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lengthen short meta descriptions
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docs/alerts/index.md

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slug: /alerts
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title: Alerts
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description: Create Monitors and Scheduled Searches to notify users of changing conditions.
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description: Configure alerts in Sumo Logic to monitor log data for anomalies and notify teams in real time about important system and security events.
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import useBaseUrl from '@docusaurus/useBaseUrl';

docs/api/index.md

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slug: /api
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title: Sumo Logic APIs
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description: Sumo Logic exposes APIs to access resources and data from third-party scripts and applications.
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description: Automate log ingestion, searches, dashboards, and more using Sumo Logic's comprehensive API for seamless integration with external systems.
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import useBaseUrl from '@docusaurus/useBaseUrl';

docs/apm/traces/get-started-transaction-tracing/opentelemetry-instrumentation/java/traceid-spanid-injection-into-logs-configuration.md

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id: traceid-spanid-injection-into-logs-configuration
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title: Java TraceId and SpanId Injection into Logs Configuration
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sidebar_label: TraceId and SpanId Injection into Logs Configuration
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description: Learn how to configure traceId and spanId data injection into user logs in Java applications.
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description: Correlate traces with logs by injecting trace IDs and span IDs into Java applications using OpenTelemetry instrumentation in Sumo Logic.
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This page describes how to configure **spanId** and **traceId** data injection into user logs in Java applications.

docs/dashboards/filter-template-variables.md

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id: filter-template-variables
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title: Filtering Dashboards with Template Variables
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sidebar_label: Filtering with Template Variables
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description: Learn how to use template variables to dynamically filter dashboard data.
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description: Use filter and template variables in dashboards to create dynamic visualizations that respond to changing input and user-defined criteria.
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import useBaseUrl from '@docusaurus/useBaseUrl';

docs/get-started/system-requirements.md

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id: system-requirements
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title: System Requirements
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sidebar_label: System requirements
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description: Supported Browsers and other requirements for running Sumo Logic.
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description: Review the system requirements to ensure your environment is compatible with Sumo Logic for optimized performance and reliability.
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Sumo Logic has a few system requirements, which are documented in the following topics.

docs/integrations/index.md

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slug: /integrations
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title: Apps and Integrations
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description: Documentation for Sumo Logic apps and integrations.
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description: Discover integrations that connect Sumo Logic to popular services, apps, and platforms for centralized data collection and analysis.
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keywords:
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- apps
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- app catalog

docs/integrations/microsoft-azure/index.md

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slug: /integrations/microsoft-azure
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title: Microsoft and Azure
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description: Learn how to use the Sumo Logic apps for Microsoft and Microsoft Azure.
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description: Integrate Microsoft Azure with Sumo Logic to enable real-time monitoring, log collection, and cloud performance analytics across Azure services.
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import useBaseUrl from '@docusaurus/useBaseUrl';

docs/manage/fields.md

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id: fields
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title: Fields
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sidebar_label: Fields
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description: Learn how to define and manage the assignment of metadata to your logs.
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description: Manage fields in Sumo Logic to control how log data is parsed and organized, improving search efficiency and enabling advanced data filtering.
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import useBaseUrl from '@docusaurus/useBaseUrl';

docs/manage/security/enable-support-account.md

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title: Enable a Support Account
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description: Support accounts help you address support issues when they arise.
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description: Enable a secure temporary support account to allow Sumo Logic engineers to troubleshoot and resolve issues directly in your environment.
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import useBaseUrl from '@docusaurus/useBaseUrl';

docs/search/get-started-with-search/search-basics/export-search-results.md

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title: Export Search Results
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description: Up to 100,000 rows can be exported as a CSV (comma-separated values) text file.
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description: Export your search results in Sumo Logic to CSV or other formats to share insights, report findings, or use log data outside the platform.
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After your search query completes, you can download up to 100,000 rows of results from your browser as a CSV (comma-separated values) text file. If your results are more than 100,000 rows, then run multiple searches with a shorter time range and export the respective search results.

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