Developer productivity is critical to the success of any company. Developer productivity is connected to developer experience. If the developer experience is not good, it can lower developer productivity. Engineers require good tools to boost productivity. And if developers are unable to locate or create effective tooling, productivity suffers in the long term.
Kubernetes is a popular platform for container orchestration. If the development team controls its Kubernetes cluster, it means that it is single-tenant, and you have complete control over everything. However, if the Kubernetes clusters are maintained by a centralized platform team and that team allows accessibility for developers, which is known as multi-tenancy, you will almost certainly face the following problem: how to boost team efficiency while keeping costs down. The organization defaults to one of two multi-tenancy types: cluster as a service or namespace as a service.
Increase Productivity with Kubernetes
If you work as a DevOps Engineer or Site Reliability Engineer (SRE), you may almost certainly be working with several clusters. Across these clusters, you may potentially be working with numerous namespaces. Switching between contexts & namespaces when using the kubectl command-line tool can be time-intensive.
Kubernetes is highly popular today, and many people operate with Kubernetes clusters utilizing kubectl as a command-line UI. Most individuals prefer to work using kubectl rather than GUI-based tools.
SRE & DevOps engineers and also developers, who operate with several clusters, such as Dev, Production environments, and staging / UAT, must move the context. Different teams at different businesses share Kubernetes clusters. Kubernete namespaces are utilized to segregate workloads. Every time a command is run, the namespace must be specified.
In such cases, moving across namespaces within the same cluster, as well as changing the entire context to refer to a new cluster, might be time-consuming. Using kubectx & kubens increases productivity while dealing with kubectl. We don’t need to know long context names as well as the names of each namespace in the cluster. Use these powerful tools to increase your productivity.
Service model for control planes
The Kubernetes community is transitioning to a genuine multi-tenancy paradigm incorporating Control planes as a Service, commonly known as a virtual cluster. Each tenant has its own unique Kubernete control plane, though service node resources are shared. On a physical Kubernete cluster/Supercluster, the developer team still only has access to the namespace, but they also have access to a “virtual cluster,” where the team can oversee their cluster-wide resources. This strategy offers both cost-effectivenesses as well as developer productivity.
You can construct a virtual cluster and then become administrator of it if you can deploy within a single namespace.
Full administrative access: You may not be an administrator in the host cluster, but you may be able to do everything you want in the vcluster:
- Set namespaces.
- Set up RBAC permissions.
- Install CRDs & controllers.
- Put a new ingress controller to the test.
This implies that the platform team may not require to configure a virtual cluster. That appeals to the dev team.
Tips & Tools to Improve Efficiency
Shifting the context of Kubernetes.
You may need to transition between contexts if you are dealing with a local Kubernetes instance plus one or more cloud Kubernetes instances. The Kubernetes CLI (kubectl) contains commands that enable you to operate in various contexts:
- set-context – use-context
Switching namespaces in Kubernetes.
Dealing with resources from several namespaces is another regular task when working with Kubernetes. For example, you may wish to list pods inside one namespace while monitoring services in another. One approach that you can follow is to utilize the —namespace flag, which the Kubernetes CLI supports. To retrieve all pods there in the namespace test, for instance, use kubectl get pods -n test. If the namespace flag is not specified, the default Kubernetes namespace is utilized, which is aptly titled default.
This default response can be modified in the kubeconfig file; for instance, you might set the default namespace as a test, Kube-system, or some alternative namespace. This eliminates the need to use the —namespace switch while searching for resources.
Along with the kubectx tool, you additionally have kubens, which allows you to list & switch between multiple namespaces.
Obtain a terminal within the Kubernetes cluster.
When using services & pods operating within the cluster, you must either disclose them to the open network or use a Kube proxy or forward ports among the local system & services running within the cluster.
However, there are situations when you only want to perform the curl command without revealing any services or without forwarding ports. To do this, you can utilize a function that runs a pod with the radial/busyboxplus:curl image within the cluster, giving you access to the terminal – kbash.
Kubernetes boosts efficiency
Kubernetes allows developers to streamline and expand their virtualization abilities, scaling containers as required to reach growing and falling load expectations. Kubernete clusters may span public, private, as well as hybrid cloud environments, including Microsoft’s popular Hyper-V & Azure platforms.
While Kubernetes uses Docker’s Swarm clustering & scheduling technology, it also adds other important features. These features make it more adaptable and sophisticated, such as self-healing replication leveraging ongoing snapshots for retrieving persistent information when anything goes wrong. Kubernetes also handles issues that frequently arise when installing a significant number of containers; for example, it assigns scheduling units known as pods that enhance load balancing and assure high availability. All of these improvements enable real programs to span several containers across multiple server hosts.
Read a Blog post: Top Kubernetes Technical Interview Questions and their Answers
Adopting it frequently results in cost savings and increased computation and scalability efficiency for businesses. Of course, as the number of clusters inside a company rises, so will the administration, monitoring, as well as security of numerous Kubernete installations. Given the current adoption rate of Kubernetes, a uniform solution to those needs will be required just to sustain growth.
Virtualization, like other technologies, is evolving, with containerization & Kubernetes providing possibilities that managers did not previously have. Organizations are only now beginning to acknowledge and embrace new levels of productivity and efficiency. Given the potential benefits, it may be time for you to consider how Kubernete may enhance your IT operations.
Learn Kubernetes online with Cognixia
With the Kubernetes certification course, you can boost your future job prospects.
Enroll in Cognixia’s Docker and Kubernetes certification course to sharpen your abilities and open the doors to a successful and brighter future. With our Kubernete online training, you have the finest online learning experience. Our training involves hands-on, real-time, interactive, and instructor-led sessions. Cognixia is here to give you an engaging learning experience & to help you improve your knowledge and skills through collaborative online training, allowing you to add considerable value to your company in this fiercely competitive world.
Our Kubernetes online training includes sessions from the foundations to advanced topics of Docker and Kubernetes. This Kubernete certification course lets you interact with industry professionals, develop your capabilities to satisfy industry and organizational standards, and learn about real-world best practices.
This Docker and Kubernetes Certification course covers the following –
- Essentials of Docker
- Overview of Kubernetes
- Kubernetes Cluster
- Overview Kubernetes Pod
- Kubernetes Client
- Creating and modifying ConfigMaps and Secrets
- Replication Controller and Replica Set
- Exploring the Kubernetes API and Key Metadata
- Managing Specialized Workloads
- Volumes and configuration Data
- 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, but not mandatory)