This DevOps course will cover the cultural philosophies, practices, and tools that increases an organization’s ability to deliver applications and services at high velocity: evolving and improving products at a faster pace than organizations using traditional software development and infrastructure management processes. This speed enables organizations to better serve their customers and compete more effectively in the market.To become a DevOps engineer, our trainees will learn, on Amazon Web Service (AWS) cloud platform, how to plan, develop, test, build, review, qualify, secure, deploy, maintain, manage and monitor software and applications using computerised automated techniques and agile management systems. 

Entry Requirements & Certifications

This course is suitable for complete beginners (with no prior knowledge of computing) to advanced and expert know-how in information technology. All you need to enroll is a laptop, internet connection and a desire to pursue a worthwhile career – to ensure a brighter and richer future.

At Sudobarn Technologies, this course will equip trainees with the understanding, skills and knowledge to sit and achieve internationally recognised certifications in the field of DevOps such as (but not limited to):

• AWS, GCP or Azure Certified Cloud Practitioner.
• AWS, GCP or Azure Certified Solutions Architect – Associate.
• AWS, GCP or Azure Certified SysOps Administrator – Associate.
• AWS, GCP or Azure Certified Developer – Associate.
• AWS Certified Solutions Architect – Professional.
• AWS Certified DevOps Engineer – Professional.

• Microsoft Certified: DevOps Engineer Expert.
• Certified Kubernetes Administrator (CKA)
• Docker Certified Associate.
• The Linux Foundation Professional Certificate
• System Infrastructure Certificate

DevOps on AWS will provide a set of flexible services designed to enable companies to more rapidly and reliably build and deliver products using AWS and DevOps practices. These services simplify provisioning and managing infrastructure, deploying application code, automating software release processes, and monitoring your application and infrastructure performance. As such, trainees will learn and practice the following:

• Agile, Scrum & DevOps Concepts and Practice. Using Agile and DevOps change management principles to design an Agile and DevOps transformation roadmap for an organisation undergoing digital transformation. The focus here will be on end customer outcomes and the importance to continuously deliver value to the customer. Trainees will be able to visualise the business value stream end-to-end and develop solutions that align with end customer expectation.
• Continuous Integration. This is a software development practice where developers regularly merge their code changes into a central repository, after which automated builds and tests are run. The key goals of continuous integration are to find and address bugs quicker, improve software quality, and reduce the time it takes to validate and release new software updates.
• Continuous Delivery. It is a software development practice where code changes are automatically built, tested, and prepared for a release to production. It expands upon continuous integration by deploying all code changes to a testing environment and/or a production environment after the build stage. When continuous delivery is implemented properly, developers will always have a deployment-ready build artifact that has passed through a standardized test process.
• The microservices architecture is a design approach to build a single application as a set of small services. Each service runs in its own process and communicates with other services through a well-defined interface using a lightweight mechanism, typically an HTTP-based application programming interface (API). Microservices are built around business capabilities; each service is scoped to a single purpose.
• Infrastructure as a Code. Infrastructure as a code (Iaac) is a practice in which infrastructure is provisioned and managed using code and software development techniques, such as version control and continuous integration. The cloud’s API-driven model enables developers and system administrators to interact with infrastructure programmatically, and at scale, instead of needing to manually set up and configure resources. Thus, engineers can interface with infrastructure using code-based tools and treat infrastructure in a manner similar to how they treat application code. Because they are defined by code, infrastructure and servers can quickly be deployed using standardized patterns, updated with the latest patches and versions, or duplicated in repeatable ways.
• Monitoring and Logging. Organizations monitor metrics and logs to see how application and infrastructure performance impacts the experience of their product’s end user. By capturing, categorizing, and then analysing data and logs generated by applications and infrastructure, organizations understand how changes or updates impact users, shedding insights into the root causes of problems or unexpected changes. Active monitoring becomes increasingly important as services must be available 24/7 and as application and infrastructure update frequency increases. Creating alerts or performing real-time analysis of this data also helps organizations more proactively monitor their services.
• Communication and Collaboration. Increased communication and collaboration in an organization is one of the key cultural aspects of DevOps. The use of DevOps tooling and automation of the software delivery process establishes collaboration by physically bringing together the workflows and responsibilities of development and operations.
• DevOps Tools. The DevOps model relies on effective tooling to help teams rapidly and reliably deploy and innovate for their customers. These tools automate manual tasks, help teams manage complex environments at scale, and keep engineers in control of the high velocity that is enabled by DevOps. Trainees will learn and practice the use of tools such as Linux Commands, Shell Scripting, Git & GitHub, Maven, Tomcat, Apache HTTP Server, SonarQube, Grafana, Prometheus, AWS, Jenkins, Terraform, Docker, Kubernetes, etc.

Start your DevOps career on AWS/Linux with us by following the link below: