AWS re:Invent 2025 has become an industry show, with this year’s event showcasing a partner ecosystem focused on agentic AI integration and unified observability. The conference featured major announcements from enterprise ISVs, security platforms, and enterprise software providers, all positioning their technologies to work seamlessly with AWS’s new AI capabilities.

All in, we tracked more than 100 vendor announcements at the event (not counting the ~50 from AWS itself). Here are a few infrastructure-related ones that we found most compelling and impactful.

Container Management and Linux Infrastructure

Enterprise Linux provider SUSE announced two significant collaborations with AWS during the conference, addressing both container orchestration and Linux package management for AWS customers:

SUSE Rancher Prime for AWS provides container management built specifically for Amazon EKS environments. Its key capabilities include:

• AI assistant powered by Amazon Q and Amazon Bedrock that delivers real-time insights within the Rancher Manager interface
• Unified management for security, observability, and cost optimization across containerized workloads
• Available through AWS Marketplace for simplified procurement

Supplementary Packages for Amazon Linux (SPAL) delivers thousands of enterprise-grade open-source packages that expand the Amazon Linux toolset. SUSE brings its Linux expertise and secure package delivery capabilities to Amazon Linux 2023 users, enabling faster deployment of complex enterprise software stacks.

SUSE also announced a strategic collaboration with AWS to integrate SUSE’s enterprise open source solutions with Amazon Q and Amazon Bedrock.

Observability

Observability is the unsung hero of both enterprise AI and multi-cloud IT. This year saw observability vendor announcements centered on integration with AWS’s new agentic AI services, particularly the AWS DevOps Agent and Amazon Bedrock AgentCore.

Dynatrace

Dynatrace achieved the AWS Agentic AI Specialization and was recognized as AWS Public Sector Technology Partner of the Year for LATAM.

Beyond the recognition from Amazon, Dynatrace made several AWS-specific announcements at the event:

• Modern Cloud Operations for AWS with automatic discovery of new services and native telemetry ingestion.
• AWS DevOps Agent integration for accelerated root cause isolation using domain-specific context.
• Amazon Bedrock AgentCore integration provides visibility into agentic systems across AWS services.
• AWS Security Hub integration for real-time observability and AI-driven security insights.

New Relic

New Relic announced several integrations connecting its observability platform to AWS’s AI services:

• MCP Server integration with AWS DevOps Agent and Amazon QuickSuite that generates root-cause analysis and business context when alerts fire.
• Amazon Q index integration into New Relic AI, enabling users to see both technical and business impact of incidents.
• Security RX Cloud with agentic integration for automated remediation of Infrastructure-as-Code vulnerabilities.

Datadog

Datadog signed a new Strategic Collaboration Agreement with AWS and announced a broad-set of product updates for AWS spanning AI observability, infrastructure monitoring, and security:

• LLM Observability for monitoring and debugging agent workflows for Amazon Bedrock Agents and Strands Agents Framework
• MCP Server integration with AWS DevOps Agent to automate incident resolution by enabling the agent to query Datadog logs, metrics, and traces
• Support for Datadog MCP Server in Kiro, providing full Datadog context including errors, recent deployments, and linked tickets
• Bits AI Serverless Remediation for troubleshooting serverless applications with AI-augmented remediation
• Bits AI Kubernetes Active Remediation for Amazon EKS workloads with AI-guided recommendations
• Storage Management providing granular visibility into Amazon S3 buckets and prefixes to eliminate waste
• Support for AWS Lambda Managed Instances and Amazon ECS Managed Instances
• AWS Lambda Cost Recommendations and Amazon RDS Instance Recommendations for automatic optimization
• AI Security for AWS Resources to detect AI misconfigurations for Amazon Bedrock
• Cloud SIEM Risk Insights to identify risks across AWS and multi-cloud environments

Elastic

Elastic added capabilities focused on log analysis and agent development:

• AI-powered Streams that automatically understand and enrich log formats for faster root-cause analysis
• Amazon Bedrock AgentCore integration to accelerate AI agent creation

NetApp’s Expanding Cloud Storage Footprint

NetApp announced capabilities that connect file-based enterprise data to AWS’s AI and analytics services without requiring data movement. The announcements address a key friction point for organizations with large on-premises data stores.

