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To check error and access logs on cloud hosting, first identify the provider, hosting product, application or instance, and approximate failure time. Then select the log source that matches the symptom: application logs for exceptions, web or request logs for HTTP activity, platform logs for restarts, and audit or deployment logs for administrative changes. Open the provider’s console or CLI, choose the exact project and resource, narrow the time range, and filter by severity, status code, path, request ID, or error text.
Cloud platforms do not expose one universal “error log.” Logging may need to be enabled or routed, permissions can hide entries, and retention differs by product. The workflow below shows where to look on AWS, Azure App Service, Google Cloud, and Heroku, how to stream a live reproduction, and what to check when expected entries are missing.
What do error and access logs contain?
“Error logs” can refer to several evidence sources. Choosing the wrong source is a common reason a search returns nothing.
- Application logs: Exceptions, stack traces, startup messages, framework output, and messages written by your code.
- Access or web-server logs: Individual HTTP requests, methods, paths, client addresses, user agents, response codes, and request timing when the server records those fields.
- Platform logs: Container or instance starts, stops, restarts, health-check failures, scaling events, and provider-side errors.
- Deployment logs: Build, release, migration, and deployment activity.
- Audit or API logs: Administrative actions such as configuration changes, permission changes, and API calls.
A 500 response with no application exception may require both the access log (to confirm the request and status code) and the application or platform log (to find the cause). A process that repeatedly restarts may never write a useful application exception, so platform events and startup output become more important.
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How do I check cloud-hosting logs step by step?
Use this sequence regardless of provider. Provider-specific paths appear later.
- Identify the scope. Record the provider, product (for example, a web app, virtual machine, container service, or managed database), application or instance name, deployment version, and the approximate time of the failure. Note the region or environment if the provider separates them.
- Describe the symptom. Decide whether you need an exception, an HTTP request and response, a restart, a deployment result, or an administrative change. Write down the URL path, HTTP method, status code, user account, and any visible request or trace ID.
- Open the provider’s log viewer. Select the exact account, project, subscription, application, resource group, instance, or environment. A viewer opened at the wrong scope can look empty even while logs exist elsewhere.
- Set a narrow time window. Start with a few minutes around the event and account for the host’s timezone. Expand the range only if the event is not found.
- Filter before reading. Use severity, status code, path, instance, request ID, correlation ID, or a distinctive error phrase. Narrow filters make repeated health checks and unrelated traffic less distracting.
- Compare sources. Match an application timestamp with the corresponding access entry and then with platform or deployment events. Keep the original timestamp, timezone, resource name, and identifiers in your incident notes.
- Investigate an empty result. Confirm that logging is enabled or routed, your identity has permission, the query includes the correct resource, and the provider’s product has not placed the records in an alternate location such as a file dump, serial console, or drain.
- Preserve evidence. Export or copy the relevant entries before retention expires. Redact tokens, passwords, cookies, and personal data before sharing logs.
Which log should I use for a particular symptom?
| Symptom or question | Best first source | Useful cross-check |
|---|---|---|
| “Why did this request return 404 or 500?” | Access or web-server log | Application exception log |
| “Why did the process crash or restart?” | Platform and application startup logs | Health-check and deployment events |
| “Did my new release run?” | Deployment log | Application startup output and audit log |
| “Who changed this setting?” | Audit or API log | Deployment and platform events |
| “Is the app receiving any traffic?” | Access log | Load-balancer or platform request metrics |
Access records prove that a request reached a particular logging layer; they do not by themselves prove that application code completed successfully. Conversely, an exception without a matching access entry may come from a background job, startup hook, queue consumer, or an earlier proxy.
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How do I check logs in AWS CloudWatch?
Amazon CloudWatch Logs can centralize log files from services including EC2, CloudTrail, and Route 53, and it can search for error codes or patterns and filter by fields. The exact log group, stream, and ingestion setup depend on the service and your configuration; AWS resources do not all send every relevant log automatically. See AWS CloudWatch Logs documentation.
Console workflow
- Open the AWS console and choose the correct account and region.
- Open CloudWatch, then Logs and Log groups. Select the group associated with the workload; names commonly reflect an application, function, container, or operating-system agent.
- Open a log stream or use the log-insights query interface when you need to search multiple streams.
- Set the start and end time around the incident. Search for the exception class, error code, request ID, or HTTP status rather than scanning an entire day.
- Compare the application stream with platform or load-balancer streams when the request appears to fail before application code runs.
If a group is absent, verify that the service has a configured agent, integration, or destination and that the execution role can publish logs. CloudTrail and application output are separate sources even when both are visible through CloudWatch. Retention and storage are configured per log group or service, so do not assume a universal period.
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How do I check error and access logs in Azure App Service?
