BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//DevOps.com - ECPv5.16.4//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:DevOps.com
X-ORIGINAL-URL:https://devops.com
X-WR-CALDESC:Events for DevOps.com
BEGIN:VTIMEZONE
TZID:America/New_York
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20240310T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20241103T060000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240205T130000
DTEND;TZID=America/New_York:20240205T140000
DTSTAMP:20260814T091803
CREATED:20231209T080036Z
LAST-MODIFIED:20240205T191320Z
UID:167214-1707138000-1707141600@devops.com
SUMMARY:Solving Cloud-Native Complexity With AIOps for Observability
DESCRIPTION:Cloud native is increasingly popular for building and deploying modern applications because the architecture improves scalability while improving development efficiency and system resiliency. But with those benefits comes the challenge of complexity. Complexity coupled with the massive growth of data\, unpredictable costs and skills challenges of cloud-native environments render traditional application performance management (APM) and infrastructure monitoring tools all but useless. That’s where observability comes in. Observability platforms ingest and analyze massive amounts of data from multiple sources in real time\, allowing for a comprehensive view of a system’s behavior so potential issues can be identified as they arise. That’s powerful enough by itself–but add artificial intelligence for IT operations (AIOps) into the mix and organizations now have a major competitive advantage. AIOps functions can be used to automatically identify patterns in the multiple streams of data and highlight relationships and correlations that are not easily evident through common data visualizations and dashboards. \nThis can be particularly useful for detecting and resolving problems that are difficult to predict or that may be hidden within the system’s normal operating range. For example\, if an application is performing poorly\, AIOps can be used to automatically identify probable causes of slow or failed transactions. \nIn this webinar\, experts will explore the benefits and challenges of cloud-native architecture and how observability paired with AIOps can help cut through the complexity and make the most of your observability practice. \nYou’ll learn: \n\nWhy observability is critical for cloud-native applications\nWhat challenges cloud-native architectures pose for observability\nHow AIOps can help address those challenges
URL:https://devops.com/webinars/solving-cloud-native-complexity-with-aiops-for-observability/
LOCATION:Live Webinar\, Boca Raton\, FL\, United States
CATEGORIES:AIOps,Artificial Intelligence,Cloud-native application development,DevOps,Observability
ATTACH;FMTTYPE=image/png:https://devops.com/wp-content/uploads/2023/12/OnDemand-2024.02.05-DORT-LandingPage-1540x660-1.png
ORGANIZER;CN="DevOps.com":MAILTO:webinars@devops.com
END:VEVENT
END:VCALENDAR