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Kubernetes Consulting & Support Services

Kubernetes - Automating deployment, scaling, and management of containerized applications

Kubernetes is a production grade containerization solution developed by Google, for easily managing multiple containerized applications in a complex clustered environment. The point of this solution is to find better methods to manage related, distributed components across a diverse infrastructure. Our Kubernetes consulting services helped many organizations to streamline their CD/CI process.

Global Scale

Kubernetes is based on the same principles as Google which allows billions and billions of containers to run in a week. Kubernetes can scale your applications without the need of increasing an organization’s ops team.

Grows with you

Whether you locally test an application or you run an enterprise, no matter the complexity or the load Kubernetes offers flexibility which can grow with your organization's need to deliver the applications more consistently and easily .

open source

Kubernetes is an open source solution, which gives the freedom to organizations to take the advantage of on-premises, hybrid, or a public cloud infrastructure. This allows organizations to move workloads to where the outcomes are most feasible.

Resource Prioritization

Kubernetes comes with automation and pipelines, which will remove constraints and minimize wastes by using containers.

Automated Binpicking

Kubernetes can automatically place containers based on their priority, resource constraints and user requirements, all of this without giving up on availability

Self Correcting

Kubernetes comes with multiple fail-safe features, it can restart failed containers. Kubernetes can automatically replace and reschedule containers when nodes become unresponsive. Also, it closes containers which do not respond to a user-defined health check.

Ease of scaling

With Kubernetes load balancing becomes an easy task, Kubernetes gives each container their own individual IP addresses and a single DNS name for a set of containers and can load-balance across them

Load balancing made easy

With Kubernetes load balancing becomes a easy task, Kubernetes gives each containers their own individual IP addresses and a single DNS name for a set of containers, and can load-balance across them. This translates as no modification is needed to application while on the up.

Automated Deployment

Kubernetes can be programmed to automatically deploy changes or updates to a specific application or its configurations, kubernetes can actively track and monitor the application’s health to ensure it does not encounter any unforeseen circumstances.

configuration management

Kubernetes enforces strict privacy when it comes to deploying and updating your application configuration, all this is done without revealing any information about the changes in your image.

Storage

Kubernetes gives you the ability to automatically mount the storage system of your choice. DevOps engineers go ahead with internal storage or from a public cloud provider such as GCP or AWS. Kubernetes is also compatible with network storage system such as NFS, iSCSI, Gluster, Ceph, Cinder, or Flocker.

What is Kubernetes?

Kubernetes, kube or K8 is a Google-developed open source platform which can help DevOps engineers to automate multiple Linux container operations. With Kubernetes, DevOps engineers can automate many manual processes associated with deploying and scaling containerized applications. What makes Kubernetes better than its rivals is its ability to executing multiple containers at the same time or to the point DevOps engineers can run clusters of application inside multiple containers at the same time. With Kubernetes, the execution can be in any environment be it a private, public or even a hybrid cloud.

Borg, must be thanked for Kubernetes, it was the predecessor to Kubernetes, the shortcoming associated with Borg has been addresses with Kubernetes. Google was, in fact, a contributor to the early Linux container technologies. By fusing Kubernetes to Google Cloud Platform, Google Kubernetes oversees more than 2 Billion container deployments per week.

What can you do with Kubernetes?

With Kubernetes, DevOps engineers can create, run execute, track and monitor multiple containers in Kubernetes platform. Whether be it physical or virtual machines, the containers can be scaled to mimic any environment, applications can be monitored for their response rate, performance, error detecting, quality testing and many more metrics can be recorded. What makes Kubernetes a standout is that all the above-mentioned operations can be automated as well, even for multiple containers.

Why do you need Kubernetes?

When compared with the competition, Kubernetes overcomes many of their shortcomings. For starters with Kubernetes allows DevOps engineers to deploy containers across multiple servers hosts. With Kubernetes, DevOps engineers can tweak and control the orchestration and management capabilities of each individual containers, DevOps engineers can schedule the containers, scale them if needed, monitor the health of individual containers, DevOps engineers can write programs which can span multiple containers and more.

Kubernetes can be integrated into the networking, storage, telemetry, security, testing tools, and many other services to provide DevOps engineers with a solid container infrastructure. Depending on the environment, applications can be scaled up or down, the scaling is done be according to the number of containers as well. While all of this may sound complicated, with Kubernetes it is easy to track and monitor the performance of all containers. Whether be it single container executing multiple services or multiple containers executing single service.

Let’s Talk Kubernetes

Kubernetes comes with its own jargons and terms, to better understand Kubernetes you may need to understand what somewhat words associated with Kubernetes mean.

Master The admin system from Kubernetes nodes can be controlled, from the master, tasks and assignments can be given to each application.
Node Secondary systems where applications are executed, they are fully controlled by the master for intents and purposes.
Pod A single node which contains one or more than one containers, the containers inside a pod share IP address, hostname, IPC and also share resources. They do not have structured network, this allows DevOps engineers to move containers around pods quickly.
Replication controller This controller controls the pods running identical containers across a cluster.
Kubelet A tracking and monitoring microservice which tracks and monitors the outputs for application across multiple containers.
Kubectl The command line configuration for executing Kubernetes.

Kubernetes Consulting & Support Services