CloudOps: CloudOps beginner
Technology:
Expertise:
- 3 Courses | 4h 23m 49s
- 1 Course | 40m 33s
- 25 Courses | 34h 24m 34s
- 5 Courses | 5h 50m 17s
Explore CloudOps, the management of IT services and workloads in a cloud environment.
GETTING STARTED
Multi-cloud Load Balancing: Principles of Load Balancing
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1m 3s
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8m 42s
GETTING STARTED
Comparing Multi-cloud Load Balancing Solutions: Load Balancer Vendors
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1m 23s
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4m 38s
GETTING STARTED
Applying the Explainability Approach to Guide Cloud Implementation
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1m 28s
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4m 11s
GETTING STARTED
Multi-cloud Load Balancing: Disaster Backup & Recovery
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2m 5s
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7m 15s
COURSES INCLUDED
Multi-cloud Load Balancing: Principles of Load Balancing
Load balancers are a fundamental component in any distributed application architecture. In this course, you'll explore what load balancers do and where they are used. Then, you'll discover how they have evolved into modern day application delivery controllers. You'll learn about the different types and features available in modern load balancing solutions. You'll then move on to explore standard network topologies that incorporate load balancing, as well as how to effectively introduce Layer 4 and Layer 7 load balancers. You'll learn how a load balancer in the cloud can vary from on-prem and examine load balancing across different cloud platforms. Finally, you'll learn how to deploy both a Layer 4 and a Layer 7 cloud-native load balancing solution on the Microsoft Azure platform.
14 videos |
1h
Assessment
Badge
Multi-cloud Load Balancing: Load Balancing Design Strategies
Understanding design theory, network design, and how load balancers work is critical to an effective network deployment. In this course, you'll learn about design theory and how to apply it to build a reusable patterns. Then, you'll explore network design concepts and methods, where you'll examine how an enterprise network is structured for maximum efficiency. Next, you'll move on to learn about where a load balancer fits into the network architecture. You'll explore capacity planning and how to right-size your load balancer deployments, as well as considerations and best practices for load balancer deployments. Finally, you'll explore the methods and algorithms used in load balancing.
14 videos |
1h
Assessment
Badge
Multi-cloud Load Balancing: Designing Multi & Hybrid Cloud Solutions
The cloud brings many opportunities, but it also brings challenges to network design and operational workload placements. In this course, you'll learn about the private, public, hybrid, and multi-cloud models. You'll explore the challenges and opportunities of adopting the cloud and how to plan for a migration. Next, you'll examine design patterns, architectures, and topologies of cloud deployments, as well as best practices to use when selecting a topology. You'll explore options available for DNS routed load balancing across data centers. Finally, you'll learn how to design a cloud architecture and how to incorporate load balancers for various stages of data flow.
14 videos |
1h 23m
Assessment
Badge
COURSES INCLUDED
Comparing Multi-cloud Load Balancing Solutions: Load Balancer Vendors
Different scenarios require different types of load balancers and there are various vendors available for each type. It is beneficial to know how the various load balancer providers compare when planning a cloud-based architecture with load balancing. In this course, you'll learn about the benefits and limitations of the different types of load balancers, including hardware, virtual, and cloud-based. You'll explore the features and technologies provided by the various load balancer vendors and how they compare with one another. You'll also examine the different types of cloud-based load balancers available. Finally, you'll learn about the role of failover in cloud architectures and how it relates to load balancing.
9 videos |
40m
Assessment
Badge
COURSES INCLUDED
Applying the Explainability Approach to Guide Cloud Implementation
In this course, you'll explore the concept of AI Explainability, the role of CloudOps Explainability in managing multi-cloud solutions, how to evaluate explanatory systems, and the properties used to define systems to accommodate explainability approaches. You'll look at how users interact with explainable systems and the effect of explainability on the robustness, security, and privacy aspects of predictive systems. Next, you'll learn about the use of qualitative and quantitative validation approaches and the explainability techniques for defining operational and functional derivatives of cloud operation. You'll examine how to apply explainability throughout the process of operating cloud environments and infrastructures, the methodologies involved in the three stages of AI Explainability in deriving the right CloudOps model for implementation guidance, and the role of explainability in defining AI-assisted Cloud Managed Services. Finally, you'll learn about the architectures that can be derived using Explainable Models, the role of Explainable AI reasoning paths in building trustable CloudOps workflows, and the need for management and governance of AI frameworks in CloudOps architectures.
