Configure Self-Hosted LogScale from Scratch
Complete journey from deployment to production-ready self-hosted system
Complete Configuration Journey
Follow this step-by-step path to deploy and configure LogScale from the ground up. Each step builds on the previous one, taking you from initial deployment to a production-ready system with ingestion, access control, and monitoring in place.
Stage 1 - Deploy LogScale
Install and deploy your LogScale cluster. Start with local testing, plan your deployment architecture, configure storage, select a reference architecture, and validate your cluster.
Stage 2 - Configure Identity and Access Management
Set up authentication and identity providers before creating users and assigning permissions. Configure SAML, LDAP, or OAuth to connect LogScale to your identity system.
Stage 3 - Build Organization Structure
Create your repository and view hierarchy. Design a multi-tenant structure that supports your teams, configure repositories to store data, and create views for querying across data sources.
Stage 4 - Configure Role-Based Access Control
Apply permissions to your organization structure. Create roles, build groups, assign users to repositories and views, and implement the principle of least privilege.
Stage 5 - Ingest Data
Connect data sources and start ingesting logs. Configure collectors, integrations, and custom data shippers. Set up parsers to structure incoming data and create ingest tokens for authentication.
Getting Data Into LogScale
guidebeginnerComplete workflow for connecting data sources including collectors, integrations, and custom shippers
Create Ingest Tokens
guideintermediateGenerate and manage ingest tokens for data source authentication
Configure Parsers
guideintermediateSet up parsers to structure and enrich incoming log data
Stage 6 - Learn to Query Your Data
Now that data is flowing into LogScale, learn how to query and analyze it using CQL (CrowdStrike Query Language). Start with basic queries and progress to advanced analysis techniques.
Getting Started with CQL
guidebeginnerComplete workflow for learning CQL from basics to advanced queries
CQL Learning Paths by Example
guidebeginnerFour workshop-style learning paths with curated examples for different audiences
Getting Started with Searching Data
guidebeginnerLearn the fundamentals of searching and filtering data in LogScale
Stage 7 - Configure Data Export and Integrations
Export data from LogScale to external systems. Set up alerts, configure webhooks, create scheduled searches, and integrate with SIEM platforms and ticketing systems.
Getting Data Out of LogScale
guideintermediateComplete workflow for exporting data including alerts, scheduled searches, and integrations
Configure Alerts
guideintermediateSet up alerts to notify you when specific conditions occur in your data
Scheduled Searches
guideintermediateCreate automated queries that run on a schedule and export results
Stage 8 - Configure System Settings
Tune LogScale for your workload. Configure dynamic settings for performance, set resource limits, configure storage lifecycle policies, and optimize query execution.
Stage 9 - Configure Storage and Archiving
Set up long-term data retention and archiving. Configure S3 or compatible object storage for archival, define snapshot policies, and plan your storage lifecycle to balance cost and compliance.
Stage 10 - Implement Security Hardening
Secure your LogScale deployment. Enable audit logging, configure TLS encryption, implement network security, apply compliance controls, and follow security best practices.
Stage 11 - Monitor Cluster Health
Set up monitoring and health checks for your LogScale cluster. Monitor ingest lag, query performance, storage utilization, and node health. Configure alerts for operational issues.
Stage 12 - Production Readiness Checklist
Verify your configuration is production-ready. Review security settings, test data ingestion, validate backup procedures, document your architecture, and train your team.
