What's New

IBM Cloud Functions Raises Operations Limits

Share this post:

IBM Cloud Functions is raising the memory execution level to 2Gb

We are increasingly seeing interest in using serverless technology to create on-demand high-performance compute clusters for embarrassingly parallel workloads. Monte Carlo methods, genetic algorithms, map-reduce, and a host of other combinatorial optimization and operations research algorithms lend themselves to running in a serverless environment.

Workloads like these are often compute and memory intensive. IBM Cloud Functions already has the ability to run 1,000 concurrent activations and I am happy to announce that we’ve raised the memory execution limit to 2Gb (2048 Mb) as well.

 

For up-to-date information on the system limits for IBM Cloud Functions, go to the systems limits & details page.

Program Director, IBM Cloud Functions & IBM Cloud Provider

More What's New stories
May 3, 2019

Kubernetes Tutorials: 5 Ways to Get You Building Fast

Ready to start working with Kubernetes? Want to build your Kubernetes skills? The five tutorials in this post will teach you everything you need to know about how to manage your containerized apps with Kubernetes.

Continue reading

May 3, 2019

Using Portworx to Deploy and Manage an HA MySQL Cluster on IBM Cloud Kubernetes Service

This tutorial is a walkthrough of the steps involved in deploying and managing a highly available MySQL cluster on IBM Cloud Kubernetes Service.

Continue reading

May 2, 2019

Kubernetes v1.14.1 Now Available in IBM Cloud Kubernetes Service

We are excited to announce the availability of Kubernetes v1.14.1 for your clusters that are running in IBM Cloud Kubernetes Service. IBM Cloud Kubernetes Service continues to be the first public managed Kubernetes service to support the latest upstream versions from the community.

Continue reading