KRE API Platform - Migrate. Govern. Accelerate. | KR Elixir Technology
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API Platform

One platform to scale
API delivery
& govern LLM workflows.

KR Elixir's API Platform gives platform teams full lifecycle control over API operations - from legacy gateway migration and design to deployment, monitoring, and deprecation. Migrate from Apigee Edge with zero downtime, design APIs with AI assistance, test with automation, and govern LLM traffic with token-level precision - from one unified platform.

KRE API PLATFORM LIFECYCLE MANAGEMENT APIGEE MIGRATION API DESIGN TESTING PLATFORM AI GATEWAY AGENTIC AI
95%
Auto-migration Rate
3x
Faster API Delivery
70%
Less Manual Effort
99.9%
Uptime SLA
3 months
Complete API Gateway Migration
Platform Capabilities

Any Gateway. Any Lifecycle. Production-ready.

End-to-end API management from design to retirement, migration to AI-native deployment. Each module works standalone. Together, they replace fragmented tooling with one governed system.

Design. Publish. Version. Monitor. Retire.

End-to-end API governance from first spec to final deprecation. Auto-generated developer portal with interactive docs, SDKs, and subscription management.

  • ◆Full lifecycle: design → Publish → Version → Monitor → Deprecate
  • ◆Auto-generated developer portal with docs, SDKs, subscriptions
  • ◆Usage analytics: traffic, performance, SLAs, business metrics
  • ◆Lifecycle policies for access, security, rate limits, compliance
  • ◆Automated consumer notifications for versioning and deprecation
  • ◆Git-native versioning with full audit trail
API Lifecycle · Governance Design → Publish → Version → Monitor → Retire DEVELOPER PORTAL Interactive Docs SDKs Subscriptions Self-Service Auto-generated · zero engineering effort · always in sync with the spec USAGE ANALYTICS 2.4Mreq/day 99.9%uptime 42mslatency

Automated. Git-Native. Zero Downtime.

Automated migration from Apigee Edge to X/Hybrid with 200+ policy translations. All configs as code.

  • ◆Edge → X/Hybrid converter with 200+ policy translations
  • ◆Git-native: configs as code, PR reviews, branch strategies
  • ◆One-click rollback at any stage with dry-run mode
  • ◆Delta analysis: side-by-side diff with risk scores
  • ◆Shadow traffic comparison, contract tests, load tests
  • ◆AI-powered: ML translates Edge XML to Terraform + YAML
Migration · Delta Analysis SOURCE: Edge → TARGET: X/Hybrid POLICY EDGE X/HYBRID STATUS OAuthV2XMLTerraform OK SpikeArrestXMLTerraform OK JavaCalloutCustomManual FLAG SUMMARY 200+policies 95%auto Gitnative 1-clickrollback Zerodowntime 30–180 day hypercare included on every migration stage

Spec-First. AI-Assisted. Governed at Design Time.

OpenAPI 3.0 and AsyncAPI spec builder with live preview. Linting and style guides enforced before anything ships.

  • ◆OpenAPI 3.0 / AsyncAPI visual spec builder
  • ◆Design governance: linting, security, style guides
  • ◆Contract-first mocking: instant mock server
  • ◆Proxy scaffolding: auto-generate from spec
  • ◆AI-assisted design with Gemini and Claude
  • ◆Break-change detection before deployment
API Design Studio SPEC EDITOR openapi: "3.0.3" info: title: Payment API version: "2.1.0" paths: /payments: ✓ Lint clean · style guide passed ✨ AI Assist Mock Server Auto-formats on save · Git-tracked LIVE PREVIEW POST/payments GET/payments/{id} PUT/payments/{id} Mock server running ✓ No breaking changes 3 endpoints · contract validated live

Functional. Load. Security. CI/CD-Integrated.

Auto-generated tests from OpenAPI specs. OWASP scanning. Native CI/CD plugins.

  • ◆Auto-generated test suites from OpenAPI specs
  • ◆Load testing: thousands of concurrent users
  • ◆Security: OWASP API Top 10, injection, auth bypass
  • ◆CI/CD: Jenkins, GitHub Actions, GitLab CI, Azure DevOps
  • ◆Pre/post migration behavioral comparison
  • ◆AI-assisted error analysis
API Testing · Results 247passed 2failed 1,000+concurrent TEST SUITE ENDPOINTMETHODRESULT /usersGET200 /ordersPOST201 /payments/{id}PUT200 /sessions/revokeDELETE401 CI/CD Jenkins GitHub Actions GitLab CI Azure DevOps

Token Governance. Semantic Caching. Prompt Protection.

LLM-aware proxy with token metering, semantic caching, and intelligent multi-model routing.

