Nomad, from HashiCorp, is presented as a simple, flexible, and production-grade workload orchestrator that enables organizations to deploy, manage, and scale any application, containerized, legacy or batch jobs, across multiple regions, on private and public clouds. Nomad's workload support enables an organization to run containerized, non containerized, and batch applications through a single workflow. Nomad is available open source, or via a supported enterprise plan.
N/A
IBM Cloud Kubernetes Service
Score 7.4 out of 10
Enterprise companies (1,001+ employees)
IBM Cloud Kubernetes Service is a
managed Kubernetes offering, delivering user tools and built-in security for rapid delivery of applications
that users can bind to cloud services related to IBM Watson®, IoT, DevOps
and data analytics. As a certified K8s provider, IBM Cloud Kubernetes
Service provides intelligent scheduling, self-healing, horizontal
scaling, service discovery and load balancing, automated rollouts and
rollbacks, and secret and configuration management. The Kubernetes…
N/A
Pricing
HashiCorp Nomad
IBM Cloud Kubernetes Service
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
HashiCorp Nomad
IBM Cloud Kubernetes Service
Free Trial
No
No
Free/Freemium Version
Yes
Yes
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
Optional
Additional Details
—
—
More Pricing Information
Community Pulse
HashiCorp Nomad
IBM Cloud Kubernetes Service
Considered Both Products
HashiCorp Nomad
Verified User
Anonymous
Chose HashiCorp Nomad
Nomad's primary competitor is Kubernetes, specifically its scheduling component. Kubernetes is a much more complete system that will handle more things than job scheduling, including service discovery, secrets management, and service routing. There also exists a much larger …
I have earlier used various services, such as Kubernetes and Google Cloud Run. Still, IBM Cloud Kubernetes Service offers more convenience and a larger set of functions and features are available in Kubernetes. Google Cloud Run is much closer to a server less approach to …
Both services are very similar and work in a very similar way, both fulfilling their purpose well. IBM Cloud Kubernetes Service was chosen to test how a different platform from the traditional one would work during the execution of the project and whether it would perform well. …
It is more focous on enterprise security and hybrid cloud support, It is also openshift to enhance from anywhere, tight integration with other tool, It's cloud features so that we can easily to use from anywhere and it is easily to integrate with ibm other tool so that multiple …
Many solutions and vendors are offering the service to deploy a solution for based Kubernetes cloud, but we have selected IBM Cloud Kubernetes Service for the optimization, high availability, DRP process, reduced downtimes, support, documentation, and the easy way to deploy …
IBM Kubernetes Service and Azure Kubernetes Service (AKS) are two popular managed Kubernetes offerings that allow organizations to deploy, manage and scale their containerized applications.
IBM Cloud Kubernetes Service is a scalable solution, but compared to AWS and Mirantis it is not auto-scaling, and The technical support from IBM is kind of poor.
Well, as we were in a state to compulsory implement this service, but then it is very suited for deployment of a service that has higher fault tolerance. And maintaining the lifecycle of custom made resources. And the ability to integrate other services also
The agility of Kubernetes allows it to be deployed quickly with short iterations. Operability makes it work well over time, not just at [the] deployment phase and the application itself is able to expose a health check in order for the infrastructure it is running on to query …
All of the container management systems we evaluated are popular and each has its unique features and benefits. Kubernetes is the solution we found with containerization, agile development, and continuous delivery which would shorten the time it took to get a project up and …
With the scalability, the management, the coordination, IBM Cloud Kubernetes Service really empowers the whole IT team and gives the company more time back than we had before. It is a system that has the capability to manage where workloads are being distributed out and [do] …
Kubernetes was original formed by Google. We had a lot of compute in Google Cloud Platform and used to use their managed Kubernetes service Google Kubernetes Engine (GKE) and it performed quite well. I think both products are solid, but I lean toward GKE. However, I would opt …
Directing administrations, similar to API entryways, constrained you to do everything automatically through config records. I would have favored a GUI for minor design changes. I think the planned maxim was that you could push configs from versional sources, while as yet having …
We mainly selected [IBM Cloud Kubernetes Service] because IBM fabric blockchain service is mostly compatible with it. To have all the infrastructure in a single cloud to get the best output we selected the [IBM Cloud Kubernetes Service].
Routing services, like API gateways, forced you to do everything programmatically through config files. I would have preferred a GUI for minor configuration changes. I think the intended idiom was that you could push configs from versional sources, while still having a bit of …
I used also Kubernetes on-premise installation. It permits you to install a custom Kubernetes cluster in your physical machines. The advantages are clearly the complete access to the machines via ssh and the possibility of customization. In the cons, the costs are really high …
Nomad is well suited for organizations who wish to tackle the problem of cloud computing with as little opinion as possible. Where competing tools like Kubernetes limit the concept of "batteries included," Nomad relies on engineers understanding the missing components and filling them in as necessary. The benefit of Nomad is the ability to build a system out of small pieces with the cost of having more complexity at a system level compared to alternatives.
