Final Exam: CloudsOps Apprentice - classify the benefits of multi-cloud and hybrid cloud and identify the challenges faced by enterprises when transforming to hybrid and multi-cloud architectures
- compare physical and virtual clusters and define the concept of virtual clusters based on application partitioning
- compare the differences between hybrid, on-premises, and single cloud deployment solutions
- configure an instance for high availability in GCP
- configure a template that defines EC2 instances and use it to create an EC2 auto-scaling group
- configure hybrid cloud connectivity between AWS and on-premises environments
- create and configure AWS Outpost to run AWS services on-premises
- create a simple multi-cloud Docker cluster involving AWS and Azure using Docker Swarm
- define a path for successful DevOps transformation that can, in turn, help leverage the principles and practices of continuous integration and continuous delivery
- define the concept of a hybrid cloud and describe the key components of a hybrid cloud solution
- define the concept of clustering and outline the different cluster architectures that can be configured to support failover and load balancing in traditional deployments
- demonstrate the steps involved in configuring AWS to connect with other public cloud platforms
- deploy applications to multiple regions of high availability environment using the AWS Codepipeline to improve the latency and availability of application
- describe the basic principles of failover along with the features of real application clusters to implement in high availability systems
- describe the concept and characteristics of elasticity and scalability provided by cloud
- describe the data model, datasets, dataset fields, field types, categories and inheritance used to create reports
- describe the different types of automation approaches that can be adopted to build robust DevOps practices for solutioning complex applications with diversified integrations Â
- describe the features of Splunk that helps implement observability solution for CloudOps
- describe the key components of Splunk Search Processing Language that can be used to get expected outcomes from datasets
- identify the critical problems that can be eliminated by adopting DevOps principles and practices and in doing so, evolve the appropriate techniques for progression solution adoption
- identify the features of the prominent tools that are used for multi-cloud deployment, management and cost control
- identify the key components of Splunk Search Processing Language that can be used to get expected outcomes from datasets
- implement a pool of Docker hosts into a single virtual server to allow clustering with built-in Swarm orchestration
- list and compare the features of clustering topologies and name the critical cluster components used to manage enterprise applications
- list the cloud and container orchestration tools used to allocate virtual machines and containers for additional resource integration
- list the core products and developersâ tools provided by Splunk that can be used to collect data, index and implement visualization service for operational intelligence
- list the DevOps practices that help enterprises innovate faster through automation and the streamlining of software development and infrastructure management processes
- list the primary AWS services used for setting up operating models and implementing hybrid and multi-cloud solutions
- list the prominent benefits that are driving the growth of multi-cloud deployments along with the key considerations for planning multi-cloud deployments
- list the prominent tools that help set up, configure, and deploy applications in multi-cloud environments
- list the steps involved in hybrid cloud migration strategies that help realize the full potential of hybrid computing
- name the standard network topologies used for hybrid and multi-cloud setups that also apply cloud and CloudOps best practices
- outline the DevOps principles that guide implementation to achieve quicker and more reliable software development and delivery
- outline the primary multi-cloud operating model and strategies used to transition to the cloud and multi-cloud environments
- outline the process of enabling DevOps in a hybrid cloud environment
- recall the approach to transition from traditional multi-cloud deployment to secure CI/CD deployment
- recall the challenges of monitoring hybrid and multi-cloud environments along with the features afforded by prominent monitoring tools to address the challenges
- recall the CI/CD process used to implement continuous delivery and release of applications in single cloud environment
- recall the core DevOps principles that help define strategies for successful DevOps implementation
- recall the critical multi-cloud deployment challenges along with the CAMP and TOSCA principles that are applied to facilitate flexible multi-cloud deployments
- recall the critical use cases that illustrate the need for adopting a multi-cloud deployment strategy
- recall the different types of outages that need to be addressed using high availability solutions
- recall the different types of release management processes that help adapt to changing architectures and delivery processes Â
- recall the key cloud architecture patterns used to design high availability solutions and help avoid a single point of failure at each layer
- recall the key components of integrated solution design that can be used to manage and optimize the multi-cloud environment and administration of different environments
- recall the key considerations and mindset change required to build CloudOps pipelines for multi-cloud application deployment
- recall the key design considerations and benefits of setting up a multi-cloud disaster recovery process in AWS and Azure
- recall the prominent deployment strategies that can be adopted to plan deployment mechanism in the cloud
- recognize how Agile and Lean principles used in the DevOps lifecycle help build effective practices for enterprises to ensure effective governance in Ops-enabled full stack organizations Â
- recognize the benefits and pitfalls of implementing high availability deployment
- recognize the business challenges that drive enterprises to adopt hybrid cloud solutions
- recognize the capabilities of Splunk that help discover problems and use operational intelligence to gain insights for business productivity
- recognize the critical challenges faced by enterprises when implementing a hybrid cloud environment with DevOps practices
- recognize the features of the prominent tools that are used for multi-cloud deployment, management and cost control
- recognize the role of container orchestration in implementing CI/CD pipelines
- recognize the role of virtual machines and cluster virtualization in data centers and name prominent clustered environment resource managers
- recognize the various flavours of Splunk along with the benefits of using Splunk cloud
- recognize the various multi-cloud architecture designs that form part of an effective cloud deployment strategy
- set up monitoring tools to monitor solutions deployed in hybrid environments
- use the Data Model Editor to design new data model, add root event dataset and root search dataset to the data model
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