FI1DECO10 Cloud Operations and Applications
FI1DECO10 Cloud Operations and Applications
- Course description
- Course CodeFI1DECO10
- Level of Study5.2
- Program of StudyDevOps Engineering
- Credits10
- Study Plan CoordinatorFrederick Johannes Botha
This course provides candidates with the knowledge and skills needed to operate applications and services within public cloud environments. Candidates will learn about virtual infrastructure management, containers, as well as industry-required topics such as Infrastructure as a Service (IaaS), Platform as a Service (PaaS) and Software as a Service (SaaS). Additionally, candidates will learn practical skills to manage the operation of services in public and private clouds, user security, monitoring the environments to collect key performance metrics, and how to optimise deployments using container orchestration platforms such as Kubernetes.
The candidate…
- has knowledge of concepts, processes, and tools used in public and private cloud computing environments.
- has knowledge of cloud deployment strategies and the differences between public and private cloud solutions.
- has knowledge of virtual infrastructure management and the virtualisation of processes for cloud-based systems.
- has knowledge of containerisation tools such as Docker and their role in cloud application deployment.
- has knowledge of Infrastructure as a Service (IaaS) and relevant service providers.
- has knowledge of Platform as a Service (PaaS) and available deployment options.
- has knowledge of Software as a Service (SaaS) and common application implementations.
- has knowledge of container orchestration systems such as Kubernetes.
- has insight into relevant industry standards and best practices for secure and efficient cloud operations.
- can update his/her vocational knowledge through cloud provider documentation, training resources, and industry updates.
- understands the importance of cloud services in supporting digital infrastructure and enabling value creation in the technology sector.
The candidate…
- can apply vocational knowledge to configure, manage, and monitor cloud-based applications and services relevant for DevOps.
- masters practical use of virtual infrastructure platforms, containerisation, and orchestration systems in DevOps workflows.
- can find information and resources relevant to solving cloud operations challenges.
- can study a situation, identify issues in cloud environments, and determine what operational or deployment measures should be implemented.
The candidate…
- understands the ethical principles that apply to cloud operations, including data privacy, security, and responsible resource usage.
- has developed an ethical attitude in relation to the practising of cloud management in professional contexts.
- can carry out cloud deployment and operational work based on the needs of selected target groups or organisational requirements.
- can build relations with peers, including those in related disciplines, and with external stakeholders when managing shared cloud resources.
- can develop work methods, cloud solutions, and operational processes of relevance to the practising of cloud computing in professional settings.
Digital Learning Resources
The learning management system (LMS) is the primary learning platform where students access most of their course materials. The content is presented in various formats, such as text, images, models, videos or podcasts. Each course follows a progression plan, designed to lead students through weekly modules at their own pace. Exercises and assignments (individual or in groups) are embedded throughout the courses to support continuous practice and assessment of the learning outcomes.
Campus Resources
In addition to the digital learning resources, campus students participate in physical learning activities led by teachers as part of the overall delivery.
Guidance
Guidance and feedback from teachers support students' learning journeys, and may be provided synchronously or asynchronously, individually or in groups, via text, video or in-person feedback.