--- title: "Best API Lifecycle Management Platforms (2026): Design, Govern, and Retire APIs Compared" description: "Compare the best API lifecycle management platforms in 2026. We evaluate Zuplo, Kong, Apigee, MuleSoft, AWS, Azure, Tyk, Gravitee, WSO2, Postman, and SwaggerHub." canonicalUrl: "https://zuplo.com/learning-center/best-api-lifecycle-management-platforms-2026" pageType: "learning-center" authors: "nate" tags: "API Lifecycle Management" image: "https://zuplo.com/og?text=Best%20API%20Lifecycle%20Management%20Platforms%20(2026)" --- Managing an API doesn't end when you deploy it. The real challenge is everything that comes before and after: designing a spec that won't break consumers, governing changes across teams, versioning without disruption, and eventually [sunsetting endpoints](/learning-center/how-to-sunset-an-api) gracefully. That's [API lifecycle management](/learning-center/api-lifecycle-strategies) — and in 2026, the platforms that handle it well look very different from the ones that just proxy traffic. If you want a platform that covers the full lifecycle — design through deprecation — in a single developer-friendly package, [Zuplo](https://zuplo.com) is the strongest option available today. [Get started free](https://portal.zuplo.com/signup). This guide evaluates eleven platforms on how well they support every stage of the API lifecycle, not just the runtime middle. If you're looking for a broader comparison of [API management platforms](/learning-center/best-api-management-platforms-2026) or a focused [API gateway comparison](/learning-center/best-api-gateways-2026), we've published dedicated guides for those as well. ## What API Lifecycle Management Covers in 2026 The API lifecycle isn't a marketing concept — it's the sequence of stages every API passes through, whether you manage them intentionally or not. - **Design**: Author an OpenAPI spec, define schemas, agree on contracts before writing code - **Develop**: Implement handlers, write policies, connect to backends - **Test**: Validate contracts in CI, run integration tests against preview environments - **Publish**: Deploy to production, generate a developer portal, distribute API keys - **Govern**: Enforce authentication, rate limiting, input validation, and compliance rules at runtime - **Version**: Ship breaking changes safely with URL-based versioning and parallel version support - **Deprecate**: Signal retirement with HTTP deprecation and sunset headers, run brownout windows, and migrate consumers A true lifecycle management platform helps you at every stage. Many tools labeled "lifecycle platforms" only cover two or three of these — typically develop, publish, and govern. The gaps at the edges (design-time validation and end-of-life management) are where teams accumulate the most technical debt. ## How We Evaluated These Platforms We assessed each platform across seven criteria that map to the lifecycle stages above. - **OpenAPI-first design** — Does the platform use the OpenAPI spec as the native configuration format, or does it treat specs as a one-time import? - **CI/CD and GitOps** — Can you validate, test, and deploy API changes through a standard Git workflow with branch-based environments? - **Developer portal** — Is there a built-in portal for publishing docs, API keys, and usage analytics to consumers? - **Runtime governance** — Can you enforce authentication, rate limiting, input validation, and custom policies at the gateway layer? - **Versioning support** — Can you run multiple API versions simultaneously with a clear consumer-facing version selector? - **Deprecation and sunset** — Does the platform support IETF-standard deprecation headers, sunset dates, and brownout policies? - **Pricing model** — Is the pricing transparent and predictable, or does it scale unpredictably with environments, API calls, or add-on features? ## Platform Breakdown ### 1. Zuplo **Best for**: Teams that want full lifecycle coverage — design through deprecation — in a single platform with no infrastructure to manage. Zuplo is an [OpenAPI-native API gateway](/learning-center/openapi-first-api-gateway) where the spec _is_ the configuration. Your `routes.oas.json` file defines routes, policies, and handler bindings in a standard OpenAPI 3.1 document extended with Zuplo-specific vendor properties (`x-zuplo-route`, `x-zuplo-path`). This eliminates the configuration drift that plagues platforms where you import a spec once and then manage routes separately. **Design and validation**: Because the OpenAPI file is both the design artifact and the runtime config, you can lint it with tools like Vacuum or Spectral in CI. Zuplo provides a [built-in testing framework](/docs/articles/testing) (`npx zuplo test`) for running integration tests against any deployed environment, and you can enforce governance rules — like requiring specific policies on every route — with custom CI linting scripts. **Branch-based environments**: Every Git branch automatically creates a [preview environment](/docs/articles/environments) deployed