selling, not data entry. Agents recommend funding at the opportunity level, highlight eligibility gaps, and create pre-populated fund requests, so partners capture available funding faster.
AWS Partner Central agents are available today in all commercial AWS Regions. To learn more about agentic capabilities in AWS Partner Central, review this blog. Partners can start using agents by visiting AWS Partner Central in the AWS console and accessing opportunities, after reviewing the agents guide, and to integrate agents into your own CRM, visit the Partner Central agents MCP server guide.
Quelle: aws.amazon.com

Amazon Timestream for InfluxDB 3 Now Supports Expanded Multi-Node Cluster Configurations

Amazon Timestream for InfluxDB now supports expanded multi-node cluster configurations for InfluxDB 3 Enterprise edition, enabling you to scale clusters up to 15 nodes for demanding production workloads requiring high read throughput and high availability. With this launch, you can now configure clusters with up to 15 nodes total, with one to four writer/reader nodes for data ingestion and queries, zero to 13 dedicated reader-only nodes for scaling query performance, plus a dedicated compactor node. This enables you to optimize for specific workload patterns. For example, you can create a dedicated reader-only nodes to handle read-heavy workloads such as dashboards, reporting, and analytical queries without impacting write performance. All Multi-node deployments distribute workloads across multiple nodes in different Availability Zones for enhanced fault tolerance and high availability With this release, you can now add and remove nodes from all Enterprise clusters, providing greater flexibility for managing your time series database infrastructure. You can also upgrade from Core edition to Enterprise edition to access multi-node deployment capabilities and compaction features essential for long-term storage. You can create expanded multi-node clusters using the Amazon Timestream for InfluxDB console. AWS CLI, or AWS SDKs by configuring custom parameter groups with your desired node topology. Amazon Timestream for InfluxDB 3 is available in all Regions where Timestream for InfluxDB is available. For more information, see the Amazon Timestream for InfluxDB documentation and pricing page.
Quelle: aws.amazon.com