Not the worse IBM product
Our IBM Cloud Functions [connects] various services by picking up JSON data from buckets at a certain time interval, modifying it, and …
Starting at $0 per second of execution
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What is IBM Cloud Functions?
IBM Cloud Functions is a PaaS platform based on Apache OpenWhisk. With it, developers write code (“actions”) that respond to external events. Actions are hosted, executed, and scaled on demand based on the number of events coming in. No servers…
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Pricing
Basic Cloud Functions Rate
$0.00017
Cloud
per second of execution
API Gateway Rate
Free
Cloud
Entry-level set up fee?
- No setup fee
For the latest information on pricing, visithttps://console.bluemix.net/openwhisk/l…
Offerings
- Free Trial
- Free/Freemium Version
- Premium Consulting/Integration Services
Product Details
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- Integrations
- Competitors
- Tech Details
- FAQs
What is IBM Cloud Functions?
IBM Cloud Functions is a serverless programming platform based on Apache OpenWhisk. Developers use their favorite programming language to write code (“actions”) that responds to external events. Actions are hosted and executed in IBM Cloud, and scale on demand based on the number of events coming in. There are no servers or other infrastructure to provision and manage.
Actions respond to a variety of events. Typical events include periodic timers for batch job processing, HTTP-based API requests for implementing RESTful APIs using Functions, and responding to change events requests from IBM Cloud services like Cloudant and IBM Cloud Event Streams, and third-party events like Slack and GitHub state changes.
Because Cloud Functions is a serverless, event-driven platform, you don't need to explicitly provision servers. Developers working with chatbots, blockchain, AI, APIs, microservices, mobile, IoT, and many other apps can focus on writing app logic instead of worrying about auto-scaling, high availability, updates, and maintenance. Out of the box auto-scaling and load balancing means that you don't have to manually configure clusters, http plugins, and so on. IBM takes care of all of the hardware, networking, and software administration. All you have to do is provide the code.
IBM Cloud Functions Features
Additional Features
- Supported: Elastic load balancing
- Supported: Template library of pre-written functions encapsulating common use cases
- Supported: Runtime build pack support for NodeJS, Python 2.7, Python 3, Swift, Ruby, Java, and executable programs written in Go, C++, shell script, etc.
- Supported: “Bring Your Own Container” runtime support – users can provide a docker container image for their function action(s).
IBM Cloud Functions Integrations
- GitHub
- Any 3rd party service where they support a webhook/trigger API (e.g. slack
- twilio)
IBM Cloud Functions Competitors
- AWS Lambda
- Azure Functions
- Google functions
IBM Cloud Functions Technical Details
| Deployment Types | Software as a Service (SaaS), Cloud, or Web-Based |
|---|---|
| Operating Systems | Unspecified |
| Mobile Application | No |
| Supported Countries | United States, United Kingdom, Australia, Germany |
| Supported Languages | English, French, German, Italian, Japanese, Korean, Portugese/Brazil, Spanish, Chinese simplified & traditional |
Frequently Asked Questions
IBM Cloud Functions is a PaaS platform based on Apache OpenWhisk. With it, developers write code (“actions”) that respond to external events. Actions are hosted, executed, and scaled on demand based on the number of events coming in. No servers or infrastructure to provision and manage.
AWS Lambda and Azure Functions are common alternatives for IBM Cloud Functions.
The most common users of IBM Cloud Functions are from Enterprises (1,001+ employees).
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Reviews and Ratings
(57)Reviews
(1-7 of 7)Companies can't remove reviews or game the system. Here's why
June 01, 2021
Not the worse IBM product
Score 3 out of 10
Vetted Review
Verified User
Our IBM Cloud Functions [connects] various services by picking up JSON data from buckets at a certain time interval, modifying it, and saving it to another bucket. We also have functions that connect to NLU, functions that connect to API endpoints, etc.
We have several python functions that we had set up as API calls, but we have changed them to be cloud functions instead. We are using these on different applications for several different clients. These perform operations such as validating files, computing a value based off of a previously set up machine learning model and more complex report/database queries that take more than a second or two.
July 02, 2019
IBM Cloud Functions user
We use IBM Cloud Functions in multiple client-facing projects. It allows us to quickly perform small tasks and checks without starting up complex infrastructure.
June 05, 2019
Serverless computing
We use it to compute the identity of the type of file being uploaded and also do a bunch of computing when required. Also, we use it for daily jobs.
February 20, 2019
Serverless computing is future and IBM Cloud Functions is here
We are using IBM Cloud Functions (ICF) to create enterprise level platforms that work with IBM Watson Cognitive services to do event-based processing. We have developed a platform to create Watson Assistant based virtual agents which use IBM Cloud Functions to fetch data from back-end systems or DB.
February 14, 2019
Good Functions for a Good Price
We use IBM Cloud Functions on a case by case basis for our app development teams. It helps our teams and developers scale on mobile and easily with swift integration
December 17, 2018
Serverless or server based? A short opinion
IBM Clound Functions are used to validate and analyze raw data that its arrival time and size hard to be predicted, since it depends on real world activities.