Category: Artificial Intelligence

AWS CloudTrail tracks user and API activities across your AWS environments for governance and auditing purposes. Large enterprises typically use multiple AWS accounts, and many of those accounts might need access to a data lake managed by a single AWS account. By using Lake Formation integration with CloudTrail Lake, you can securely aggregate the data […]

AWS Config enables businesses to assess, audit, and evaluate the configurations of their AWS resources by leveraging AWS Config rules that represent your ideal configuration settings.  For example a Security Group that allows ingress on port 22 should be marked as noncompliant. AWS Config provides predefined rules called managed rules to help you quickly get […]

Introduction The integration of Generative AI into cloud governance transforms AWS account management into a more automated and efficient process. Leveraging the generative AI capabilities of Amazon Bedrock alongside tools such as AWS Control Tower and Account Factory for Terraform (AFT), organizations can now expedite the AWS account setup and management process, aligning with best […]

In Part 1 of this series, you learned about Blue/Green testing and deployment on AWS, a key strategy that increases application availability and reduces deployment risk by simplifying the rollback process if a deployment fails. We explored live replication using AWS Application Migration Service (AWS MGN) and introduced prebuilt post-launch actions with AWS Systems Manager […]

Customers are becoming more aware of the benefits of migrating to AWS in a world increasingly pivoting towards cloud adoption. A recent whitepaper by IDC found that customers who migrate to AWS can experience a 51% reduction in the cost of operations, a 62% increase in IT staff productivity, and a 94% reduction in downtime. […]

For production applications, the Mean-Time-To-Recovery (MTTR) is critical. In line with this, AWS offers Business, Enterprise On-Ramp and Enterprise support plans where AWS customers can benefit from shorter response time for cases related to production and business critical workloads. However, without having an automated way to notify AWS support, creating a case is a manual […]

Observability describes how well you can understand what is happening in a system, often by instrumenting it to collect metrics, logs, and traces. To achieve operational excellence and meet business objectives, you need to understand how your systems are performing. In order to accomplish this, many customers use Amazon CloudWatch to get real-time monitoring, alerts […]

To support business and internal processes, organizations are increasing their use of conversational interfaces. They offer opportunities for more availability, improved service levels, and reduced costs. As these conversational services become more important, so, does the need to monitor performance and effectiveness of these interfaces with analytics and dashboards. This analysis is used to drive […]

Amazon Bedrock is an easy way to build and scale generative AI applications with foundation models (FMs). As a fully managed service, it offers a choice of high-performing FMs from leading AI companies including AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon. It also offers a broad set of capabilities needed to build generative […]

AWS CloudTrail tracks user and API activities across AWS environments for governance and auditing purposes and allows customers to centralize a record of these activities. Customers have the option to send AWS CloudTrail logs to Amazon CloudWatch that simplifies and streamlines the analysis and monitoring of AWS CloudTrail recorded activities. Amazon CloudWatch anomaly detection allows […]