Salesforce, a leading Customer Relationship Management (CRM) platform, often requires integrating external systems and services through APIs (Application Programming Interfaces). However, one of the common challenges that Salesforce developers and admins face is callsout errors. These errors occur when Salesforce makes an outbound call to an external system, and something goes wrong. In this article, we will dive deep into why too many callout errors happen in Salesforce, how to identify and resolve them, and the best practices to avoid these errors in the future.
Too Many Callsout Errors in Salesforce

Decoding the Essentials of Callsout in Salesforce
A callout in Salesforce refers to an HTTP request made from Salesforce to an external service. This could be a REST or SOAP API request. These callouts are essential for retrieving or sending data between Salesforce and other systems. However, when a callout fails, the system can throw an error, leading to disruptions in processes and workflows.
Common Types of Callsout Errors in Salesforce
Several types of callout errors can arise when Salesforce communicates with external systems. Below are the most common ones:
- Timeout Errors: These happen when a request takes too long to receive a response.
- HTTP Response Errors occur when the server responds with an error code like 404 (Not Found) or 500 (Internal Server Error).
- Certificate Issues: If there is a mismatch or expiration in SSL certificates, Salesforce will throw a callout error.
- DNS Resolution Errors: These occur when Salesforce cannot resolve the domain name of the external server.
- API Limits: Salesforce imposes certain limits on API usage. Exceeding these limits will lead to callout errors.
Causes of Too Many Callsout Errors in Salesforce
Identifying the root cause of frequent callout errors is crucial for resolving them effectively. Below are some of the primary causes:
Misconfigured API Endpoints
When an API endpoint is incorrectly configured, Salesforce may repeatedly try to connect to an invalid URL, leading to multiple failed callouts. Even a minor typo in the endpoint can cause recurring issues.
Network and Server Downtime
External systems may experience downtime, resulting in failed responses. If the system is down or under maintenance, Salesforce callouts will fail, potentially leading to an overwhelming number of errors.
Exceeding Timeouts
Salesforce has specific time limits for HTTP requests. If the external service takes too long to respond, the callout will time out, resulting in an error.
HttpRequest req = new HttpRequest();
req.setEndpoint('https://externalapi.com/data');
req.setMethod('GET');
req.setTimeout(10000); // Timeout in milliseconds
SSL Certificate Issues
Salesforce uses SSL certificates to establish secure connections. If the external service has an expired or untrusted certificate, the callout will fail.
HttpRequest req = new HttpRequest();
req.setEndpoint('https://api.secureservice.com');
req.setClientCertificateName('CertName');
req.setMethod('POST');
API Limits and Restrictions
Salesforce imposes limits on the number of API requests. If an integration exceeds these limits, Salesforce will throw errors.
// Check API limits
System.debug('API Requests Remaining: ' + Limits.getCallouts());
Identifying Callsout Errors in Salesforce
To troubleshoot callout errors, you must first identify them accurately. Salesforce provides multiple ways to do this:
Debug Logs
Salesforce debug logs contain detailed information about callout failures. By enabling debug logs for a user or a particular operation, you can trace the exact reason for the error.
System.debug('Callout Error: ' + res.getStatusCode());
Exception Handling
Use try-catch blocks to catch and log callout errors in your Apex code. This helps in capturing the exact error message and response.
try {
HttpResponse res = http.send(req);
} catch (System.CalloutException e) {
System.debug('Callout Error: ' + e.getMessage());
}
Monitoring via the Salesforce UI
Salesforce provides UI-based monitoring tools like Apex Exception Email Notifications and Callout Limits Monitoring to track errors. These tools notify you when an error occurs and provide insights into the failure.
How to Resolve and Prevent Callsout Errors in Salesforce
Correct Endpoint Configuration
Always ensure that your API endpoints are correct. It’s a good practice to validate the endpoint URL before deploying code. You can do this by testing the URL in a browser or using tools like Postman.
req.setEndpoint('https://api.validservice.com/v1/data');
Implement Retry Logic
Sometimes, external services may experience temporary issues. Implementing retry logic in your code can help mitigate intermittent failures. However, ensure that you do not exceed Salesforce’s callout limits.
for (Integer i = 0; i < 3; i++) {
try {
HttpResponse res = http.send(req);
if (res.getStatusCode() == 200) break;
} catch (System.CalloutException e) {
// Retry logic here
}
}
Set Appropriate Timeouts
Configuring a reasonable timeout value helps prevent long delays. Ensure that your timeout value is neither too short nor too long, as this can either prematurely terminate a valid response or cause unnecessary delays.
req.setTimeout(10000); // 10 seconds
Update SSL Certificates
Ensure that SSL certificates are up to date and match Salesforce’s requirements. Any mismatch or expiration can cause a callout error.
Monitor and Respect API Limits
Ensure you stay within Salesforce API limits by closely monitoring API usage. Use batching or queueing mechanisms to avoid hitting API limits during heavy usage periods.
System.debug('Remaining API Requests: ' + Limits.getCallouts());
Best Practices to Avoid Callout Errors in Salesforce
Prevention is always better than cure. By following these best practices, you can significantly reduce the occurrence of callout errors:
Use Asynchronous Callouts
For long-running operations, consider using asynchronous callouts. This helps in avoiding timeouts and keeps the user interface responsive.
// Use future method for asynchronous callouts
@future(callout=true)
public static void makeAsyncCallout() {
HttpRequest req = new HttpRequest();
req.setEndpoint('https://asyncapi.com/data');
req.setMethod('GET');
HttpResponse res = new Http().send(req);
}
Implement Bulkification
When dealing with large datasets, always bulkify your code. Instead of making multiple individual callouts, consolidate data into a single call whenever possible.
