This Architecting with Google Kubernetes Engine Training in Kazakhstan teaches you how to deploy, manage, and secure containerized applications on Google Kubernetes Engine (GKE). Through lectures, demos, and hands-on labs, you’ll explore Kubernetes components such as pods, deployments, services, networking, and storage, while learning how to apply real-world solutions.
Completion of “Getting Started with Google Kubernetes Engine” or equivalent hands-on experience.
Cloud architects
System administrators
SysOps / DevOps engineers
Professionals creating new solutions or integrating existing systems on Google Cloud
By the end of this Architecting with Google Kubernetes Engine Training in Kazakhstan, you will have gained knowledge and skills in the following areas:
Create and manage workloads in GKE
Explain pod networking and service communication
Use Kubernetes storage abstractions (volumes, StatefulSets, ConfigMaps, Secrets)
Secure clusters with IAM, RBAC, and Pod Security Standards
Configure monitoring and logging with Cloud Observability
Integrate managed storage services (Cloud Storage, Cloud SQL) with GKE
Design and implement CI/CD pipelines on GKE
Creating, inspecting, and updating deployments
Using Jobs and CronJobs for scheduled tasks
Scaling clusters manually and automatically
Pod scheduling with affinity, taints, and tolerations
Pod networking fundamentals
Kubernetes Services & load balancers
Ingress and container-native load balancing
Network policies
Ephemeral vs persistent volumes
Running StatefulSets
Using ConfigMaps & Secrets for configuration
Persistent storage integration in GKE
Authentication and authorization in Kubernetes
RBAC & IAM integration
Workload Identity for secure service access
Pod security standards and admission
Cloud Logging & Cloud Monitoring
Inspecting logs via kubectl
Configuring GKE-native observability
Using Cloud Storage with Kubernetes apps
Managed database services overview
Connecting to Cloud SQL using Auth Proxy
Understanding CI/CD principles
CI/CD tools on Google Cloud
Designing CI/CD pipelines for GKE
Best practices
Review of objectives and key concepts
Reinforcement of practical knowledge
Join our public courses in our Kazakhstan facilities. Private class trainings will be organized at the location of your preference, according to your schedule.
Kazakhstan stands as the preeminent technological and financial powerhouse of Central Asia, with the dynamic cities of Almaty and Astana serving as global magnets for innovation. The country is home to the Astana Hub, an international tech startup center, and Nazarbayev University, both of which are at the forefront of pioneering research in Artificial Intelligence, Blockchain, and Big Data analytics. Kazakhstan has achieved worldwide recognition for its advancements in digital mining and financial technologies, supported by a national strategy that prioritizes high-quality IT education and continuous professional development. Our comprehensive training programs are strategically designed to empower professionals in Kazakhstan to master complex corporate systems and lead large-scale digital innovation processes. By bridging the gap between local talent and global industry standards, we ensure that the Kazakh workforce remains highly competitive in the rapidly evolving Eurasian digital economy.