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
April 9, 2019

IBM Cloud Continuous Delivery is Now Better with Unlimited Insights

Starting this month, we are bundling IBM Continuous Delivery and IBM DevOps Insights to make the build, test, deploy, and learn experience on IBM Cloud even better.

Continue reading

April 5, 2019

IBM Cloud Functions Adds Support for Cloud Object Storage Triggers

IBM Cloud Functions now allows you to create triggers based on Cloud Object Storage bucket changes. With the new package, you can create triggers and rules to fire actions when bucket objects are created, modified, or deleted.

Continue reading

March 19, 2019

Introducing Private Service Endpoints in IBM Cloud Kubernetes Service

IBM Cloud Service Endpoint allows customers to connect to IBM Cloud services through the internal IBM Cloud network. Moving these workloads from IBM’s public cloud network offers considerable advantages to the client.

Continue reading