Apigee Edge is an API management platform now owned and offered by Google, since Google acquired Apigee in 2016.
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Red Hat OpenShift
Score 9.2 out of 10
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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.
Few scenarios 1. For viewing API analytics, I think it is best in the market 2. For earning money via API monetization 3. Securing API 4. Onboarding legacy APIs to provide modern REST endpoints
Stateful pods and DBs can be challenging to manage in OpenShifts. Depending on the configuration, lost deployments could result in data loss. The best use case for OpenShifts is any instance where agile and quick deployments are needed. Thanks to the OCP git runner, we can implement new builds across all environments quickly.
One thing is the way how it works with the GitHubs model on an enterprise business, how the hub and spoke topology works. Hub cluster topology works the way how there is a governance model to enforce policies. The R back models, the Red Hat OpenShift virtualization that supports the cube board and developer workspace is one big feature within. So yes, these are all some features I would call out.
Prohibited from using JSON.stringify on Apigee objects (tokens)
Debugging is difficult
Unable to rename or delete policies without bumping revision
Why would anyone give a js policy one name, display name something else, and script a different name?
'Trace' limited to only 20 transactions
UI allows users to add target servers, but users must utilize the api to turn on SSL.
I'm sure there's more, they just aren't coming to mind right now.
Apigee forgets (expires?) your password at random intervals without notice. Every few weeks, or days, sometimes even three times in one day, I'll attempt to login to Apigee and my password will be 'wrong'. I've reset my password and Apigee still claims it's wrong. I've had to reset my password three times before it finally let me log back in.
So I don't know that this is a specific disadvantage for Red Hat OpenShift. It's a challenge for anything that Kubernetes face is. There's an extremely large learning curve associated with it and once you get to the point where you're comfortable with it, it's really not bad. But beating that learning curve is a challenge. I've done a couple presentations on our implementation of Red Hat OpenShift at various conferences and one of the slides I always have in there is a tweet from years ago that said, "I tried to teach somebody Kubernetes once. Now neither of us knows what it is."
I am not the one deciding whether to use apigee or not really. But personally, I would recommend the use of it as developing APIs on it is easy. And as a mediator between backend servers, we could easily modify request and responses in it without touching any backend code while having a centralize gateway to access our backend APIs too.
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
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.
I've not noticed any significant performance impacts with Red Hat OpenShift. I think the development team has put a lot of effort into ensuring that it is performant. And so performance typically is not a major concern for us with Red Hat OpenShift.
Quite hard to get support, at least on the coding side, when we encounter blockers. But general concerns, they would schedule a call to you for them to get a whole picture of your concern. Albeit in my experience, bad really as they haven't replied about the progress, but otherwise seems to have been fixed.
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.
Apigee is the best in the market in terms of API Analytics Apigee is having wonderful Documentation with short videos Security is a major concern and Apigee provides an easily configurable policy to secure API Quota and rate-limit is again very easy to configure on every API basis It provides various policies to transform the response from one form to another form e.g. JSON to XML or XML to JSON
Our developer community is using Red Hat OpenShift for years and they are familiar and comfortable with the product. Red Hat OpenShift UI makes it easier for new developers to adopt without knowing much of Kubernetes. Our platform team feels it’s easy to mange the cluster and upgrades. Other options has more operation overhead and less friendly to developers not have in-depth knowledge of Kubernetes.
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
As a public entity it is hard to say how much ROI we can have. We have yet to create a billing and ROI plan. We are thinking of other ways to create ROI, possibly through data/service barter.
