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API Lifecycle Management in DevOps

API Lifecycle Management in DevOps

$251.00
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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30-day money-back guarantee — no questions asked
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Self-paced • Lifetime updates
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What does the API Lifecycle Management in DevOps course cover?

API Lifecycle Management in DevOps is covered here in 8 modules: Strategic API Governance and Portfolio Planning, API Design and Specification-First Development, Secure API Implementation and Identity Management and 5 more. The outline lists 48 specific topics, opening with define domain boundaries for API ownership across business units to prevent duplication and enforce accountability in a multi-team environment.

How do you approach API Lifecycle Management in DevOps step by step?

The work is sequenced in 8 stages. It starts with Strategic API Governance and Portfolio Planning, moves through API Design and Specification-First Development and Secure API Implementation and Identity Management, and ends at Scalability, Resilience, and Disaster Recovery. Each stage carries its own topic list, so the sequence is followed rather than summarised.

What is in Module 1 of the API Lifecycle Management in DevOps course?

Module 1 is Strategic API Governance and Portfolio Planning. It works through define domain boundaries for API ownership across business units to prevent duplication and enforce accountability in a multi-team environment., select between product-led and capability-led API taxonomy models based on organizational maturity and integration demand., establish API deprecation policies with SLA-backed sunset timelines, including client notification workflows and backward compatibility thresholds.

How is the API Lifecycle Management in DevOps course delivered?

The API Lifecycle Management 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 API Lifecycle Management in DevOps course cost?

The API Lifecycle Management in DevOps course is $251 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: API Lifecycle Management in Application Development, API Lifecycle Management in Software Development Dataset, API Lifecycle Management and Architecture Modernization, GEN 9061 Secure API Lifecycle Management Regulated.

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

This curriculum spans the breadth of a multi-workshop API governance and DevOps integration program, addressing the same technical and organizational challenges encountered in large-scale internal capability builds, from design and security to runtime management and cross-team coordination.

Module 1: Strategic API Governance and Portfolio Planning

  • Define domain boundaries for API ownership across business units to prevent duplication and enforce accountability in a multi-team environment.
  • Select between product-led and capability-led API taxonomy models based on organizational maturity and integration demand.
  • Establish API deprecation policies with SLA-backed sunset timelines, including client notification workflows and backward compatibility thresholds.
  • Implement centralized API inventory tracking using metadata standards (e.g., OpenAPI, AsyncAPI) to enable discovery and compliance auditing.
  • Enforce API naming and versioning conventions at the architectural review board level to ensure consistency across platforms.
  • Balance internal vs. external API exposure strategies by assessing security risk, rate of change, and client dependency management.

Module 2: API Design and Specification-First Development

  • Require OpenAPI 3.0+ specifications as a prerequisite for sprint planning, blocking backend development until design is peer-reviewed.
  • Standardize error payload structures across APIs to enable consistent client-side error handling and logging.
  • Resolve conflicting resource modeling approaches (e.g., REST vs. RPC) by applying domain-driven design principles in cross-functional workshops.
  • Integrate API linters (e.g., Spectral) into CI pipelines to enforce design rules and prevent specification drift.
  • Negotiate payload schema evolution strategies with consuming teams, including support for optional fields and schema versioning in headers.
  • Document and socialize rate limiting and quota policies during design phase to align client expectations and avoid rework.

Module 3: Secure API Implementation and Identity Management

  • Choose between JWT and opaque tokens based on token introspection requirements, revocation needs, and downstream service trust boundaries.
  • Implement mutual TLS for service-to-service communication in zero-trust environments, managing certificate lifecycle via automation.
  • Configure OAuth 2.1 scopes with least-privilege access patterns, mapping them to backend role-based access controls.
  • Integrate secrets management tools (e.g., HashiCorp Vault) into deployment pipelines to avoid hardcoded credentials in API configurations.
  • Enforce request signing for high-risk APIs exposed to third parties, validating cryptographic signatures at the gateway layer.
  • Conduct threat modeling sessions for each new API, documenting risks such as injection, data leakage, and excessive data exposure.

Module 4: CI/CD Integration and Automated Testing

  • Embed contract testing (e.g., Pact) in pull request pipelines to validate backward compatibility before merging changes.
  • Orchestrate parallel deployment of API gateways and backend services using blue-green patterns to minimize downtime.
  • Gate production promotions based on performance regression thresholds measured in automated load tests against the API specification.
  • Synchronize API documentation updates with versioned deployments using automated generation from source-annotated code.
  • Manage environment-specific configuration (e.g., endpoints, credentials) through externalized config stores, not code.
  • Implement canary analysis using real traffic metrics (latency, error rates) to determine success of incremental rollouts.

Module 5: API Gateway and Runtime Management

  • Configure rate limiting and quota enforcement at the gateway level using distributed counters to prevent abuse across clusters.
  • Route legacy API versions to decommissioned services using gateway-level redirection rules during phased sunsetting.
  • Offload cross-cutting concerns (e.g., logging, CORS, request transformation) to gateway policies to reduce backend complexity.
  • Deploy gateway instances in multiple regions to reduce latency, synchronizing configuration via GitOps workflows.
  • Integrate gateway logs with centralized observability platforms using structured logging formats for correlation.
  • Manage certificate rotation for custom domains at scale using automation integrated with DNS and certificate authorities.

Module 6: Observability, Monitoring, and Analytics

  • Instrument APIs with distributed tracing (e.g., OpenTelemetry) to diagnose latency across service boundaries.
  • Define SLOs for API reliability (e.g., 99.95% success rate) and configure alerting on error budget burn rates.
  • Aggregate and analyze API usage patterns by client, region, and endpoint to inform capacity planning and deprecation decisions.
  • Correlate backend errors with specific API operations using unique request identifiers propagated across services.
  • Balance data retention policies for logs and metrics against cost and compliance requirements, applying tiered storage strategies.
  • Expose self-service analytics dashboards to API product owners, limiting data access based on role and sensitivity.

Module 7: Change Management and Consumer Collaboration

  • Operate an API change advisory board to review breaking changes and coordinate rollout timelines with key consumers.
  • Provide sandbox environments with mock data for external developers to test integrations without production access.
  • Implement a developer portal with versioned documentation, interactive consoles, and changelog feeds for transparency.
  • Negotiate SLAs with internal clients for uptime, support response times, and incident communication protocols.
  • Track consumer adoption metrics to identify underutilized APIs and prioritize rationalization efforts.
  • Establish feedback loops via API product management roles to incorporate consumer requirements into roadmap planning.

Module 8: Scalability, Resilience, and Disaster Recovery

  • Design API backends with stateless processing to enable horizontal scaling under variable load conditions.
  • Implement circuit breakers and bulkheads in API clients to prevent cascading failures during downstream outages.
  • Test failover procedures for multi-region API deployments using controlled chaos engineering experiments.
  • Size API gateway clusters based on peak request rates, factoring in TLS overhead and policy evaluation costs.
  • Cache immutable responses at the edge using TTL strategies aligned with data freshness requirements.
  • Validate backup and restore procedures for API configuration stores and rate-limiting databases quarterly.
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