Dell Cloud Service Design D-CS-DS-23

Service Design

Design and manage cloud services from initial concept through end-of-life — covering IT transformation, multi-cloud strategy, cloud-native applications, and business resiliency for modern enterprises.

Cloud-native Apps Multi-cloud Strategy 12-Factor Apps Infrastructure as Code Value Stream Mapping Cloud Operating Model Business Resiliency Workforce Transformation DevOps Service Lifecycle

What You Will Learn

Seven Cloud Service Design Modules

From IT transformation strategy through cloud-native architecture and business resiliency — design cloud services that scale with your organisation.

Module 01

Transforming Traditional IT to Digital IT

›Describe the need for IT transformation and common IT transformation initiatives
›Approaches and impediments to IT transformation — agile, DevOps, cloud-first strategies
›Comparing traditional IT operating model vs digital IT product-centric model

Module 02

Cloud Services Lifecycle and Management

›Cloud services planning and design considerations — functional and non-functional requirements
›Cloud service lifecycle — concept, design, build, deploy, operate, retire phases
›Relevant aspects of financial planning — CapEx to OpEx shift, TCO, and showback/chargeback

Module 03

Workforce Transformation for Cloud Services

›Approaches to building a cloud-native organisation — cross-functional product teams
›Required cultural transformations — collaboration, psychological safety, continuous learning
›Required governance and risk management — policy frameworks, compliance, and accountability

Module 04

Multi-cloud Strategy for Cloud Services

›Describe and compare hybrid clouds and multi-clouds — differences and trade-offs
›Benefits and use cases of multi-clouds — vendor flexibility, cost optimisation, and resilience
›Considerations and best practices for multi-cloud integration — networking, identity, and governance

Module 05

Cloud Services Operating Model

›Describe and compare traditional IT and digital IT operating philosophies
›Cloud product development considerations — epics, user stories, backlogs
›Infrastructure as Code (IaC) — declarative vs imperative, Terraform, Ansible, and GitOps
›Value stream mapping — identifying waste, optimising flow, and measuring lead time

Module 06

Cloud-native Applications

›Benefits, challenges, and approaches to modernising traditional applications
›Key approaches to build cloud-native apps — containers, microservices, serverless
›Development principles of the Twelve-Factor App methodology
›Deploying and managing cloud-native apps in hybrid and multi-cloud environments

Module 07

Business Resiliency for Cloud Services

›Business resiliency and development considerations — RTO, RPO, and SLA alignment
›Develop a data protection strategy — backup, replication, and snapshot policies
›Develop a disaster recovery strategy — active-passive, active-active, and pilot light

Full Curriculum

7-Module D-CS-DS-23 Programme

End-to-end cloud service design curriculum from IT transformation through multi-cloud strategy, cloud-native apps, and business resiliency.

›Describe the need for IT transformation — competitive pressures, agility demands, and cost reduction
›Common IT transformation initiatives — cloud adoption, DevOps adoption, and infrastructure modernisation
›Approaches to IT transformation — waterfall to agile, monolith to microservices, project to product
›Impediments to IT transformation — organisational silos, skill gaps, legacy systems, and cultural resistance

›Cloud services planning — business case development, requirements gathering, and feasibility assessment
›Cloud service design considerations — scalability, availability, security, and compliance requirements
›Cloud service lifecycle phases — concept, design, transition, operation, and retirement
›Financial planning — CapEx vs OpEx trade-offs, TCO analysis, showback, and chargeback models
›SLA design and management — availability targets, performance metrics, and penalty clauses

›Building a cloud-native organisation — cross-functional squads, tribes, and guilds model
›Required cultural transformations — growth mindset, blameless culture, and continuous experimentation
›Governance and risk management — cloud policy frameworks, guardrails, and self-service within boundaries
›Change management strategies — training programs, centres of excellence, and cloud champions programs

›Hybrid cloud vs multi-cloud — architectural differences, connectivity, and management trade-offs
›Benefits of multi-cloud — avoiding vendor lock-in, cost optimisation, geographic coverage, and resilience
›Use cases for multi-cloud — disaster recovery, data residency, best-of-breed service selection
›Multi-cloud integration considerations — identity federation, network connectivity, data portability, and governance
›Best practices — cloud broker tools, consistent security posture, and unified observability across clouds

›Traditional IT vs Digital IT operating model — ticket-based vs product-led service delivery
›Cloud product development — backlog management, sprint ceremonies, and continuous delivery pipelines
›Infrastructure as Code (IaC) — declarative (Terraform, CloudFormation) vs imperative (Ansible, Chef) approaches
›Value stream mapping — current state vs future state, lead time analysis, and waste elimination techniques
›Site Reliability Engineering (SRE) — SLOs, error budgets, and reducing toil through automation

›Application modernisation approaches — re-host, re-platform, re-factor, re-architect, and retire
›Cloud-native app characteristics — loosely coupled, independently deployable, observable, and resilient
›Twelve-Factor App methodology — codebase, dependencies, config, backing services, build/release/run
›Container technologies — Docker image lifecycle, Kubernetes deployments, Helm charts, and service mesh
›Deploying in hybrid/multi-cloud — Kubernetes federation, ArgoCD GitOps, and policy enforcement with OPA

›Business resiliency considerations — RTO, RPO, MTTR, and MTBF targets aligned to SLAs
›Data protection strategy — backup schedules, retention policies, immutable backups, and offsite replication
›Disaster recovery strategy design — pilot light, warm standby, active-active, and multi-region failover
›Testing resiliency — chaos engineering principles, game days, and DR drills
›Post-incident reviews — blameless post-mortems, root cause analysis, and systemic improvement

Live Training

Live Instructor

Mon–Fri · Weekend batches

Recording

Live class recording included

30 Days

1.5 hrs/day weekday · 3 hrs weekend

Course Materials

Study notes and resources

Tech Support

Call / WhatsApp support

Working Hours

Mon–Fri · 9 AM – 6 PM

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Service Design

Seven Cloud Service Design Modules

7-Module D-CS-DS-23 Programme

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