Aplyca Will Improve Your Content Strategy with Kubernetes
Our Kubernetes services
On-Premise Kubernetes mounting
We train and accompany your operations team in the management of Kubernetes.
Consultation for the adoption and architecture of Kubernetes.
Kubernetes Cloud Mounting
Amazon Web Services, Microsoft Azure, Google Container Engine
Advantages of Kubernetes
Kubernetes K8S is the most popular solution for container orchestration because
of its development speed and wide adoption.Its main features are:
Scaling and auto-scaling: depending on use of the CPU, it allows the vertical scaling of your
applications automatically or manually (through a command or through the interface).
Discovery of services and load balancing: an external mechanism for the discovery of services
is not necessary, because Kubernetes assigns containers their own IP address, as well as a unique DNS for a set
of containers. It also can perform load balancing and failover.
Self-repair: you can automatically restart a failed container, and replace or re-plan containers
when a node dies. Additionally, you can stop containers that don’t respond to user-defined health checks.
Automatic rollbacks and deployments: Kubernetes deploys updates or reconfigurations
progressively while monitoring application health, to ensure that it does not kill all instances at once,
In case of failure, it makes an automatic rollback.
Planning: according to the resources it requires and other restrictions, Kubernetes
oversees and determines in which node each container will be executed. It combines critical workloads
and best-performance, to enhance utilization and resource savings.
Configuration and secret management: sensitive information, such as passwords or SSH keys,
is stored in Kubernetes, hidden in secrets. Both the configuration of the application and the secrets are
deployed and updated without having to reconstruct the image or expose confidential information.
Storage Orchestration: you can automatically mount the storage system you need,
whether it is local storage, storage in a public cloud provider (such as GCP or AWS), or even a network
storage system, such as NFS, SCSI, Gluster, Ceph, Cinder-or Flocker.
Batch execution: in addition to the services, Kubernetes can manage batch and
CI workloads, replacing failed containers.