Integrations & Cloud APIs
Connect systems, eliminate data silos, and build APIs that let your applications communicate in real time.
Integrations & Cloud APIs
Connect systems, eliminate data silos, and build APIs that let your applications communicate in real time.
Integrations & Cloud APIs
Connect systems, eliminate data silos, and build APIs that let your applications communicate in real time.
Integrations & Cloud APIs
Disconnected systems cost more than you think.
Every data silo is a manual process waiting to happen. Every disconnected system is a delay, an error, or a missed opportunity. Integration work is often treated as plumbing, but it is the connective tissue of your digital operations. Done well, it eliminates friction. Done poorly, it creates fragile dependencies that break at the worst moment.
of IT decision-makers say data silos are hindering their digital transformation (Salesforce MuleSoft, n=1,050)
report that integration issues are slowing AI adoption in their organisation
of total revenue at organisations comes from API and API-related offerings
of organisations report increased revenue through targeted use of APIs
Source: MuleSoft Connectivity Benchmark Report 2024, Salesforce, n=1,050
Create connections, enable communication
Interoperability
Applications built on different platforms communicate reliably through well-designed APIs and integration layers.
Operational efficiency
Automated data exchange replaces manual transfers, reduces errors, and removes the delays that slow your teams down.
Real-time data
Event-driven integrations keep your systems synchronised without polling delays or batch processing windows.
Scalability
API-first architectures scale independently. Add new consumers without modifying existing producers.
Security and compliance
Direct integrations with proper authentication and authorisation close the security gaps that workarounds create.
Innovation velocity
Well-documented APIs let teams build new capabilities on top of existing systems without waiting for backend changes.
What integrations with Tallence look like
Discovery and mapping
We map your existing systems, identify integration points, and document the data flows that need to be connected or replaced.
API design
We design RESTful or event-driven APIs following OpenAPI standards, with versioning, authentication, and rate limiting built in from the start.
Implementation and testing
We build the integration layer, write automated tests for every endpoint, and validate data consistency across systems.
Monitoring and operations
We configure API monitoring, alerting, and logging so you have full visibility into integration health in production.
REST, GraphQL, and Event-Driven
We work with REST APIs following the OpenAPI standard, GraphQL for flexible data queries without over- or underfetching, and event-driven architectures via Amazon EventBridge, SQS, and SNS. The choice of protocol depends on your requirements for flexibility, latency, and consistency.
Integration Patterns
Four ways to connect systems. One of them fits you.
Gregor Hohpe and Bobby Woolf documented 65 patterns for distributed systems in their reference work Enterprise Integration Patterns. In practice, almost all integration tasks come down to four fundamental styles. Which one fits depends on your requirements for latency, consistency, and coupling.
Request-Response (REST / GraphQL)
One system asks, the other responds immediately. REST following the OpenAPI standard suits CRUD operations with clear resource boundaries. GraphQL gives the client control over the data volume and avoids over- and underfetching. On AWS: Amazon API Gateway with Lambda or ECS as backend.
When: The caller needs the result immediately and latency should stay below 200 ms.
Event-Driven (Publish-Subscribe)
One system emits an event, others react independently. No direct call, no tight coupling. New consumers can be added without changing the producer. On AWS: Amazon EventBridge for cross-domain events, SNS for fan-out scenarios.
When: Multiple systems need to react to the same event without knowing about each other.
Message Queue (Point-to-Point)
Messages land in a queue and are processed by exactly one consumer. The sender does not need to know when or by whom. Guaranteed delivery, even if the consumer is temporarily unavailable. On AWS: Amazon SQS with Dead Letter Queue for failed messages.
When: Tasks must be processed reliably and load spikes need to be buffered.
Workflow Orchestration (Step Functions)
Multiple services are coordinated in a defined sequence. Errors, retries, and compensation logic are part of the workflow, not the individual service. On AWS: AWS Step Functions for long-running processes with human approval or parallel steps.
When: A business process passes through multiple services in a specific order.
Source: Enterprise Integration Patterns, Hohpe & Woolf (Addison-Wesley); AWS implementations following current best practices
API-First
82 percent of organisations have adopted API-First. The rest are catching up.
According to the Postman State of the API Report 2025 (n=5,700), 82 percent of organisations have adopted an API-first approach. 65 percent already generate revenue directly through their APIs. Fully API-first organisations generate more than twice as often over 25 percent of their total revenue through APIs compared to organisations without this strategy.
of organisations have adopted an API-first approach, 12% more than the previous year
generate revenue directly through their APIs
of API teams struggle with collaboration problems due to inconsistent documentation
use CI/CD pipelines for API deployment as standard
Source: Postman State of the API Report 2025, n=5,700 developers, architects, and executives worldwide
FAQ
Frequently Asked Questions
Everything you need to know about integrations, cloud APIs, and our services.
Still have questions? We are happy to advise you. →What is the difference between REST and event-driven integration?
REST APIs use a request-response pattern: one system asks, another answers. Event-driven integration uses a publish-subscribe pattern: systems emit events that other systems react to asynchronously. Event-driven architectures are better suited to high-volume, real-time data flows.
How do you handle legacy systems that do not have APIs?
We build adapter layers that expose legacy system data through modern APIs without modifying the underlying system. This allows gradual modernisation without disrupting existing operations.
Which AWS services do you use for integration?
We use Amazon API Gateway for REST and WebSocket APIs, Amazon EventBridge for event-driven architectures, Amazon SQS and SNS for message queuing, and AWS Step Functions for workflow orchestration.
How do you secure APIs in production?
We implement OAuth 2.0 or API key authentication, TLS encryption, rate limiting, and WAF rules. For internal APIs, we use VPC endpoints and IAM-based authorisation.
Contact
Are your systems talking to each other?
We map your integration landscape and identify where disconnected systems are costing you time and money.
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