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Telcos have found Kubernetes to be a valuable tool for deploying and managing their legacy telco applications. By converting these …
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What is Kubernetes?
Kubernetes is an open-source container cluster manager.
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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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What is Kubernetes?
Kubernetes is an open-source container cluster manager.
Kubernetes Technical Details
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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!
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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
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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.
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.
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.
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.
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.
- Resource allocation and scheduling.
- Managing container instances and run-files.
- Allowing for infrastructure as code.
- Usability and user friendliness.
- There is no front end and anything attempting to provide a self-service model must be created currently.
- It uses pretty new technologies so there is a relatively steep learning curve.
February 04, 2019
Kubernetes, a good cluster management system to place bets on
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.
- Complex cluster management can be done with simple commands with strong authentication and authorization schemes
- Exhaustive documentation and open community smoothens the learning process
- As a user a few concepts like pod, deployment and service are sufficient to go a long way
- We had several problems with its NFS, which is responsible for syncing the code across the cluster
- On several instances the pods go into UNKNOWN state in which case restarting the entire node is the only solution
- As a user of the existing setup given to me, I wasn't able to allocate only some CPU cores on a single host. It was either all or zero making cluster utilization sub-optimal
Kubernetes has become the microservice container orchestration platform of choice. All our software deployed into Kubernetes - including public websites.
- Scales extremely well
- Handles proper rolling updates of microservices
- Makes it super easy to establish a proper CI/CD pipeline
- Makes it easy for developers to adopt and therefore use
- Could improve user access. Currently uses RBAC - but depending on your implementation (i.e. Amazon EKS) - setting up permissions and adding users to the cluster that are to use the cluster only is sometimes challenging.
- Security can always be improved
- Hooks for identity management; there are open source projects (i.e. Dex) - would be nice to see these adopted to the mainline
- UI Dashboard needs some major improvments
July 09, 2018
Kubernetes is "the" tool for Docker orchestration
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.
- Kubernetes can run anywhere, i.e in in-house datacenters as well as in Public cloud
- Very efficient management of containers and self healing.
- Out of the box Automated deployment and rollbacks. And support for many deployment strategies like blue-green, rolling update and recreate.
- Efficient secret and configuration management
- Understanding Kubernetes is little hard and has a steep learning curve.
- Kubernetes is complex, it has its own concepts called pods, services and deployments.
- Debugging and troubleshooting in Kubernetes is quite hard and requires experience.
October 05, 2017
Worth the Learning Curve
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.
- Fault tolerance - the things it does under the hood to handle failure is near magical.
- Configuration management - the ease of managing configs and secrets in kubernetes makes it a snap for integrating services.
- Service discovery - getting services to talk to each other with automated internal DNS and service-discovery makes shipping service dependencies easy.
- Speed of error detection - many times, in attempting to fix a problem, I found that kubernetes just had a delay in handling an automated fix. By changing the system, I was playing a cat and mouse game with kubernetes' attempts to auto-fix the error.
- Sensible logging - many of the logs are difficult to decipher and too verbose to be useful.
- The learning curve is high - it took many months of working with Google, in which both I and Google Support Engineers learned a lot about how Kubernetes works. The learning curve is not for people looking for quick and easy out of the box.
February 06, 2017
The best way to run your containers
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.
- Container Scheduling
- Deployments
- Extensibility
- SSL Management
- Cluster Installation
- Ingress Management