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11 API Failure Causes and How To Solve Them

Jul 7, 2025
4 min read
author denis sautin preview

Denis Sautin

Author

Denis Sautin

Denis Sautin is an experienced Product Marketing Specialist at PFLB. He focuses on understanding customer needs to ensure PFLB’s offerings resonate with you. Denis closely collaborates with product, engineering, and sales teams to provide you with the best experience through content, our solutions, and your personal journey on our website.

Product Marketing Specialist

Reviewed by Boris Seleznev

boris author

Reviewed by

Boris Seleznev

Boris Seleznev is a seasoned performance engineer with over 10 years of experience in the field. Throughout his career, he has successfully delivered more than 200 load testing projects, both as an engineer and in managerial roles. Currently, Boris serves as the Professional Services Director at PFLB, where he leads a team of 150 skilled performance engineers.

When an API fails, the consequences ripple quickly through the entire system. Transactions stall, integrations break, and frustrated users flood your support channels. Understanding exactly why API failures happen — and how to fix them — is essential for developers and businesses alike. This article examines the most common reasons behind API failures, explores the typical API failure codes you might encounter, and shares practical strategies on how to improve API performance.

what is api failure

What Is an API Failure?

API failure is an event where an Application Programming Interface (API) stops responding as expected, returns incorrect data, or becomes completely inaccessible. Essentially, it’s when the communication link between different software components breaks down, disrupting data exchange and negatively impacting the user experience. An API failed condition might stem from server errors, incorrect configurations, or authentication issues, among other factors. When API failures occur, applications relying on these interfaces become unstable, slow down, or stop functioning entirely.

Check out our list of the best API load testing tools that will help you spot API failures as early as possible.

Common API Error Codes

common api errors

When diagnosing API failures, certain HTTP error codes commonly appear:

400 Bad Request
A 400 error typically signals problems with how the client formatted or constructed the API request. Common issues include invalid syntax, incorrect parameter names, or malformed JSON/XML data. Resolving this involves verifying the accuracy and completeness of request data, ensuring proper formatting, and aligning parameters with API documentation.

401 Unauthorized
Receiving a 401 indicates authentication failures, usually due to incorrect or missing credentials. The client may have provided expired tokens, invalid API keys, or incorrect authentication headers. To fix this, verify credentials, regenerate API keys if necessary, and ensure proper authorization headers are used.

403 Forbidden
A 403 error occurs when the client lacks permission to access specific resources or actions, despite successful authentication. This often relates to insufficient user roles, misconfigured access control rules, or restricted resource permissions. Resolving this issue requires reviewing and updating access privileges, roles, or permissions settings on the server.

404 Not Found
When encountering a 404, the client is attempting to access a non-existent resource or incorrect endpoint. Causes might include outdated URLs, typographical errors, or recently relocated resources without proper redirects. Checking endpoint accuracy, API endpoints, updating URLs, and ensuring correct routing configurations typically solve this problem.

500 Internal Server Error
The 500 error points to an unexpected server-side issue, such as unhandled exceptions, code failures, or database connectivity problems. Since this error is generic, further analysis of server logs or application monitoring tools is essential. Debugging the server-side code and applying patches or hotfixes typically resolves these errors.

11 Main Reasons for API Failures

reasons for api failures

Incorrect API Permissions

Misconfigured API permissions commonly result in access issues, often causing “403 Forbidden” errors. Such failures occur when users or services attempt actions beyond their authorization scope, typically due to overly restrictive or overly permissive settings.

To resolve permission issues:

  • Perform Regular Permission Audits:
    Conduct periodic reviews of all API roles and permissions to detect discrepancies proactively.
  • Use Principle of Least Privilege (PoLP):
    Grant only the minimum necessary permissions for each role or user, significantly reducing risk of unauthorized access or errors.
  • Automate Permission Management:
    Utilize automated tools like AWS IAM or Azure RBAC to consistently apply permissions and reduce human error.

Unsecured Endpoints and Tokens

Endpoints without proper security expose your API to unauthorized access, potentially leading to data leaks or service disruptions. Common vulnerabilities include endpoints accessible via unsecured (HTTP) channels or APIs with long-lived tokens.

Recommended strategies:

  • Enforce Strong Authentication Protocols:
    Use OAuth 2.0, JSON Web Tokens (JWT), or mutual TLS to authenticate users and validate tokens.
  • Regular Token Rotation:
    Implement short-lived tokens to reduce window of opportunity for attackers.
  • Use HTTPS/TLS:
    Encrypt data-in-transit to prevent interception and misuse of sensitive data.

Insufficient API Testing

Inadequate or incomplete testing practices significantly contribute to API failures, leaving issues undiscovered until production. Without thorough validation, APIs may encounter unexpected performance bottlenecks, incorrect handling of edge cases, or incompatibilities across different environments.

