AWS DevOps & Developer Productivity Blog
Tag: AIOps
Directing ML-powered Operational Insights from HAQM DevOps Guru to your Datadog event stream
HAQM DevOps Guru is a fully managed AIOps service that uses machine learning (ML) to quickly identify when applications are behaving outside of their normal operating patterns and generates insights from its findings. These insights generated by DevOps Guru can be used to alert on-call teams to react to anomalies for business mission critical workloads. […]
DevSecOps with HAQM CodeGuru Reviewer CLI and Bitbucket Pipelines
DevSecOps refers to a set of best practices that integrate security controls into the continuous integration and delivery (CI/CD) workflow. One of the first controls is Static Application Security Testing (SAST). SAST tools run on every code change and search for potential security vulnerabilities before the code is executed for the first time. Catching security […]
Monitoring HAQM DevOps Guru insights using HAQM Managed Grafana
As organizations operate day-to-day, having insights into their cloud infrastructure state can be crucial for the durability and availability of their systems. Industry research estimates[1] that downtime costs small businesses around $427 per minute of downtime, and medium to large businesses an average of $9,000 per minute of downtime. HAQM DevOps Guru customers want to […]
Publish HAQM DevOps Guru Insights to ServiceNow for Incident Management
HAQM DevOps Guru is a fully managed AIOps service that uses machine learning (ML) to quickly identify when applications are behaving outside of their normal operating patterns and generates insights from its findings. These insights generated by HAQM DevOps Guru can be used to alert on-call teams to react to anomalies for mission critical workloads. […]
Gaining operational insights with AIOps using HAQM DevOps Guru
HAQM DevOps Guru offers a fully managed AIOps platform service that enables developers and operators to improve application availability and resolve operational issues faster. It minimizes manual effort by leveraging machine learning (ML) powered recommendations. Its ML models take advantage of AWS’s expertise in operating highly available applications for the world’s largest e-commerce business for […]