Use Circuit Breaker Pattern
A circuit breaker is a design pattern used to detect failures and prevent the same callout from happening repeatedly when the external service is down.
if (ServiceStatus.isDown()) {
throw new CalloutException('Service is currently unavailable');
}
Cache Responses
For repetitive requests, consider caching the response to reduce the number of callouts. This not only prevents callout errors but also improves performance.
// Cache the API response
Cache.Session.put('externalData', res.getBody());
Stay Within Callsout Limits
Always monitor your callout usage and ensure that you stay within Salesforce’s limits. You can view the current limits through the Setup menu or by using Apex.
Techniques for Handling Callsout Errors
In more complex Salesforce implementations, basic error handling may not suffice. Advanced strategies can help developers handle callout errors more efficiently and avoid disruptions in critical workflows.
Leverage Platform Events for Asynchronous Error Handling
Platform Events can be used to decouple the error-handling process. When a callout fails, you can publish a Platform Event to notify other parts of your Salesforce instance or external systems. This approach helps in handling errors asynchronously without blocking the main process.
// Publish a platform event when callout fails
if (res.getStatusCode() != 200) {
MyPlatformEvent__e event = new MyPlatformEvent__e();
event.ErrorMessage__c = res.getStatus();
EventBus.publish(event);
}
Implement Governor-Friendly Error Logging
Salesforce enforces governor limits to ensure that resources are used efficiently. When handling callout errors, it’s important to log errors without breaching these limits. Use efficient, bulkified logging methods that collect errors in a list and only insert them into custom logging objects when necessary.
List<ErrorLog__c> errorLogs = new List<ErrorLog__c>();
ErrorLog__c log = new ErrorLog__c();
log.Message__c = e.getMessage();
errorLogs.add(log);
if (errorLogs.size() > 0) {
insert errorLogs;
}
Throttling and Rate Limiting
If you’re making numerous outbound API requests, you may want to implement throttling or rate-limiting mechanisms. This helps prevent overwhelming external systems or breaching Salesforce’s API callout limits.
Integer apiCallCount = Limits.getCallouts();
if (apiCallCount >= MAX_CALLS_ALLOWED) {
throw new CalloutException('API Call Limit Reached');
}
Circuit Breaker with Fallback Mechanisms
A more robust implementation of the circuit breaker pattern can include fallback mechanisms. If an external system is consistently down, you can route requests to an alternate system or cache data to maintain partial functionality.
if (ServiceStatus.isDown()) {
useCachedData();
} else {
makeCallout();
}
Batch Callsouts for Large Data Volumes
When dealing with large datasets, avoid making excessive individual callouts. Instead, batch your requests. You can use Batch Apex or Queueable Apex to handle large volumes asynchronously and avoid breaching limits.
public class MyBatchClass implements Database.Batchable<SObject> {
public void execute(Database.BatchableContext bc, List<SObject> scope) {
// Handle batch callouts
}
}
Monitoring and Proactive Management of Callout Errors
To ensure your Salesforce org remains healthy and resilient to callout issues, ongoing monitoring, and proactive management are essential.
Salesforce Health Check
Perform regular Salesforce Health Checks to ensure your SSL certificates, API limits, and configurations are up to date. Salesforce’s built-in tools allow you to assess and rectify potential issues before they cause errors.
External API Monitoring Tools
Use third-party monitoring tools like Pingdom, New Relic, or Datadog to continuously monitor external API uptime and performance. These tools alert you if the external service is slow or down, helping you prepare for or prevent callout errors.
Custom Monitoring Dashboards
Create a custom Salesforce dashboard that aggregates and displays key metrics related to your API usage, callout errors, and system performance. This can be done using Salesforce Reports or external BI tools like Tableau.
// Query error logs for reporting
SELECT ErrorMessage__c, CreatedDate FROM ErrorLog__c WHERE Status__c = 'Failed'
Automation of Error Notifications
You can automate error notifications using Salesforce’s Email Alerts or Chatter Notifications. Set up triggers or workflows to notify key team members whenever a significant callout error occurs.
if (res.getStatusCode() != 200) {
sendErrorNotification(res.getStatus());
}
Continuous Integration and Deployment (CI/CD) Pipelines
Ensure that your integration processes include automated testing for API callouts. By using tools like Jenkins, CircleCI, or GitLab, you can integrate testing frameworks that validate API endpoints and prevent errors from reaching production.
Real-World Scenarios of Callsout Errors in Salesforce
Understanding real-world scenarios helps illustrate the various challenges developers face and the solutions that mitigate them.
Exceeding API Limits During Peak Hours
A retail company experiences callout errors because its Salesforce org exceeds API limits during peak sales hours. To resolve this, the developers implemented a queuing mechanism that temporarily holds non-urgent requests and processes them during off-peak hours.
if (Limits.getCallouts() >= LIMIT_THRESHOLD) {
queueCalloutForLater();
}
SSL Certificate Expiration Causing Callsout Failures
A healthcare provider faced persistent callout errors due to an expired SSL certificate on their external API server. Once the issue was diagnosed, they replaced the expired certificate, and Salesforce callouts resumed without further issues.
Handling Timeout Errors for Slow Third-Party Services
A logistics company integrated Salesforce with a third-party API that occasionally experienced long response times. By implementing retry logic with exponential backoff, they reduced the number of callout errors caused by timeouts.
Integer retryCount = 0;
while (retryCount < MAX_RETRIES) {
try {
HttpResponse res = http.send(req);
if (res.getStatusCode() == 200) break;
} catch (System.CalloutException e) {
retryCount++;
retryAfterDelay(retryCount);
}
}