December 9, 2019 By Dharmesh Jain
Kiran Guduguntla
< 1 min read

Until now, IBM Analytics Engine (IAE) clusters were accessible only over the public network, by default. IAE clusters can now be deployed with private service endpoints.

Private service endpoints enable users to create IAE clusters accessible only within the IBM Cloud network. The article “Secure access to services using service endpoints” explains more about private service endpoints.

The IAE documentation provides exact steps that will walk you through how to provision a cluster with private service endpoints.

To access private service endpoints, you have to enable VRF and Service Endpoint on your IBM Cloud account. For instructions, refer to the “Enabling VRF and service endpoints“ document.

Benefits of using private service endpoints for IBM Analytics Engine (IAE)

  1. Traffic between IAE clients and private service endpoints remains within the IBM Cloud network, making it more secure.
  2. Private service endpoints are accessible from servers that are not on the public network.
  3. Inbound and outbound traffic on the private network is unlimited and not charged—previously, you’d be billed for egress bandwidth when talking to an IBM Cloud service.

When should you order a private vs. public endpoint IAE cluster?

  • If you plan to access an IAE cluster only from servers within IBM Cloud, you can provision private endpoint clusters. For example, if you plan to connect to an IAE cluster from an IBM Watson Studio notebook.
  • If you need to access an IAE cluster from applications outside of IBM Cloud, you can order public endpoint clusters.

Next steps

Review the IBM Cloud documentation to learn more about private endpoints.

Learn more about provisioning IBM Analytics Engine (IAE) clusters with private endpoints.

More from Analytics

How the Recording Academy uses IBM watsonx to enhance the fan experience at the GRAMMYs®

3 min read - Through the GRAMMYs®, the Recording Academy® seeks to recognize excellence in the recording arts and sciences and ensure that music remains an indelible part of our culture. When the world’s top recording stars cross the red carpet at the 66th Annual GRAMMY Awards, IBM will be there once again. This year, the business challenge facing the GRAMMYs paralleled those of other iconic cultural sports and entertainment events: in today’s highly fragmented media landscape, creating cultural impact means driving captivating content…

How data stores and governance impact your AI initiatives

6 min read - Organizations with a firm grasp on how, where, and when to use artificial intelligence (AI) can take advantage of any number of AI-based capabilities such as: Content generation Task automation Code creation Large-scale classification Summarization of dense and/or complex documents Information extraction IT security optimization Be it healthcare, hospitality, finance, or manufacturing, the beneficial use cases of AI are virtually limitless in every industry. But the implementation of AI is only one piece of the puzzle. The tasks behind efficient,…

IBM and ESPN use AI models built with watsonx to transform fantasy football data into insight

4 min read - If you play fantasy football, you are no stranger to data-driven decision-making. Every week during football season, an estimated 60 million Americans pore over player statistics, point projections and trade proposals, looking for those elusive insights to guide their roster decisions and lead them to victory. But numbers only tell half the story. For the past seven years, ESPN has worked closely with IBM to help tell the whole tale. And this year, ESPN Fantasy Football is using AI models…

IBM Newsletters

Get our newsletters and topic updates that deliver the latest thought leadership and insights on emerging trends.
Subscribe now More newsletters