14 videos |
1h 4m
Assessment
Badge
CloudOps Solutioning Strategies
In this course, you'll learn about the essential components involved in solutioning CloudOps projects, the layered approach of managing enterprise CloudOps applications, and the role-based and layer-based CloudOps solutioning architectures. You'll examine the role of different types of cloud engineers in providing logical and physical architectures for the CloudOps solutioning process. You'll also learn about the role of the Cloud Governance Framework in providing comprehensive cloud-centric governance for each phase of the cloud transformation life cycle used in CloudOps. Next, you'll explore the RACI Matrix of Roles for each CloudOps solutioning stakeholder, the Measures and Metrics involved in solutioning CloudOps strategy, and the anatomy of Cloud Service Agreements. Finally, you'll learn about the logical CloudOps architecture and prominent CloudOps solutioning tools for designing, planning, architecting, and implementing CloudOps solutioning.
14 videos |
1h 14m
Assessment
Badge
Cloud Transition: Adopting & Moving to Cloud & Multi-cloud Environments
In this course, you'll explore the role of a cloud architect in transitioning from DevOps to CloudOps. You'll examine the role of a Cloud Operating Model in defining operational processes, as well as the role of the people, organization and operations domain in determining the CloudOps transition process. Next, you'll look at the best practices for transforming enterprise capabilities, the benefits of multi-cloud transition, and the approaches of managing data and information to implement the right cloud transition mechanism. You'll move on to learn about prominent cloud transition strategies for building CloudOps transition roadmaps. You'll explore the systemic principles for planning multi-cloud transitions, tools for planning and deploying CloudOps solutions, and the processes, SLAs, and KPIs associated with running cloud operations that can be used to create operational baseline capabilities. Finally, you'll explore how to facilitate a smooth process, data, and platform transition in multi-cloud environments and the transition path for identifying and applying the right CloudOps Maturity Model.
14 videos |
1h 11m
Assessment
Badge
Securing CloudOps Deployments: Security Standards for Multi-cloud
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.
12 videos |
1h 8m
Assessment
Badge
Securing CloudOps Deployments: Implementing Multi-cloud Security
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.
12 videos |
55m
Assessment
Badge
Building Multi-cloud Deployments: Managing Environments
When multi-cloud or hybrid deployment scenarios are at play in distributed environments, technical support engineers need to switch from a data center to a CloudOps mindset. In this course, you'll investigate several deployment strategies for setting up multi-cloud or hybrid infrastructures. You'll examine multi-cloud architecture patterns, use cases, and business continuity reference architecture, as well as how to approach secure multi-cloud peering. You'll also identify the services provided by multi-cloud management systems for simplifying next-gen firewall insertion and operations and the CI/CD processes for managing multi-cloud. You'll recognize the challenges of federated multi-cloud PaaS and hybrid and multi-cloud environment monitoring, design consideration for setting up multi-cloud disaster recovery processes, and the differences between cloud orchestration and automation. Finally, you'll create and configure a virtual network, gateway subnet, VPN gateway, and virtual private cloud Elastic IP VPN device in Azure and AWS.
16 videos |
1h 27m
Assessment
Badge
Building Multi-cloud Deployments: Deploying Environments
A CloudOps engineer should be able to deploy into various multi-cloud environments confidently. In this course, you'll recognize the key benefits of multi-cloud deployments and recall the CAMP and TOSCA principles for flexible multi-cloud deployment. You'll examine the features of high-performance cloud routing, cloud network-as-code, and multi-cloud and multi-region transit routing. You'll also identify multi-cloud deployment, management, and cost control tools, the features of Cloudify and Kubernetes for managing multi-cloud deployment challenges, and the conceptual architecture and benefits of CI/CD pipelines for multi-cloud deployment. Next, you'll outline how to create multi-cloud applications and segregate services. Finally, you'll deploy the Node.js web server and application using Cloudify, setup and configure Spinnaker for multi-cloud deployments, configure Jenkins for multi-cloud pipeline management, and create and configure a simulated hybrid environment for deployment.
