Kubernetes on AWS Training Course

This instructor-led, live training in Malaysia (online or onsite) targets cloud engineers and developers who wish to use CloudFormation to manage infrastructure resources within the AWS ecosystem.

By the end of this training, participants will be able to:

• Implement CloudFormation templates to automate infrastructure management.
• Integrate existing AWS resources into CloudFormation.
• Use StackSets to manage stacks across multiple accounts and regions.

Amazon Redshift is a petabyte-scale cloud-based data warehouse service in AWS.

In this instructor-led, live training, participants will learn the fundamentals of Amazon Redshift.

By the end of this training, participants will be able to:

• Install and configure Amazon Redshift
• Load, configure, deploy, query, and visualize data with Amazon Redshift

Audience

• Developers
• IT Professionals

Format of the course

• Part lecture, part discussion, exercises and heavy hands-on practice

Note

• To request a customized training for this course, please contact us to arrange.

This instructor-led live training in Malaysia (online or onsite) is designed for developers who want to use Amazon S3 to enable cloud-based storage for their websites, web applications, and/or mobile applications.

This instructor-led, live training in Malaysia (online or onsite) is aimed at beginner-level to intermediate-level system administrators and IT professionals who wish to gain hands-on experience in managing AWS cloud services and prepare for the AWS Certified SysOps Administrator - Associate exam.

By the end of this training, participants will be able to:

• Set up and configure AWS services and resources securely.
• Manage user identities, permissions, and access to AWS resources.
• Design and deploy scalable, highly available, and fault-tolerant systems on AWS.
• Implement and manage data flow to and from AWS.
• Optimize AWS service usage to ensure efficient operation and cost management.

This instructor-led, live training in Malaysia (online or onsite) is designed for cloud engineers who wish to understand and implement the more complex aspects of AWS architecture. The course covers many topics similar to those in AWS Certified Solutions Architect (Professional) level courses. However, this course is NOT intended to prepare participants for an exam. It is a hands-on, practical course that demonstrates how to implement in a live lab environment many of the configurations, implementations, and deployments that an AWS Solutions Architect would need to carry out.

By the end of this training, participants will be able to:

• Design complex cloud solutions on AWS.
• Deploy software applications on AWS that are scalable, highly available, and fault-tolerant.
• Integrate the most appropriate AWS services with an application.
• Migrate a complex software application to AWS.
• Apply best practices to the design, implementation, optimization and deployment of infrastructure and applications on AWS.

This instructor-led, live training in Malaysia (onsite or remote) is designed for engineers who wish to deploy and manage IoT devices on AWS.

By the end of this training, participants will be able to build an IoT platform that includes the deployment and management of a backend, gateway, and devices on top of AWS.

This instructor-led live training in Malaysia (online or onsite) is designed for developers who wish to install, configure, and manage AWS IoT Greengrass capabilities to create applications for various devices.

By the end of this training, participants will be able to use AWS IoT Greengrass to build, deploy, manage, secure, and monitor applications on intelligent devices.

This instructor-led, live training in Malaysia (onsite or remote) is designed for developers who wish to use AWS Lambda to build and deploy services and applications to the cloud, without worrying about provisioning the execution environment (servers, VMs and containers, availability, scalability, storage, etc.).

Upon completion of this training, participants will be able to:

• Configure AWS Lambda to execute a function.
• Comprehend FaaS (Functions as a Service) and the benefits of serverless development.
• Build, upload, and execute AWS Lambda functions.
• Integrate Lambda functions with various event sources.
• Package, deploy, monitor, and troubleshoot Lambda-based applications.

DO180 provides a foundational understanding of containers, Kubernetes core concepts, and Red Hat OpenShift platform principles, with a strong emphasis on practical, hands-on application.

This live, instructor-led training, available either online or onsite, is designed for technical professionals at beginner to intermediate levels who aim to master container workflows, Kubernetes primitives, and the deployment and operation of applications on OpenShift.

