Master Cloud-Native: Microservices, Containers, Kubernetes, Service Mesh, gRPC, Helm, Redis, Kafka, CI/CD, GitOps, ELK..
InstructorMehmet OzkayaEditorial course preview
These 4 complementary views highlight concrete, legible examples from the course presentation.
This course map outlines the cloud-native curriculum structure, progressing from microservices and containers through orchestration and communications to backing services, scalability, DevOps, and observability.
This visual roadmap outlines the cloud-native tools and technologies covered in the course, including Docker, Kubernetes, Istio, Prometheus, and various backing services.
This diagram outlines the course's pedagogical methodology, illustrating a cyclical learning path that moves from theoretical principles to practical implementation through exploration and design.
This course target slide outlines objectives for software developers and architects, focusing on cloud-native microservices, interview preparation, and ecosystem understanding.
The curriculum is organized into logical stages covering Microservices, Containers, Communications (Service Mesh), Backing Services, Scalability, and DevOps/GitOps.
Includes hands-on implementation of various technologies including CockroachDB, Redis, and Kafka on Kubernetes clusters.
Instructional signals suggest a heavy reliance on theoretical explanations and reading slides, which may lack the depth of actual application coding.
Hands-on labs are reported by some as being difficult to follow due to a lack of clear sequencing or cohesive project development. This signal predates the displayed course update; the update may have addressed it, but the update label does not prove that it was corrected.
The curriculum aligns with the target audience of architects and engineers, though some learners suggest more diverse language-based examples.
