Security News > 2021 > May > Amazon DevOps Guru: ML-powered cloud operations service to improve application availability
Amazon Web Services announced the general availability of Amazon DevOps Guru, a fully managed operations service that uses machine learning to make it easier for developers to improve application availability by automatically detecting operational issues and recommending specific actions for remediation.
When Amazon DevOps Guru analyzes system and application data to automatically detect anomalies, it also groups this data into operational insights that include anomalous metrics, visualizations of application behavior over time, and recommendations on actions for remediation-all easily viewable in the Amazon DevOps Guru console.
When an analytics application using Amazon Relational Database Service begins to exhibit degraded latencies, Amazon DevOps Guru will detect the change by automatically analyzing the relevant metrics across the application stack, identify the underlying root cause, and provide a recommendation to resolve the issue.
Customers can also view correlated operational events and contextual data for operational insights within the Amazon DevOps Guru console and receive alerts via Amazon SNS. Additionally, Amazon DevOps Guru supports API endpoints through the AWS SDK, making it easy for Amazon Partner Network Partners and customers to integrate Amazon DevOps Guru into their existing solutions for ticketing, paging, and automatic notification of engineers for high-severity issues.
PagerDuty and Atlassian are among the AWS Partners that have integrated Amazon DevOps Guru into their operations monitoring and incident management platforms, and customers who use their solutions can now benefit from operational insights provided by Amazon DevOps Guru.
Together with Amazon CodeGuru-a developer tool powered by machine learning that provides intelligent recommendations for improving code quality and identifying an application's most expensive lines of code-Amazon DevOps Guru provides customers the automated benefits of machine learning for their operational data so that developers can more easily improve application availability and reliability.
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