Upon completion of this training, participants will be equipped to:

• Construct and manage container images and registries, adhering to best practices for reproducibility and security.
• Deploy and manage Kubernetes objects, such as pods, deployments, and services, within the OpenShift environment.
• Leverage OpenShift features like routes, buildconfigs, and the web console to streamline application delivery.
• Implement persistent storage, configuration management, and secret handling for stateful workloads.
• Apply fundamental security, RBAC, and monitoring practices to ensure the health of clusters and applications.

Course Format

• Interactive lectures and discussions.
• Daily hands-on labs conducted in a live OpenShift environment.
• Scenario-based exercises and troubleshooting workshops.

Course Customization Options

• To arrange customized training for this course, please contact us.

This instructor-led, live training in Malaysia (online or onsite) is aimed at advanced-level professionals who wish to deepen their understanding of DevOps practices and streamline development processes using AWS Cloud9.

By the end of this training, participants will be able to:

• Set up and configure AWS Cloud9 for DevOps workflows.
• Implement continuous integration and continuous delivery (CI/CD) pipelines.
• Automate testing, monitoring, and deployment processes using AWS Cloud9.
• Integrate AWS services such as Lambda, EC2, and S3 into DevOps workflows.
• Utilize source control systems like GitHub or GitLab within AWS Cloud9.

This instructor-led, live training in Malaysia (online or onsite) is aimed at intermediate-level professionals who wish to learn how to effectively build, deploy, and maintain serverless applications on AWS Cloud9 and AWS Lambda.

By the end of this training, participants will be able to:

• Understand the fundamentals of serverless architecture.
• Set up AWS Cloud9 for serverless application development.
• Develop, test, and deploy serverless applications using AWS Lambda.
• Integrate AWS Lambda with other AWS services such as API Gateway and S3.
• Optimize serverless applications for performance and cost efficiency.

This instructor-led, live training in Malaysia (online or onsite) is designed for engineers who want to use Helm to simplify the installation and management of Kubernetes applications.

Upon completion of this training, participants will be able to:

• Install and configure Helm.
• Create reproducible builds of Kubernetes applications.
• Share applications as Helm charts.
• Run third-party applications saved as Helm charts.
• Manage releases of Helm packages.

Summary:

• Understanding the fundamental principles and architecture of IoT
• Exploring the roles of 'Things' and 'Sensors', their connectivity to the internet, and their alignment with business processes
• An overview of key IoT software layers: hardware, firmware, middleware, cloud infrastructure, and mobile applications
• Core IoT capabilities: fleet management, data visualization, SaaS-based fleet and data visualization tools, alerting systems, sensor and device onboarding, and geofencing
• Foundations of IoT device-to-cloud communication using the MQTT protocol
• Integrating IoT devices with AWS via MQTT and AWS IoT Core
• Linking AWS IoT Core with AWS Lambda for data computation and storage within DynamoDB
• Establishing connections between Raspberry Pi devices and AWS IoT Core for efficient data exchange
• Practical application: Constructing a smart device using Raspberry Pi and AWS IoT Core
• Visualizing sensor data and enabling web interface communication

This instructor-led, live training in Malaysia (online or in-person) is designed for beginner to intermediate software developers and DevOps professionals looking to learn how to set up and manage a local Kubernetes environment using Minikube.

Upon completion of this training, participants will be able to:

• Install and configure Minikube on their local machine.
• Grasp the fundamental concepts and architecture of Kubernetes.
• Deploy and manage containers using kubectl and the Minikube dashboard.
• Establish persistent storage and networking solutions for Kubernetes.
• Use Minikube for developing, testing, and debugging applications.

This instructor-led, live training in Malaysia (online or on-site) targets intermediate-level developers and DevOps engineers who wish to use Minikube as part of their development workflow.

By the end of this training, participants will be able to:

• Set up and manage a local Kubernetes environment using Minikube.
• Understand how to deploy, manage, and debug applications on Minikube.
• Integrate Minikube into their continuous integration and deployment pipelines.
• Optimize their development process using Minikube's advanced features.
• Apply best practices for local Kubernetes development.