Channel 3: Breakout Track Two
Thursday, July 16, 2020
Zenoss for Cloud Migrations
Jared Reimer: CEO, Cascadeo
Moving to the cloud? In this session, learn how Zenoss enterprise customers can leverage Cascadeo to rapidly deploy and operationalize cloud-first deployments on all three public cloud platforms without “lift and shift” — using automation to eliminate 80% of typical cost and effort. Plus: The world premiere of (cascadeo.io + Zenoss) AIOps as an end-to-end solution for operating hybrid cloud infrastructure.
Add to Google CalendarObservability Into AWS Cloud and Containers
Avro Chatterjee : Technical Manager, The Guardian Life Insurance Company of America
This session will cover how Guardian Life is leveraging Zenoss for observability into its AWS cloud. The session will talk about the strategies used for effective and efficient monitoring and alerting for compute resources running on AWS cloud including ECS containers, tag-based EC2 monitoring for applications and workloads running on them, autoscaling groups, load balancers, the relational database service (RDS), and serverless Lambda functions.
Implementation of Zenoss SaaS-based Monitoring at Geisinger Health System
Ernie Ishman : Sr. Director of IT, Geisinger Health System
This session will review many aspects of the monitoring modernization project at Geisinger Health System. This includes the process the organization executed to select, test, implement and move their out-dated monitoring to a fully operational Zenoss SaaS deployment.
Enabling Cloud Fluidity with your Monitoring Platform
Learn how the Zenoss Cloud platform can help you maintain critical visibility as your workloads are moving onto or between cloud providers as part of your overall migration strategy.
Automating the Business of IT Operations
Raj Jathar, AVP Solution Engineering and Technical Sales, DRYiCE by HCL Technologies
This session will cover the complementary nature of Zenoss and DRYiCE's iAutomate solutions. Join us to learn about how you can close the loop on Incident and Service Request Management by automatically remediating the issue when it occurs, thereby reducing MTTR even further.
Bringing On-Prem ML Use Cases to Production
Chanchal Chatterjee : Cloud AI Leader, Google
This session will focus on machine learning and analyze on-prem business-critical service assurance use cases, such as anomaly detection for data center applications. It will review how Kubeflow pipelines are bringing ML applications to a scalable, portable, composable and secure production platform. It will include a demonstration of an easy, step-by-step process with ML workloads and bringing them to a production on the Google Cloud Platform.
Digital Experience Monitoring
Jeff Graham : CEO, LayerX
In today's remote working world it is more important than ever to keep a tight tab on the digital experience of your employees and customers. That experience is tied directly to their productivity and efficiency, both of which have real economic impact on the company. This session will explore how Zenoss monitors users digital experience with unified communications (UC) and collaboration cloud platforms.
Monitoring, Incident Management & CMDB
Michael Shannon : Deployment Architect, Zenoss
This session will examine the Zenoss integrations with both CMDB and Incident Management systems. It will review the key updates that have been made to those integrations over the last year.