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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
We use Kubernetes in a big bare metal cluster, and we are here at the Red Hat summit to talk about a migration directly to OpenShift to create an hybrid infrastructure that can help us to achieve a more resilient services for our clients, actually we got a lot of problem with the limits of k8s, especially with the calico service middleware, when our transactions are with high demand calico gets crazy and reset connections, for example, also we got and issue with the middleware limits, we are running 160 pods for worker, and we got 6 mega hardware workers, that we cant use it fully hardware for the middleware limits, thats the reason we are leaving k8s and working in a migration to OpenShift en AWS
Asad Khan | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Incentivized
I deploy & manage telco workloads on top of Kubernetes. These are called CNFs (Containerized network functions) which are legacy telco applications converted into K8s objects & connected via a networking & storage solution of your choice, managed by K8s. Just like every other industry, Telcos are no exception converting all their legacy applications sitting on proprietary hardware & boxes to COTS hardware & software architectures adapted toward cloud technologies. Kubernetes helps us to manage the CNFs efficiently & gives a better uptime as compared to VM-based architecture. I see the scope of flexibility & easy scaling in K8s as compared to any other technology.
Score 7 out of 10
Vetted Review
Verified User
Incentivized
We have multiple Kubernetes clusters that deploy mainly web-based applications. Containers/Kubernetes. Helm has become a widely used platform for deploying applications and many applications offer this as their preferred standard deployment.
April 07, 2022

Kubernetes Review

Score 10 out of 10
Vetted Review
Verified User
Currently we are using Kubernetes in our project to orchestrate the containers. We are using it for our banking client where some point of time user transection get increased while they try to use banking applications. whenever load get increase Kubernetes spin new pods in the cluster using replicaset to handle the load of user transections.
Score 10 out of 10
Vetted Review
Verified User
Incentivized
On the foundation, Kubernetes manages containers such as docker containers or from other technology and it helps you manage containerization applications that are made of hundreds of containers in different environments such as physical machines, virtual machines or cloud machines, or even hybrid deployment environments. As in my specific scenario, we install a Kubernetes cluster on CentOS 8 with one master node and two worker nodes for orchestration of our existing applications containers.
Score 9 out of 10
Vetted Review
Verified User
Incentivized
We have moved almost all the stateless services to Kubernetes so managing the umpty number of services can be so easy. Kubernetes helps us in scaling the services up or down based on business needs. It helps us in upgrading the bunch of clusters with zero to minimal downtime based on the applications. We also moved stateful database services (mostly NoSQL) to Kubernetes to manage a single place and to keep the cost down.
Score 10 out of 10
Vetted Review
Verified User
Incentivized
Kubernetes was used in my organization by a specific department. The business problem it attempted to address was resource allocation and scheduling. Creating and tearing down containers at will dependant on resource demand. These resources provided API services to the front-end website.
Score 10 out of 10
Vetted Review
Verified User
Incentivized
I am working in a company that is currently working on moving everything to the cloud. We want to leverage as many as cloud managed services as we can. Kubernetes came to our sight when we thinking of containerizing our on-premises servers for fast and easy deployment to cloud. We are still experimenting with Kubernetes but based on what we've got now, it works perfectly for our department.
Nitin Pasumarthy | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Incentivized
Kubernetes is currently used as an experimental product for building and managing Machine Learning pipelines (ML) at LinkedIn. It is currently used by very few teams to access GPU clusters. Kubernetes makes it easy to deploy training and monitoring workloads on clusters really simple with a robust CLI. It has a very small learning curve as is mainly driven by config files.
Score 9 out of 10
Vetted Review
Verified User
Incentivized
We use Kubernetes at a department level and across the whole organization. At a department level, we use Kubernetes to manage our developer environments. These environments are made up of 30 containers containing compilers, single sign-on managers, and various other linting tools. We selected Kubernetes to manage these containers because it's quick to deploy and immensely customizable. Across the organization, we use Kubernetes to manage our customer environments. These environments are made up of ~8 containers running various managed web services. Kubernetes was selected for this because it is open source, scalable, and reliable. This allows us to cost-effectively deploy a solution and be confident that it will perform as needed.
Score 9 out of 10
Vetted Review
Verified User
Incentivized
We as an organization have very diverse hardware infrastructure. We have our own data centers and multiple cloud providers. The technologies we use are also again very diverse, we use VMs, containers as well as server-less technologies. When it comes to container technologies we are using Docker and orchestrate it with Kubernetes. In most of the cases, each Business unit have their own Kubernetes clusters for application hosting, and categorize it separately for preproduction and production environments.
October 05, 2017

Worth the Learning Curve

Adam Eivy | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Incentivized
Kubernetes has massively simplified and sped up the management of microservices deployed within my team. If we need to spin up a new service, even if it doesn't relate to the other services in the cluster, we can simply deploy the docker container to the cluster, complete with service discovery, configuration management, autoscale and fault tolerance. This is invaluable.
April 14, 2017

Poor man's review

Manish Rajkarnikar | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Incentivized
  • Whole organization.
  • Used as a PaaS.
  • Used to deploy mostly stateless and cloud-ready apps.
  • Solves the problem of immutable infrastructure. No need for Chef, Puppet or Ansible.
  • Low learning curve for users.
  • Apps start on failure, can auto scale; burst into cloud;
  • Infra is cloud agnostic; works in an in-house datacenter too. Gives leverage to mangement for negotiations with cloud providers
Jake Luby | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Incentivized
It is being used across many departments, with more being added every day. My team was one of the first teams to use Kubernetes 8 for our microservice deployments. It addresses the problem of HDHA applications, agile development, rolling deployments with no downtime. We are also utilizing its service discovery with spring boot admin to provide node level details for all nodes in the cluster.
David Long, SPA | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Incentivized
For managing containers across a cluster of servers, I won't use anything but Kubernetes. It makes scheduling containers extremely easy. Bundling applications that we develop into Docker images has made deployment a really simple process for us. It's made it so that we don't have to think too much about the clash that comes of running multiple applications on the same set of hosts. It's also helped our engineers to write idempotent applications better because we scale up and down often.
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