Designed for operators
Every interface is built around throughput, queue clarity, and exception handling so frontline teams can move with confidence.
Platform
Modern operational systems for real businesses
Kettle Logic blends modern application patterns with enterprise operating discipline: APIs, eventing, automation, AI agents, observability, and governance. The goal is not buzzwords — it is faster execution, lower rework, and cleaner decisions.
We build platforms that sit between messy source systems and high-stakes business workflows so operators can launch, govern, and scale confidently.
- Production-first implementation plans for revenue, operations, and risk teams
- Operator workflows with approvals and audit trails from day one
- Architecture patterns designed for phased rollout, not one-off prototypes
Built for scale
API-first foundations, event-driven integrations, and policy controls support multi-team, multi-channel, and multi-entity operating models.
Measured by outcomes
Telemetry, SLOs, and operational KPIs keep quality and speed visible from individual workflows up to executive reporting.
Reference Architecture (Multi-Cloud + Kubernetes)
An executive-ready diagram suite covering application architecture, Kubernetes runtime topology, cloud service mappings, network controls, delivery operations, and an agentic AI layer with MCP integration boundaries.
Experience Channels
- Web portals, mobile operations, and partner APIs
- Tenant-aware auth, rate controls, and approval journeys
- Operator workbenches for readiness and exception handling
Domain Service Layer
- Catalog, workflow, and integration microservices
- Event-driven automations with human checkpoints
- Policy-as-code for governance and release gates
Data + Intelligence
- Lakehouse zones, operational stores, and caches
- Feature pipelines, AI enrichment, and confidence scoring
- BI and KPI APIs for command-center dashboards
Ingress + Security
- Global DNS, WAF, CDN, and API ingress
- Zero-trust identity, OIDC federation, and token policy
- mTLS service mesh with workload identity binding
Kubernetes Runtime
- Regional AKS / EKS / GKE execution pools
- Autoscaled APIs, workers, and stream processors
- GitOps rollouts with progressive deployment checks
Resilience + Data
- Managed relational and document stores
- Object storage zones with lifecycle controls
- RPO/RTO-aligned replication and backup policies
Compute + Platform
- AWS: EKS + Fargate + Lambda
- Azure: AKS + Container Apps + Functions
- GCP: GKE + Cloud Run + Cloud Functions
Data + Event Backbone
- Object storage + managed SQL/NoSQL variants
- Kafka/pub-sub/event bus implementation options
- Redis-compatible caching for low-latency workflows
Guardrails + Observability
- Cloud-native IAM, KMS, and secret management
- Unified OpenTelemetry collection and SIEM exports
- Policy baselines enforced through IaC checks
North-South Controls
- 443/TLS 1.3 ingress for UI, API, and partner traffic
- DDoS and WAF controls at edge tiers
- OIDC/SAML federation over secured endpoints
East-West Controls
- Service-to-service mTLS on 8443 mesh gateways
- Event backbones on 9092/5671 with ACL controls
- Private database paths on 5432/3306 with deny-by-default
Isolation + Governance
- Subnet zoning for ingress, app, data, and management
- Private endpoints for storage, key vaults, and registries
- Central flow logs and anomaly detections for SOC review
Engineering Flow
- Backlog decomposition with reusable platform templates
- CI pipelines: security, unit, integration, and contract tests
- Artifact signing with provenance and SBOM capture
Release Operations
- Progressive delivery (canary/blue-green) by risk profile
- SLO-based release checks and automated rollback
- Change approvals linked to business readiness windows
Run + Improve
- Observability command center and on-call playbooks
- Incident analysis with action tracking and ownership
- Quarterly resilience drills and performance optimization
Business + Integration Layers
- ERP, CRM, WMS, PIM/MDM, service systems, and knowledge bases
- API gateways, event streams, orchestration, and workflow engines
- Exception queues and deterministic business rules for critical paths
AI + Agent Layers
- LLM routing, retrieval context, and prompt/policy controls
- Task agents and operator copilots with scoped responsibilities
- Confidence thresholds and human approvals before sensitive actions
MCP + Governance Layers
- MCP servers exposing tools, resources, and prompts to clients
- Identity, audit logs, observability, and usage analytics across actions
- Portable architecture that avoids hard lock-in to a single AI vendor
Control tower operations
Operator-grade dashboards for merchants, category managers, plant teams, and service leaders with SLA status, queue aging, and drilldowns that make the next action obvious.
Data quality pipelines
Rule-based and AI-assisted validation for product, supplier, menu, and operational data with readiness scores, remediation queues, and publish gates.
Automation and agents
Agentic AI copilots for triage, enrichment, mapping, and workflow routing with human approval checkpoints, confidence scoring, and audit trails.
Integration and eventing
API-first integration, event orchestration, and partner feed processing across ERP, POS, PIM/MDM, WMS, and external channels, with optional provenance/event-ledger patterns.
Observability and reliability
SLO-driven telemetry, synthetic checks, and runbooks to keep operational APIs, workflows, and data products healthy during live business windows.
Security and governance
Role-based access, policy controls, approvals, retention, and change governance designed for enterprise and multi-entity operating environments.
Where this lands
Common deployments include shelf readiness and product launch control towers, supplier data normalization pipelines, menu/item governance, service availability dashboards, and internal command centers for cross-functional teams.
Technical fit includes cloud-native services, event streams, workflow engines, AI-assisted enrichment, and operational analytics — all implemented with pragmatic controls for security and auditability.