15 videos |
1h 17m
Assessment
Badge
Advanced CloudOps Deployments: CI/CD in CloudOps
You may know how to implement continuous integration (CI) and continuous delivery (CD) in a single cloud environment, but what about more advanced environments? In this course, you'll explore the challenges of applying CI/CD techniques to hybrid and multi-cloud environments and the benefits and use cases for doing so. You'll examine the 12-factor multi-cloud CI/CD process, the critical components of integrated solution design, the prominent hybrid and multi-cloud architecture patterns, and tools to manage CI/CD processes. You'll then outline how to set up multi-cloud environments geared for CI/CD implementation and how to transition from traditional multi-cloud to secure CI/CD deployment. Next, you'll investigate enterprise CI/CD patterns for diversified hybrid and multi-cloud environments and how to build pipelines for multi-cloud application deployment. Lastly, you'll identify the different hybrid environments that can simplify multi-cloud CI/CD processes.
16 videos |
1h 29m
Assessment
Badge
The Skilled CloudOps Engineer: Roles & Responsibilities
When transitioning to a CloudOps Engineer role, you're required to recognize where your responsibilities lie and how to embrace proper CloudOps practices. In this course, you'll distinguish the roles of DevOps and CloudOps engineers and explore a CloudOps engineer's role in designing, deploying, and managing end-to-end IT processes and in project management. You'll examine the fundamental factors in setting up a robust CloudOps practice, the primary cloud infrastructure components and technologies, and how to implement DevOps principles to ensure continuous operations in public and private clouds. You'll also investigate the most prominent cloud architectures, automation techniques for composing agile and automated end-to-end IT processes, and software re-architecting and re-engineering approaches. Lastly, you'll identify the significant CloudOps security and compliance challenges you need to mitigate when transitioning from a traditional IT to a CloudOps environment.
12 videos |
1h 4m
Assessment
Badge
The Skilled CloudOps Engineer: Transforming to a CloudOps Engineer
To develop into a dependable CloudOps engineer, you need to be conscious of the many hats you must wear and the many situations you need to plan for. In this course, you'll explore the various skills needed by CloudOps engineers, including those required for cloud management, CloudOps component architecting, and to establish collaboration and communication techniques. Next, you'll learn how to identify the need for continuous application optimization in the cloud and outline why and how to adopt cloud reference architecture. You'll also identify optimal CloudOps transformation and modernization methods, how to design a technology upgrade path, and the selection criteria when choosing cloud platforms and tools. Lastly, you'll investigate how to embody a strategic advisor's role and implement appropriate multi-cloud security assessment and defense techniques when designing and architecting CloudOps solutions.
12 videos |
1h 5m
Assessment
Badge
High-availability Cloud Deployments: Designing High-availability Solutions
An obvious goal of any cloud engineer is to ensure as little loss of service and downtime as possible. In this course, you'll explore the concept of high availability and outline the most common IT considerations, necessary components, architectures, and recommended strategies for implementing high availability. You'll examine the different types of outages addressed using high-availability solutions and the implementation approaches for primary and secondary distribution servers in high-availability environments. You'll then classify the benefits and pitfalls of implementing high-availability deployments and compare traditional and virtualized high-availability and failover solutions. Furthermore, you'll investigate the system availability metrics, key cloud architecture patterns, and critical cloud service management guidelines for designing and architecting high-availability solutions. Lastly, you'll differentiate between traditional and cloud high-availability solutions and define the process of migrating from traditional to cloud high-availability deployments.
