IBM Cloud Foundry is an IBM version of the open-source platform designed for building, testing, deploying, and scaling applications. Enterprises can run Cloud Foundry in a public isolated environment, while natively integrating with other IBM Cloud services, such as AI, Blockchain, and IoT.
IBM Cloud Foundry is our first choice industry-standard platform as a service (PaaS) which has always provided us with quicker, simpler, and more consistent ways for the deployment of the cloud-native applications which in result saved us lots of time and money.
Why I prefer IBM Cloud Foundry platform over AWS Elastic Beanstalk or Heroku Platform is the automation of development process and pushing of projects to cloud with clear step by step instructions - which is available on the documentation. I can say categorically, the terminal …
IBM Cloud Foundry (CF) is simpler and there is a service model that fits most of our internal services. We are going to Loopback for API and Node.js and we have an easy path to go with Bluemix. It's a very easy way to start if you are moving to the cloud and mainly if you are …
Cloud Foundry has lot of benefits because platform as a service provided for the developers to implement applications based on the use cases. Different use cases required different buildpacks to run on. It has flexibility to code, push, and run flexibility. Provided ease of use …
We have had to move our deployments to Kubernetes because we needed more reliability. We moved to Google because IBM rates and billing was so backward and expensive. Our client was also very angry at all the outages, lost revenue, production down time and inordinately expensive …
While we are still looking at Kubernetes and other services, we will continue to use Cloud Foundry because of the advantages it provides. The support from IBM is good and take a lot of work that our developers and ops had to do away.
It is a cloud-based solution and for all my customers that want to migrate to cloud, this is the solution that we are proposing to customers, as it provides a lot of benefits over private cloud. Scalability and resiliency are not a major challenge and it can be used with other …
CF is what we initially went with to establish a development pipeline and start our cloud journey, now we are expanding this and although we are now pulling in many other tools and functions around CF, it is not being replaced. It stands out as having a key place working ‘with’ …
We chose to go with more bare metal options since Bluemix didn't really offer these at the time. It was simpler to get up and running with the bare metal service, and we felt that any problems we ran into would be a result of our own incompetence rather than problems with the …
Solution Analyst — Machine Assisted Service Enagagement
Chose IBM Cloud Foundry
I have use EC2 and Microsoft's Azure. To me, both Azure and Bluemix were fantastic, but they each had some pros and cons. Azure had more services to offer, but their biggest flaw was in their inability to integrate and work with external platforms, APIs, Programs, etc.. Like …
While IBM works well is when being used by large organizations, these other vendors work well with smaller organizations. We ended up being willing to pay more for Heroku, as they have such an easy-to-use service, and our deployments worked as expected every time.
Used AWS and Azure. AWS has more features and a far superior interface responsivesness. It's actually usable! That being said default configurations and menus in AWS are more cryptic then necessary. Azure seems to be the gold standard for pre-configuration and ease of use. …
Bluemix had a much easier route to get into the artificial intelligence side of things with Watson skills. It also seemed a lot more straightforward to use things like the Weather Channel data, sentiment analysis... etc., than the others. I'd also had a bad experience with AWS …
We have used Red Hat which does not do business in Australia with people like us. They were a promising service (PaaS) while we were able to use the free version but as soon as we needed access to serious mobile-first services we had to pay and their policy meant we had to …
I like when the provider offers cloud deployment via standard orchestration mechanisms (like Docker, Kubernetes, DCOS) This is currently well covered by Azure. Amazon also has good flexibility (supports Kubernetes, DCOS). It's good that Bluemix added support for Docker and …