Below are common Azure App Service issues. 'StackifyHttpTracer' Not Found If you encounter the error "Could not load file or assembly 'StackifyHttpTracer' or one of its dependencies. The system cannot find the file specified.", download and install our NuGet package that will install the module into your project and redeploy it: Nuget: Stackify Http Module Using the "WEBSIT
https://docs.stackify.com/troubleshoot-common-azure-app-service-issues
Customize Notification Groups according to specific needs. These groups are the recipients of emails and SMS in the event of an alert being triggered. You can create one or multiple groups wherein each group may have members belonging to another group. This is to ensure that appropriate notifications and alerts are received and the intended recipients can respond immediately. Configuring a No
https://docs.stackify.com/alerts-and-notifications-notification-groups
The following section will cover how to enable sending your Linux syslogs to Retrace to be viewed in the Logs Dashboard with an agent running on your server. Enabling Syslog with Retrace Go to Servers > Locate your Linux server > Click the 3 dots on the right > Click on 'Server Settings' To enable syslog on your server, go to the server settings of the server and check the Syslog che
https://docs.stackify.com/errors-and-logs-configure-syslog-with-the-stackify-agent
To configure your Python application, an Application Programming Interface (API) can be used to send Errors and Logs to Retrace. The step-by-step process is presented below and for more information, visit this Stackify API for Python Github page: https://github.com/stackify/stackify-api-python. Installation and Configuration Python Logging Integration Python logging can be setup to extend
https://docs.stackify.com/configure-python-logging
Downloads and Includes The stackify-log-logback project is open source and hosted on GitHub here . Maven artifacts are available in the central Maven repository within a few hours after a new release. https://search.maven.org/#search%7Cga%7C1%7CStackify The group id is com.stackify. The artifact id is stackify-log-logback. Substitute the version number you wish to use in the dependency
https://docs.stackify.com/errors-and-logs-logback
<Mask enabled="true">IP</Mask> <Mask enabled="true">[aeiou]</Mask> </StackifyLog> <!--... Other appenders... --> </Appenders> <!-- ... Other configuration tags... --> Sending Logs Through a Proxy If you are wanting to send your logs into Stackify through a proxy, you will want to set the 'https.proxyHost' and 'https
https://docs.stackify.com/errors-and-logs-log4j
Retrace makes it easy to track and monitor any number of custom metrics, business Key Performance Indicators (KPIs), and other important application events. It can monitor, trend, and set up alerts as it provides insights into the application or its users' behavior. Why Custom Metrics with Retrace? There are many ways to track application metrics. Some include Windows Performance Counters, JM
https://docs.stackify.com/custom-metrics-overview
By default, Prefix will only capture unhandled exceptions for a request. In order to capture handled exceptions as well, you will need to set the following configuration in a Stackify.json file: "CaptureAllExceptions": true { "AppName": "MyApp", "Environment": "MyEnvironment", "CaptureAllExceptions": true } This will allow for all exceptions, both unhandled and handled, to show up inl
https://docs.stackify.com/capturing-exceptions-in-prefix
The custom configuration file needs to be named 'stackify-apm.json' and be located in the classpath. You can configure additional classes and methods that you want to instrument. Example: [ { "Class": "com.stackify.example.util.ClassToBeInstrumented", "Method": "methodToBeInstrumented" }, { "Class": "com.stackify.example.util.ClassToBeInstrumented",
https://docs.stackify.com/custom-profiling-configure-for-java
This document details how to setup AWS CloudWatch Log Collection . Stackify AWS Monitor Setup AWS CloudWatch Logs support requires a Stackify AWS Monitor server to forward log data to Stackify. A monitoring server is required for each AWS region you are logging in. Log into your AWS account and click the Launch Stack button below to deploy the CloudFormation Stack Cloud Formation T
https://docs.stackify.com/collecting-aws-cloudwatch-logs
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