TrustRadius Insights
Telcos have found Kubernetes to be a valuable tool for deploying and managing their legacy telco applications. By converting these …
Overview
What is Kubernetes?
Kubernetes is an open-source container cluster manager.
Recent Reviews
Reviewer Pros & Cons
Pricing
Entry-level set up fee?
- No setup fee
Offerings
- Free Trial
- Free/Freemium Version
- Premium Consulting/Integration Services
Would you like us to let the vendor know that you want pricing?
3 people also want pricing
Alternatives Pricing
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.
Product Demos
Kubernetes Beginner Tutorial 8 | Step by Step Play with Kubernetes (K8s) Demo
YouTube
Demo: Intro to Rancher container management
YouTube
[ Kube 68 ] Kubernetes RBAC Demo | Creating Users and Roles
YouTube
Kubernetes for the Absolute Beginners - Setup Kubernetes - kubeadm
YouTube
Kubernetes Deployment Tutorial - yaml explained + Demo
YouTube
Product Details
- About
- Tech Details
What is Kubernetes?
Kubernetes is an open-source container cluster manager.
Kubernetes Technical Details
| Operating Systems | Unspecified |
|---|---|
| Mobile Application | No |
Comparisons
Compare with
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!
- Business Problems Solved
- Pros
- Cons
- Recommendations
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
(1-5 of 5)Companies can't remove reviews or game the system. Here's why
April 22, 2022
Kubernetes is the answer but, what was the question?
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.
- Makes sure that the workload remains UP & running by maintaining the desired state.
- Gives a lot of flexibility in choosing the networking, storage, monitoring, etc solutions of your choice.
- The biggest advantage is to upgrade the application with a new version without any downtime.
- Portability of the code is possible up to a great extent.
- Flexibility gives birth to complexity & therefore designing an application on K8s is also complex.
- Writing Yaml manifests manually & then validating them for errors is a pain that should be worked upon with a solution that can write YAMLs & Helm charts in the background with the user designing the application on a GUI-based sketch. Just like they do in OpenStack.
- The overall approach of operations should be shifted from CLI to GUI-based for ease of use.
- Due to a lot of objects & new concepts, the learning curve is really flat i.e. slow.
- Adding GUI-based operations like finding the exact point causing latency OR showing the POD consuming the highest CPU/RAM would be of great help.
- Upgrade without downtime
- Quick scaling
- Redundancy & uptime
- Flexibility to choose the various CNI & CSI options.
- Reduced downtime by more than 50%.
- Increased upgrade frequency by 30%.
- Avoided management escalations by 45%.
As I said earlier also -
- K8s manage the workloads better as compared to OpenStack in terms of reliability, observability & reachability.
- K8s is not limited to only a single networking or storage solution as compared to OpenStack.
- Networking (which is a key concept) is much simpler in K8s as compared to OpenStack.
- It is possible to upgrade your applications without downtime in K8s but in OpenStack, you either have to divert the traffic or face an outage because you have to delete the whole stack & then recreate it.
- K8s manage the workloads better as compared to OpenStack in terms of reliability, observability & reachability.
- K8s is not limited to only a single networking or storage solution as compared to OpenStack.
- Networking (which is a key concept) is much simpler in K8s as compared to OpenStack.
- It is possible to upgrade your applications without downtime in K8s but in OpenStack, you either have to divert the traffic or face an outage because you have to delete the whole stack & then recreate it.
April 20, 2022
Kubernetes - Open-Source container management
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.
- Deploy applications on multiple nodes.
- Store application definitions in source control.
- Abstract away the implementations of storage and networking.
- Kubernetes is very high-maintenance compared to VM deployments in my opinion.
- Some failure scenarios are hard to recover from.
- High effort is needed for upgrading clusters and deployments to new versions of Kubernetes.
- Open Source
- Vendor neutral
- Declarative
- Positive: simpler deployment of new applications.
- Positive: better observability.
- Negative: more frequent maintenance cycles.
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.
- container orchestration
- Horizontal pod scaling
- load balancing
- Routes help in exposing internal traffic
- GUI interface
- Monitoring tools like Prometheus and Grafana
- Horizontal Pod Auto scaling
- Monitoring
- Automatic Rollback and updates
- Storage Orchestration
- Kubernetes support Multi-cloud capability
- Kubernetes has Increased developer productivity
- Kubernetes reduce cloud complexity
- Docker
Kubernetes cluster is cable to manage multiple nodes on on-premises or cloud infrastructure. In Kubernetes, we can easily add new nodes when ever required. We can easily update and rollback our application hosted on Kubernetes with the help of rolling and blue green deployment. we can monitor application using Prometheus and Grafana.
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.
- With high availability, the application has no downtime means always accessible to users.
- Users have a very high response rate from the application means high performance with scalability.
- Backup and restore - Disaster recovery.
- Specifically, the installation process of the k8s cluster on Linux machines such as CentOS has required an experienced person.
- Kubernetes requires a lot to learn for beginners.
- For small applications k8s overkill.
- Horizontal scaling
- Secret data management
- Self-healing container
- Load balancing
- Automatic container scheduling
- Reduce the lot of work for the Operational department.
- Ease and high availability of access applications for the user is a positive impact on the organisation.
- Nomad, by HashiCorp, Amazon Elastic Container Service (Amazon ECS) and Mirantis OpenStack for Kubernetes
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.
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.
- Scaling the application processes/pods up/down based on business needs.
- Managing the pods from a single source.
- Better security along with different layers of security.
- Orchestrating the pods and the available resources in different machines.
- Easier way to update multiple deployments.
- Better way to manage backups.
- Using the available resources effectively and efficiently.
- Scaling up/down applications at the same time keeping the integrity.
- Each environment can be easily duplicated with minimal effort.
- Because of microservices, Kubernetes makes it easy to find the cost of each application easily.
- Like every new technology, initially, it took more resources to educate ourselves but over a period of time, I believe it's going to be worth it.
I didn't have too much experience or exposure to OpenShift but I do remember that in certain areas our organization found Kubernetes to be more useful and met our needs in comparison to OpenShift. Although I can't compare, I think it's easier to customize Kubernetes because of CRDs and so than OpenShift. Hence, the management decided to go with Kubernetes.