16 videos |
1h 27m
Assessment
Badge
High-availability Cloud Deployments: Implementing High-availability Solutions
How high availability (HA) is implemented, managed, and deployed often comes down to how applications use HA in their given environments - traditional or cloud. In this course, you'll learn how to implement HA in the cloud. You'll start by examining three-layer classification and the role of availability frameworks in implementing high-availability cloud solutions. You'll then explore the design process for developing a highly available cloud, the concept of elasticity and scalability, and the HA services provided by various cloud providers. Next, you'll configure a template that defines EC2 instances and use it to create an EC2 Auto Scaling group. You'll use AWS CodePipeline to deploy applications to multiple high-availability environment regions and Azure to create highly available virtual machines. Lastly, you'll configure an instance for high availability in GCP.
14 videos |
1h 26m
Assessment
Badge
CloudOps Automation: Designing & Prototyping Solutions
Transitioning to the cloud requires a design-thinking process. In this course, you'll explore the tasks and considerations involved in CloudOps solution design. You'll examine how to shift from a static to a dynamic infrastructure, utilize knowledge exploration and exploitation, and adopt a CloudOps managed strategy and architecture service. You'll investigate the role of prototyping tools, using them to create visual drafts of CloudOps solutions. You'll use Lucidchart with AWS and Azure to present architectural diagrams, visualizations to create CI/CD task boards, and Visual Paradigm to create multi-cloud visual architectures and perform a Five Forces Model analysis. Next, you'll investigate the patterns used to implement reliable and recoverable CloudOps solutions, including health endpoint monitoring patterns. You'll outline the steps involved in managing a hosted cloud service. Lastly, you'll identify the routing requests used in multi-cloud environments.
23 videos |
2h 14m
Assessment
Badge
CloudOps Automation: Continuous Automation Implementation
Continuous automation in CloudOps provides many benefits, but its impact doesn't come without disadvantages. In this course, you'll explore the advantages and disadvantages of several areas of automation, including continuous product delivery, infrastructure provisioning automation, Zero Code multi-cloud automation, and edge networking automation. Next, you'll investigate how to establish an automation governance model and the role of automation and multi-cloud orchestration in moving cloud workloads and managing infrastructure environments. You'll identify prominent multi-cloud management tools and typical use cases of disposable and repeatable infrastructure. Moving on, you'll configure Terraform for automated workflows, use Jenkins and Terraform on Amazon EKS to configure continuous integration, and use Ansible and Terraform to set up environments. Lastly, you'll deploy applications to AWS and configure Cloudify to integrate with an automation toolchain and use a single CI/CD plugin.
21 videos |
2h 5m
Assessment
Badge
CloudOps Performance Tuning: Applying Performance Principles
When designing solutions, CloudOps practitioners need to mitigate typical performance issues. In this course, you'll explore some common performance problems and the systemic tuning approach to improving performance. You'll examine what comprises a performance engineering approach before outlining a practical performance tuning roadmap. Next, you'll identify post-deployment performance diagnostic techniques for large-scale software systems, essential steps when optimizing application performance, and functional and non-functional components and layers to consider when planning performance management. Moving on, you'll outline the steps involved in configuring performance testing and identify critical cloud computing KPIs and metrics. You'll investigate use cases that help identify gaps in hybrid and multi-cloud deployment architectures. You'll examine performance management challenges and recommended solution architecture for cloud-hosted services. Lastly, you'll outline how to measure private and hybrid cloud performance.
14 videos |
1h 13m
Assessment
Badge
CloudOps Performance Tuning: Tuning Cloud Performance for Deployment
Managing the performance of cloud-hosted services doesn't come without challenges. Luckily, there are tools to help you monitor, measure, and improve performance. You'll start this course by exploring common performance management challenges and solutions. You'll then examine parameters to track IT infrastructure and application performance, differentiate between performance and scalability, and identify key metrics to monitor virtualized environments. Next, you'll look in-depth at the purpose of various tools and services, such as the purpose of the five pillars of the AWS framework, how to improve infrastructure resources on Google Cloud Platform, and the role of IBM Cloud Application Performance Management in increasing cloud efficient. You'll also work with CloudWatch Agent, AWS Compute services, Amazon QuickSight, and Application Insight to increase performance efficiency and visibility and troubleshoot issues. Finally, you'll outline how to ensure applications are more scalable, resilient, and manageable in Azure.
