Category: Artificial Intelligence

With organizations increasingly recognizing governance as a strategic enabler rather than a compliance burden, this year’s Cloud Governance under AWS Cloud Ops track delivers cutting-edge sessions that bridge the gap between operational excellence and business innovation. The governance landscape is evolving rapidly, and this year’s sessions are organized around four critical themes that reflect the […]

As organizations continue to scale their cloud presence, effective operations become increasingly critical for success. AWS re:Invent 2025’s Cloud Operations track brings together industry experts, AWS leaders, and customers to share insights on modernizing monitoring & observability through This blog post will guide you through the key themes of operations and observability and highlight sessions […]

Reimagine AIOps with Amazon CloudWatch Investigations and Amazon Nova Sonic in Amazon Bedrock to transform how cloud operations teams handle incidents. Traditional monitoring approaches require engineers to navigate multiple complex dashboards, analyze extensive logs, and manually execute remediation steps—a process that becomes particularly challenging during after-hours incidents or when away from workstations. When minutes matter […]

As organizations continue to scale and evolve their cloud environments, effective operations management has become more critical than ever. Operations management under the Cloud Operations track at AWS re:Invent 2025 offers a comprehensive lineup of sessions designed to help you build resilient, secure, and efficient operational practices across your AWS environment. Whether you’re managing complex […]

In today’s cloud-native world, incident response teams face overwhelming challenges. When critical applications fail, engineers must sift through mountains of observability data across multiple services; all while under intense pressure to restore service quickly. This manual correlation process is time-consuming, error-prone, and often delays resolution, resulting in extended outages and frustrated customers. Traditional monitoring tools […]

As organizations rapidly deploy large language models (LLMs) and generative AI agents to power increasingly intelligent workloads, they struggle to monitor and troubleshoot the complex interactions within their AI applications. Traditional monitoring tools fall short in providing the visibility across components, leading to developers and AI/ML engineers to manually correlate interaction logs or building custom […]

Introduction As the adoption of agentic AI applications continues to grow, ensuring the reliability, performance, and overall observability of these systems becomes increasingly critical. Agentic AI applications, powered by large language models (LLM) and integrated with various data sources and APIs, can quickly become complex, making it challenging to gain visibility into their inner workings […]

For organizations with multiple AWS accounts, staying on top of planned AWS service changes and events is critical to keep operations and business running smoothly. Organizations use AWS Health for ongoing visibility into resource performance and the availability of AWS services and accounts, but the volume of notifications from AWS Health can sometimes be overwhelming. […]

Introduction In order to enforce best practices for governance and compliance across AWS accounts in a centralized way, AWS Control Tower is an easy place to start.  However, ensuring continuous compliance requires regular drift detection and remediation, which Control Tower facilitates by providing a mechanism to detect drift and publish notifications to Amazon Simple Notification […]

Keeping your AWS infrastructure up-to-date and secure is a critical part of maintaining a robust and reliable cloud environment. AWS Systems Manager’s patching capabilities are a powerful tool in this effort, allowing you to automatically apply the latest security updates and bug fixes to your managed nodes, including Amazon Elastic Compute Cloud (EC2) instances, on-premises […]