AWS IoT Core is a managed cloud service that lets connected devices interact with cloud applications and other devices. It includes the Device Gateway and the Message Broker, which connect and process messages between IoT devices and the cloud. AWS IoT Core connects AWS and Amazon services like AWS Lambda, Amazon Kinesis, Amazon S3, Amazon SageMaker, Amazon DynamoDB, Amazon CloudWatch, AWS CloudTrail, Amazon QuickSight, and Alexa Voice Service to build IoT applications that gather, process,…
$0.08
Per Million Minutes
IBM Cloud Pak for Applications
Score 7.8 out of 10
N/A
IBM Cloud Pak® for Applications (CP4Apps) is an end-to-end hybrid cloud application platform, providing flexibility for deployments, building new cloud-native applications, refactoring and re-platforming existing applications. Designed to leverage a collection of application runtimes, modernization tools and a Kubernetes container platform to adapt to their landscape needs.
End-to-end encryption is an amazing feature because we use IoT to connect to various devices in order to gather data/ stats in real-time. We're able to publish solutions with ease and at a faster rate because of AWS IoT Core. However, its inability to interact with other IoT tools is a big con that I would like them to improve upon.
IBM Cloud Pak for Applications is clearly suitable for modernizing the WebSphere runtime from the heavy, complex and expensive WAS-ND, and to a lesser extent WAS-base, to the super simple, fast and lightweight WebSphere Liberty runtime. I guarantee, once you start using Liberty you'll never look back. Enough cannot be said about how awesome Transformation Advisor is. The output analysis it produces, along with the migration plan and associated artifacts, considerably simplifies both the decision-making process surrounding modernization and subsequent implementation. Without TA we would've made bad decisions by blindly picking unsuitable apps for moving from WAS to Liberty. Using the results from TA we've excluded multiple WAS apps from our immediate plans to migrate to Liberty, saving time and effort that probably would have resulted in a failed migration. We recently used Transformation Advisor to help us successfully migrate an app from Tomcat to WebSphere Liberty. We needed to make some changes to the Tomcat app, but TA helped highlight these required changes. Without TA I'm not sure we would have succeeded.
While the licensing is considerably simplified than it used to be, I still find it somewhat confusing. For example, WebSphere Liberty Core has an 8:1 VPC ratio. This is clear when dealing with VMs but it is still not clear to me as to whether we get an 8:1 ratio when running on OpenShift or whether we need to purchase additional OpenShift licenses to support running WebSphere Liberty Core in OpenShift.
Not so much related to IBM Cloud Pak for Applications, but while Transformation Advisor is an indispensable tool to help modernize to the WebSphere Liberty runtime, I wish we could run it against WebSphere Liberty itself. The reason being, we are now using TA as a single repository for our configurations. TA also highlights many potential issues when migrating to Liberty; these issues may also be applicable for apps already running in Liberty, we just don't know it yet.
I give AWS IoT Core's overall usability this rating because it is very easy to use and is enjoyed by all of our staff. The only problem is that it sometimes glitches and it freezes a lot. So overall, the usability of AWS IoT Core is very good, and we will continue to use it.
It covers all the aspects of IoT services required for an IoT company. It supports all the industry-wide protocols for secure data transmission and integrates powerful AL and ML technology for data analytics. For data storage, Amazon S3 is a great solution. Strong tech support and user community. Since it is widely used as compared to other products, there is an abundance of training and learning material on the web.
Azure IoT service provides more or less the same services as compared to AWS IoT core, however the costing of AWS lead us to continued usage of IoT core over Azure IoT services. Also, considering our existing technology stack is on AWS, it was a natural selection for better integration and ease of use.
Comparing IBM Cloud PAK for Applications against alternatives highlights its distinct advantages. Its robust support for hybrid and multi-cloud environments enables unmatched flexibility in application deployment, crucial for businesses seeking to leverage various cloud services. This contrasts with platforms that may limit their focus to a single-cloud approach or offer restricted multi-cloud capabilities.IBM Cloud PAK's seamless integration with AI and data analytics, particularly through IBM Watson, provides powerful tools for developing AI-driven applications. This integration is a key differentiator from competitors that might not offer as comprehensive AI and analytics tools, allowing businesses to easily incorporate advanced technologies into their applications.Furthermore, IBM Cloud PAK for Applications prioritizes ethical AI development and compliance with regulatory standards, aligning with OpenAI’s guidelines. This commitment is essential for organizations that value responsible AI practices and need to adhere to strict privacy and security regulations.The selection of IBM Cloud PAK for Applications was driven by its holistic approach to application development, offering a blend of flexibility, advanced technological integration, and a commitment to ethical standards, making it a superior choice for businesses focused on innovation while adhering to ethical and legal standards.
We have been able to migrate apps away from the expensive WAS-ND to the more cost-effective WAS-base without throwing away our WAS-ND licenses. With a 1:4 ratio of WAS-ND to WAS-base we've been able to we've been able to save in excess of 75% on licensing charges for these apps.
By having a license model based on VPC ratios (1:4:8 - WAS-ND:WAS-base:Liberty core) we've been able to move away from using license pooling resulting in over-allocating (i.e. wasting) CPU cores for each license pool, to using consolidated license pools hosting a combination of WAS-ND, WAS-base and Liberty-core. This has allowed us to reduce our licensing costs accordingly.
