So far it has been devices were reaching out to IoT Hub’s and Cloud and using the compute power for Edge and/or main computing apart from data handling, with AWS Greengrass it is reverse current!. You can use IoT and Lambda infrastructure that can trigger actions on devices that are connected via this framework and circuit is complete in terms of usage of the computing power in both directions apart from the existing bi-directional data transmission
Check this link for more.
Launched recently finally. It is catching up with AWS, Azure and IBM Bluemix and much later than PTC etc. But it has data for analytics that can propel it faster to realistic use cases deployment!.
Last month in Oracle World, Larry Ellison announced Oracle Cloud to compete with AWS and Azure.
Ellison showed off a new Oracle Dense Cloud IO bare metal cloud server offering that will provide developers with 36 CPU cores, 512GB of D-RAM, and 28.8TB of SSD storage. That’s a ton of compute capacity, all aimed at high-performance enterprise workloads. It’s more power than Amazon offers with one of its most powerful instance, the i2.8xlarge. It comes at a cost of $5.40 an hour, which is cheaper than what Amazon charges.
Some of the other pricing are also very competitive. Not sure how long they can sustain this and also not sure if there are some caveat’s like you need to get one Oracle database license to enable/use this!.
Check it out here
With lot’s of tools made to work with Linux and it’s variants, it’s time to make Windows like Linux Kernel with non GUI core, light and can run quickly on VMs.
Nano has no local login, is 64-bit all the way (applications, tools, and agents), and is fast to set up, update, and restart (for the rare times it needs to restart). It’s perfect for compute hosts in or out of a cluster, a storage host, a DNS server, an IIS web server, and any server-hosting applications running in a container or virtual-machine guest operating system.
Here is an interesting article that describes private cloud architecture within LinkedIn. All the required tooling along with infrastructure has been done by them internally. Summary of what they wanted to achieve in 2009 :
LinkedIn aspires to create systems that are elegant and refined to the point of being invisible
Lot’s of open source solutions melded to achieve this orchestra of tools that provides this invisible infrastructure(that’s the cloud!).
Will they move to Azure with Microsoft acquisition is something we have to see!.
Published an article in DZone, check it out.
Have published a blog post in IEEE computing now site on Docker container experience that I had recently and a brief history about it. Had previously posted one more on OneOps in the same site. Check it out and provide your comments.