Introduction: Why Kubernetes is a Must-Have for DevOps in 2026
The IT market in 2026 continues to change rapidly. Containerization has become the de facto standard for application development and deployment. According to the annual CNCF Survey, over 96% of organizations using containers employ Kubernetes in production environments. This means the demand for specialists who can not only run a pod but also design a fault-tolerant cluster, configure monitoring, automate deployment, and ensure security is growing exponentially.
The CKA + CKAD — Kubernetes Administrator & Developer course on the asibiont.com platform is a comprehensive program that prepares you for the two most prestigious certifications from the Cloud Native Computing Foundation: Certified Kubernetes Administrator (CKA) and Certified Kubernetes Application Developer (CKAD). But, as you will see, the goal of the course is much broader: you will learn real-world work with Kubernetes in a production environment, not just "solve" exam tasks.
What is this course and who is it for?
CKA + CKAD — Kubernetes Administrator & Developer is a program that combines administration and development on Kubernetes. It is designed for engineers who want to move from theory to practice and gain deep, applied skills.
Who is this course suitable for?
| Target Audience | Initial Level | Learning Goal |
|---|---|---|
| System Administrators | Basic knowledge of Linux, networks | Transition to DevOps, learn to manage clusters |
| Developers (Java, Go, Python) | Experience writing microservices | Learn to deploy and scale applications in Kubernetes |
| Entry-level DevOps Engineers | Experience with Docker, Git | Deepen knowledge, prepare for CKA/CKAD |
| IT course graduates | Basics of containerization | Gain practical experience for employment |
The course is structured so that even a beginner with basic Linux knowledge can master the material by consistently completing practical tasks. For "advanced" users, the program offers deep dives into advanced topics: Custom Resources, Operators, Admission Webhooks, Service Mesh.
What you will learn: specific skills and knowledge
The course program consists of 12 modules covering all key aspects of working with Kubernetes. But let's look at what specific skills you will gain upon completion.
1. Cluster Architecture and Installation
You will understand how all control plane components work: etcd, API server, scheduler, controller manager. This knowledge is critical for diagnosing problems. For example, if your API server stops responding, you will be able to check logs, ensure etcd is available, and restart the component without panic.
In practice, you will learn:
- Deploy a cluster using kubeadm on bare-metal servers.
- Use managed solutions: EKS (AWS), AKS (Azure), GKE (Google Cloud).
- Configure a High Availability (HA) cluster with multiple master nodes.
2. Working with Pods, Deployments, StatefulSets
You will learn to create and manage applications. For example, you will understand the difference between a Deployment and a StatefulSet, and when to use each. Practical case: deploy a PostgreSQL database using a StatefulSet to ensure unique identifiers for each replica.
3. Configuration and Secrets
ConfigMaps and Secrets are the foundation for flexible application configuration. You will learn:
- Create ConfigMaps from files and literals.
- Mount them as volumes or pass them through environment variables.
- Work with Secrets to store passwords and tokens.
4. Networking and Security
Service, Ingress, Network Policies — these topics often cause difficulties. In the course, you will break down how kube-proxy works, how to configure an Ingress Controller (e.g., NGINX Ingress) for traffic routing, and how to use Network Policies to isolate pods from each other. For example, you will be able to configure a policy that allows database access only from specific application pods.
5. Storage: Persistent Volumes and Storage Classes
You will learn how to attach persistent storage to a pod that survives container restarts. In practice, you will create a PersistentVolumeClaim and configure a Storage Class for dynamic disk allocation in the cloud.
6. Helm and Kustomize
Helm is the standard for packaging applications in Kubernetes. You will learn to create your own charts, manage dependencies, and version releases. Kustomize, built into kubectl, allows you to customize manifests without templates. You will be able to quickly adapt configurations for different environments (dev, staging, prod).
7. RBAC and Security
Role-Based Access Control is the foundation of cluster security. You will learn to create Service Accounts, assign roles, and restrict user actions. For example, you can configure permissions so that a developer can only view logs but not delete pods.
8. Monitoring and Logging
Without monitoring, a cluster is a black box. You will learn:
- Install and configure Prometheus and Grafana.
- Use Metrics Server to collect CPU/RAM metrics.
- Set up log collection with EFK (Elasticsearch, Fluentd, Kibana) or Loki.
9. CI/CD and GitOps
Deployment automation is a key skill. You will master ArgoCD and Jenkins X, as well as GitOps principles, where the cluster state is stored in a Git repository. This allows rollbacks and ensures reproducibility.