Azure App Service separates application logs, web-server logs, detailed error pages, failed request tracing, and deployment logs. On Windows apps, enable detailed error messages and failed request tracing under Monitoring > App Service logs. Failed request tracing is useful for seeing IIS processing and the time spent in individual components. Web-server logs use W3C extended format and can include the HTTP method, URI, client IP, user agent, and response code. The Microsoft procedure is documented at Enable diagnostic logs for apps in Azure App Service.
Enable the source before reproducing the problem
- In the Azure portal, open the App Service and choose Monitoring > App Service logs.
- Enable the application, web-server, detailed-error, or failed-request-tracing option that matches your symptom. On Windows, select the relevant filesystem or blob destination where offered.
- Save the settings, reproduce the request, and return to Monitoring > Log stream for live output.
For supported apps, the CLI command is az webapp log tail --name APP --resource-group GROUP. Microsoft cautions that this tail command might not work with Linux-based App Service plans, so use the portal or the product’s supported log destination when the command produces no output.
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Download a diagnostic dump
For prior events or a complete file collection, open the app’s Kudu site and choose Tools > Diagnostic dump. Linux and custom-container dumps include console output for the host and container. A scaled-out app has logs for each instance, so inspect the instance that handled the request rather than assuming one shared file.
Understand Azure storage limits
Filesystem logging is intended for temporary debugging in some configurations and is subject to storage limits. For Windows App Service, filesystem application logging turns itself off after 12 hours; blob logging is intended for longer-term storage. These behaviors apply to the specified Windows logging types, not to every Azure product or every operating system. Choose a durable destination when you need history beyond a short diagnostic session.
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How do I search logs in Google Cloud?
Google Cloud Logs Explorer displays entries stored in log buckets. Select the correct project, folder, organization, or resource scope, set a time range, and add a query such as severity>=ERROR. Results depend on the selected scope, time range, query, IAM permissions, and whether the service is configured to emit the log. Use View and analyze log entries and Google Cloud platform logs for the current interface and service details.
Logs Explorer procedure
- Open Logs Explorer and choose the project, folder, organization, or resource selector that contains the workload.
- Choose a short time range around the incident.
- Select the resource type and service when available, then add filters for severity, HTTP status, method, path, instance, trace, or a distinctive message.
- Run the query and open an entry to inspect structured fields, payload, timestamp, and trace information.
- Follow the trace or request identifier into related entries, then compare with deployment and platform records.
Some services require their own configuration before platform logs are emitted or routed. If Compute Engine console output is missing from Logs Explorer, Google recommends checking the VM’s Serial port 1 (console); serial output can be configured for Cloud Logging. Ingestion and display can be delayed under heavy load. An overly broad query scope can also cause query errors, so reduce the resource scope and time window before retrying.
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Heroku divides logs into app logs (your application output), system logs (platform events such as restarts), and API logs (administrative actions). Run heroku logs --app APP_NAME for recent entries, or open the app dashboard and select View logs. The provider’s documentation is at Heroku Logging.
Use drains for history and analysis
A logging add-on or log drain can send records to longer-term or external analysis. Capabilities vary by platform generation and configuration, so confirm which destination is attached to the app and whether it receives app, system, and API categories.
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Apps with Private Space Logging enabled cannot display logs in the usual app views. Retrieve those records from the configured log drain instead. If the drain is unavailable, investigate its endpoint, credentials, and delivery status before treating the absence as evidence that the application generated no logs.
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An empty viewer usually indicates a scope, configuration, permission, or timing problem rather than a problem-free request.
Check the scope and time
- Confirm the exact project, account, subscription, app, resource group, region, instance, and environment.
- Use the event’s actual timezone and widen the window by a few minutes to account for clock skew and ingestion delay.
- Check every instance in a scaled-out deployment; the request may not have reached the instance you first opened.
Check whether logs are enabled and routed
- Verify the application, web-server, platform, audit, or deployment source is enabled for this product.
- Confirm an agent, integration, export, bucket, blob destination, drain, or subscription is configured where required.
- Remember that a central viewer cannot show records that the workload never emitted.
Check permissions and query filters
- Ask whether your IAM or portal role can read the selected log group, bucket, project, or drain.
- Remove restrictive filters, then add back one condition at a time.
- Search for a known startup message or health-check request to validate that the viewer is working.
Check alternate locations
- Use Azure Log stream or a Kudu diagnostic dump when filesystem entries are not visible in the portal.
- Use Google Compute Engine Serial port 1 for console output that is not in Logs Explorer.
- Use a Heroku drain for Private Space Logging.
- For AWS, inspect the service’s configured log group and ingestion agent rather than assuming the resource publishes automatically.
How do I correlate an application error with the failing request?
