Delivering Self-Service Private Cloud with VCF: EPISODE 1

The video explains that self-service allows users to quickly and easily provision resources like compute, storage, and network without manual intervention. This is achieved through a combination of self-service catalogs, infrastructure abstraction, and robust role-based access control.

The video also discusses the importance of governance and policies in a self-service environment. It demonstrates how to create and manage policies such as approval policies and lease policies within Aria Automation. These policies help to ensure that resource usage is controlled and aligned with business requirements.

Finally, the video showcases a live demonstration of provisioning a virtual machine using Aria Automation. It highlights the ease of use and the streamlined experience for both administrators and users.

Delivering Self-Service Private Cloud with VCF: EPISODE 2

This video is the second in a series about delivering self-service private cloud with VMware Cloud Foundation (VCF). It focuses on the infrastructure-as-code (IaC) capabilities of VCF Automation.

The video explains how VCF Automation can be used to define and manage infrastructure using code, making it easier to automate and scale cloud environments. It discusses the use of YAML templates and how they can be integrated with source control systems like Git. The video also covers the support for other IaC tools like Terraform and Ansible.

The video then delves into the Aria Automation Assembler, which is the central component for defining and managing templates. It explains how the Assembler connects to various endpoints, including VCF, AWS, and Azure, and allows for the creation of cloud-agnostic templates.

The video also discusses the importance of network automation and how network profiles can be used to define network settings for different environments. It demonstrates how to create a simple VM template using the Assembler and how to deploy a load-balanced application.

Finally, the video highlights the day-2 operations capabilities of VCF Automation, such as updating load balancer configurations and scaling deployments.

Delivering Self-Service Private Cloud with VCF: EPISODE 3

This video is the third in a series about delivering self-service private clouds with VMware Cloud Foundation (VCF). It focuses on the Kubernetes automation capabilities of VCF Automation.

The video explains how VCF Automation can be used to define and manage Kubernetes infrastructure using code, making it easier to automate and scale Kubernetes environments. It discusses the use of the Cloud Consumption Interface (CCI) and how it enables users to leverage supervisor services to deliver self-service consumption of Kubernetes environments.

The video also introduces the concept of CCI templates, which allow administrators to package CCI elements into templates and publish them as catalogs for consumers. This makes it easier for users to consume Kubernetes resources through self-service catalogs.

The video includes a live demonstration showcasing how to create and manage Kubernetes resources using VCF Automation, including creating namespaces, deploying TKG clusters, and managing virtual machines. It also demonstrates how to use CCI templates to create and deploy a microservices-based application.

Finally, the video highlights the benefits of Kubernetes automation with VCF Automation, such as increased developer productivity, improved operational efficiency, and enhanced self-service capabilities.

Delivering Self-Service Private Cloud with VCF: EPISODE 4

This video is the fourth in a series about delivering self-service private clouds with VMware Cloud Foundation (VCF). It focuses on database automation using VCF Automation and VMware Data Service Manager (DSM).

The video explains how DSM enables self-service provisioning of databases like PostgreSQL, MySQL, and AlloyDB. It highlights the benefits for different personas:

Application teams: Easily provision databases, integrate with application observability, and control database configurations.
Database teams: Define and certify database templates, manage backups and DR policies, and monitor database health.
Infrastructure teams: Define infrastructure policies, manage resource consumption, and ensure compliance.

The video demonstrates how to use VCF Automation to create and manage databases, including:

• Creating a self-service catalog for database provisioning.
• Using the DSM UI to manage database configurations and scale replicas.
• Leveraging Kubernetes APIs to manage databases programmatically.
• Defining infrastructure policies in vCenter.

Finally, the video discusses the importance of enterprise support for open-source databases like PostgreSQL and MySQL, which is provided by VMware.

Delivering Self-Service Private Cloud with VCF: EPISODE 5

This video is the fifth in a series about delivering self-service private clouds with VMware Cloud Foundation (VCF). It focuses on the extensibility, orchestration, and third-party integration capabilities of VCF Automation.

The video explains how VCF Automation can be extended to integrate with various tools and services, enabling end-to-end automation for complex use cases. It discusses key concepts like:

Orchestrator: A powerful engine for creating complex workflows using scripting languages like Python, JavaScript, and PowerShell.
ABX (Action-Based Extensibility): A lightweight mechanism for defining small, reusable scripts that can be triggered by events within VCF.
Integrations: Pre-built integrations with various tools and services, including AWS, Azure, Terraform, Ansible, GitLab, and ServiceNow.

The video includes live demonstrations showcasing:

• Creating and managing workflows within the VCF Automation orchestrator.
• Defining and executing ABX actions to customize VM configurations.
• Integrating with AWS to provision instances in the public cloud.
• Integrating with ServiceNow to provide a self-service portal for users to request and manage resources.

The video concludes with a preview of the next episode, which will focus on workload day-2 patching.