Make Your API Bulletproof

Solutions:

  • Conduct comprehensive API testing to verify correct interactions between different services or components.
  • Implement rigorous load and performance testing to identify and address scalability issues before going live.
  • Regularly perform security testing to detect vulnerabilities and address them proactively.
  • Adopt automated API load testing tools to facilitate continuous validation and rapid feedback during the development lifecycle.

Invalid Session Management

Ineffective session management can result in unauthorized session reuse, unexpected logouts, or difficulty maintaining user states. Sessions that persist beyond reasonable timeframes or fail to securely track user activity frequently create vulnerabilities.

Effective session management involves:

  • Defining Clear Session Lifecycles:
    Clearly set session timeouts (e.g., 15–30 minutes for sensitive apps).
  • Robust Session Validation:
    Continuously verify session IDs and user activity to detect unusual patterns indicative of session compromise.
  • Utilizing Secure Cookies:
    Employ HttpOnly, Secure, and SameSite attributes in session cookies to mitigate attacks like cross-site scripting (XSS).

Expiring APIs

When API versions become deprecated without proper notice or transition planning, dependent integrations break, causing widespread disruption across connected applications.

Mitigation steps:

  • Transparent API Lifecycle Communication:
    Clearly communicate API lifespan and deprecation schedules at least six months in advance.
  • Consistent Versioning Practices:
    Follow semantic versioning (e.g., v1.0, v2.0) to avoid confusion among users.
  • Migration Guides and Support:
    Provide comprehensive documentation and practical migration pathways to new API versions.

Bad URLs

Incorrect or outdated URLs commonly trigger “404 Not Found” errors. Such API failures often stem from outdated documentation, typographical errors, or improper endpoint management.

To reduce URL errors:

  • Maintain Accurate and Updated Documentation:
    Regularly audit and update your API documentation to reflect current endpoints and parameters.
  • Implement URL Validation:
    Integrate URL checking and automated validation within development processes.
  • Apply Proper Redirects:
    When modifying endpoints, ensure URL redirects are systematically implemented.

Overly Complex API Endpoints

Endpoints with complicated request structures and unclear parameters often cause integration difficulties, increasing the likelihood of API errors during client interactions.

Best practices:

  • Endpoint Simplicity:
    Limit endpoint scope to single, focused functions (e.g., /users vs. /getUsersByStatusAndLocation).
  • Clear Naming Conventions:
    Adhere to RESTful naming practices (e.g., /orders/{orderId} rather than
    /orders?oid=123&type=active).
  • Standardized Error Responses:
    Provide clear, actionable error messages to streamline debugging.

Exposed APIs on Public IPs

APIs publicly exposed without adequate protection can become targets for unauthorized access, exploitation attempts, or denial-of-service (DoS) attacks.

Securing APIs properly involves:

  • IP Whitelisting:
    Allow API access exclusively from specific, trusted IP addresses or network ranges.
  • Gateway Proxies or VPNs:
    Secure API traffic through reverse proxies or VPN tunnels.
  • Network Segmentation:
    Isolate APIs behind internal firewalls to limit public exposure.

Poor API Design and Documentation

Incomplete or confusing documentation frequently leads developers to make integration mistakes, causing failures in API implementation and client-side interactions.

Recommended improvements:

  • Adopt API Design Standards:
    Leverage standards like OpenAPI and RESTful principles to ensure consistent API designs.
  • Continuous Documentation Updates:
    Invest in platforms like Swagger or Postman to maintain accurate, interactive documentation.
  • Design Reviews and Developer Feedback:
    Regularly gather feedback from developers integrating your APIs to iteratively refine design and documentation quality.

Dependency Failures

API availability can be compromised by external dependencies, such as third-party services, databases, or infrastructure, which experience their own outages or latency issues.

Mitigation strategies:

  • Graceful Error Handling:
    Implement fallback logic when dependencies fail or degrade performance, providing alternative workflows.
  • Set Reasonable Timeouts:
    Define strict timeout thresholds (e.g., 3–5 seconds) to ensure your API remains responsive even when dependencies become sluggish.
  • Dependency Monitoring:
    Regularly monitor external services and maintain service-level agreements (SLAs) to reduce risk exposure.

Lack of Monitoring and Logging

Limited or inadequate monitoring often delays the identification and resolution of API issues, prolonging service disruptions and negatively impacting user experience.

Best practices:

  • Comprehensive Real-Time Monitoring:
    Use monitoring tools (New Relic, Datadog, Prometheus) to observe API latency, response time, error rates, and usage patterns.
  • Detailed Logging Practices:
    Log each request/response clearly to facilitate swift troubleshooting, pinpointing issues faster.
  • Automated Alerts and Incident Management:
    Implement automated incident alerts that trigger immediate team response, significantly reducing downtime and improving resilience.

Conclusion

Most of API issues stem from common, preventable factors such as poor documentation, security vulnerabilities, and inadequate testing. Preemptively addressing these areas significantly reduces the risk of API disruptions.

For companies seeking to improve the stability and performance of their APIs, collaborating with a specialized partner or utilizing a professional tool can make a significant difference. 

Ensure Your API Is Ready for Everything

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