Amazon S3 Access Points for FSx for NetApp ONTAP enables:

• File data stored in FSx for ONTAP to be accessed via S3 API by AWS’s AI/ML and analytics services.
• Access to over 100 exabytes of enterprise data stored on NetApp systems for AI use cases.
• Built-in ONTAP replication capabilities for data mobility across hybrid cloud environments.

NetApp Workload Factory Enhancements include:

• AI-powered event intelligence for proactive issue identification
• Automated Best Practice Advisor for AWS Elastic VMware Service deployments
• VS Code and GitHub Copilot integration for infrastructure-as-code development
• Intelligent edge-aware caching for FlexCache relationships

IBM/AWS Expanded Partnership

IBM expanded its AWS partnership with several new agentic AI integrations that connect watsonx capabilities to AWS services:

• IBM watsonx Orchestrate integration with Amazon Bedrock AgentCore, bringing Bedrock models and memory modules into the IBM platform
• Bob is an AI-first integrated development environment for enterprise software development and modernization.
• ContextForge, an MCP gateway running on AWS infrastructure (Lambda, API Gateway, S3, DynamoDB) for building and securing AI agents
• Agentic framework for application migration and modernization, combining IBM assets with AWS native tools
• FedRAMP authorization for 11 IBM software solutions, expanding access in the federal market

Cybersecurity

Security vendors announced integrations that connect their platforms to AWS Security Hub and CloudWatch, creating unified visibility across security tools. The announcements reflect AWS’s push to consolidate security telemetry in its own services.

SentinelOne announced:

• Integrations between its Singularity platform and AWS Security Hub and Amazon CloudWatch.
• Purple AI MCP Server in AWS Marketplace for integration with any AI framework.
• Observo AI data pipeline in AWS Marketplace, following the company’s recent acquisition

Other security vendors also make announcements:

• ZEST Security: AI-driven capabilities that automatically reduce over 90% of vulnerabilities using AWS Service Control Policies.
• Salt Security: Ask Pepper AI, built on Amazon Bedrock, for API risk analysis using natural language.
• Sumo Logic: Expanded Dojo AI agents, including the SOC Analyst Agent and an MCP server.

Meanwhile, AWS updated AWS CloudWatch to include automated log collection from multiple security sources, including CrowdStrike, Microsoft Office 365, and SentinelOne,  storing the data in S3 Tables.

Analyst’s Take

The announcements at AWS re:Invent 2025 show a shift in how third-party vendors position themselves within the AWS ecosystem. Rather than competing on standalone capabilities, vendors are racing to become the integration layer between AWS’s new agentic AI services and enterprise workloads.

Looking across the announcements, several interconnected themes emerge:

• MCP is the standard for agentic AI. Not surprisingly, nearly every major vendor announced MCP server implementations or integrations across observability platforms, security tools, and development environments. This standardization reduces switching costs for customers but increases competitive pressure on vendors to differentiate beyond connectivity.
• The observability market faces consolidation pressure. Dynatrace, New Relic, and Elastic all announced similar integrations with AWS DevOps Agent and Amazon Bedrock AgentCore. The convergence of capabilities around automated root cause analysis and agentic troubleshooting suggests that observability vendors will compete on depth of AWS-specific knowledge and quality of AI-generated insights rather than breadth of platform features.
• Data gravity shifts toward AWS services. S3 is the lingua franca of AI storage, but NetApp’s S3 Access Points integration and IBM’s ContextForge both acknowledge that AI workloads increasingly run on AWS infrastructure. By making external data accessible through S3 APIs rather than requiring data movement, these vendors accept AWS’s storage as the integration point, potentially creating a network effect favoring AWS’s native services for new workloads while providing transition paths for existing enterprise data.

For vendors like IBM and SUSE with strong enterprise relationships and specialized capabilities, the AWS partnership provides distribution and validation.

For observability vendors facing three-way competition in a rapidly commoditizing market, the announcements suggest that differentiation will come from vertical specialization or superior AI model quality rather than platform breadth.

The security vendor announcements are worth paying attention to. AWS’s unified data store in CloudWatch, which automatically ingests logs from CrowdStrike, SentinelOne, and Microsoft, creates a moat around security operations. Independent security platforms must now justify their value beyond log aggregation, likely through specialized threat detection or compliance automation that AWS doesn’t provide natively.

The ecosystem announcements at re:Invent 2025 show that successful AWS partners will need deep integration with agentic AI services, differentiated AI models or domain expertise that AWS doesn’t replicate, and business models that complement rather than compete with AWS’s expanding service portfolio.