Category: Management & Governance

Managing AI costs is a top challenge for organizations scaling generative AI on AWS. This post shows how AWS CUR 2.0, Amazon S3, and AWS Trusted Advisor form the data foundation that New Relic Cloud Cost Intelligence builds on for Amazon Bedrock workloads. The result is token-level cost visibility inside the observability workflows engineering teams already use, shifting AI from opaque experimentation to disciplined, ROI-driven operations.

The race to deploy agentic AI is outpacing the governance needed to put it into production – 74% of companies plan to deploy by 2027, yet only 21% have mature governance models. AWS launched GEAR (Governance Enabling Agentic Readiness) to close that gap, identifying partners whose governance accelerators compress months of setup into weeks and turn AI pilots into production-ready systems with measurable results.

As cloud-native environments expand, security and operations leaders face mounting pressure to reduce response times while managing growing alert volumes and team capacity. Elastic’s AI-powered features on Amazon Bedrock automate the path from detection to resolution across both security and observability workflows. Learn how conversational agents, automated workflows, and custom AI agents accelerate incident response and root cause analysis on AWS.

Amazon CloudWatch Logs centralization offers AWS partners and customers a streamlined alternative to complex, per-account log aggregation pipelines — consolidating logs from across multiple AWS accounts and regions into a single ingestion point for Splunk. By integrating natively with AWS Organizations, the solution automatically onboards new accounts and log groups, reducing operational overhead and total cost of ownership while preserving security boundaries and full data lineage.

Learn how to enhance your AWS security within your organization through Infrastructure as Code using ControlMonkey together with AWS Control Tower. This post illustrates the usage of both tools to comply with the PCI DSS standard. We’ll first look at how AWS Control Tower provides a foundation for secure, compliant infrastructure. Afterwards, we’ll explore how ControlMonkey enhances this foundation by allowing teams to enable control policies that are directly added to the IaC review GitOps process.

Learn how NeuBird, an AWS Advanced Technology Partner, offers Hawkeye, a GenAI-powered SRE assistant that helps IT teams automate incident response and troubleshooting in AWS environments. Hawkeye leverages Amazon Bedrock’s foundation models to automatically correlate telemetry data across AWS services, reducing Mean Time To Resolution by up to 90% while seamlessly integrating with Amazon CloudWatch and other AWS observability tools.

Modern infrastructure produces massive amounts of telemetry data, yet understanding what matters in real-time remains challenging for operations teams. Netdata addresses this with its new AI-powered feature, Netdata Insights, which leverages Amazon Bedrock and Anthropic Claude Sonnet to bring context-aware, actionable analysis to infrastructure monitoring. Through AI-generated reports, teams can quickly analyze capacity planning, optimize performance, and investigate anomalies in their systems.

The NIS2 Directive enhances EU cybersecurity across critical sectors. Learn how Netop provides an integrated solution, run on AWS, that helps customers align with NIS2 Directive goals. Discover how Netop helps address the challenges of NIS2, supporting cybersecurity resilience across critical sectors within the EU.

This post explains how Shorthills AI’s collaboration with AWS and DataStax’s Astra DB employs advanced search technologies and natural language processing for enterprise search. This collaboration supports customers making data driven business decisions by leveraging AWS’s enterprise-grade security features alongside DataStax’s high-performance vector search capabilities.

Learn how an AWS Advanced Technology Partner, Langfuse, offers an open-source LLM engineering platform that helps developers monitor, debug, analyze, and iterate on their LLM applications. Langfuse LLM engineering platform helps enterprises gain visibility into their LLM applications while seamlessly integrating with Amazon Bedrock and other popular AI frameworks.