Cloud (Online Courses)
Elevate your career trajectory with our premier online course, designed to sharpen your competitive edge. Explore our curated selection of top-tier digital programs to hone your skills and propel your professional journey forward. Experience transformative learning tailored to empower your career advancement in today's dynamic landscape.
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This Course Includes
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42 hours 35 minutesof self-paced video lessons -
35 Programscrafting your path to success -
Completion Certificateawarded on course completion
Administration Tasks: Adopting the Right Standards for IT Automation
Price on Request
1 hour 5 minutes
An automated IT delivery cycle can have a significant impact on IT management and monitoring. In this course, you'll recognize the most suitable tasks and processes for automation, examining the role of process, robotic process, and service automation in building value streams for end-to-end Enterprise IT delivery. Next, you'll identify the benefits of implementing process-aware information systems and how to enable flexible and robust business process automation for agile enterprises. You'll indicate the key considerations when setting up multiplatform automation systems, and the relationships, dependencies, and automation policies for deriving reference automation clusters. You'll move on to recognize the role of a DevOps workflow in fulfilling the digital economy's demands and the prominent tools used to facilitate automation environments. Finally, you'll learn how to set up an end-to-end automation environment for a DevOps-driven delivery mechanism.
Perks of Course
Certificate: Yes
CPD Points: 65
Compliance Standards: AICC
Administration Tasks: Practical Automation Using Tools
Price on Request
1 hour
To exploit IT automation fully, support engineers must know how to identify and use the correct processes and tools. In this course, you'll leverage design thinking in enterprise automation strategy, examining the role of scripting languages and protocols, the considerations when selecting automation tools and scripts, and the targets to configure for automated notifications and alerts. Next, you'll learn how to write batch files to automate repetitive tasks, set up automation environments for command-line tasks, and write Bash scripts to automate Git workflows. Finally, you'll practice how to automate builds with Jenkins on Ubuntu and share artifacts in the Artifactory repository. You'll learn how to automate AWS EC2 instance provisioning, configure mail servers to generate automated emails, and use cloud-based email services for automation.
Perks of Course
Certificate: Yes
CPD Points: 58
Compliance Standards: AICC
Advanced CloudOps Deployments: CI/CD in CloudOps
Price on Request
1 hour 30 minutes
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.
Perks of Course
Certificate: Yes
CPD Points: 89
Compliance Standards: AICC
Advanced CloudOps Deployments: Deploying Multi-cloud Environments
Price on Request
1 hour 10 minutes
Aspiring cloud engineers need to know how to select and use hybrid and multi-cloud deployment management services. In this course, you'll explore the AWS services for implementing hybrid and multi-cloud solutions and other multi-cloud environment application deployment tools. You'll configure AWS Outpost to run AWS services on-premises, Azure Arc to build hybrid deployment environments, and AWS, Azure, and GCP to connect with other public cloud platforms. You'll use AWS and Azure to set up dual or multi-cloud deployment environments. You'll examine how to back up multi-cloud environments and overcome disaster recovery challenges. Next, you'll configure Aviatrix networking software for an AWS multi-cloud network and LiveData for multi-cloud environment backup. Lastly, you'll use Terraform with VPNs to create secure, private, site-to-site connections between Google Cloud Platform and AWS.
Perks of Course
Certificate: Yes
CPD Points: 69
Compliance Standards: AICC
Advanced CloudOps Deployments: Hybrid & Multi-cloud Scenarios
Price on Request
55 minutes
Aspiring cloud engineers need to move beyond working with single platform deployments, such as on-prem and cloud, to more complicated scenarios, such as hybrid and multi-cloud deployments. In this course, you'll explore the benefits of multi-cloud and hybrid cloud, common scenarios involving hybrid and multi-cloud deployment, and the multi-cloud DevOps framework for managing multi-cloud distributed environments. You'll examine best practices for achieving multi-platform deployment and the driving hybrid and multi-cloud design principles to set up multi-cloud environments. You'll also outline hybrid and multi-cloud deployment and architectural patterns, network topologies used to set up hybrid and multi-cloud environments, and approaches to adopting multi-cloud management. Lastly, you'll identify a multi-cloud operating model and outline techniques to transition to cloud and multi-cloud environments and troubleshoot application distribution issues in multi-cloud environments.
Perks of Course
Certificate: Yes
CPD Points: 54
Compliance Standards: AICC
Building Multi-cloud Deployments: Deploying Environments
Price on Request
1 hour 15 minutes
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.
