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Future Applications in DevOps

Future Applications in DevOps

$251.00
When you get access:
Course access is prepared after purchase and delivered via email
How you learn:
Self-paced • Lifetime updates
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30-day money-back guarantee — no questions asked
Toolkit Included:
Includes a practical, ready-to-use toolkit containing implementation templates, worksheets, checklists, and decision-support materials used to accelerate real-world application and reduce setup time.
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What does the Future Applications in DevOps course cover?

Future Applications in DevOps is covered here in 8 modules: Strategic Integration of DevOps in Enterprise Architecture, Infrastructure as Code at Scale, Continuous Delivery Pipeline Design and 5 more. The outline lists 48 specific topics, opening with selecting integration points between legacy mainframe systems and modern CI/CD pipelines without disrupting batch processing windows.

How do you approach Future Applications in DevOps step by step?

The work is sequenced in 8 stages. It starts with Strategic Integration of DevOps in Enterprise Architecture, moves through Infrastructure as Code at Scale and Continuous Delivery Pipeline Design, and ends at Emerging Technologies and Future Patterns. Each stage carries its own topic list, so the sequence is followed rather than summarised.

What is in Module 1 of the Future Applications in DevOps course?

Module 1 is Strategic Integration of DevOps in Enterprise Architecture. It works through selecting integration points between legacy mainframe systems and modern CI/CD pipelines without disrupting batch processing windows., defining ownership boundaries between platform engineering and application development teams when provisioning standardized environments., aligning DevOps rollout phases with enterprise change advisory board (CAB) approval cycles for regulated workloads. and 3 more.

How is the Future Applications in DevOps course delivered?

The Future Applications in DevOps course is fully self-paced with immediate online access after enrolment. Access does not expire and future updates are included at no cost. It can be taken on any device, and a certificate of completion is issued by The Art of Service when you finish.

How much does the Future Applications in DevOps course cost?

The Future Applications in DevOps course is $247 as a one time payment. There is no subscription, no per seat licence and no hidden fee. Enrolment carries a 30 day satisfied or refunded guarantee, so it can be assessed in full before you commit.

Closely related courses: DevOps Applications Toolkit, Software Applications in DevOps, Enterprise Applications in DevOps, Cloud Native Applications in DevOps.

More answers: what you get with every course, refund policy, all help answers.

This curriculum spans the technical and organizational challenges addressed in multi-workshop advisory engagements for enterprises modernizing their DevOps practices, covering the same scope of decisions faced during large-scale internal platform rollouts and cross-team transformation programs.

Module 1: Strategic Integration of DevOps in Enterprise Architecture

  • Selecting integration points between legacy mainframe systems and modern CI/CD pipelines without disrupting batch processing windows.
  • Defining ownership boundaries between platform engineering and application development teams when provisioning standardized environments.
  • Aligning DevOps rollout phases with enterprise change advisory board (CAB) approval cycles for regulated workloads.
  • Negotiating API contract ownership between backend platform teams and frontend product squads during service mesh adoption.
  • Implementing feature flag governance for production rollouts in multi-region applications with compliance constraints.
  • Deciding whether to extend existing SOA governance policies or create new DevOps-specific policies for microservices.

Module 2: Infrastructure as Code at Scale

  • Choosing between Terraform and AWS CloudFormation for multi-account VPC peering with centralized networking teams.
  • Managing state file locking and drift detection across distributed teams using shared Terraform backends.
  • Implementing policy-as-code with Open Policy Agent (OPA) to enforce tagging standards in production environments.
  • Designing module versioning and deprecation workflows for reusable IaC components across business units.
  • Handling secrets injection in IaC pipelines when integrating with on-prem HSMs for key management.
  • Structuring environment promotion (dev → staging → prod) using parameterized templates without hardcoding values.

Module 3: Continuous Delivery Pipeline Design

  • Configuring canary analysis thresholds in Spinnaker for applications with variable traffic patterns across time zones.
  • Integrating static application security testing (SAST) tools into pull request pipelines without increasing feedback latency.
  • Designing pipeline rollback mechanisms that preserve audit trails for SOX-compliant applications.
  • Selecting artifact repository retention policies based on deployment frequency and storage cost constraints.
  • Orchestrating blue-green deployments for stateful applications with database schema migration dependencies.
  • Implementing pipeline concurrency limits to prevent resource starvation in shared Kubernetes clusters.

Module 4: Observability and Production Intelligence

  • Configuring distributed tracing sampling rates to balance cost and diagnostic fidelity in high-throughput systems.
  • Correlating application logs with infrastructure metrics during outage triage across hybrid cloud environments.
  • Defining SLOs and error budgets for internal APIs consumed by multiple client teams with varying reliability needs.
  • Managing log data retention tiers based on regulatory requirements and operational debugging needs.
  • Integrating business KPIs (e.g., transaction success rate) into monitoring dashboards without overloading engineering teams.
  • Reducing alert fatigue by implementing dynamic thresholds and alert grouping rules in multi-service systems.

Module 5: Security and Compliance Automation

  • Embedding compliance checks into CI/CD pipelines for workloads subject to HIPAA or PCI-DSS requirements.
  • Automating vulnerability scanning of container images while minimizing false positives in third-party dependencies.
  • Implementing just-in-time (JIT) access for production debugging that satisfies both security and incident response needs.
  • Managing certificate rotation for internal services using automated tooling without disrupting dependent consumers.
  • Designing immutable server patterns that prevent runtime configuration drift in audit-sensitive environments.
  • Integrating runtime application shielding (RASP) into containerized workloads without introducing performance overhead.

Module 6: Platform Engineering and Internal Developer Platforms

  • Defining self-service APIs for environment provisioning while maintaining network segmentation requirements.
  • Choosing between building an in-house developer portal or integrating Backstage with existing tooling.
  • Standardizing deployment manifests across teams using opinionated Helm chart templates with escape hatches.
  • Implementing cost attribution for Kubernetes namespaces to enable chargeback models across departments.
  • Automating onboarding workflows for new development teams using templated Git repositories and RBAC roles.
  • Managing version skew between platform services and application runtime dependencies during upgrades.

Module 7: Organizational Change and DevOps Transformation

  • Redesigning performance metrics for operations teams transitioning from uptime-focused to deployment-frequency KPIs.
  • Facilitating blameless postmortems in hierarchical organizations where incident reporting exposes systemic risks.
  • Aligning budget cycles with iterative delivery models when infrastructure funding is allocated annually.
  • Resolving conflicts between development velocity and change control requirements in regulated departments.
  • Establishing cross-functional guilds to share DevOps practices without creating centralized bottlenecks.
  • Measuring cultural adoption of DevOps practices using behavioral indicators instead of tooling usage metrics.

Module 8: Emerging Technologies and Future Patterns

  • Evaluating GitOps for edge computing deployments with intermittent connectivity to central repositories.
  • Integrating AI-assisted code generation tools into CI pipelines while maintaining code ownership and review standards.
  • Designing serverless architectures with cold start implications for latency-sensitive financial transactions.
  • Implementing service mesh sidecar injection in multi-tenant clusters with resource isolation requirements.
  • Adopting WebAssembly (Wasm) for lightweight extensions in proxy layers without compromising security boundaries.
  • Testing chaos engineering scenarios in quantum-ready applications where state replication differs from classical models.
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