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We're excited to announce the release of our new cloud-to-cloud source for Trend Micro. This source helps you to collect alert details from the Trend Micro platform, and ingest them into Sumo Logic for streamlined analysis. [Learn more](/docs/send-data/hosted-collectors/cloud-to-cloud-integration-framework/trend-micro-source).
Copy file name to clipboardExpand all lines: docs/alerts/monitors/create-monitor.md
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## Step 3. Notifications (optional)
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Configure who gets notified when the monitor triggers an alert. When a trigger condition is met, you can send notifications to other people and services. Metrics monitors have an option to send notifications either as a group or separately. **Group Notifications** define whether you want single notifications per time series that match the Monitor query or you want group notifications where you receive a single notification for the entire Monitor. Log monitors always group notifications.
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Configure who gets notified when the monitor triggers an alert. When a trigger condition is met, you can send notifications to other people and services.
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Notifications will be sent when the monitor is triggered as configured in the [Alert Grouping](/docs/alerts/monitors/alert-grouping/) section of the monitor.
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<img src={useBaseUrl('img/alerts/monitors/new-monitor-notifications.png')} alt="Screenshot of the Notifications section in Sumo Logic's 'New Monitor' setup page. It includes an option to select the preferred notification time zone, set to (GMT-06:00) America/Chicago. Below is a section to configure connection types for notifications, with options for Critical, Alert, Recovery, Warning, and Missing Data. There is also a button to add a new notification." style={{border: '1px solid gray'}} width="800"/>
Copy file name to clipboardExpand all lines: docs/get-started/sign-up.md
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Your subscription will be cancelled immediately.
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##Discover Sumo Logic with preloaded data
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### Kickstart your Sumo Logic experience with placeholder data
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To help you get started quickly, preloaded placeholder data is available for trial users. This feature lets you jump in and explore Sumo Logic right away, with sample dashboards and data tailored to your needs.
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Get started with Sumo Logic effortlessly using **Kickstart Data**, preloaded placeholder data designed to help you explore and understand the platform’s capabilities. With Kickstart Data, you can dive in immediately and explore Sumo Logic's features without needing to set up your own data sources.
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For more information on maximizing this feature, check out our [Quickstart Guide](/docs/get-started/quickstart).
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Experience the platform with sample dashboards and data tailored to your needs, allowing you to test searches, dashboards, and alerts right away.
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Whether you're new to Sumo Logic or evaluating its features, Kickstart Data provides a hands-on way to experience the power of the platform. For more information, check out our [Quickstart Guide](/docs/get-started/quickstart).
Copy file name to clipboardExpand all lines: docs/integrations/amazon-aws/application-load-balancer.md
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---
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id: application-load-balancer
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title: AWS Application Load Balancer
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description: The Sumo Logic App for AWS Elastic Load Balancing ULM - Application is a unified logs and metrics (ULM) App that gives you visibility into the health of your Application Load Balancer and target groups.
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description: The Sumo Logic app for AWS Elastic Load Balancing ULM - Application is a unified logs and metrics (ULM) app that gives you visibility into the health of your Application Load Balancer and target groups.
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---
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import useBaseUrl from '@docusaurus/useBaseUrl';
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The AWS Application Load Balancer functions at the application layer, receives requests, evaluates the listener rules in priority order to determine which rule to apply, and then selects a target from the target group.
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The Sumo Logic App for AWS Application Load Balancing uses logs and metrics to give you visibility into the health of your Application Load Balancer and target groups. Use the pre-configured dashboards to understand the latency, request and host status, threat intel, and HTTP backend codes by availability zone and target group.
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The Sumo Logic app for AWS Application Load Balancing uses logs and metrics to give you visibility into the health of your Application Load Balancer and target groups. Use the pre-configured dashboards to understand the latency, request and host status, threat intel, and HTTP backend codes by availability zone and target group.
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## Log types
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### Field Extraction Rule(s)
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Create Field Extraction Rule for AWS Application Load Balancer Access Logs. Learn how to create Field Extraction Rule [here](/docs/manage/field-extractions/create-field-extraction-rule).
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Create Field Extraction Rule (FER) for AWS Application Load Balancer Access Logs. Learn how to create Field Extraction Rule [here](/docs/manage/field-extractions/create-field-extraction-rule).
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```sql
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Rule Name: AwsObservabilityAlbAccessLogsFER
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## Installing the AWS Application Load Balancer app
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Now that you have set up collection for AWS Application Load Balancer, install the Sumo Logic App to use the pre-configured searches and dashboards that provide visibility into your environment for real-time analysis of overall usage.
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import AppInstall from '../../reuse/apps/app-install.md';
* Monitor incoming client locations for all 5XX, 4XX, and 3XX error responses.
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* Quickly correlate error responses using load balancer access logs and AWS CloudWatch metrics to determine the possible cause for failures and decide corrective actions.
* Identify known malicious IPs that access your load-balancers and use firewall access control lists to prevent them from sending you traffic going forward.
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* Monitor the malicious confidence level for all incoming malicious IP addresses the threats.
The **AWS Application Load Balancer - CloudTrail Audit** dashboard provides a comprehensive overview of AWS Application Load Balancer activities through CloudTrail audit logs. It visualizes successful and failed events globally, event trends, error details, and user activities, offering insights into load balancer performance, security, and usage patterns.
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Use this dashboard to:
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* Monitor the geographical distribution of successful and failed load balancer events, allowing for quick identification of regions with high activity or potential issues.
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* Track the overall success rate of load balancer events and analyze trends over time, helping to identify any sudden changes or patterns in performance.
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* Investigate specific error events, including their details, frequency, and associated users, enabling faster troubleshooting and resolution of issues.
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* Identify the most common error types and the users experiencing the highest failure rates, facilitating targeted improvements and user support.
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