Perks of Course
Certificate: Yes
CPD Points: 77
Compliance Standards: AICC
Building Multi-cloud Deployments: Managing Environments
Price on Request
1 hour 25 minutes
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.
Perks of Course
Certificate: Yes
CPD Points: 87
Compliance Standards: AICC
Cloud Release Management: Implementing Release Applications
Price on Request
1 hour
As part of your role as a DevOps technical support engineer, you'll need to work with popular applications to carry out release management in the cloud. In this course, you'll explore the solutions and services provided by AWS, Azure, and Google Cloud Platform to enable stable and scalable releases. You'll recognize the differences between releases on-premise and in the cloud and examine the deployment and release management workflows adopted in hybrid environments and the hybrid solution features that help deliver consistent release experiences. Next, you'll create automated continuous integration and release management workflows using AWS, plan releases using AWS CodeStar, and automate deployments to release enterprise applications. You'll configure Azure DevOps Server to automate the deployment of applications in the cloud and use the Deployment Manager to manage deployments and release cycles. Finally, you'll configure IncrediBuild Hybrid Cloud to enable automatic releases.
Perks of Course
Certificate: Yes
CPD Points: 62
Compliance Standards: AICC
Cloud Release Management: Managing Productive Release
Price on Request
1 hour
Release Management is much bigger than just source control and CI/CD. As an aspiring DevOps technical support engineer, it's critical to recognize the importance and function of release management and its application in the cloud. In this course, you'll explore the release management cycle and define key release management terms, metrics, and KPIs. You'll distinguish release management implementation with and without cloud and recognize best practices for designing release management processes. Next, you'll outline the DevOps lifecycle used to define release management pipelines. You'll then compare the differences between deployment and release and recognize the impact of the release management process on CI/CD. Finally, you'll explore application release automation and identify application release automation solutions for configuring an automated release process.
Perks of Course
Certificate: Yes
CPD Points: 61
Compliance Standards: AICC
Cloud Run and Compute Services: Establishing a Compute & Run Environment
Price on Request
55 minutes
An aspiring operations DevOps engineer needs to understand where their deployments run and how "run" platforms differ from server-executed platforms. In this course, you'll recall the deployment models and software components used to manage server-based applications and middleware. You'll list the compute/run services used to provide runtime environments and manage applications. You'll explore the popular cloud provider services to set up compute environments and outline a workflow to select the appropriate compute/run service. You'll also recognize the benefits of using a hybrid cloud to manage compute/run environments for application deployment. Next, you'll distinguish compute and run platforms that are configured in on-premises, cloud, and hybrid environments, the compute/run services provided by AWS, Azure, and GCP, and the benefits of using edge cloud architecture to manage compute/run environments and workloads. Finally, you'll set up a compute/run environment using Amazon Lightsail and use the gcloud compute command-line to set up and manage Compute Engine.
Perks of Course
Certificate: Yes
CPD Points: 56
Compliance Standards: AICC
Cloud Solutions: Supporting Cloud Operations
Price on Request
1 hour 20 minutes
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.
Perks of Course
Certificate: Yes
CPD Points: 79
Compliance Standards: AICC
Comparing Multi-cloud Load Balancing Solutions: Load Balancer Vendors
Price on Request
40 minutes
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.
Perks of Course
Certificate: Yes
CPD Points: 40
Compliance Standards: AICC
Considerations in Load Balancing: Multi-cloud Data & Privacy Management
Price on Request
55 minutes
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.
Perks of Course
Certificate: Yes
CPD Points: 55
Compliance Standards: AICC
Considerations in Load Balancing: Multi-cloud Security Management
Price on Request
1 hour 15 minutes
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.
Perks of Course
Certificate: Yes
CPD Points: 75
Compliance Standards: AICC
Explainability for Cloud Deployments: Applying Explainability in CloudOps
Price on Request
1 hour 30 minutes
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.
Perks of Course
Certificate: Yes
CPD Points: 89
Compliance Standards: AICC
High-availability Cloud Deployments: Designing High-availability Solutions
Price on Request
1 hour 25 minutes
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.
Perks of Course
Certificate: Yes
CPD Points: 87
Compliance Standards: AICC
High-availability Cloud Deployments: Implementing High-availability Solutions
Price on Request
1 hour 25 minutes
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.
