IBM API Connect is a scalable API solution that helps organizations implement a robust API strategy by creating, exposing, managing and monetizing an entire API ecosystem across multiple clouds. As businesses embrace their digital transformation journey, APIs become critical to unlock the value of business data and assets. With increasing adoption of APIs, consistency and governance are needed across the enterprise. API Connect aims to help businesses…
$83
per month
Red Hat OpenShift
Score 9.2 out of 10
N/A
OpenShift is Red Hat's Cloud Computing Platform as a Service (PaaS) offering. OpenShift is an application platform in the cloud where application developers and teams can build, test, deploy, and run their applications.
We utilized the Thycotic Secret Service to manage all our application secrets, resulting in seamless integration with our applications. We developed all the applications using Red Hat Fuse (currently migrated to Quarkus). We used the built-in Kali Linux support of OpenShift to …
Based on our experience, IBM API Connect clearly excels in large enterprises navigating complex B2B ecosystems, especially within the Fintech and Banking sectors. Its capabilities are particularly valuable for achieving Open Banking compliance, facilitating the monetization of data and services, and seamlessly operating in hybrid cloud environments. However, it's crucial to understand that IBM API Connect primarily functions as an API management and orchestration tool. This means that backend integrations with providers like databases are best handled by dedicated integration middleware, such as IBM App Connect, allowing API Connect to then securely and efficiently expose those functionalities to external entities.
Red Hat OpenShift, despite its complexity and overhead, remains the most complete and enterprise-ready Kubernetes platform available. It excels in research projects like ours, where we need robust CI/CD, GPU scheduling, and tight integration with tools like Jupyter, OpenDataHub, and Quiskit. Its security, scalability, and operator ecosystem make it ideal for experimental and production-grade AI workloads. However, for simpler general hosting tasks—such as serving static websites or lightweight backend services—we find traditional VMs, Docker, or LXD more practical and resource-efficient. Red Hat OpenShift shines in complex, container-native workflows, but can be overkill for basic infrastructure needs.
We had a few microservices that dealt with notifications and alerts. We used OpenShift to deploy these microservices, which handle and deliver notifications using publish-subscribe models.
We had to expose an API to consumers via MTLS, which was implemented using Server secret integration in OpenShift. We were then able to deploy the APIs on OpenShift with API security.
We integrated Splunk with OpenShift to view the logs of our applications and gain real-time insights into usage, as well as provide high availability.
OpenShift virtualization has a little room for improvement. I'm coming from it as a Rev customer. There's some things in that OpenShift virtualization that were in Rev that I would like to see in OpenShift virtualization. I realized that they're chasing the VMware crowd and that's fine, but from us old Rev customers, we'd like to see some things that was in Rev around via migration and things of that nature that could be in OpenShift virtualization, I hope is being planned to be put in.
OpenShift is really easy of use through its management console. OpenShift gives a very large flexibility through many inbuilt functionalities, all gathered in the same place (it's a very convenient tool to learn DevOps technics hands on) OpenShift is an ideal integrated development / deployment platform for containers
I can honestly say that the availability of the platform has been incredible, with almost no disruptions during the two years of the implementation. Availability is provided through the distributed architecture that may be deployed in multiple zones. We have had almost no cases of unplanned outages, and most maintenance operations were done during planned downtimes.
The virtualization part takes some getting used to it you are coming from a more traditional hypervisor. Customization options are not intuitive to these users. The process should be more clear. Perhaps a guide to Openshift Virtualization for users of RHV, VMware, etc. would ease this transition into the new platform
Redhat openshift is generally reliable and available platform, it ensures high availability for most the situations. in fact the product where we put openshift in a box, we ensure that the availability is also happening at node and network level and also at storage level, so some of the factors that are outside of Openshift realm are also working in HA manner.
Overall, this platform is beneficial. The only downsides we have encountered have been with pods that occasionally hang. This results in resources being dedicated to dead or zombie pods. Over time, these wasted resources occasionally cause us issues, and we have had difficulty monitoring these pods. However, this issue does not overshadow the benefits we get from Openshift.
Every time we need to get support all the Red Hat team move forward looking to solve the problem. Sometimes this was not easy and requires the scalation to product team, and we always get a response. Most of the minor issues were solved with the information from access.redhat.com
I was not involved in the in person training, so i can not answer this question, but the team in my org worked directly with Openshift and able to get the in person training done easily, i did not hear problem or complain in this space, so i hope things happen seamlessly without any issue.
We went thru the training material on RH webesite, i think its very descriptive and the handson lab sesssions are very useful. It would be good to create more short duration videos covering one single aspect of openshift, this wll keep the interest and also it breaks down the complexity to reasonable chunks.
IBM API Connect and Apigee are both robust API management platforms. IBM API Connect was selected for its strong integration capabilities, hybrid cloud deployment options, and comprehensive analytics. It aligns well with organizations seeking flexibility and control over their API ecosystems, especially when dealing with complex integration scenarios across diverse environments.
The Tanzu Platform seemed overly complicated, and the frequent changes to the portfolio as well as the messaging made us uneasy. We also decided it would not be wise to tie our application platform to a specific infrastructure provider, as Tanzu cannot be deployed on anything other than vSphere. SUSE Rancher seemed good overall, but ultimately felt closer to a DIY approach versus the comprehensive package that Red Hat OpenShift provides.
It's easy to understand what are being billed and what's included in each type of subscription. Same with the support (Std or Premium) you know exactly what to expect when you need to use it. The "core" unit approach on the subscription made really simple to scale and carry the workloads from one site to another.
This is a great platform to deployment container applications designed for multiple use cases. Its reasonably scalable platform, that can host multiple instances of applications, which can seamlessly handle the node and pod failure, if they are configured properly. There should be some scalability best practices guide would be very useful
Our company benefited from IBM API Connect's assistance in establishing cooperation with our outside providers and efficiently managing the API. As a result, we were able to expand our vendor ecosystem.
Additionally, creating APIs and implementing them on the goods was not too difficult. Additionally, we were able to ensure that only appropriate people could publish the APIs following evaluation by using role-based access control.
Our teams were able to reuse and share departmental APIs and services with each other thanks to the simple, self-service developer site.
All of the above. Red Hat OpenShift going into a developer-type setting can be stood up very quickly. There's a very short period to have developers onboard to it and they're able to become productive much faster than a grow your own type solution.