10. Service Mesh (Istio, Linkerd)
Service Mesh enables traffic management, security, and observability for microservices without code changes. You will deploy Istio and configure routing, mTLS encryption, and trace collection.
11. Advanced Topics
Custom Resources (CRD) and Operators allow you to extend Kubernetes capabilities. You will create your first operator to automate routine tasks. Admission Webhooks enable you to validate and mutate API server requests. Vertical/Horizontal Pod Autoscaler and Cluster Autoscaler help automatically scale applications and infrastructure under load.
How is learning structured on asibiont.com?
The asibiont.com platform uses a unique approach: personalized learning with AI. Unlike traditional courses with a fixed program, the neural network generates lessons for each student. How does it work?
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AI-generated personalized lessons. After registration, you specify your level, goals, and interests. The neural network creates text lessons that adapt the material to your pace and depth of understanding. If you grasp a topic quickly, AI suggests more complex tasks. If something is unclear, it explains it in simple language with examples.
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Text format. All lessons are presented as text. This allows you to focus on the material, take notes, and revisit difficult points. You can study the course at any time: at work, on the subway, or at home.
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24/7 access. There is no fixed schedule. You learn at your own pace. All materials are available around the clock.
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Practical tasks in a real cluster. Each module includes tasks performed in a real Kubernetes cluster. You don't just read theory — you configure network policies, deploy applications, and debug errors.
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Troubleshooting sessions and mock exams. The program includes special modules on problem diagnosis. You will learn to read logs, analyze events, and find root causes of failures. Also included are mock exams for CKA (24 tasks in 2 hours) and CKAD (19 tasks in 2 hours), simulating the real exam.
Why AI learning is modern and effective?
The IT world changes every few months. Kubernetes releases three versions per year. Traditional courses become outdated faster than you finish them. AI learning on asibiont.com solves this problem:
- Adaptation to level. The neural network analyzes your answers and adjusts the program. If you make a mistake in a Network Policies task, AI will suggest an additional lesson covering that topic.
- Explanation of complex concepts. For example, the topic of etcd — a distributed key-value store — can be difficult for a beginner. AI will explain it using an analogy with a phone book, then move to technical details.
- Answers to questions. You can ask a question on any topic, and AI will provide a detailed answer with examples and links to official documentation.
- Practical focus. AI generates tasks that simulate real-world production problems. You don't just memorize; you learn to solve problems.
Career prospects after the course
Demand for specialists with Kubernetes skills continues to grow. According to job search portals, the number of vacancies requiring Kubernetes knowledge has increased by 40% over the past two years. The average salary for a DevOps engineer with Kubernetes experience in 2026 ranges from 250,000 to 400,000 rubles in Moscow and from 200,000 to 300,000 rubles in the regions. Specialists who master both administration and development are especially highly valued.
Graduates of the course can apply for positions such as:
- Kubernetes Administrator — managing clusters, ensuring availability, monitoring.
- DevOps Engineer — automating CI/CD, configuring infrastructure.
- Platform Engineer — creating internal platforms for developers.
- Site Reliability Engineer (SRE) — ensuring system reliability and performance.
Real-world cases from practice
Imagine you work for a company migrating a monolithic application to microservices. Your task is to deploy 20 microservices in Kubernetes, configure traffic balancing, ensure secure database access, and set up monitoring. Without the knowledge gained from the course, this task could take weeks. With the skills you will acquire, you can:
- Use Helm charts to package microservices.
- Configure Ingress for domain-based routing.
- Create a Network Policy that allows database access only from specific pods.
- Install Prometheus and set up alerts for pod failures.
Another example: you need to configure automatic scaling of an application under load. You will study Horizontal Pod Autoscaler and Cluster Autoscaler so that the system automatically adds replicas when traffic increases and removes them when it decreases.
Conclusion: start your journey to Kubernetes expertise
The CKA + CKAD — Kubernetes Administrator & Developer course on asibiont.com is not just exam preparation. It is systematic training that gives you practical skills in demand on the market. You will learn to manage clusters, automate deployment, ensure security, and monitor.
The asibiont.com platform with AI-generated lessons makes learning flexible and personalized. You learn at your own pace, get explanations of complex topics in simple language, and solve real-world tasks.
Don't put your career on hold. The market is waiting for specialists who know how to work with Kubernetes. Join the course and become the expert employers are looking for.
Start learning on the CKA + CKAD — Kubernetes Administrator & Developer course
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