  • ◆LLM token metering with cost allocation dashboards
  • ◆Prompt injection guard: PII redaction, jailbreak detection
  • ◆Intelligent routing: GPT-4, Claude, Gemini
  • ◆Semantic caching: reduce LLM calls by up to 40%
  • ◆Multi-model fallback and load balancing
  • ◆Full request traceability
AI Gateway · Token Dashboard $0.018cost / call 40%cache hits 12,847LLM calls MODEL ROUTING GPT-4o$0.03 · 210ms Claude$0.02 · 180ms Gemini$0.01 · 150ms PROMPT GUARDRAILS PII Redaction Jailbreak Detection Rate Limit Enforced Every request scored before it reaches the model

Multi-Agent Orchestration with Full Governance.

Agent pipelines with branching, loops, HITL - governed through the API Platform compliance layer.

  • ◆Multi-agent orchestration with branching, loops, HITL
  • ◆Centralized tool and API registry
  • ◆Agent memory: short-term, long-term, episodic
  • ◆Guardrails: policy enforcement, output validation
  • ◆Built on the API Platform governance layer
  • ◆MCP Gateway for agent-to-API integration
Agentic AI · Pipeline ⚡ TRIGGERAPI / Event → 🤖 AGENTDiscovery → TOOL REGISTRYGitHub · Slack · Jira → API GATEWAYGoverned call GUARDRAILS & AUDIT Policy Enforced Output Validated Decision Traced RECENT DECISIONS Refund request approved after policy check2m ago GitHub write blocked — scope exceeded14m ago Escalated to human reviewer (HITL)1h ago
API Platform - Migration Pipeline 01 Discovery Scan proxies, shared flows, KVMs, apps ✓ 02 RAG Assessment Classify, map dependencies, score risk ✓ 03 Architecture Future-state: network, security, IAM, token sync ✓ 04 Automated Migration ML converts Edge XML to Terraform + YAML 05 Validation Pending 06 Cutover & Hypercare Pending
API Platform - 6-Stage Migration Pipeline - Live
Migration & Lifecycle

Automated migration from
Apigee Edge to X/Hybrid

The KRE API Platform runs a six-stage migration pipeline that discovers every proxy, classifies every asset, translates every policy, and validates every behavior before cutover. AI-powered conversion handles 200+ Edge policy types. Delta analysis surfaces behavioral differences between source and target. Token sync ensures zero rekeying and no consumer impact. Instant rollback at every stage. 30-180 day hypercare included. No manual policy translation. No application changes.

Migration Approach

Agentic Migration Approach - Apigee Edge to Apigee X

Discovery

Automatically scans APIs, proxies, dependencies, traffic flows, and environments to establish a complete system baseline.

RAG Assessment

Classifies every asset with dependency mapping and migration risk scoring before execution begins.

Architecture

Defines future-state architecture across network, security, IAM, and token synchronization layers.

Automated Migration

Migrates in dependency order with built-in token sync and zero client-side changes.

Validation

Automated regression, contract, and load testing with side-by-side behavioral comparison.

Cutover & Hypercare

Zero-downtime cutover using canary, blue-green, or phased rollout with instant rollback and 30-180 day hypercare.

Technical & Operating Highlights

What makes zero-downtime migration possible

Active Token Synchronization - Edge → X

Phased, hybrid migrations put continuity at risk the moment two gateways run in parallel.

  • Shared OAuth token validation across Edge and X
  • Synchronized access and refresh tokens
  • JWT signing keys aligned via KMS/JWKS
  • Zero rekeying, zero interruption during cutover
Benefits
  • Zero downtime windows to plan around
  • No emergency rollback if X isn't ready
  • Cutover on your timeline, not a deadline
  • No spike in auth support tickets

App & User Migration via Platform SDK

Manual re-creation is where migrations lose time and introduce risk.

  • Developers, profiles, and applications migrated automatically
  • API products, keys, secrets, and attributes carried over intact
  • Full metadata reconciliation and validation
  • No re-entry, no key rotation, migration at pipeline speed
Benefits
  • Weeks of re-entry, done in one pass
  • No orphaned credentials to chase
  • Developers keep working, no re-onboarding
  • Effort scales with APIs, not headcount
Platform Team Structure

How your teams operate on the platform

💻
Platform Team
Org admin, shared flows, observability, Terraform IaC - the backbone everything else depends on.
👥
API Consumers
Self-service portal, sandbox, auto-generated docs with zero Platform Team involvement.
🛠️
API Producers
Trained by KRE. Design, proxy development, CI/CD with KRE runbooks and governance templates.
📚
Enablers
API Guild, Shared Flow Library, Governance Templates, Style Guide, Spectral linting.
Why Enterprises Choose KRE

Five reasons platform teams prefer KRE

✓
De-risked from day one
RAG assessment defines scope, effort, and risk before execution begins.
✓
No application changes
Token sync ensures zero rekeying and no consumer impact.
✓
One platform, not fragmented tools
Replaces SwaggerHub, Postman, and standalone CI/CD.
✓
Zero-downtime migration
Canary, blue-green, and phased rollouts with instant rollback.
✓
Compliance by design
OWASP, SOC 2, GDPR, and PCI-DSS embedded across the lifecycle.
✓
Low-risk entry
Free scoped migration assessment covering up to 15 proxies with full RAG analysis.
API Lifecycle Framework

Design. Build. Ship. Govern. Retire.

