Advancing Azure service quality with artificial intelligence: AIOps
"In the era of big data, insights collected from cloud services running at the scale of Azure quickly exceed the attention span of humans. It's critical to identify the right steps to maintain the highest possible quality of service based on the large volume of data collected. In applying this to Azure, we envision infusing AI into our cloud platform and DevOps process, becoming AIOps, to enable the Azure platform to become more self-adaptive, resilient, and efficient. AIOps will also support our engineers to take the right actions more effectively and in a timely manner to continue improving service quality and delighting our customers and partners. This post continues our Advancing Reliability series highlighting initiatives underway to keep improving the reliability of the Azure platform. The post that follows was written by Jian Zhang, our Program Manager overseeing these efforts, as she shares our vision for AIOps, and highlights areas of this AI infusion that are already a reality as part of our end-to-end cloud service management."--Mark
Jun-30-2020, 05:15:55 GMT
- Industry:
- Information Technology > Services (1.00)
- Technology:
- Information Technology
- Cloud Computing (1.00)
- Data Science > Data Mining (0.50)
- Artificial Intelligence > Machine Learning (0.35)
- Information Technology