Start with the most precise shared identifier, then fall back to time and request attributes.
- Copy the application error timestamp including timezone, resource, and instance.
- Find an access entry at the same time and match the HTTP method, path, status code, and client or user context.
- Use a request ID, trace ID, correlation ID, or platform invocation ID when the provider records one.
- Check whether a proxy, gateway, or load balancer generated the status before the request reached the app.
- Look immediately before the error for deployment, configuration, health-check, or restart events.
Different systems use different timestamp precision and formats. Preserve the original value instead of rounding it, and note whether the entry is delayed, sampled, or generated by a background process. A request ID that appears in a client response, access record, and application message is stronger evidence than matching timestamps alone.
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How should I stream, store, and protect logs?
Live streaming is best for reproducing a problem; stored logs and diagnostic dumps are better for events that already happened. Enable the relevant stream before reproducing the failure, because a live viewer cannot recover records that were never retained.
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- Temporary debugging: Use the provider’s stream or filesystem destination, then disable verbose settings when finished.
- Longer investigations: Route records to a durable bucket, blob store, log group, or drain with a documented retention policy.
- Access control: Grant read access only to the people and services investigating the incident. Separate administrative audit access from application-log access where possible.
- Data protection: Remove credentials, session cookies, authorization headers, payment data, and unnecessary personal information before exporting or attaching logs to a ticket.
- Operational notes: Record the query, scope, time range, deployment version, and instance so another engineer can reproduce the search.
Retention, storage limits, and costs vary by provider, service, plan, destination, and configuration. Do not infer a retention period from the presence of a log viewer; verify the setting for the specific workload.
How do the major cloud-hosting log methods compare?
| Provider and interface | Log types and filtering | Enablement and omissions | Live or export options | Permission and retention considerations |
|---|---|---|---|---|
| AWS CloudWatch Logs Documentation |
Application and service streams, with searches for patterns, error codes, and fields. | Log groups and ingestion depend on the service, agent, and workload; not every resource publishes automatically. | Console search and query tools; destinations depend on the configured service. | IAM access, log-group settings, and service-specific retention apply; no universal default. |
| Azure App Service Documentation |
Application, W3C web-server, detailed-error, failed-request, deployment, and console logs. | Enable the needed type under Monitoring > App Service logs. Filesystem limits and OS-specific behavior apply. | Monitoring > Log stream, az webapp log tail where supported, Kudu diagnostic dump, or blob storage. |
Portal permissions and destination settings apply. Windows filesystem application logging can turn off after 12 hours; blob logging is for longer storage. |
| Google Cloud Logs Explorer Interface |
Structured entries filtered by scope, resource, severity, status, trace, and fields such as severity>=ERROR. |
Some services need configuration to emit or route platform logs; broad scopes can fail and ingestion can be delayed. | Logs Explorer; Compute Engine Serial port 1 is an alternate console source. | IAM, selected project/folder/organization scope, bucket routing, and service settings determine visibility and retention. |
| Heroku logs Documentation |
App, system, and API categories; recent-log command and dashboard view. | Private Space Logging requires retrieval from a drain rather than normal app views. | heroku logs --app APP_NAME, dashboard View logs, add-ons, and drains. |
History and analysis depend on the configured add-on or drain and platform generation; access controls apply to the app and destination. |
What is a reliable incident checklist?
- Write down the provider, product, app or instance, region, deployment version, and failure time.
- Capture the URL, method, expected result, observed status code, and any request or trace ID.
- Open the correct log scope and select a narrow time range.
- Search application output for the exception and access logs for the matching request.
- Check platform, deployment, and audit records for restarts or changes immediately before the event.
- Verify enablement, routing, IAM permissions, and alternate locations if the result is empty.
- Export the relevant entries with timestamps and identifiers, redact secrets, and record the query used.
Frequently Asked Questions
Can I view cloud logs without administrator access?
Often you can, but only if your identity has a read role for the specific project, app, log group, bucket, or drain. Ask for narrowly scoped log-view permission rather than broad account administration, and test access at the exact resource where the event should exist.
Why do access logs show a 200 response when users report an error?
The 200 may have been written by a proxy, cached response, health check, or an application that returned an error page inside a successful HTTP response. Compare the response body, upstream status fields, trace identifier, and application log rather than relying on the outer status alone.
How can I find logs for a request made several weeks ago?
First verify the workload’s configured retention and export destination; many default streams are short-lived. Search the durable bucket, blob store, log drain, or external archive using the original request ID and the correct timezone, and check whether older records were sampled or redacted.
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Use it only for a controlled diagnostic window unless your privacy, performance, and storage review allows otherwise. Verbose output can expose secrets, increase ingestion volume, and make important failures harder to find; restore the normal level after reproducing the issue.
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