to the same 300+ edge locations as production. Environments deploy globally in under 20 seconds. This means every pull request gets a live, testable URL before merge — no staging environment to manage manually. **Runtime governance**: Zuplo's [programmable policy framework](/docs/articles/policies) lets you write custom inbound and outbound policies in TypeScript, running in V8 isolates at the edge. Built-in policies cover API key authentication, JWT validation, rate limiting, request validation against your OpenAPI schemas, and more. Composite policies bundle multiple governance rules into a reusable package that you can apply to every route with a single reference. **Developer portal**: A [built-in developer portal](/docs/dev-portal/introduction) (powered by the open-source Zudoku framework) is auto-generated from your OpenAPI spec on every deploy. It includes an interactive API explorer, self-serve API key management, and consumer-facing usage analytics. When you run multiple API versions via separate `.oas.json` files, the portal automatically renders a version selector dropdown. **Deprecation**: Zuplo's [HTTP Deprecation outbound policy](/docs/policies/http-deprecation-outbound) follows the IETF HTTP Deprecation Header standard. You configure a deprecation date, a sunset date, and a migration link — and the gateway automatically attaches `Deprecation`, `Sunset`, and `Link` headers to every response on that route. Pair it with a brownout policy to return periodic `503` responses on deprecated endpoints, forcing stragglers to migrate. **Monetization**: Zuplo's built-in [API monetization](/docs/articles/monetization) (currently in beta) supports metered usage tracking, tiered plans, quota enforcement, and Stripe-integrated billing — all managed from the same platform and exposed through the developer portal. **Pricing**: Free tier available. Paid plans scale with projects and features, not per-API-call metering. No per-environment fees. --- ### 2. Kong (Konnect) **Best for**: Platform teams that need a proven runtime gateway with a large plugin ecosystem and Kubernetes-native deployment. Kong Gateway is one of the most widely deployed API gateways, built on NGINX with an extensible plugin architecture supporting Lua, Go, Python, and JavaScript. Kong Konnect adds a managed control plane, analytics, and a developer portal (on paid tiers). **Lifecycle strengths**: Kong's runtime governance is excellent — the plugin ecosystem covers authentication, rate limiting, traffic control, and observability out of the box. Kubernetes-native deployment via the Kong Ingress Controller fits well into GitOps workflows. The Insomnia desktop app (acquired by Kong) provides spec design and testing capabilities. **Lifecycle gaps**: Kong's design-time and deprecation coverage is weaker. The OpenAPI spec is not the native gateway configuration — you define routes and plugins through Kong's own declarative config (`kong.yaml`) or Admin API, then optionally import an OpenAPI spec. This creates a potential drift between the spec consumers see and the routing config actually running. There's no built-in deprecation or sunset header support. Advanced developer portal features (SSO, audit logs) require a Konnect Enterprise subscription. **Pricing**: Kong Konnect Plus has a published base price but total costs scale with gateway instances, API requests, and add-on features — often reaching $1,000+/month for production workloads. Enterprise pricing requires a sales conversation. The open-source Kong Gateway is free but lacks the portal, analytics, and managed control plane. --- ### 3. Google Apigee **Best for**: Enterprises already invested in Google Cloud that need deep analytics, AI-assisted development, and formal API lifecycle governance. Apigee is Google Cloud's full-lifecycle API management platform. It provides explicit lifecycle states (Design → Develop → Pre-launch → Live → Deprecated → Retired) with role-based transitions, deep analytics, and monetization capabilities. **Lifecycle strengths**: Apigee covers more lifecycle stages than most competitors. API Hub provides a centralized catalog with lifecycle tracking. Built-in monetization supports multiple billing models. Analytics are best-in-class for understanding API usage patterns. The APIM Operator (GA in 2025) enables Kubernetes-native deployment. **Lifecycle gaps**: Configuration is XML-based (proxy bundles), which creates a steep learning curve and poor developer experience compared to TypeScript or declarative YAML. Apigee is tightly coupled to Google Cloud — running it outside GCP is possible with Apigee Hybrid, but adds significant operational complexity. Environment provisioning is slow compared to branch-based systems. Pay-as-you-go pricing starts at $20 per million API calls (for standard proxies) plus per-environment charges, and costs can escalate quickly at scale. **Pricing**: Pay-as-you-go scales with API call volume and environment count. Enterprise subscription tiers range from roughly $25,000 to over $100,000+ annually depending on features and scale. --- ### 4. MuleSoft Anypoint **Best for**: Salesforce-ecosystem enterprises that need iPaaS + API management in one platform and are willing to invest in a comprehensive (and expensive) integration suite. MuleSoft Anypoint Platform combines integration (iPaaS) with API management, offering design, build, deploy, manage, and govern capabilities across the full API lifecycle within the Salesforce ecosystem. **Lifecycle strengths**: Anypoint Design Center provides collaborative spec authoring. API Governance applies rulesets from Anypoint Exchange for design-time and runtime compliance. Anypoint Exchange serves as both an asset catalog and a developer portal. Flex Gateway (the lightweight runtime) supports Kubernetes and Docker deployments. Agent Fabric enables MCP and A2A protocol support for AI-agent scenarios. **Lifecycle gaps**: MuleSoft is deeply tied to the Salesforce ecosystem — pricing is enterprise-only (typically $50,000+ annually, often six figures), making it inaccessible for startups and mid-market teams. The Java-based runtime (Mule Runtime) carries operational overhead for teams without JVM expertise. Deployment speed and developer experience lag behind cloud-native alternatives. Deprecation workflows exist but require custom configuration. **Pricing**: Enterprise-only with vCore-based licensing. Contracts typically start around $50,000/year and often reach six figures. Total cost of ownership exceeds initial licensing due to integration specialists and infrastructure requirements. --- ### 5. AWS API Gateway **Best for**: Teams running serverless workloads on AWS that need a pay-per-request gateway tightly integrated with Lambda, Cognito, and CloudWatch. AWS API Gateway offers two flavors: REST APIs (full-featured, more expensive) and HTTP APIs (cheaper, fewer features). It's the default choice for Lambda-backed APIs on AWS. **Lifecycle strengths**: Pay-per-request pricing is genuinely cost-effective for low-to-medium traffic APIs. Deep integration with the AWS ecosystem (Lambda, Cognito, CloudWatch, X-Ray, WAF) means you don't need third-party tools for basic governance. AWS launched a Managed Portal in late 2025. OpenAPI import is supported for defining routes. **Lifecycle gaps**: AWS API Gateway is a _runtime_ tool, not a lifecycle platform. There's no built-in spec design tooling — you author OpenAPI specs externally and import them. The imported spec becomes AWS-specific configuration (not a living document). There's no built-in deprecation or sunset header support. Versioning is manual via stages or path-based routing. The developer portal (Managed Portal) is new and limited compared to purpose-built options. Regional deployment only — no global edge network (use CloudFront separately). Per-environment costs add up in multi-stage setups. **Pricing**: HTTP APIs start at $1.00 per million requests. REST APIs start at $3.50 per million. Free tier includes 1 million HTTP API calls/month for 12 months. --- ### 6. Azure API Management **Best for**: Microsoft-ecosystem enterprises that need a full-featured API management platform integrated with Azure Active Directory, Azure Functions, and Azure Monitor. Azure API Management is a comprehensive platform with a developer portal, policy engine, analytics, and multi-protocol support (REST, SOAP, WebSocket, GraphQL). **Lifecycle strengths**: Built-in developer portal with customization options. API Center provides a centralized catalog with lifecycle metadata and governance rules. Policy engine supports XML and C# expressions for fine-grained traffic control. OpenAI integration enables AI gateway scenarios. Supports versioning via URL path, header, or query string with version sets. **Lifecycle gaps**: Per-tier, per-environment pricing is expensive and unpredictable — the Standard tier starts around $700/month per unit, and provisioning a new environment takes 30+ minutes. Configuration is XML-based (policies) with C# expressions, which is less developer-friendly than TypeScript or declarative formats. The Developer tier (for testing) has strict resource limits. No native deprecation header support. GitOps integration exists via Azure DevOps but isn't as seamless as branch-based deployment models. **Pricing**: Consumption tier starts at ~$4.20 per million calls. Standard tier is ~$700/month. Premium tier starts at ~$2,800/month per unit. Each environment (instance) incurs its own cost. --- ### 7. Tyk **Best for**: Teams that want an open-source API gateway with native GraphQL support and the option to self-host or use a managed cloud. Tyk is an open-source API gateway written in Go, with a commercial dashboard, developer portal, and analytics layer. It's one of the few gateways with native GraphQL support (not just proxying, but schema-aware federation). **Lifecycle strengths**: The open-source gateway is genuinely free for self-hosted deployments. Native GraphQL support covers schema stitching and federation. The Tyk Dashboard provides a developer portal and analytics. Tyk OAS APIs use OpenAPI 3.0 as the API definition format. Tyk AI Studio (open-sourced in March 2026) adds AI gateway capabilities. **Lifecycle gaps**: Design-time tooling is limited — spec authoring happens externally. The open-source version lacks the developer portal, dashboard analytics, and multi-team governance features (those require the commercial license). Self-hosting adds operational overhead (Redis dependency, separate dashboard/gateway/pump components). No built-in deprecation or sunset header support. GitOps workflows require custom scripting with `tykctl` or the Tyk Operator for Kubernetes. **Pricing**: Open-source gateway is free. Tyk Cloud starts at $600/month. Tyk Self-Managed commercial license pricing requires a sales conversation. --- ### 8. Gravitee **Best for**: Teams that need to manage REST, async (Kafka, MQTT), and event-driven APIs from a single platform. Gravitee is an API management platform recognized as a Leader in the 2025 Gartner Magic Quadrant. It stands out for its multi-protocol support, covering REST, WebSocket, Kafka, MQTT, and other event-driven protocols in one platform. **Lifecycle strengths**: Full lifecycle stages are modeled in the platform (Created → Published → Deprecated → Closed). Multi-protocol support is genuinely differentiated — most competitors only handle REST. The v4 API definition model is more modern than many alternatives. Gravitee 4.10 added an AI Gateway and AI IAM for MCP proxy with OAuth 2.0 support. The developer portal supports API discovery and subscription management. **Lifecycle gaps**: Gravitee's ecosystem is smaller than Kong's or Apigee's, which means fewer third-party integrations and community plugins. Self-hosted deployment requires managing multiple components (Gateway, Management API, Management Console, Developer Portal). OpenAPI is supported but not the native configuration format — Gravitee has its own API definition model. Documentation and community resources are less extensive than larger competitors. **Pricing**: Free community edition (limited features). Enterprise pricing is not publicly listed — requires a sales conversation. --- ### 9. WSO2 API Manager **Best for**: Government, financial services, and public-sector organizations that need a fully open-source API management platform with no vendor lock-in. WSO2 API Manager is an open-source, full-lifecycle API management platform with a strong presence in regulated industries. The March 2026 release added agent-ready API capabilities with MCP proxy and multi-gateway federation support. **Lifecycle strengths**: Genuinely open-source under the Apache 2.0 license — no open-core bait-and-switch. Full lifecycle support including a publisher portal, developer portal, analytics, and gateway. Explicit lifecycle states (Created → Prototyped → Published → Deprecated → Retired → Blocked) with role-based transitions. API governance with custom rulesets. Strong compliance story for government and regulated industries. **Lifecycle gaps**: The Java-based runtime carries significant operational overhead — deployment, tuning, and debugging require JVM expertise. Self-hosted deployment is complex (multiple components: Gateway, Key Manager, Traffic Manager, Analytics). The developer experience lags behind cloud-native platforms — configuration involves XML, admin consoles, and multi-step UI workflows. Cloud-hosted option (Choreo) simplifies operations but reduces the flexibility that draws teams to WSO2 in the first place. **Pricing**: Open-source is free. WSO2 commercial support and Choreo (managed cloud) pricing require a sales conversation. --- ### 10. Postman **Best for**: API development teams that need best-in-class design, testing, and collaboration tooling — paired with a separate runtime gateway for production. Postman is the most widely used API development platform, excelling at spec design, collection-based testing, mock servers, and team collaboration. It is _not_ a runtime API gateway. **Lifecycle strengths**: Unmatched developer adoption (40M+ users). Excellent spec design and editing tools. Collection-based testing with automated test runs. Mock servers for prototyping before implementation. Postman Flows for visual API orchestration. AI Agent Builder and MCP support (as of 2026). API governance via configurable rulesets. **Lifecycle gaps**: Postman does not proxy production traffic. It has no runtime gateway, no rate limiting, no authentication enforcement, no developer portal for consumers, and no deprecation header support. You need to pair Postman with a gateway like [Zuplo](/learning-center/zuplo-vs-postman-api-gateway-vs-api-development-platform), Kong, or Apigee for production lifecycle management. Design-time specs in Postman can drift from the runtime config in your gateway if you're not careful about sync. **Pricing**: Free tier for individuals. Team plan at $19/user/month. Enterprise pricing requires a sales conversation. --- ### 11. SmartBear SwaggerHub **Best for**: Teams focused on API design governance and