DevOps Engineer to Cloud Architect - Part 3 CloudOps Engineer

• Explore the differences between DevOps and CloudOps, the

• challenges and best practices associated with the implementation of
• CloudOps, and the cloud capabilities that we needs to integrate in
• existing DevOps implementations to transform DevOps to CloudOps.
• Discover the prominent multi-cloud management tools that we can use
• to implement CloudOps, how to select the right multi-cloud
• management tool, the differences between Hybrid cloud and
• multi-cloud along with the architectural designs that can lead to
• effective multi-cloud strategy.
  
• We will also discuss how to implement and optimize multi-cloud
• strategy in the enterprise, the CloudOps design scenarios for
• managing critical architectural and operational requirement of
• multi-cloud strategy, how to build DevOps pipelines for multi-cloud
• application deployment, how to eliminate operational challenges of
• multi-cloud using the Cloud Service Brokerage platform and mitigate
• the challenges of designing CloudOps solution for multi-cloud.

• "Explore the concept of IaaS, the architecture of IaaS, the key

• benefits of IaaS with CloudOps; compare IaaS with SaaS, PaaS, and
• Bare Metal as a Service; the core components of IaaS platform and
• architecture, when to adopt declarative and imperative IaaS, the
• prominent IaaS providers, the role of orchestration in implementing
• CloudOps for heterogeneous deployments, the benefits of cloud
• orchestration along with the categories of cloud automation and
• orchestration tools.
  
• We will also discuss the multi-cloud strategies and tools for
• planning and architecting IaaS, the benefits of running containers
• in multi-cloud environments, the prominent APIs and tools that we
• can use to run containers in multi-cloud environments, the role of
• Kubernetes in container management for multi-cloud, the impact of
• containerization on multi-cloud and edge computing, learn to
• install and configure OpenStack and OpenNebula on Ubuntu LTS to
• create multi-cloud models."

• In this course, you'll explore the categories of cloud computing

• portability and interoperability, the interfaces of the Distributed
• Computing Reference Model, the standardization required for cloud
• computing portability and interoperability, and the application
• design principles that can provide better interoperability. You'll
• learn about the taxonomy of the Cloud Ecosystem Reference Model for
• designing interoperable cloud architectures, the Enterprise
• Architecture Principles of the cloud ecosystem that can help
• maintain consistency and integrity of enterprise architectures, and
• the prominent cloud deployment models and when to adopt which
• model. You'll also examine the benefits of achieving cloud
• interoperability and maximizing portability, the challenges of
• achieving interoperability between diversified cloud components,
• the key elements of Interoperability and portability for cloud
• services, what to consider when defining hybrid cloud strategy, the
• process-oriented classification of cloud migration, and features
• exhibited by public, private and hybrid cloud.

• In this course, you'll explore scenarios of adopting private and

• public cloud for application deployment, comparisons of prominent
• cloud offerings and cloud-based integration tools for deploying and
• managing varied cloud environments and increasing IT framework
• complexity, the prominent types of cloud integration, and the
• benefits of using Integration Platform as a Service. You'll learn
• about the features of the prominent types of inter-cloud
• implementations, the recommended architectural patterns for
• planning multi-cloud migration and deployments, and the multi-cloud
• implementation workflow for designing automated and portable
• architectures. You'll also discover how to install, configure, and
• set up CloudHub and Talend to build portable multi-cloud
• integration workflows and deploy applications. Finally, you'll
• examine how to work with Aviatrix to integrate AWS with Azure
• Active Directory and integrate Azure with AWS and GCP.

• In this course, learners will examine the architecture of Docker

• along with features afforded by Docker to enable and manage
• multicloud containers, environments, and services. The 12-video
• course opens with an overview of Docker and the prominent
• open-source tools that can be used by architects for productive
• container implementations. You will learn about the role of Docker
• Container Management in implementing multicloud containerization
• and the critical Docker services that you need to manage while
• setting up multicloud containerization. Along the way, explore the
• features of Docker Cloud and Docker Hub along with the benefits of
• combining Docker and multicloud computer technologies. You will
• also learn how to link multiple containers, the steps involved in
• integrating Docker Cloud with AWS (Amazon Web Services), and how to
• set up nodes on Docker Cloud and deploy services on the nodes. You
• will conclude the course by learning how to create multicloud
• clusters by using Docker Swarm, Docker Machine, and popular cloud
• platforms.

• Explore the federated application management process, the

• benefits of adopting the federated application pattern, the
• components, and features provided by Docker Enterprise. Compare the
• capabilities of Docker and Kubernetes and understand the objective
• of Cloud Native Computing Foundation.
  
• We will also learn to set up overlay network driver to create
• distributed networks among multiple Docker daemon hosts, connect
• Docker local client with remote AWS Docker, implement Multi-host
• Overlay Networking using Etcd, create AWS and Azure clusters using
• Containership.io and set up federated application management with
• Docker Enterprise and Amazon EKS.

