Kindlebit
Product Engineering and QAPublicly listed capability

Connect your systems so records agree, handoffs happen automatically and failures are visible.

We design and build APIs, webhooks and event driven integrations with strong authentication, clear contracts, retry and replay, and monitoring, so data moves reliably between your applications and partners.

Map your integrationsSee an integration flow

Kindlebit publicly lists this capability on its website or a third party profile. Named, approved project evidence is being compiled and will be added when Kindlebit confirms it.

Integration layer

  1. Source systems
  2. API gateway
  3. Transform and validate
  4. Event bus
  5. Target systems
  6. Monitoring

Reference design. Components are options, not a statement of what is deployed at any customer.

Problems this service is built to solve

These are situations we expect buyers to recognise. Each one states why it happens, what it costs and how we would approach it.

Inconsistent customer records

A customer changes their address on the website. The CRM keeps the old one, billing sends invoices there and shipping uses a third. Support sees three versions.

Why it happens
Each system stores its own copy, with no agreed owner and no synchronisation.
What it costs
Misdelivered goods, failed collections and staff time spent reconciling.
How we approach it
Define a system of record per attribute, publish changes as events, apply validation and deduplication, and reconcile periodically with reports on drift.
What to measure
Mismatch rate between systems, time to propagate changes and manual corrections.

Unreliable third party integrations

A payment provider times out occasionally. The integration retries blindly and charges some customers twice, while other orders are lost with no alert.

Why it happens
The integration assumes the other side is always available and always replies once.
What it costs
Customer harm, refunds and engineering time spent on forensics.
How we approach it
Use idempotency keys, timeouts, bounded retries with backoff, dead letter queues, circuit breakers and alerts, and test failure modes explicitly.
What to measure
Duplicate transaction rate, failed message count, time to detect an integration failure.

Manual spreadsheet transfers

Every Friday, someone exports orders from one system, reformats columns and uploads to another. When they are on leave, shipments are delayed.

Why it happens
No API or connector was ever built, so the spreadsheet became the integration.
What it costs
Delays, errors from manual editing and dependency on individuals.
How we approach it
Replace the transfer with an automated job or event integration, with validation, error reports and a manual fallback.
What to measure
Manual transfer hours per week, transfer error rate and latency between systems.

Delayed synchronisation

Stock levels update overnight. The website sells items that sold out in stores during the day, and customers receive cancellation emails.

Why it happens
Batch jobs were the only integration method available at the time.
What it costs
Cancellations, lost trust and operational rework.
How we approach it
Move to event driven updates for stock changes, with reconciliation as a safety net, and size the pipeline for peaks.
What to measure
Synchronisation lag, oversell incidents and event backlog during peaks.

Solutions we engineer

Concrete capabilities, each with the need it serves, how it integrates, what you receive and the value to expect.

API design and development

REST and GraphQL APIs with OpenAPI specifications, versioning, pagination, rate limits and consistent errors.

Customer need
Clear, durable contracts.
Integration
Your services and consumers.
Deliverable
APIs and documentation.
Business value
Easier, safer integration for teams and partners.

Authentication and authorisation

OAuth 2.0 and OIDC, API keys, scopes, mutual TLS where needed and audit logs.

Customer need
Secure access for apps and partners.
Integration
Identity providers.
Deliverable
Auth layer and policy tests.
Business value
Controlled, auditable access.

Webhooks and event driven integration

Signed webhooks, event schemas, queues or streams with ordering and replay.

Customer need
Near real time updates.
Integration
Queues such as SQS, Service Bus, Kafka or RabbitMQ.
Deliverable
Event platform and consumers.
Business value
Fast, decoupled data flow.

Integration with ERP, CRM and SaaS

Connectors with mapping, validation and monitoring for systems such as SAP, Dynamics, Salesforce, NetSuite and Zoho.

Customer need
Connect the systems that run the business.
Integration
Vendor APIs and file interfaces.
Deliverable
Connectors and mapping documents.
Business value
Automated back office flow.

Data transformation and validation

Canonical models, mapping rules, validation and enrichment, with versioned schemas.

Customer need
Make formats agree.
Integration
Source and target schemas.
Deliverable
Transformation layer.
Business value
Fewer data errors.

Error handling and recovery

Retries, dead letter queues, replay tools and reconciliation jobs.

Customer need
Failures should be visible and recoverable.
Integration
Monitoring and ticketing.
Deliverable
Operations console.
Business value
Reliability and trust.

Monitoring and API management

Tracing, metrics, alerting, analytics, quotas and developer portals.

Customer need
Know the health of every integration.
Integration
API gateways and observability tools.
Deliverable
Dashboards and gateway policies.
Business value
Faster diagnosis and governance.

