AWS releases ML-powered DevOps Guru to improve app availability Wednesday, 05 May 2021 10:59 AWS releases ML-powered DevOps Guru to improve app availability
Shares
AWS has today announced the general availability of Amazon DevOps Guru, a fully-managed operations service that uses machine learning to detect operational issues and recommend specific actions for remediation.
The Amazon DevOps Guru service was first announced in December and is already in use by companies including Atlassian, PagerDuty, and Thomson Reuters. From today, it is available for all customers in the Asia Pacific (Sydney) region, as well as US East (N. Virginia), US East (Ohio), and US West (Oregon), Asia Pacific (Singapore), Asia Pacific (Tokyo), Europe (Frankfurt), Europe (Ireland), and Europe (Stockholm), with availability in additional regions in the coming months.
Amazon Web Services moves into application observability with Amazon DevOps Guru
SHARE
Amazon Web Services Inc. today made its application observability offering generally available, about six months after its launch in preview.
Amazon DevOps Guru is a machine learning-powered service that helps to detect operational issues for applications, generating reports and notifications and providing insights and recommendations for developers to remedy those problems.
The service is a fully managed offering that works by analyzing logs, metrics and events across 25 AWS resources in order to identify anomalous application behavior such as increased latency, error rates and resource constraints. The idea is to remedy these issues before they can cause outages or service disruptions, Amazon explained.
AWS launches DevOps Guru into general availability
AWS launches DevOps Guru into general availability
Utilises over 20 years of Amazon.com operational experience.
Swami Sivasubramanian (AWS) Credit: Amazon
Amazon Web Services (AWS) has launched its machine learning (ML) service Amazon DevOps Guru, which can detect operational issues and recommend actions for remediation, into general availability
Utilising over 20 years of Amazon.com operational experience in building, scaling, and maintaining applications, the service uses ML to collect and analyse data, such as application metrics, logs, events, and traces for identifying behaviours that differ from “normal” patterns.
If something out of the ordinary is spotted that could point to outages or service disruptions, like increased latency, error rates and resource constraints, these issues are flagged through the Amazon Simple Notification Service and partner integrations, with AWS identifying Atlas
Splunk launches Observability Cloud for multicloud application environments
SHARE
Data analytics firm Splunk Inc. is revamping the application and infrastructure monitoring experience for customers with the launch of its new Splunk Observability Cloud that helps detect operational issues affecting apps and the environments they run in, as well as providing investigation and troubleshooting capabilities.
The Splunk Observability Cloud is being made generally available today after it was unveiled during the company’s October 2020 Splunk .conf event. The company said at the time it was launching Splunk Observability Cloud to address the enterprise shift to multicloud information technology architectures.
That shift can cause major headaches for DevOps teams as it means their applications and services run across a sprawling infrastructure environment, making it hard to keep track of everything that happens within it. With the Splunk Observability Cloud, D
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.
Informed by years of Amazon.com and AWS operational excellence, Amazon DevOps Guru applies machine learning to automatically analyze data like application metrics, logs, events, and traces for behaviors that deviate from normal operating patterns.
When Amazon DevOps Guru identifies anomalous application behavior that could cause potential outages or service disruptions, it alerts developers with issue details to help them quickly understand the potential impact and likely causes of the issue, with specific recommendations for remediation.