✏️
Design
  • AI-assisted (Gemini, Claude)
  • Real-time mock server
  • Break-change detection
  • Git-native versioning
💻
Develop
  • Auto-generate proxy bundles (Apigee, MuleSoft, Kong)
  • Shared flow library
  • Full audit trail
☑️
Test
  • 1,000+ concurrent load testing
  • Contract and security testing
  • CI/CD integrated
  • AI-assisted error analysis
📈
Deploy
  • One-click deployment
  • Blue-green and canary
  • Dev→Test→Perf→Prod gating
  • Automated rollback
📊
Monitor
  • SLO dashboards
  • OAuth 2.0/2.1, JWT, mTLS
  • OWASP API Top 10
  • OpenTelemetry / New Relic / Datadog
🗑️
Retire
  • Lifecycle stage management
  • Automated consumer notifications
  • Traffic drain & decommission
  • Documentation
Client Outcomes

Where This Works in Practice

FinTech
Global API Gateway Migration
Legacy gateway across multiple regions creating operational risk.
1,000+ APIs migrated across 7 global regions. Zero production incidents. Sub-second B2B performance maintained.
APIs
1,000+
migrated
Regions
7
global
Incidents
0
production
7+ year engagement across multiple modernization programs.
Travel
API Gateway Migration
Aging Apigee Edge with no clear path to modern gateway.
Full migration Edge to Apigee X. Phased cutover. Legacy DC decommissioned.
Migration
Complete
Edge to X
Cutover
Phased
controlled
Legacy
Retired
DC gone
Modern gateway now supporting full production workloads.
Healthcare
M&A API Consolidation
Three concurrent M&A integrations requiring consolidation.
Three integrations into AWS-based API infrastructure. Legacy retired in 8 months. Zero clinical disruption.
M&A
3
concurrent
Timeline
8 mo
legacy retired
Disruption
Zero
clinical
Zero disruption to clinical and patient-facing services.
FinTech
API Lifecycle Platform
No unified lifecycle platform. Slow onboarding. Inconsistent delivery.
Lifecycle platform across product teams. Sub-second B2B response. Developer onboarding: days to under 2 hours.
Onboarding
Days→2hrs
ramp
Response
Sub-sec
B2B
Coverage
All teams
product-wide
Sub-second API response for high-volume B2B traffic.
Oil & Gas
API + AI Integration
No managed API layer connecting IoT to AI workloads.
Managed API layer + Vertex AI for predictive maintenance. IoT at scale. 30% less downtime.
Downtime
-30%
operational
AI
Vertex AI
integrated
Scale
IoT-grade
sensors
IoT sensor data processing at scale with Vertex AI.
FinTech
Delivery Velocity
Production-breaking changes shipping undetected.
AI-assisted break-change detection at design time. Breaks eliminated. 3x delivery velocity.
Velocity
3x
delivery
Breaks
Eliminated
production
Detection
Design-time
AI-assisted
Eliminated production-breaking API changes across all teams.

Cut migration timelines from 18 months
to under 3 months

⚠️
How it usually goes
  • API tooling fragmented - SwaggerHub, Postman, standalone CI/CD, separate monitoring
  • Migration manual - policies translated one by one, no automated conversion
  • No behavioral testing - no pre vs post comparison or delta analysis
  • Rollback means starting over - no instant rollback, no dry-run
  • Compliance an afterthought - security applied inconsistently
  • Developer onboarding takes days - no portal, no self-service
  • Gateway upgrades feared - risk unquantified, teams avoid migration
✅
How it runs on the KRE API Platform
  • One platform replaces SwaggerHub, Postman, CI/CD, monitoring with lower TCO
  • AI-powered conversion: Edge XML to Terraform + YAML, 200+ policy mappings
  • Behavioral testing: shadow traffic, contracts, load with delta reports
  • One-click rollback with dry-run mode previewing every change
  • OWASP, SOC 2, GDPR, PCI-DSS embedded across every module
  • Auto-generated developer portal with docs, SDKs, subscriptions
  • RAG assessment quantifies scope, effort, risk - de-risked from day one
“

1,000+ APIs migrated across 7 global regions with zero production incidents. Sub-second performance maintained. A 7+ year partnership built on consistent delivery.

★★★★★
VERIFIED PRODUCTION

Global API Platform Lead

FinTech Enterprise

“

Three concurrent M&A integrations consolidated into one API infrastructure. Legacy decommissioned in 8 months. Zero disruption to clinical services.

★★★★★
ENTERPRISE CLIENT

VP Engineering

Healthcare Organisation

“

Developer onboarding went from days to under 2 hours. The lifecycle platform gave every product team a consistent way to design, test, and ship APIs.

★★★★★
ENTERPRISE CLIENT

Head of API Engineering

FinTech Enterprise