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Kubernetes

Kubernetes

Overview

What is Kubernetes?

Kubernetes is an open-source container cluster manager.

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Recent Reviews

TrustRadius Insights

Telcos have found Kubernetes to be a valuable tool for deploying and managing their legacy telco applications. By converting these …
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Kubernetes Review

10 out of 10
April 07, 2022
Currently we are using Kubernetes in our project to orchestrate the containers. We are using it for our banking client where some point of …
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Reviewer Pros & Cons

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Pricing

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What is Kubernetes?

Kubernetes is an open-source container cluster manager.

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What is Vultr?

Vultr is an independent cloud computing platform on a mission to provide businesses and developers around the world with unrivaled ease of use, price-to-performance, and global reach.

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Product Demos

Kubernetes Beginner Tutorial 8 | Step by Step Play with Kubernetes (K8s) Demo

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Demo: Intro to Rancher container management

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[ Kube 68 ] Kubernetes RBAC Demo | Creating Users and Roles

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Kubernetes for the Absolute Beginners - Setup Kubernetes - kubeadm

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Kubernetes Deployment Tutorial - yaml explained + Demo

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Product Details

What is Kubernetes?

Kubernetes is an open-source container cluster manager.

Kubernetes Technical Details

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Comparisons

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Reviews and Ratings

(164)

Community Insights

TrustRadius Insights are summaries of user sentiment data from TrustRadius reviews and, when necessary, 3rd-party data sources. Have feedback on this content? Let us know!

Telcos have found Kubernetes to be a valuable tool for deploying and managing their legacy telco applications. By converting these applications into Kubernetes objects, telcos have been able to improve uptime and scalability. The simplicity and speed of Kubernetes make it ideal for managing microservices, enabling easy deployment, service discovery, configuration management, autoscaling, and fault tolerance. This has been particularly useful for organizations like LinkedIn, which has used Kubernetes as an experimental product for building and managing Machine Learning pipelines and accessing GPU clusters. Additionally, Kubernetes is widely adopted as a PaaS solution throughout organizations, solving the problem of immutable infrastructure and providing a low learning curve for users. It offers scalability and reliability, making it suitable for managing developer and customer environments at both departmental and organizational levels. Moreover, Kubernetes excels in orchestration across diverse hardware infrastructures, including data centers and multiple cloud providers. It effectively manages containerization applications consisting of hundreds of containers deployed on physical machines, virtual machines, or cloud machines. This addresses resource allocation and scheduling challenges by creating and tearing down containers based on resource demand. Furthermore, Kubernetes serves as a powerful tool for containerizing on-premises servers for seamless deployment to the cloud. Its versatility and standard deployment through Helm have made it the preferred microservice container orchestration platform for deploying web-based applications. Overall, Kubernetes offers a wide range of use cases that enhance the deployment, management, and scalability of various applications in different environments.

Flexibility in Customization: Many reviewers have praised Kubernetes for its flexibility in choosing networking, storage, monitoring, and other solutions, allowing them to customize their workload according to their needs. This feature has been appreciated by a significant number of users.

Seamless Upgrades: Users have mentioned that Kubernetes provides the ability to upgrade applications to a new version without any downtime, making it seamless and efficient. Several reviewers have highlighted this as a valuable feature of the platform.

High Portability: The high level of portability offered by Kubernetes has been positively acknowledged by many users. They appreciate being able to move their applications to different environments easily.

Complex Application Design: Several users have found designing applications on Kubernetes to be complex and time-consuming, especially when manually writing YAML manifests and validating them for errors.

Steep Learning Curve: Many reviewers have mentioned that the learning curve for Kubernetes is slow due to a large number of objects and new concepts. They suggest adding GUI-based operations to help with tasks like finding latency points or identifying resource-consuming pods.

Difficulty in Troubleshooting and Documentation: Users have encountered challenges in understanding and troubleshooting Kubernetes, particularly for beginners. Some users have also found it difficult to find relevant information as the documentation is scattered. They suggest better documentation and versioning for easier access to relevant information.

Based on user reviews, users commonly recommend the following for Kubernetes:

Consider using Kubernetes for companies with a large microservice environment. Users believe that Kubernetes is helpful for managing complex applications and recommend it specifically for organizations with a significant number of microservices.

Acquire a basic understanding and knowledge of Kubernetes before using it. Users suggest that having some familiarity with Kubernetes before implementation is beneficial in order to fully utilize its features and capabilities.

Utilize specialized support and platforms like Rancher when deploying Kubernetes. Users recommend seeking assistance from specialized companies that provide support for Kubernetes, as well as using platforms like Rancher in conjunction with Kubernetes.

Overall, users emphasize the importance of evaluating specific requirements and capabilities before choosing Kubernetes as the container management solution, acquiring knowledge beforehand, and leveraging external support to enhance the deployment experience.