spec-first development that use separate tools for runtime management. SwaggerHub (now part of SmartBear's API Hub) is the commercial evolution of the Swagger toolchain. It provides collaborative OpenAPI spec editing, design governance, and a hosted mock server. **Lifecycle strengths**: Strong design-first workflow with collaborative spec editing, style validation, and auto-generated mock servers. Integration with SwaggerHub Explore for API testing. SmartBear's April 2026 release added new governance capabilities and AI-readiness features. MCP tools allow AI-assisted spec authoring. **Lifecycle gaps**: SwaggerHub is a design-time tool — it does not provide runtime gateway capabilities, rate limiting, authentication enforcement, or traffic management. Like Postman, you need a separate gateway for production. There's no built-in developer portal for consumer self-service (beyond hosted docs). No deprecation or sunset header support. The pricing model (per-seat/per-API) can become expensive for teams with many specs. **Pricing**: Free tier available (limited APIs). Paid plans scale per-user and per-API. Enterprise pricing requires a sales conversation. ## Decision Framework: Which Platform Fits Your Team? The right platform depends less on feature checklists and more on your team's context. Here's how to think about it by team archetype. ### Greenfield Startup (< 20 engineers) You need full lifecycle coverage with minimal operational overhead. Infrastructure time is engineering time you don't have. **Recommended**: Zuplo. Free tier gets you started, the built-in developer portal eliminates a separate tool, and GitOps deploys mean your existing GitHub workflow is your API management workflow. Zero infrastructure to manage. **Also consider**: AWS API Gateway if you're already all-in on Lambda and don't need a developer portal yet. ### Regulated Enterprise (finance, healthcare, government) You need audit trails, compliance evidence, and formal lifecycle state management. Vendor lock-in is a concern because procurement cycles are long. **Recommended**: Zuplo for teams that want modern DX with enterprise governance — the immutable audit log, composite policies, and Git-based change history provide SOC 2 evidence out of the box. WSO2 for organizations that require fully open-source licensing. **Also consider**: Apigee if you're committed to Google Cloud. Azure API Management if you're a Microsoft shop. ### Internal Platform Team You're building a shared API platform for multiple product teams. Governance consistency matters more than any single API's needs. **Recommended**: Zuplo's composite policies let you define a "production-ready" bundle (authentication + rate limiting + validation + logging) and require it on every route via CI checks. Teams get autonomy on their API logic while platform governance is enforced automatically. **Also consider**: Kong Konnect if you need the breadth of the plugin ecosystem and have Kubernetes expertise. MuleSoft if you're in the Salesforce ecosystem and budget isn't a constraint. ### API-as-Product Team You're monetizing your API. Developer portal quality, self-serve key management, and billing integration are table stakes. **Recommended**: Zuplo. Built-in developer portal with self-serve API key management, consumer-facing usage analytics, and native Stripe-integrated monetization — all in one platform. No need to stitch together separate portal, billing, and gateway tools. **Also consider**: Apigee if you need its advanced analytics for usage optimization. Gravitee if you need multi-protocol support (REST + Kafka/MQTT). Ready to see how Zuplo handles the full lifecycle? [Get started free](https://portal.zuplo.com/signup) — no credit card required. ## Lifecycle Implementation Playbook Regardless of which platform you choose, the stages of the API lifecycle follow a consistent pattern. Here's how to implement each stage with modern tooling. ### Stage 1: Design (OpenAPI) Start with the spec, not the code. Write an OpenAPI 3.1 document that defines your paths, schemas, and error responses before implementing anything. This is the [design-first approach](/learning-center/api-lifecycle-strategies) that prevents the most common lifecycle problems. Lint the spec in CI with tools like Vacuum or Spectral to enforce naming conventions, require descriptions on every endpoint, and validate schema consistency. ### Stage 2: Validate (CI) Run your spec through automated checks on every pull request. At minimum, validate that the spec is syntactically correct and passes your linting rules. Better: run contract tests against a preview environment to verify that the deployed API matches the spec. With Zuplo, the `request-validation-inbound` policy automatically validates incoming requests against your OpenAPI schemas at runtime — so the spec isn't just documentation, it's enforcement. ### Stage 3: Publish (Developer Portal) Deploy the API and publish documentation simultaneously. A good [developer portal](/learning-center/developer-portal-comparison) auto-generates