Kubernetes is an open-source container cluster manager.
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OVHcloud Public Cloud
Score 8.0 out of 10
N/A
OVHcloud Public Cloud offers users a large number of cloud solutions that are billed on a pay-as-you-go basis. OVH states their infrastructure is set up in a simple way to enable businesses to harness the flexibility of on-demand resources to scale up from small projects to large-scale deployments.
$0.05
per hour
Pricing
Kubernetes
OVHcloud Public Cloud
Editions & Modules
No answers on this topic
Discovery
$0.01
Hour
General Purpose
$0.08
Hour
Compute Optimized
$0.12
Hour
Memory Optimized
$0.12
Hour
Offerings
Pricing Offerings
Kubernetes
OVHcloud Public Cloud
Free Trial
No
No
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
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Exact pricing depends on operating system (Windows/Linux), memory and storage size and network speed.
More Pricing Information
Community Pulse
Kubernetes
OVHcloud Public Cloud
Features
Kubernetes
OVHcloud Public Cloud
Container Management
Comparison of Container Management features of Product A and Product B
Kubernetes
9.0
4 Ratings
10% above category average
OVHcloud Public Cloud
-
Ratings
Security and Isolation
9.14 Ratings
00 Ratings
Container Orchestration
9.74 Ratings
00 Ratings
Cluster Management
9.74 Ratings
00 Ratings
Storage Management
8.14 Ratings
00 Ratings
Resource Allocation and Optimization
8.44 Ratings
00 Ratings
Discovery Tools
9.14 Ratings
00 Ratings
Update Rollouts and Rollbacks
9.14 Ratings
00 Ratings
Self-Healing and Recovery
9.13 Ratings
00 Ratings
Analytics, Monitoring, and Logging
8.84 Ratings
00 Ratings
Infrastructure-as-a-Service (IaaS)
Comparison of Infrastructure-as-a-Service (IaaS) features of Product A and Product B
K8s should be avoided - If your application works well without being converted into microservices-based architecture & fits correctly in a VM, needs less scaling, have a fixed traffic pattern then it is better to keep away from Kubernetes. Otherwise, the operational challenges & technical expertise will add a lot to the OPEX. Also, if you're the one who thinks that containers consume fewer resources as compared to VMs then this is not true. As soon as you convert your application to a microservice-based architecture, a lot of components will add up, shooting your resource consumption even higher than VMs so, please beware. Kubernetes is a good choice - When the application needs quick scaling, is already in microservice-based architecture, has no fixed traffic pattern, most of the employees already have desired skills.
For demo uploads or for production uploads of companies from different sectors looking for a "general computing" cloud solution, I think that OVH can be a good provider. However, for more delicate or advanced loads or for specific solutions of, for example, AI, OVH has a wide margin for improvement.
Local development, Kubernetes does tend to be a bit complicated and unnecessary in environments where all development is done locally.
The need for add-ons, Helm is almost required when running Kubernetes. This brings a whole new tool to manage and learn before a developer can really start to use Kubernetes effectively.
Finicy configmap schemes. Kubernetes configmaps often have environment breaking hangups. The fail safes surrounding configmaps are sadly lacking.
The Kubernetes is going to be highly likely renewed as the technologies that will be placed on top of it are long term as of planning. There shouldn't be any last minute changes in the adoption and I do not anticipate sudden change of the core underlying technology. It is just that the slow process of technology adoption that makes it hard to switch to something else.
It is an eminently usable platform. However, its popularity is overshadowed by its complexity. To properly leverage the capabilities and possibilities of Kubernetes as a platform, you need to have excellent understanding of your use case, even better understanding of whether you even need Kubernetes, and if yes - be ready to invest in good engineering support for the platform itself
Most of the required features for any orchestration tool or framework, which is provided by Kubernetes. After understanding all modules and features of the K8S, it is the best fit for us as compared with others out there.
Most notably OVHcloud [Public Cloud] has dedicated servers which are a different breed of product than Linode's flagship VPS servers, the unfortunate fact of the matter is that OVHcloud [Public Cloud] can provide a fully-dedicated server at a lower price point than Linode's virtual server. Even worse than that is that with a dedicated server from [OVHcloud Public Cloud] there is zero chance of "cpu theft" (aka, noisy neighbor) which is a very real problem at Linode (we would require multiple migrations every year for servers hosted at Linode that were experiencing cpu theft). In addition to the improvement in quality for network/hardware at OVHcloud [Public Cloud] with their dedicated server offering, their VPS servers are also highly competitive against Linode's VPS servers - in the 2 years we've used OVHcloud [Public Cloud] VPS's we've had zero downtime associated with OVH actions such as host-node reboots or cpu theft or host node upgrades, a stark difference compared to Linode which regularly experiences those types of downtimes and many more on a very regular basis.