Reviews

(1-16 of 16)
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Score 9 out of 10
Vetted Review
Verified User
i think that Kubernetes is well suited in multiple deploys schemas where you don't need full access to the hypervisor, for other instances is better to use a virtualization schema, I think that today Kubernetes its a little bit green to move all traditional infrastructure, but for infrastructure oriented to microservices is better than swarm, because you can find better resources online and better support of the community, also works great within the limits
Asad Khan | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Incentivized
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.
Score 7 out of 10
Vetted Review
Verified User
Incentivized
Kubernetes is well-suited for deploying stateless, web-based applications. We have had mixed results with deploying databases on Kubernetes, and suspect it has a lot to do with the characteristics of the underlying storage provider. Lastly, Kubernetes is not well-suited for non-HTTP workloads and those sensitive to certain IPs, e.g. SMTP gateways.
April 07, 2022

Kubernetes Review

Score 10 out of 10
Vetted Review
Verified User
Kubernetes really required where we expected user load fluctuate. Kubernetes handles it very well by spin new pods of same application when load get high and terminate pods when load get reduce. it do all these thing without any manual intervention. We just need to define the HPA to perform it. we can easily run it on clouds.
Score 10 out of 10
Vetted Review
Verified User
Incentivized
Along with all the best features and support by k8s, the automatic container scheduling to worker nodes and also self-healing containers which is what I like the most. On the other side, when I was installing the k8s cluster on CentOS 8, it was quite difficult for me, but never mind it is working as we expected and it is a one-time effort. Especially, in my case, there are more than 7 application containers required to run and communicate with each other, so for us, Kubernetes is an optimal solution.
Score 9 out of 10
Vetted Review
Verified User
Incentivized
Kubernetes as such makes our life easy in terms of deploying, orchestrating, and managing stateless and stateful services/pods from a single place along with security. We use k9s which makes it easier to manage Kubernetes because of the simple but effective GUI it provides. When it comes to database/stateful services we need to be more cautious when it comes to managing storage. Also, unless tested properly Kubernetes needs some more tweaking when it comes to hosting RDBMS databases.
Score 10 out of 10
Vetted Review
Verified User
Incentivized
Any sort of stateless service that is under heavy utilization or demand is a great candidate for containers in general and therefore kubernetes. Kubernetes should not be implemented in a specific department or for specific purposes. It is a general solution to a large problem and should be put to use accordingly.
Score 10 out of 10
Vetted Review
Verified User
Incentivized
If your company is 1) looking into moving to cloud, 2) thinking of designing a CI/CD pipeline, and 3) comfortable with taking the time and effort to deploy clusters, then Kubernetes is definitely worth the resources. It will bring much more benefits with almost no tradeoffs. But for small size companies who have few servers, Kubernetes might not be the best choice.
Nitin Pasumarthy | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Incentivized
  1. Kubernetes is very easy to get started and to set up
  2. It has various deployment options, file systems and service types making it suitable for several use cases besides Machine Learning
  3. Extends the functionality of Docker's rich functionality making it a deadly combination
  4. The rough edges in file system, utilization and resource management should be fixed to be adopted as a standard in a company
  5. Its extremely vast Python library makes it easy to build services on top of kubernetes. However the API is quite complex and documentation is quite poor
Score 9 out of 10
Vetted Review
Verified User
Incentivized
Kubernetes is well suited for environments where products are hosted on AWS or another managed server, and where multiple software products need to all work together. When working with a managed server Kubernetes gives us a single point that allows us to control the entire environment. This has proved to be immensely helpful when working on large systems because it keeps track of nodes at no extra cost.

Kubernetes is less suited for environments where all development is done locally, the cost of getting all the nodes running often outweighs the potential benefits when a developer can access all the containers locally.
Score 9 out of 10
Vetted Review
Verified User
Incentivized
Kubernetes is a container-centric platform which can be run on in house data centers as well as public cloud. It is not only a platform run Docker containers, but also a very efficient network and application orchestrator. It has very powerful robust and extensible APIs. It is mostly declarative.
October 05, 2017

Worth the Learning Curve

Adam Eivy | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Incentivized
If you are managing microservices, need service-discovery, autoscale and config management, kubernetes provides everything you need right out of the gate with simple YAML config files, allowing you to store your infrastructure as code within your repos. Kubernetes works best with non-homogenous loads, so putting multiple types of services into the cluster that utilize different components (memory, CPU, network) will provide better results than a single service that takes up one type of resource.
Jake Luby | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Incentivized
It is well suited for stateless microservices (single APIs that perform a single function, message consumers/producers, single session UIs, etc.). It is also great for teams that are deploying a lot since they are fast and rolling with no pods being down. It is not well suited for things that require a state or any kind of persistence layer in the app or cluster.
David Long, SPA | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Incentivized
Kubernetes handles web applications wrapped into containers really well. Essentially, if it's something that you can containerize, Kubernetes will run it well. You can allocate resources towards specific containers if you have some that need more resources than others. Putting a service in front of containers makes it easy to communicate between pods of containers or the outside world.
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