docs from your spec, provides an interactive API explorer, and lets consumers create and manage their own API keys. Avoid the trap of treating docs as a separate project. When the portal is auto-generated from the same spec that configures the gateway, documentation can never drift from reality. ### Stage 4: Govern (Policies) Runtime governance is where lifecycle management becomes tangible. Enforce authentication on every endpoint, apply [rate limiting](/learning-center/api-rate-limiting) to prevent abuse, validate request payloads against your schemas, and log every request for audit. The key is making governance _default_, not optional. Composite policies (in Zuplo) or reusable policy bundles let platform teams define a baseline that every API inherits. New routes get governance for free; skipping it requires an intentional exception. ### Stage 5: Version (Deploy) When you need to ship breaking changes, run old and new versions simultaneously. URL-based versioning (`/v1/`, `/v2/`) is the clearest approach for consumers. With Zuplo, separate `.oas.json` files per major version let you run versions in parallel within the same project. The developer portal automatically shows a version selector. You can even implement version transformations at the gateway layer without changing the upstream API. ### Stage 6: Deprecate (Sunset) [Deprecation](/learning-center/deprecating-rest-apis) is the most neglected lifecycle stage — and the one that causes the most consumer pain when handled poorly. A proper deprecation workflow includes: 1. **Announce**: Set the `Deprecation` header on affected endpoints 2. **Set a deadline**: Add a `Sunset` header with the removal date 3. **Provide a migration path**: Include a `Link` header pointing to migration docs 4. **Enforce**: Run brownout windows (periodic `503` responses) to identify consumers who haven't migrated 5. **Retire**: Remove the endpoint after the sunset date Zuplo's HTTP Deprecation outbound policy handles steps 1–3 with a single policy configuration. The brownout policy handles step 4. ## How the Full Lifecycle Works in Zuplo The playbook above is platform-agnostic. Here's what the same six stages look like concretely in Zuplo — from first commit to final sunset. **Design**: Author your API in `config/routes.oas.json` — a standard OpenAPI 3.1 document. The spec defines routes, request/response schemas, and Zuplo-specific handler and policy bindings. Lint it in CI with Vacuum or Spectral. **Validate**: On every pull request, Zuplo automatically deploys a preview environment in under 20 seconds. Run `npx zuplo test` against the preview URL to verify behavior. Add custom CI rules that parse the OpenAPI file and reject PRs missing required policies. **Publish**: Merge to main. Zuplo deploys to 300+ edge locations in seconds. The developer portal updates automatically with the latest spec, interactive explorer, and consumer-facing API key management. **Govern**: Composite policies bundle your governance requirements (API key auth → rate limiting → request validation → audit logging) into a single reusable reference. Apply it to every route. New endpoints inherit the full governance stack with one line of configuration. **Version**: Add a second `.oas.json` file for your v2 routes. Both versions run on the same deployment. The developer portal shows a version dropdown. Use outbound policies on v2 routes to transform responses without changing your upstream backend. **Deprecate**: Apply the `http-deprecation-outbound` policy to v1 routes with a sunset date and migration link. Add a brownout policy when the deadline approaches. Monitor which consumers are still hitting deprecated endpoints via API analytics. Remove v1 routes after the sunset date. This entire workflow runs through Git. Every change is a pull request, every environment is a branch, and every deployment is an atomic push. No portal clicking, no XML editing, no environment provisioning delays. [Try Zuplo free](https://portal.zuplo.com/signup) and cover the full API lifecycle from your first commit. ## Related Resources **Lifecycle and governance guides** - [API Lifecycle Strategies and Platform Comparison](/learning-center/api-lifecycle-strategies) - [What Is API Management?](/learning-center/what-is-api-management) - [API Management Maturity Model](/learning-center/api-management-maturity-model) - [How to Sunset an API](/learning-center/how-to-sunset-an-api) - [How to Deprecate a REST API](/learning-center/deprecating-rest-apis) **Platform comparisons** - [Best API Management Platforms (2026)](/learning-center/best-api-management-platforms-2026) - [Best API Gateways (2026)](/learning-center/best-api-gateways-2026) - [API Gateway Pricing Comparison (2026)](/learning-center/api-gateway-pricing-comparison-2026) - [GitOps for API Management: Platform Comparison](/learning-center/gitops-api-management-comparison) - [OpenAPI-First API Gateway](/learning-center/openapi-first-api-gateway) - [Developer Portal Comparison](/learning-center/developer-portal-comparison)