How we solve it

A delivery sequence built around architecture, testing, CI/CD and operational readiness.

Inventory systems and flows

List systems, data items, owners, volumes and current transfers, including spreadsheets.

Define contracts and ownership

Agree systems of record, event schemas, API contracts and data quality rules.

Design the integration architecture

Choose synchronous APIs, events or batch for each flow, with security, failure handling and scale in mind.

Build and test connectors

Implement with contract tests against the interfaces and a sandbox for each external system.

Secure the interfaces

Apply authentication, scopes, rate limits and input validation, and test for abuse.

Validate with real data

Replay samples, reconcile totals between systems and test failure scenarios, including duplicates and out of order events.

Deploy and cut over

Release behind switches, run in parallel and switch each flow once reconciliation matches.

Monitor and maintain

Track failures, latency and drift, handle vendor API changes and review quotas and costs.

Solution in action: Real time stock synchronisation between stores, warehouse and web shop

Reference Architecture An illustrative scenario. It describes how we would structure the work, not a delivered customer project.

Starting problem

The retailer oversells because stock updates arrive overnight.

Existing workflow

Store systems and the warehouse export stock files nightly, and an operator imports them into the web platform.

Improved workflow

Each stock movement emits an event. A consumer validates, deduplicates and updates the web platform within seconds. A reconciliation job compares totals daily and reports drift. Failed events go to a dead letter queue with alerts.

A stock movement occurs in a store.

Systems involved

Store POS, warehouse system, event bus, web platform, monitoring.

Data movement

Stock movement events with SKU, location and quantity.

Human decisions

Operations staff review reconciliation reports and handle dead letter items.

Automation opportunities

Event publishing, consumption, updating and retries.

Exception handling

Out of order or duplicate events are detected by sequence and idempotency keys. Negative stock triggers an alert.

Resulting user experience

The shop shows accurate availability and oversell cancellations drop.

KPIs to evaluate

  • Synchronisation lag
  • Oversell incidents
  • Dead letter backlog
  • Reconciliation drift

What you receive

Concrete deliverables for this service, written so you can check them against the contract.

  • API specifications (OpenAPI) and documentation
  • Implemented APIs, webhooks and event consumers
  • Authentication and access policies with tests
  • Connectors and data mapping documents
  • Retry, replay and reconciliation tools
  • Monitoring dashboards and alert rules
  • Contract and integration test suites
  • Runbooks and handover

Technology and engineering

Options we would evaluate for this service. Unless a group is marked as publicly listed on kindlebit.com, treat each tool as a proposed implementation option. Naming a tool does not imply a vendor partnership.

API and services

  • Node.js
  • Python
  • FastAPI
  • ASP.NET Core
  • GraphQL
  • OpenAPI

Messaging

  • Kafka
  • RabbitMQ
  • AWS SQS and SNS
  • Azure Service Bus

Gateways and security

  • Kong
  • Apigee
  • AWS API Gateway
  • Azure API Management
  • OAuth 2.0
  • OIDC

Integration platforms

  • MuleSoft
  • Boomi
  • Azure Logic Apps
  • n8n

Publicly listed Kindlebit capabilities

  • Web API
  • Web services
  • ASP.NET Core

Relevant Kindlebit work and evidence

We use the strongest evidence available and say which kind it is.

Reference ArchitectureInteractive demo with simulated data

Event driven integration with idempotency, dead letter queue and reconciliation

A reference architecture used across the demonstrations. It is not a description of a delivered customer project.

Open the demonstration

Business outcomes and success criteria

These are the measures we would agree before work starts. They are criteria for success, not results from past engagements.

Data consistency

Mismatches between systems per thousand records.

Latency

Time for a change to reach target systems.

Reliability

Failed messages and time to recovery.

Manual effort

Hours spent on transfers and corrections.

Questions buyers ask

REST, GraphQL or events?

REST for simple resource access, GraphQL where clients need flexible queries, and events for decoupled updates. Many systems combine them.

How long does an integration take?

A well documented API with a clear mapping may take weeks. Legacy systems, poor documentation and complex rules extend that.

How do you avoid duplicate or lost data?

By using idempotency keys, ordered or versioned events, retries with backoff, dead letter queues and periodic reconciliation.

Can you integrate systems without APIs?

Often through database access, file exchange or user interface automation. We explain the maintenance cost of each option.

How do you secure partner access?

With standard OAuth based authentication, scoped permissions, rate limits, input validation and logging, reviewed against your security policy.

Who monitors the integrations?

We can set up monitoring for your team, or operate it under the maintenance service.

Related services

Industries where this applies

Map the integrations your business depends on.

List the systems that need to agree and the transfers people still do by hand. We will propose the architecture and a first flow to automate.

Map your integrations Explore a demonstration