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Course Outline
Designing an Open AIOps Architecture for Government
- Overview of key components in open AIOps pipelines for government
- Data flow from ingestion to alerting for government operations
- Tool comparison and integration strategy for government use cases
Data Collection and Aggregation for Government
- Ingesting time-series data with Prometheus for government systems
- Capturing logs with Logstash and Beats for government applications
- Normalizing data for cross-source correlation in government environments
Building Observability Dashboards for Government
- Visualizing metrics with Grafana for government agencies
- Building Kibana dashboards for log analytics in government contexts
- Using Elasticsearch queries to extract operational insights for government operations
Anomaly Detection and Incident Prediction for Government
- Exporting observability data to Python pipelines for government analysis
- Training ML models for outlier detection and forecasting in government systems
- Deploying models for live inference in the observability pipeline for government use
Alerting and Automation with Open Tools for Government
- Creating Prometheus alert rules and Alertmanager routing for government notifications
- Triggering scripts or API workflows for auto-response in government operations
- Using open-source orchestration tools (e.g., Ansible, Rundeck) for government tasks
Integration and Scalability Considerations for Government
- Handling high-volume ingestion and long-term retention for government data
- Security and access control in open-source stacks for government compliance
- Scaling each layer independently: ingestion, processing, alerting for government needs
Real-World Applications and Extensions for Government
- Case studies: performance tuning, downtime prevention, and cost optimization in government systems
- Extending pipelines with tracing tools or service graphs for government applications
- Best practices for running and maintaining AIOps in production for government agencies
Summary and Next Steps for Government
Requirements
- Experience with observability tools such as Prometheus or ELK for government
- Working knowledge of Python and machine learning fundamentals
- Understanding of IT operations and alerting workflows
Audience
- Advanced site reliability engineers (SREs)
- Data engineers working in operational roles
- DevOps platform leads and infrastructure architects
14 Hours