IBM Cloud Kubernetes Service is ideal for deploying modern applications on a microservices architecture -- where easy scaling and ability to update are important. IBM Cloud Kubernetes Service also handles automated deployments and load balancing very well, particularly if you're already working in the IBM Cloud ecosystem. There are applications less suited to IBM Cloud Kubernetes Service -- such as very small applications, where managing an IBM Cloud Kubernetes Service cluster would be overkill. Also, users not familiar with container organization might find IBM Cloud Kubernetes Service to be a challenge to manage effectively.
IBM has a strong focus on serverless and Kubernetes. This shows in the platform. Deploying containers to Kubernetes was very easy.
Deploying a Kubernetes cluster through the GUI is very easy and quick. On top of that, IBM Cloud offers a single node cluster for Free.
Container Registry is a very good product for managing container images. Integration with Kubernetes was seemless.
Portability. To transition from Google Cloud Kubernetes to IBM Cloud Kubernetes took almost no effort. We mostly use the CLI and the standard tools such as kubectl were present.
Nomad only handles one part of a full platform. Expertise and vision are required in implementing an entire system that is functional enough for an organization to rely on. This includes other tools to handle things like secrets, service discovery, network routing, etc.
Nomad is delayed in some modern functionality, like features for service-mesh and open tracing. These features are on the tool's roadmap, but there's currently no native support. These paradigms can be established still, but require more expertise outside of Nomad itself.
Nomad is not the leading tool for this space, and as such risks being left behind by tools with much greater support, such as Kubernetes.
I constantly get this error even when everything is well configured prefect.exceptions.AuthorizationError: [{'path': ['auth_info'], 'message': 'AuthenticationError: Forbidden', 'extensions': {'code': 'UNAUTHENTICATED'}}]
Then sometimes the error disapear without changine anything, happened twice to me. Should there be an issue with the authentication service? Please let's improve or let users know why this may be happening.
Improve the UX in the browse console when removing many images at once
UX on the process of installing KeyCloack operator
We have our application running on a CentOS compartment on IBM Cloud Kubernetes Service. We have been utilizing the help since IBM Cloud initially dispatched. We liked the adaptability and versatility that IBM Cloud Kubernetes Service give us. Since we are tiny, the Kubernetes administration is just utilized at present inside my venture bunch.
We actually haven't had any real problems in our clusters recently and the results we have gotten from adopting IBM Cloud Kubernetes Service have been beyond even our greatest expectations. The community has helped optimize the use of the system and make it relatively simpler to use.
The self-guided support was solid, and there are plenty of online videos to guide first time users, but I think one area of improvement is a faster way to transfer a large quantity of files from our local machine to the cloud for storage (Aspera)
Online training is really an important resource for using these tools. IBM's help center is rich in useful information and tips. Also, external guides and tutorials are available (e.g. on youtube), but I followed only IBM ones and I had no difficulties.
Ease of use. Very intuitive. We have been looking for a product that allows us to orchestrate our docker containers in a way where it allows us to effectively scale our applications to production. It also provides us a way of monitoring all our infrastructure in a very clear concise way.
Nomad's primary competitor is Kubernetes, specifically its scheduling component. Kubernetes is a much more complete system that will handle more things than job scheduling, including service discovery, secrets management, and service routing. There also exists a much larger community support for Kubernetes vs Nomad. One might say Kubernetes is the safer choice between the two. Kubernetes is the complete "operating system" for cloud computing, but with it includes complexities that are "Kubernetes" specific. The decision really comes down to a mindset of monolith vs components. With Kubernetes, I would argue you choose the entire system as a whole. With Nomad, you design your system piece by piece. There is no wrong answer.
I have earlier used various services, such as Kubernetes and Google Cloud Run. Still, IBM Cloud Kubernetes Service offers more convenience and a larger set of functions and features are available in Kubernetes. Google Cloud Run is much closer to a server less approach to deployment, although it gives slightly less flexibility in terms of configuration than IBM Cloud Kubernetes Service.
IBM's CKS does not offers automatic autoscaling nor vertical scaling (automatic). Other services like Google Kubernetes Engine scales up and down very well
Nomad has allowed our organization to deploy quicker and more frequently with a lower failure rate.
Nomad has brought in consistency from an operations perspective.
Nomad's performance allows us to scale infinitely while providing functionality that reduces mean time to repair (canary deploys, versioning, rollbacks, etc).
IKS can provide around 30% savings when it comes to operational costs since Kubernetes is designed to run applications in most machines in the most efficient manner possible.
Managed Kubernetes can save a company time by 45% since Managed Kubernetes usually is seamlessly updated, without any interruptions with the workload. IKS fall into this benefit.
We heard people had saved in maintenance downtimes when it comes to Kubernetes by a factor of 10 so IKS can contribute to more flexible and distributed services with virtually no downtime.