After the public cloud was highlighted, there were some attempts to equalize on-premises and cloud infrastructure. More and more enterprises face some important decisions as they seek ways to leverage the capabilities of the public cloud. For example, you need to decide what technology to use with some clouds, how to manipulate and manage resources, and how to deploy applications.
Open-source projects like OpenStack, CloudStack, and Eucalyptus aim to be a hybrid cloud platform for the seamless integration of corporate data centers with the public cloud.
Due to the gap between on-premises and cloud hypervisors and virtual machine administrators, workload portability has never been easier. The ability to easily extend cloud burst infrastructure and applications to the cloud has been an infrastructure architect’s dream.
Since 2015, the two major trends that have started to change the face of hybrid cloud are containers and Kubernetes. Kubernetes has grown in popularity as a replacement for proprietary virtual machine managers. The industry ultimately developed a uniform infrastructure layer by using containers as deployment units and Kubernetes as orchestration administrators.
Kubernetes & Hybrid Cloud
Of course, Kubernetes, the open-source container orchestrator, is more than a hybrid cloud platform. It’s an option for deploying applications—especially in containers, but not necessarily—on any premises or public cloud infrastructure or their combination. The Kubernetes project’s major focus is not even on supporting hybrid cloud architectures.
However, Kubernetes offers a significant advantage for hybrid applications. It offers a single approach to deploying and managing apps regardless of their infrastructure. This is done by summarising the infrastructure underlying the application environment.
Kubernetes also provides a consistent deployment and management experience even if some of your servers and applications are running in the public cloud and others are running on-premises or in a colocation facility, because it can manage application environments that span multiple types of infrastructures at the same time.
Kubernetes-Hybrid Cloud Platforms
Some providers have chosen a Kubernetes-first strategy to hybrid cloud in recent years. The most well-known example is Google Anthos, which uses Google Kubernetes Engine to manage clusters in any public cloud or private data center. Tanzu, a VMware platform, is another example.
AWS’s EKS Anywhere, which uses Amazon’s Elastic Kubernetes Service to manage on-premises clusters (as well as those in other public clouds), qualifies as a hybrid cloud platform. Although EKS Anywhere isn’t Amazon’s primary hybrid cloud solution (that honor goes to AWS Outposts, which offers a broader range of hybrid services), it does fit the hybrid cloud bill to the degree that it allows for the deployment of containerized applications across multiple hosting environments.
Why Choose Kubernetes – Hybrid Cloud
It might be difficult to move data and apps between different types of clouds and providers’ services. That’s where Kubernetes comes in. Kubernetes was created with a variety of workloads and application types in mind. It was made to help organizations migrate apps across different infrastructures. When used in conjunction with a hybrid cloud infrastructure, Kubernetes can be immensely effective in addressing the global data-transfer regulation issue.
It was assumed that in this environment only stateless programs could work yet state-of-the-art applications in hybrid infrastructures fast become the standard. Because of portability and agility, enhanced storage, and manufacturing-ready applications, organizations turn to the state of play apps on Cubans with hybrid cloud architecture.
In addition, hybrid clouds based in Kubernetes are more versatile than those based on the proprietary tools of a cloud vendor. For example, when you are using Azure Stack, migrating from Azure itself to AWS Outposts will be difficult because the conversion is practically identical. However, it would be easier to migrate from Anthos to Tanzu – though not smooth – because both platforms are based on Kubernetes.
These hybrid cloud solutions not only allow mobility of workloads but also allow Kubernetes to scale workloads across different environments.
Final Words
These benefits show that the connection between Kubernetes and hybrid cloud environments is strong and mutually beneficial. These benefits offer prospective businesses an insight into the future and eventually a competitive advantage. Kubernetes has already spread like fire in the industry and more & more organizations continue to integrate it each year. Going forward, Kubernetes is going to become the universal control plane that can manage containers, virtual machines, traditional workloads, and contemporary applications.
Docker is, on the other hand, another amazing technology that has seen a remarkable increase in use over the years. That’s why Docker and Kubernetes are so demanding throughout the world that enterprises around the world integrate these two main containers.
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Our online Kubernetes course will cover the fundamentals to advanced concepts of Docker and Kubernetes. This Kubernetes certification course provides you with the opportunity to network with industry experts, enhance your skills to meet industry and organizational standards, and learn about real-world best practices.
This Docker and Kubernetes Certification course will cover the following –
- Essentials of Docker
- Overview of Kubernetes
- Minikube
- Kubernetes Cluster
- Overview Kubernetes Pod
- Kubernetes Client
- Creating and modifying ConfigMaps and Secrets
- Replication Controller and Replica Set
- Deployment
- DaemonSet
- Jobs
- NameSpaces
- Dashboard
- Services
- Exploring the Kubernetes API and Key Metadata
- Managing Specialized Workloads
- Volumes and configuration Data
- Scaling
- RBAC
- Monitoring and logging
- Maintenance and troubleshooting
- The ecosystem
Prerequisites for Docker & Kubernetes Certification
- Basic command knowledge of Linux
- Basic understanding of DevOps
- Basic knowledge of YAML programming language (beneficial, not mandatory)