Perks of Course
Certificate: Yes
CPD Points: 86
Compliance Standards: AICC
Hybrid Environment Pipelines: Hybrid Cloud Transformation
Price on Request
1 hour
Hybrid cloud solutions offer many benefits to growing enterprises. As a CloudOps engineer, you will likely face the challenge of successfully deploying a hybrid cloud solution. In this course, you'll explore the core components of a hybrid cloud solution, the business challenges driving their adoption, and how to develop roadmaps to achieve them. You'll identify the main pillars of hybrid cloud applications and the differences between hybrid, on-premises, and single cloud deployment solutions. You'll also examine considerations when deploying middleware using hybrid cloud solutions. Next, you'll outline a hybrid cloud migration strategy and the hybrid integration reference architecture. You'll name the cloud vendors providing end-to-end or elements of hybrid cloud solutions. Lastly, you'll compare the capabilities of the hybrid cloud solutions offered by AWS, Azure, Intel, and IBM.
Perks of Course
Certificate: Yes
CPD Points: 59
Compliance Standards: AICC
Multi-cloud Load Balancing: Designing Multi & Hybrid Cloud Solutions
Price on Request
1 hour 25 minutes
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.
Perks of Course
Certificate: Yes
CPD Points: 83
Compliance Standards: AICC
Multi-cloud Load Balancing: Disaster Backup & Recovery
Price on Request
1 hour 15 minutes
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.
Perks of Course
Certificate: Yes
CPD Points: 74
Compliance Standards: AICC
Multi-cloud Load Balancing: Load Balancing Design Strategies
Price on Request
1 hour 30 minutes
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.
Perks of Course
Certificate: Yes
CPD Points: 90
Compliance Standards: AICC
Multi-cloud Load Balancing: Principles of Load Balancing
Price on Request
1 hour 30 minutes
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.
Perks of Course
Certificate: Yes
CPD Points: 90
Compliance Standards: AICC
Redundant CloudOps Solution Design: Managing Multi-cloud Redundancy
Price on Request
1 hour 30 minutes
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.
Perks of Course
Certificate: Yes
CPD Points: 91
Compliance Standards: AICC
Redundant CloudOps Solution Design: Redundancy Principles
Price on Request
1 hour 15 minutes
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.
Perks of Course
Certificate: Yes
CPD Points: 73
Compliance Standards: AICC
Scripting Automation: Adopting an Automation Mindset
Price on Request
1 hour
Learn how to adopt the automation first mindset and transition from a task-oriented support engineer to a more design and automation-oriented mindset. In this course, you'll explore the concept of an automation mindset and the benefits that enterprises can realize by adopting an automation first mindset. You'll examine the pros and cons of automation and the principles for adopting an automation first approach. Next, you'll learn the process for instilling an automation mindset, the role of design thinking in deriving and enabling an effective automation mindset and digital transformation, and how to apply the automation mindset to automate projects. You'll explore the operational KPIs for tracking and implementing continuous improvement, IT tasks that can be automated, and the evolution of software in Automated Production Systems, and the process of deriving Automated Production Systems. Finally, you'll learn about the "Who will do it" and "How can we get this done most efficiently" approaches and the best practices for building productive DevOps CI/CD automation pipelines.
Perks of Course
Certificate: Yes
CPD Points: 60
Compliance Standards: AICC
Scripting Automation: Major Automation Technologies for Support Engineers
Price on Request
1 hour 30 minutes
There is a range of automation technologies available to the support engineer. In this course, you'll explore the features of key scripting languages, common DevOps automation tools, platform automation tool features, and the key areas that system management tools should address. You'll learn about the features of Foreman and how to use Bash, Python, Ruby, and Shell scripts to automate interactions with infrastructures that are hosted on AWS and Azure. Finally, you'll see how to work with Puppet and Chef, create Ansible Playbooks and Salt formulas to automate creating resources and installing web servers, install Foreman, and work with Foreman UI features.
Perks of Course
Certificate: Yes
CPD Points: 75
Compliance Standards: AICC
Scripting Automation: Scripting for Support Engineers
Price on Request
1 hour 15 minutes
Script automation involves the use of automation software to leverage the current scripts within your framework. In this course, you'll explore the benefits of Infrastructure as a Code and Configuration as a Code, the role of Python in configuring AWS resources, and the automation capabilities of Azure. You'll learn about the differences between PowerShell runbooks and PowerShell Workflow runbooks, how to install Python for AWS to manage AWS S3 buckets, and write Python code to retrieve AWS EC2 information and manage AWS S3 buckets. Next, you'll examine how to set up automated deployments in AWS and create an Azure Automation account. Finally, you'll learn how to create and publish PowerShell runbooks, create Python runbooks to start Azure VMs, execute scripts using Bash Interpreter in Chef, and use Chef Recipes to run scripts and handle configuration changes in AWS.