19 videos |
1h 54m
Assessment
Badge
CloudOps Performance Tuning: Managing Multi-cloud Performance
Managing the performance of cloud deployments extends to managing multi, hybrid, and multi/hybrid distributed cloud infrastructures. In this course, you'll explore the challenges, goals, and strategies for performance optimization in these environments. You'll start by identifying desired characteristics for successful and robust hybrid or multi-cloud designs. Next, you'll outline how to create a multi-cloud performance optimization strategy and monitor hybrid and multi-cloud distributed infrastructures. You'll then identify common multi-cloud performance challenges and associated solutions. Furthermore, you'll investigate prominent use cases of multi-cloud networking, recommended solutions to resolve multi-cloud network configuration issues, and the different non-functional tests available to determine a multi-cloud performance benchmark. You'll examine significant business and service continuity performance tuning tasks. Lastly, you'll outline how to tune multi-cloud integrator components to resolve connectivity issues between two participating clouds.
11 videos |
1h 4m
Assessment
Badge
Cloud Solutions: Supporting Cloud Operations
Supporting critical CloudOps tasks requires skills and knowledge specific to managing and troubleshooting cloud operations and multi-cloud environments. This course takes a look at essential DevOps elements, the required support architecture, and the automation mindset needed to support critical CloudOps operations. You will explore why creating knowledge bases and establishing key troubleshooting approaches is an essential part of dealing with the challenges and issues of managing multi-cloud environments and storage. Using these tools, you'll be able to identify the root cause of multi-cloud issues and how to troubleshoot the identified issues. In this course, you'll also discover the differences between problem management and incident management, the role of monitoring and alerting systems in resolving operational issues, and the key capabilities of multi-cloud discovery. Finally, the course provides insight into the critical application and business KPIs that can be analyzed to prioritize support tasks.
14 videos |
1h 19m
Assessment
Badge
Explainability for Cloud Deployments: Applying Explainability in CloudOps
CloudOps architects need to explain how their often complex, multi-cloud deployment solutions work to a wide variety of audiences - not an easy feat, but one you'll learn to overcome in this course. You'll start by defining the concept of interpretability and explainability in CloudOps. You'll then outline how to build explainability into a CloudOps workflow, investigating the core explainability principles and benefits along the way. You'll examine the explainability decision tree used to derive a value stream from an existing CloudOps implementation, the algorithms used to explain CloudOps practices, and the governance strategy for deploying explainable cloud applications in multi-cloud environments. You'll examine the challenges and opportunities of explainable AI in CloudOps and identify the key applied intelligence features to derive AIOps solutions. You'll end this course by creating a basic explainability workflow using New Relic.
14 videos |
1h 29m
Assessment
Badge
Redundant CloudOps Solution Design: Redundancy Principles
Continuous operations and improvements in the cloud is key for successful CloudOps and requires the appropriate components, tools, and best practices to be implemented. Cloud virtualization platforms offer the capability to provide highly redundant, failure-proof systems through the use of hardware and software components. In this course, you'll explore the concept and objective of redundancy and the hierarchical network design used to attempt to eliminate single points of network failure in the network. Part of the discussion includes the key redundancy architectures and factors to consider in providing redundancy in the network design. You'll also examine the features of various cloud computing architectures and differentiate among redundancy management approaches in diversified deployment environments. Next, you'll investigate the need for redundancy in data centers and outline the concept of site redundancy and the role of geo-redundancy in resolving problems of unused computing resources. You'll then identify the need for data replication to achieve redundancy, the features of asynchronous and synchronous replication, along with the conceptual aggregated work path for cloud services to implement redundancy and enable end-to-end availability.
