DinoCloud is an experienced team of Kubernetes cloud computing consultants, architects, engineers, and trainers ready to design, implement, and support your secure infrastructure. Achieve your operational and security goals faster and with less risk. Our Kubernetes experts help you take advantage of the strengths of containerized clustered architectures while avoiding the pitfalls.
DinoCloud was an early adopter Kubernetes company, realizing the production-ready container management platform ensured availability and scalability of applications in an infrastructure-agnostic approach. Kubernetes complemented our DevOps offerings and served our clients effectively, bringing them into the Digital 4.0 world.
Bring agility, quality, and speed to your digital transformation project by moving to a Kubernetes environment. Our teams can produce and manage your Kubernetes clusters and collaborate with and train developers for application deployments. Our Kubernetes experts bring a wealth of experience in migrating your legacy applications operating on VMs or other orchestration systems to Kubernetes environments. We can help your teams continuously integrate and deploy cloud-native on-premise apps into Kubernetes.
The DinoCloud team offers Kubernetes and OpenShift container platform consulting and digital transformation solutions including:
The open-source container-orchestration system is rapidly becoming the de facto standard for automating application deployment, scaling, and management. Here’s why:
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Its vendor, Red Hat, refers to OpenShift as “Enterprise Kubernetes”, but that really only makes the 2 confusing as they are not alternatives but rather 2 elements of containerized cloud and on-premise solutions that work in tandem as Kubernetes is a structural and requisite part of OpenShift. Below highlights the differences between the two and clarifies some often misunderstood points.
|Software Classification||Project, some say framework. Free to install. 4 versions released annually. A rich ecosystem with lots of side projects.||Annual product subscription 3-4 versions a year. Note OKD is an open-source alternative with many OpenShift features which can be used to vet the solution and later move to the paid product.|
|Support||Well supported by an involved community. If the volunteer support proves inadequate, you can purchase OpenShift to get Kubernetes support.||Paid support by Red Hat.|
|Installation||Install on any linux OS such as Debian or Ubuntu.||Limited to specific Red Hat linux distros.|
|Security||–||Very strict out-of-the-box security which without deep understanding of how the default policies work, and how to reconfigure them, can be challenging to work with.|
|Permissions Management||Takes a lot of work to achieve what OpenShift offers innately, but it can be done||Integration with Active Directory and auth to external apps ease permissions management tasks.|
|Flexibility||Helms’ charts offers sophisticated templates and package versioning.||OpenShift templates are missing the supportive complexity found in Kubernetes. Helm’s architecture is not compatible with stricter OpenShift security model.|
|Networking||Must use third party plugins.||Native networking solutions.|
|Service Catalog||Less provisioning of services within clusters.||Robust service catalog.|
|Deployment Approach||Deployment objects that can be used in OpenShift as well||DeploymentConfig implemented not by controllers, but by dedicated pods with sophisticated logic|
|Container Image Management||Download the whole image, change it locally, and push it back. Plus, promoting applications requires changing container tags and updating Deployment object definition.||Upload container image once, manage virtual tags internally without dealing with the registry.|
A Kubernetes implementation usually consists of one or several master and non-master nodes. Kubernetes allows you to use existing Docker containers and workloads. While fairly simple to draw the basic constructs in a diagram, the definition and implementation of the right K8S architecture for your business is quite complex.
A Kubernetes master runs Control Plane which is responsible for maintaining the desired state of the cluster we discussed above. In its turn, the Kubernetes Control Plane consists of several components with unique roles (see the image below):
Applications deployed by users always run on non-master nodes. These nodes communicate with the master via kubelet, a central node component that performs many orchestration tasks such as registering nodes with the API server, starting and killing containers, monitoring containers, executing liveness probes, collecting container and node metrics, etc.
Also, nodes run kube-proxy, a program that reflects Kubernetes networking services on each node.
Kubernetes architecture is quite complex, but the trade-off is a robust set of options to architect the right platform for your application processing and data storage requirements. DinoCloud’s certified Kubernetes consultants have the experience to reduce risks of your Kubernetes cloud design and implementation.