Perks of Course
Certificate: Yes
CPD Points: 73
Compliance Standards: AICC
Session Management in Multi-cloud & Hybrid Cloud Environments
Price on Request
1 hour 15 minutes
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.
Perks of Course
Certificate: Yes
CPD Points: 73
Compliance Standards: AICC
Solutions for Multi-cloud Load Balancing: Load Balancing Kubernetes Solutions
Price on Request
1 hour 45 minutes
Kubernetes is the de facto standard orchestration technology for containerized workloads. The Kubernetes networking model is implemented using network plugins that adhere to the Container Network Interface specification designed for interoperability. In this course, you'll explore Kubernetes clusters and examine the various components and objects that make up a typical Kubernetes cluster. You'll explore the challenges commonly encountered with Kubernetes load balancing scenarios and Kubernetes services. Next, you'll learn to analyze how Kubernetes networking and services incorporate load balancing and how Kubernetes Ingress integrates load balancing in various real-world scenarios. You'll learn how to work with real a Kubernetes cluster by installing and then bootstrapping a real Kubernetes cluster. Lastly, you'll gain experience with network traffic management in Kubernetes by configuring Pod distribution, applying network policies, and configuring Kubernetes Ingress.
Perks of Course
Certificate: Yes
CPD Points: 107
Compliance Standards: AICC
Solutions for Multi-cloud Load Balancing: Load Balancing with Docker
Price on Request
1 hour 25 minutes
Docker Swarm provides all the tools necessary to spin up Docker Swarm clusters with relative ease. It is also readily available, being integrated directly into Docker Engine, which means Docker itself now provides orchestration. Docker Swarm's routing mesh networking model is excellent. But it lacks availability, visibility, security and control that more complex, production deployments require, so some help is needed to fill in the missing components. In this course, you'll explore Docker components and objects, as well as how Docker deployments differ from traditional deployments, with a focus on the microservices architecture afforded by Docker's container technology. You'll also learn how microservice architecture has changed load balancing deployments. Next, you'll investigate fully versus self-managed cloud services, Docker load balancing scenarios including Docker Swarm, NGINX open-source load balancing, and using an external edge router in a Docker Swarm cluster. Finally, you'll learn how to install Docker and configure load balancing for various example scenarios.
Perks of Course
Certificate: Yes
CPD Points: 85
Compliance Standards: AICC
Solutions for Multi-Cloud Load Balancing: Multi-cloud Performance Monitoring
Price on Request
1 hour 10 minutes
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.
Perks of Course
Certificate: Yes
CPD Points: 71
Compliance Standards: AICC
The Skilled CloudOps Engineer: Roles & Responsibilities
Price on Request
1 hour 5 minutes
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.
Perks of Course
Certificate: Yes
CPD Points: 64
Compliance Standards: AICC
The Skilled CloudOps Engineer: Transforming to a CloudOps Engineer
Price on Request
1 hour 5 minutes
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.
Perks of Course
Certificate: Yes
CPD Points: 65
Compliance Standards: AICC
Version & Source Control: Basics
Price on Request
1 hour
To work as a DevOps technical support engineer, you need a basic understanding of the growing number of version and source control tools. In this course, you'll explore the history of source control systems, examine how project management without source control differs from PM with source control, and recognize the control mechanisms used by Dev and Ops teams when working with control systems. You'll then identify the different types of source control systems and when to use them, and distinguish between cloud and cloudless version control systems. Next, you'll recognize the best practices for implementing version control in DevOps, and how to improve and measure the effectiveness of source control systems. Finally, you'll list the features of a source code repository and the primary source code repository providers.
Perks of Course
Certificate: Yes
CPD Points: 60
Compliance Standards: AICC
Version & Source Control: Working With Source Control Tools
Price on Request
55 minutes
While aspiring DevOps engineers may have a background in support, they often lack exposure to the standard tools used for specific development support tasks, such as source control. In this course, you'll identify the essential features and purposes of prominent source control tools and the technical support-related situations in which to avail of them. Specifically, you'll learn to install, set up, and work with Git, GitLab, Beanstalk, Apache Subversion, AWS CodeCommit, Azure DevOps Server, Concurrent Versions System, and IBM Rational Team Concert. You'll use these tools to share and manage code and repositories, collaborate and track work, and ship applications.
Perks of Course
Certificate: Yes
CPD Points: 55
Compliance Standards: AICC