Integration Error Handling & Management Platform

• Connectivity & System Errors: These happen when systems fail to communicate. Causes include network issues, server downtime, incorrect login credentials (authentication errors), or insufficient user permissions (authorization errors).
• Data Formatting & Mapping Errors: These errors arise when the data structure or format of the source system doesn’t match the target system. This can be due to mismatched data fields or incorrect data types.
• Data Transformation Errors: Occur during the process of converting data to meet the requirements of the destination system. The transformation logic may fail, leading to corrupted or incomplete data.
• Business Validation Errors: These happen when the data itself is technically correct but violates specific business rules set within the target application. For example, trying to sync an order with a product SKU that doesn’t exist in the destination system.
• Processing & Timing Errors: These can occur when data is processed incorrectly due to calculation mistakes, failed record updates, or when data is sent or received at the wrong time, causing synchronization issues.

Understanding these common pitfalls is crucial for building resilient integrations. How does your current system help you diagnose and manage these errors when they occur?

Key Characteristics of Synchronous Errors:

• Real-Time Occurrence: The error happens and is reported instantly during the data exchange.
• Blocking Nature: The user or system process is halted and cannot move forward until the error is acknowledged or fixed.
• Immediate Feedback: The system that initiated the request gets an instant success or failure response.

A classic example is online payment processing. When you submit your credit card details, the system waits for an immediate “Approved” or “Declined” response. A “Declined” message is a synchronous error that stops the checkout process right away.

• Automate Wherever Possible: Implement automated retries for transient errors (like temporary network issues) and automated alerts for critical failures. This reduces manual intervention and speeds up resolution time.
• Provide Clear, Actionable Error Messages: Instead of generic codes like “Error 500,” provide descriptive messages that help developers and support teams immediately understand the problem (e.g., “API authentication failed: Invalid API Key provided.”).
• Centralize Logging and Monitoring: Consolidate logs from all integrated systems into a single platform. This gives you a unified view of the entire data flow, making it easier to trace an error from its source to its impact.
• Prioritize Errors by Business Impact: Classify errors as critical, major, or minor. A failure in a payment processing integration should be addressed with higher urgency than a minor data sync delay.
• Define a Clear Error Resolution Process: Establish a clear plan that defines who is responsible for what type of error, how they should be notified, and what the escalation path is.
• Test Your Error Handling: Don’t just test the “happy path.” Proactively simulate failure scenarios (e.g., API downtime, invalid data) during development to ensure your error-handling logic works as expected.

By implementing these practices, you shift from a reactive to a proactive approach, turning potential crises into manageable events.

• Use a Centralized Monitoring Platform: Instead of checking logs in multiple systems, a central platform aggregates all errors into a single, searchable dashboard. This provides a unified view of system health, making it easy to spot trends and diagnose issues quickly.
• Implement Real-Time Logging and Alerting: Configure automated alerts to instantly notify the right team (via Slack, email, etc.) when a critical error occurs. Your logs should capture the full context of the error, including the payload data, to avoid guesswork during troubleshooting.
• Analyze Performance Metrics: Track key metrics like API response times, latency, and throughput. A sudden spike in latency can be an early warning sign of a bottleneck that will soon lead to timeout errors, allowing you to act proactively.
• Leverage End-to-End Transaction Tracing: For complex integrations, tracing allows you to follow a single request as it travels through multiple applications and services. This makes it possible to pinpoint the exact step where a failure occurred in a multi-step process.

Combining these strategies provides a complete picture, enabling teams to resolve issues faster and ensure the reliability of your integrations.

1. Identify Sources and Choose an Integration Method: First, list all applications, microservices, and systems you want to monitor. Then, determine the best way to connect them. Most platforms support standard methods like lightweight SDKs, direct API calls, or webhooks for easy integration.
2. Connect Your Systems: Implement the chosen method by adding the SDK to your application’s code or configuring the API endpoints. This step establishes the connection that allows your systems to send error data to the central platform.
3. Configure Rules and Notifications: Within your error handling platform, set up rules to categorize and prioritize incoming errors. Configure smart alerts to automatically notify the correct team (e.g., DevOps for infrastructure issues, a specific product team for application errors) via their preferred channels like Slack or email.
4. Test the Integration Thoroughly: Before going live, trigger a variety of test errors from your connected systems. Verify that they are not only captured by the platform but also that the rules and notification channels work as expected.
5. Deploy and Monitor: Once testing is complete, deploy the integration to your production environment. Continuously monitor the flow of error data to ensure everything runs smoothly and refine your rules over time as your systems evolve.

The final cost is based on a few key factors:

• The Scale of Your Operations: This includes the number of systems, applications, or API endpoints you need to monitor.
• Data and Transaction Volume: The amount of data being processed and the number of events tracked by the platform.
• Required Support Level: Your choice of support plan, from standard assistance to enterprise-level SLAs for mission-critical operations.
• Custom Requirements: Any requests for custom features, dedicated infrastructure, or specialized integrations with your existing tools.

To receive a detailed, no-obligation quote that precisely matches your technical and business requirements, please contact our team for a personalized assessment.

• For Existing Customers (Primary Channel): The most efficient way to get help is through your dedicated support portal. Here, you can submit a new ticket, track its progress in real-time, and view your entire support history. You received access details during your onboarding.
• Direct Email Support: For less urgent inquiries or follow-ups, you can also reach our support team by emailing the dedicated support address provided in your service agreement.
• For Pre-Sales Questions: If you are not yet a customer and have questions about our support plans, Service Level Agreements (SLAs), or technical capabilities, please contact our sales team. They will be happy to provide all the details you need.

Our goal is to ensure your integrations run smoothly, and our expert support team is a key part of that commitment.

The goal is to provide a single source of truth for errors, regardless of where they originate. This includes compatibility with:

• Integration Platforms (iPaaS): Such as Boomi, MuleSoft, SnapLogic, and Workato.
• Enterprise Service Buses (ESBs): Including established systems like Microsoft BizTalk or TIBCO.
• Custom-Built Applications: Any in-house application or microservice capable of making an HTTP request can be monitored.
• Cloud Services & APIs: From major cloud providers (AWS, Azure, GCP) to any third-party SaaS API.

The core principle is simple: if a system can generate an error, our platform can centralize, monitor, and help you resolve it across your entire integration landscape.