15 videos |
1h 13m
Assessment
Badge
Redundant CloudOps Solution Design: Managing Multi-cloud Redundancy
An additional level of redundancy for cloud operations can be achieved by leveraging the resources and architectural components of multiple clouds. In this course you'll explore the concept of the platform as a service (PaaS) framework and the tools available to design diversified architectures. You'll discover open-source and SaaS-based tools used to manage redundant multi-cloud environments, the implementation of geo-redundancy and replication in AWS, Azure, and GCP as well as the key cloud redundancy design principles for building resilient application infrastructures. Also discussed are the key principles and best practices for building multi-cloud deployment platforms and disaster recovery programs. The course also explores recommended design principles and components for cloud data management, architecting successful disaster recovery plans using multi-cloud technologies, and demonstrating how to work with Visio, Arpio, and Hashicorp to design redundant multi-region cloud architectures. Finally, you'll learn how to replicate an AWS environment to an alternate AWS regions and set up redundant environments on AWS and Azure.
17 videos |
1h 31m
Assessment
Badge
CloudOps Interoperability: Modeling Cloud Computing for Integration
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.
14 videos |
1h 20m
Assessment
Badge
CloudOps Interoperability: Inter-cloud Integration & Implementation
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.
14 videos |
1h 18m
Assessment
Badge
CloudOps: Infrastructure as Code
Examine how Infrastructure as Code (IaC) can eliminate deficiencies associated with manual resource configuration. Explore benefits and best practices for implementing IaC, prominent tools used, and benefits of Policy as Code. Key concepts covered in this 14-video course include how to use IaC to eliminate deficiencies associated with manual resource configuration; essential stages involved in the lifecycle of IaC and roles played by those stages; the transformation of IaC from DevOps to the CloudOps paradigm; and benefits of using Policy as Code to implement IaC. You will learn benefits and best practices for implementing IaC to realize CloudOps; prominent tools and services that can be used to implement IaC while applying the required DevOps and CloudOps policies; and the concept of Continuous Configuration Automation and tools used to automate and configure various layers of infrastructure. Next, see how to install Chef and write cookbooks that can be used to manage provisioning of resources; learn Infrastructure as a Service (IaaS) and differentiate between IaaS and IaC; and implement IaC with CloudFormation.
14 videos |
1h 26m
Assessment
Badge
Implementing IaaS & Orchestration for Multi-cloud Environments
"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."
16 videos |
1h 20m
Assessment
Badge
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COURSES INCLUDED
Multi-cloud Load Balancing: Disaster Backup & Recovery
Traditionally, disaster backup and recovery involved backups being stored on special hardware such as tape and in multiple off-site locations. Disaster recovery often involved manual intervention and downtime. With cloud and multi-cloud configurations, new techniques take advantage of scalable resource, load balancing, and failover for easier replicated backup and disaster recovery while maintaining business continuity. In this course, you'll learn the history of disaster backup and recovery, both prior to the cloud and relating to cloud and multi-cloud. You'll learn how responsibilities are managed for disaster backup and recovery in the cloud, as well as how various large public cloud providers manage data backup. You'll explore how to configure disaster backup for the various public cloud providers, challenges of implementing cloud disaster backup and recovery, and application load balancing with multi-cloud. Finally, you'll learn how load balancing applies to data backup and recovery and contrast this with application load balancing.
14 videos |
1h 14m
Assessment
Badge
Considerations in Load Balancing: Multi-cloud Security Management
Securing a private data center has its challenges but it is made easier by the fact that single data centers are centralized. Cloud systems, on the other hand, expose a much larger risk surface, and this surface is only larger and more complex for multi-cloud and hybrid cloud environments. Today's cloud engineers and operators require more advanced knowledge of risk factors that are specific to various cloud configurations. In this course, you'll learn about cloud security challenges, vulnerabilities inherent in moving your organization to the cloud, and how to tailor operations in the cloud for resiliency. You will learn to create a virtual network in the Azure environment. You will also discover some of the repercussions of security failures in the cloud. Finally, you will learn about cloud backup and disaster recovery.
12 videos |
1h 15m
Assessment
Badge
Considerations in Load Balancing: Multi-cloud Data & Privacy Management
Data management has added complexity in today's multi-cloud and hybrid cloud architectures. Furthermore, managing compliance with data privacy is increasingly difficult. In this course, you'll learn the challenges of data privacy in multi-cloud architectures. You will also learn challenges and strategies for data protection in a hybrid cloud, including maintaining data integrity and availability and planning for disaster recovery. Then you will learn how security is maintained in a hybrid cloud environment. Finally, you'll learn about multi-cloud authentication and federated cloud.
