Kubernetes Consulting

Integration, Enablement & Training

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.

depiction of kubernetes and openshift use of containers and security features in the cloud helping companies meet key standards such as HIPAA, FedRAMP, and PCI DSS

Containerization Services

The DinoCloud team offers Kubernetes and OpenShift container platform consulting and digital transformation solutions including:

  • Cloud infrastructure management for cloud native applications with continuous delivery.
  • Managed Kubernetes services and hybrid-cloud strategy for platform development using AWS, Azure, Google Cloud, and private cloud offerings.
  • DataOps architecture design and consulting to build scalable, agile data infrastructure that achieves business goals and integrates siloed teams and processes.
  • Enterprise AI platform to exploit container orchestration to manage and scale microservices architectures for artificial intelligence and machine learning to support decision intelligence.
  • Cloud-Native DevOps consulting and implementation to help you structure your teams to take advantage of the automation and scalability that Kubernetes offer, ultimately to meet your goals of increasing the velocity of your business.
  • Application Modernization consulting and design of the pathway of iterations to achieve replacement or integration of legacy systems. 
  • EDGE AI and Federated Learning expertise to create architectures that harvest machine learning at the edge device for the benefit of the consumer.
  • Microservices and Container Security engineering to ensure your application deployments and operations overcome the challenges of many moving parts and communication risks.
  • Hybrid Cloud Solutions engineering to help you balance your business needs and costs with flexible, responsive applications and data storage solutions..
  • Compliant infrastructure management to meet the security and privacy demands of your industry (PCI DSS, HIPAA, FedRAMP, ISO 27001) from FinTech to healthcare to retail and beyond.

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Why Kubernetes?

The open-source container-orchestration system is rapidly becoming the de facto standard for automating application deployment, scaling, and management. Here’s why:

  • Productivity. More rapidly develop and iterate with easy application deployment, release updates, and management of your apps and services. Allow cloud native applications to apply decoupling concepts so that developers can focus on core functionality of each service to deliver fine-grained functionality.
  • Resource Efficiency. Let Kubernetes optimize infrastructure utilization as it calculates the compute, memory, and storage resources each application needs and schedules instances across the cluster. Automatic bin packing defines and executes how much CPU and memory (RAM) each container needs and lets Kubernetes execute.
  • Load Balancing. Kubernetes distributes network traffic so that deployment is stable.
  • Streamline Operations. Automate application deployments, monitoring, instance replication, cluster scheduling, and seamless application releases.
  • High Availability. Kubernetes brings automated self-healing to the container world by  routinely checking application health, restarting failed containers, replacing containers, eliminating containers unresponsive to health checks.  
  • Automated States. Define your desired state so that Kubernetes can change the actual state to desired state in a controlled environment.
  • Scalability. Automatically meet demand by using the Kubernetes Horizontal Pod Autoscaler to add instances of your application services as needed.     
  • Storage Orchestration. Design your storage system to suit your enterprise needs.
  • Portability. Easily deploy applications across environments and clouds by deploying to DigitalOcean that can run anywhere Kubernetes is supported.
  • Elastic Infrastructures. Customers can use a self-service interface that may be provisioned with preconfigured virtual server images, storage, and network connectivity. Resource utilization is monitored and reported for traceable billing and automation of management tasks.
  • Secret and Configuration management. Securely store passwords, OAuth tokens, and SSH keys.

Using OpenShift Container Platform?

No worries, we’re here to help.

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.

Differentiator
Software ClassificationProject, 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.
SupportWell supported by an involved community. If the volunteer support proves inadequate, you can purchase OpenShift to get Kubernetes support. Paid support by Red Hat.
InstallationInstall 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 ManagementTakes a lot of work to achieve what OpenShift offers innately, but it can be doneIntegration with Active Directory and auth to external apps ease permissions management tasks.
FlexibilityHelms’ 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.
NetworkingMust use third party plugins.Native networking solutions.
Service CatalogLess provisioning of services within clusters.Robust service catalog.
Deployment ApproachDeployment objects that can be used in OpenShift as wellDeploymentConfig implemented not by controllers, but by dedicated pods with sophisticated logic
Container Image ManagementDownload 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.

Kubernetes Architectural Components

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):

  • etcd is a data store for all information about a cluster. It’s the glue that holds the integrity of the entire platform together.
  • kube-apiserver enables users to create API resources, run applications, and configure cluster parameters.
  • kube-controller-manager manages user-created API objects. It polices the actual cluster state to ensure it always matches the desired state.
  • kube-scheduler is responsible for user workload scheduling. It considers available node resources, node health, user-defined constraints, and more to determine the right infrastructure to process the work.
  • cloud-controller-manager interacts with the cloud providers’ APIs embedding cloud-specific control logic that lets you link your cluster into your cloud provider.

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.

Our HQs

Miami
40 SW 13th St Suite 102, Miami
FL 33130 USA
+1 574 598 4299

New York
67-87 Booth St #2H, Forest
Hills NY 11375
+1 571 322 6769

Colombia
Cra. 19a #103-19Usaquén,
Bogotá 110111,
Colombia

Argentina
Humberto 1° 630, Piso 4
Córdoba, X5000HZQ
Argentina.

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