Got questions? Join IBM experts and help us take over the discussion forum on November 4th at 2pm Eastern/11am Pacific for a whole hour of AMA (Ask Me Anything). Our topic is Setting up Cloud Pak for Data, and we've arranged for experts from across IBM to be on hand to answer your questions.
Our experts will hop on the Cloud Pak for Data Community discussion forum at the designated time and start answering your questions.
If you can't be online during the hour, don't worry; you can post your questions in advance and read the responses later. To post a question in advance or during the event, add a reply to the post Questions for AMA: Setting up Cloud Pak for Data (be sure to reply to the parent post to add your new questions).
For this AMA, we're focusing on Setting up Cloud Pak for Data, so we'd love to get your questions about topics like:
- Planning and preparing, including storage support, planning for high availability and disaster recovery, regulatory compliance, multi-cloud (Azure, AWS, IBM Cloud, etc.)
- Installing the platform, including setting up a private container registry and performing installations in an air-gapped environment, installing on a shared cluster with dedicated nodes, and installing on a shared cluster with a namespace quota.
- Installing the services, including recommended service combinations and best practices for installing services.
- Setting up the platform, including certificates, using shared credentials, and creating a custom route.
- Securing the platform, including user management best practices around SSO and LDAP.
Will you be joining us? Add this event to your calendar, and we'll "see" you in the Cloud Pak for Data Community discussion forum on November 4th at 11:00 am Pacific/2:00 pm Eastern! This event will take place entirely in the discussion forum, so there is no meeting to join.
Bios
Lakshmana-Narasimhan Ekambaram
Architect - IBM Expert Labs, Cloud Pak for Data SWAT
Lakshmana helps large and global enterprises implement Data governance, Data science, and AI solutions on Hybrid, Multi-Cloud platforms. He leads the delivery of IBM's Data Science and AI solutions using IBM Cloud Pak for Data, Watson Services, and Red Hat OpenShift.
Yalon Gordon
Product Manager for Cloud Pak for Data on-premises deployment
Yalon and his team work with the many services within Cloud Pak for Data to create an end-to-end data platform that makes data useful to enterprises. Yalon focuses on Access Management, Cloud Pak for Data/OpenShift Container Platform lifecycles, and identifying customers' unmet needs.
Sachin Prasad
Product Manager for Cloud Pak for Data platform
Sachin is responsible for managing roadmaps and feature prioritization based on market assessments, competitions, client requirements, and general industry trends.
Hemanth Manda
Head of Strategic Partnerships, Data & AI
Hemanth Manda heads product management at IBM and is responsible for the Cloud Pak for Data platform. He has broad experience in the technology and software industry spanning a number of strategy and execution roles over the past 20 years. In his current role, Hemanth leads a team of product managers responsible for simplifying and modernizing IBM’s Data & AI portfolio to support cloud native architectures through the Cloud Pak for Data platform offering.
Deepak Rangarao
WW Technical Sales Leader - Cloud Pak for Data
Deepak provides thought leadership to our global technical sales team around Red Hat OpenShift and Cloud Pak for Data. Deepak is a Red Hat OpenShift Certified Technical Specialist with broad experience in defining Technical Strategy, Technical Sales, Implementation and growing the Partner Ecosystem around Hybrid Cloud and Big Data Analytics.
Sriram Srinivasan
Architect - Cloud Pak for Data, Distinguished Engineer
As the architect of Cloud Pak for Data, Sriram is responsible for its evolution into a modern Data & AI platform for the Hybrid cloud. Sriram focuses on Red Hat OpenShift and Kubernetes based deployment architectures, resiliency, security and developing solutions to simplify operational complexity. Sriram was previously responsible for architecture and development for IBM Data Science Experience Local and various Cloud Data Services and Data Warehousing engines.
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