• Explore prominent tools that can be used to manage the

• deployment and life cycle of Kubernetes. In this 15-video course,
• learn about essential patterns used with Kubernetes to create
• production level and heterogeneous deployments, as well as how to
• reduce complexity and risks of multicloud strategy with Kubernetes.
• Key concepts covered here include the architecture and components
• of Kubernetes and different types of pods to host
• vertically-integrated applications; comparing features of
• Kubernetes and Docker and the solution architectures that can be
• built; and essential Kubernetes deployment patterns that can be
• used to deploy application stacks with the Declarative deployment
• method. Other issues include Fixed and Recreate deployment
• strategies using Kubernetes; Zero Downtime and No Concurrent
• Versions deployment, applying the Blue/Green deployment strategy
• using Kubernetes; and implement Canary testing with Kubernetes
• Deployments and Services. You will examine Kubernetes Cluster
• Federation, and how to install and configure multicloud single node
• Kubernetes clusters on Ubuntu; install and configure multicloud
• Kubernetes to manage multicloud orchestration; and Extension and
• Operator patterns used in Kubernetes to improve Kubernetes cluster
• management capabilities.

• In this course, you'll explore the essential components of

• OpenStack that are used for accessing infrastructure resources.
• You'll examine topologies of multi-cloud orchestration involving
• Azure, AWS and OpenStack, as well as the differences between
• OpenStack and Kubernetes. Next, you'll look at the benefits of
• using OpenStack and Kubernetes together, the tools that can be used
• to manage OpenStack deployments, and the critical roles of
• OpenStack shared services. You'll move on to explore prominent
• features provided by Heat, the different approaches of deploying
• OpenStack, and how to get started with the most commonly used
• OpenStack services. Finally, you'll learn to install OpenStack,
• create and launch virtual machine instances, and install and
• configure storage nodes and Heat on OpenStack nodes.

• In this course, you'll explore the enterprise and operational

• factors and SLA considerations that can impact the design of
• OpenStack cloud. You'll examine open source projects that can be
• used to implement OpenStack container integration points, prominent
• containers and Platform as a Service tools that can be deployed on
• OpenStack Cloud, and the objectives of Magnum. Next, you'll learn
• about the challenges and associated solutions for implementing
• OpenStack multi-cloud, how to launch OpenStack instances using
• Docker Machine, and how to install and configure Docker on
• OpenStack instances. Finally, you'll discover how to run Kubernetes
• clusters in the OpenStack ecosystem to deploy application servers,
• install and configure Jenkins Automation Server, and install
• OpenStack-Ansible in test environments using general workflows.

• Securing multi-cloud deployments and CloudOps platforms involves

• managing the security and privacy of your cloud services. In this
• course, you'll explore the key principles and strategies for
• securing the enterprise cloud, recommended practices and models for
• perimeter security, and how to choose appropriate security
• mechanisms. You'll examine the configurable options for security
• mechanisms on both service and client side, the prominent intrusion
• detection techniques for managing cloud computing and security
• challenges, and prominent cloud audit methods. Next, you'll learn
• approaches for overcoming the impacts of security challenges in
• multi-cloud environments, best practices for improving the security
• of multi-cloud deployments, and how to secure CloudOps platforms to
• build secure pipelines, middleware, and infrastructure for
• multi-cloud applications. Finally, you'll explore issues a cloud
• architect should consider when designing cloud solutions and cloud
• service consumers should evaluate and manage the security and
• privacy of cloud services.

• Azure, AWS, and Google Cloud Platform provide various security

• services to secure access, applications, data, infrastructures, and
• deployments in the cloud. In this course, you'll explore the
• security services provided by AWS Cloud Security for securing
• workloads and applications, as well as the Azure security products
• that can be used to protect data, applications, and
• infrastructures. You'll explore the Google Security Model, the
• security services provided by Google, why you need to secure
• containers, and recommended cloud container security best practices
• for securing container usage in the cloud. You'll move on to learn
• about how configure AWS Security Hub, create and configure
• symmetric and asymmetric keys using AWS KMS, and implement Azure
• Active Directory and Seamless Single Sign-On. Finally, you'll
• examine how to set up VPN between a Check Point Security Gateway
• and Cloud VPN on Google Cloud Platform, harden security and
• restrict network access to the control plane and nodes of Google
• Kubernetes Engine, and how to encrypt Kubernetes secrets at the
• application layer.

• Implementing the right software-defined wide area network

• (SD-WAN) framework for the organization can help improve network
• management, decrease hardware costs, increase efficiency, and even
• enhance security. In this course, you'll explore the differences
• between traditional, software-defined networking, and a
• software-defined wide area network (SD-WAN). You'll learn about the
• advantages, working mechanisms, solution architecture, and primary
• components of SD-WAN. Next, you'll examine the topologies and
• deployment models that can be used to design SD-WAN overlays, along
• with prominent tools and applications that can be used to build,
• deploy, and maintain SD-WAN. You'll learn how to apply CloudOps in
• networks to simplify configuring, managing, and delivering the
• SD-WAN. You'll examine security challenges and best practices for
• secure deployment of SD-WAN and prominent Cisco SD-WAN
• architectures that can be implemented in AWS. You'll see approaches
• that can be used in an SD-WAN to transform complex legacy networks
• into easy-to-manage and scalable networks. Finally, you'll learn to
• configure AWS Transit Gateway, AWS-provided Cisco Cloud Services
• Router 1000V - BYOL, and VMware SD-WAN.

Final Exam: CloudOps Engineer will test your knowledge and application of the topics presented throughout the CloudOps Engineer track of the Skillsoft Aspire DevOps Engineer to CloudOps Architect Journey.