9 videos |
55m
Assessment
Badge
Session Management in Multi-cloud & Hybrid Cloud Environments
As multi-cloud and hybrid cloud architectures become more popular, solutions such as service mesh promise to integrate widely distributed services. Today's cloud technology professional benefits from a well-rounded understanding of session management in multi-cloud and hybrid cloud environments. In this course, you'll learn how sessions are maintained in load balancing scenarios using sticky sessions, and what the benefits and challenges are of sticky sessions. You'll then explore best practices for load balancing in multi-cloud and hybrid cloud scenarios. Next, you'll examine common techniques for managing session information, including the JSON Web Token-based session management technique used by most cloud solutions. You'll learn the fundamentals of multi-cloud and hybrid-solutions, as well as how identity is managed in both multi-cloud and hybrid environments. Finally, you'll explore some modern strategies for identity management in multi-cloud and hybrid cloud environments, including service mesh and identity fabric.
13 videos |
1h 13m
Assessment
Badge
Solutions for Multi-Cloud Load Balancing: Multi-cloud Performance Monitoring
The complexities of multi-cloud environments can make it difficult to monitor and manage performance. Multi-cloud experts need to be able to monitor multi-cloud performance as well as tune that performance via strategies such as load balancing. Learn more about the importance of performance monitoring through this course. Examine performance challenges faced when moving to multi-cloud and how to monitor performance in a multi-cloud environment. You'll discover how load balancers can help manage performance, the performance data that can be gathered from a multi-cloud load balancer, and how to mitigate multi-cloud overload. This course will also help you delve into important load balancer metrics, configuring Azure Traffic Manager for geographical load balancing, and using Amazon Cloud Watch to monitor and publish metrics. After completing this course, you'll have a solid grasp of the basics of monitoring and managing consistent performance and load balancing across clouds.
13 videos |
1h 11m
Assessment
Badge
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EARN A DIGITAL BADGE WHEN YOU COMPLETE THESE COURSES
Skillsoft is providing you the opportunity to earn a digital badge upon successful completion on some of our courses, which can be shared on any social network or business platform.
Digital badges are yours to keep, forever.SKILL BENCHMARKS INCLUDED
CloudOps Awareness (Entry Level)
The CloudOps Awareness benchmark measures whether a learner has been exposed to basic CloudOps technologies. A learner who scores high on this benchmark demonstratrates an ability to identify gaps in their understanding, and use research tools to begin their learning journey in CloudOps.
11m
| 11 questions
CloudOps Competency (Intermediate Level)
The CloudOps Competency benchmark measures whether a learner has had some exposure and experience in cloud operations technologies, practices, and principles. A learner who scores high on this benchmark demonstratrates a knowledge of the major areas of cloud operations, across a variety of different cloud platforms and deployments, but requires input and oversight from a more advanced CloudOps expert.
22m
| 22 questions
CloudOps Literacy (Beginner Level)
The CloudOps Literacy benchmark measures whether a learner has some working knowledge and exposure in cloud operations technologies, practices, and principles. A learner who scores high on this benchmark demonstrates an ability to participate in technical discussions regarding CloudOps.
25m
| 25 questions
CloudOps Mastery (Expert Level)
The CloudOps Mastery benchmark measures whether a learner has extensive expertise in cloud operations technologies, practices, and principles. A learner who scores high on this benchmark demonstrates professional mastery in all of the major areas of cloud operations, across a variety of different cloud platforms and deployments.
31m
| 31 questions
CloudOps Proficiency (Advanced Level)
The CloudOps Proficiency benchmark measures whether a learner has had significant exposure and experience in cloud operations technologies, practices, and principles. A learner who scores high on this benchmark demonstratrates an independent knowledge of the major areas of cloud operations, across a variety of different cloud platforms and deployments.
28m
| 28 questions
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