AWS AIOps Workshop

Looking to apply AI and ML to your DevOps strategy? Join us for a live, one-day event to learn more about how AWS AI services are designed to optimize your development operations.

About the event

As applications become increasingly distributed and complex, IT operations teams need more automated practices to maintain application availability and reduce the time and effort spent detecting, debugging, and resolving operational issues manually.

Join this in-person, hands-on workshop comprising of live presentations and interactive labs, to learn how you can leverage a fully managed AIOps solution from AWS to detect, diagnose and remedy anomalous application behavior in your Serverless infrastructure.

Who should attend

DevOps Engineers, Site Reliability Engineers and IT Operators interested in learning about AWS AIOps solutions and how to improve the availability of serverless applications. It doesn’t matter if you work at a small startup or a large, enterprise organization, this event is designed to help you leverage AIOps to identify operational issues long before they impact your customers. No prior cloud computing or ML experience is required!

Speakers

AWS
Mohit
 (Solutions Architect)
Dimple
 (Sr.Solutions Architect)
Alyssa
 (Customer Success Lead)
Triumph Tech
Lance
(Chief Data Scientist)

About Triumph Tech

Triumph Technology Solutions is an all-in Advanced Tier Services Partner focused on helping customers leverage the capabilities of the cloud to achieve operational excellence, well-rounded security, increased reliability, enhanced performance, and total cost optimization. Triumph specializes in cloud migrations, containers and serverless infrastructure, data and analytics, artificial intelligence/ machine learning, and high-performance computing. Triumph works closely with mid-market, startup, and enterprise AWS customers.

VENUE

Amazon Campus

LOCATION

10300 Campus Point Drive
Suite 200, Room – SAN13 02.368
San Diego, CA 92121

DATE & TIME

Sept 28, 2022
10am – 2pm PST

LUNCH

Provided by Triumph Tech

VENUE

Amazon Campus

LOCATION

10300 Campus Point Drive
Suite 200, Room – SAN13 02.368
San Diego, CA 92121

DATE & TIME

Sept 28, 2022
10am – 2pm PST

LUNCH

Provided by Triumph Tech

AWS AIOps Workshop

Looking to apply AI and ML to your DevOps strategy? Join us for a live, one-day event to learn more about how AWS AI services are designed to optimize your development operations.

About the event

As applications become increasingly distributed and complex, IT operations teams need more automated practices to maintain application availability and reduce the time and effort spent detecting, debugging, and resolving operational issues manually.

Join this in-person, hands-on workshop comprising of live presentations and interactive labs, to learn how you can leverage a fully managed AIOps solution from AWS to detect, diagnose and remedy anomalous application behavior in your Serverless infrastructure.

Who should attend

DevOps Engineers, Site Reliability Engineers and IT Operators interested in learning about AWS AIOps solutions and how to improve the availability of serverless applications. It doesn’t matter if you work at a small startup or a large, enterprise organization, this event is designed to help you leverage AIOps to identify operational issues long before they impact your customers. No prior cloud computing or ML experience is required!

Speakers

AWS

(Solutions Architect)
 (Sr.Solutions Architect)
 (Customer Success Lead)
Triumph Tech
(Chief Data Scientist)

About Triumph Tech

Triumph Technology Solutions is an all-in Advanced Tier Services Partner focused on helping customers leverage the capabilities of the cloud to achieve operational excellence, well-rounded security, increased reliability, enhanced performance, and total cost optimization. Triumph specializes in cloud migrations, containers and serverless infrastructure, data and analytics, artificial intelligence/ machine learning, and high-performance computing. Triumph works closely with mid-market, startup, and enterprise AWS customers.