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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 Systems
- Ingesting Time-Series Data with Prometheus for Government Applications
- Capturing Logs with Logstash and Beats for Government Agencies
- Normalizing Data for Cross-Source Correlation in Government Environments
Building Observability Dashboards for Government Operations
- Visualizing Metrics with Grafana for Government Use
- Building Kibana Dashboards for Log Analytics in Government Systems
- Using Elasticsearch Queries to Extract Operational Insights for Government Agencies
Anomaly Detection and Incident Prediction for Government
- Exporting Observability Data to Python Pipelines for Government Analysis
- Training Machine Learning Models for Outlier Detection and Forecasting in Government Contexts
- Deploying Models for Live Inference in the Observability Pipeline for Government Operations
Alerting and Automation with Open Tools for Government
- Creating Prometheus Alert Rules and Alertmanager Routing for Government Systems
- Triggering Scripts or API Workflows for Auto-Response in Government Environments
- Using Open-Source Orchestration Tools (e.g., Ansible, Rundeck) for Government Operations
Integration and Scalability Considerations for Government
- Handling High-Volume Ingestion and Long-Term Retention in Government Systems
- Security and Access Control in Open-Source Stacks for Government Use
- Scaling Each Layer Independently: Ingestion, Processing, Alerting for Government Operations
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 Use
- Best Practices for Running and Maintaining AIOps in Production for Government Agencies
Summary and Next Steps for Government Implementation
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 with a focus on operational tasks
- DevOps platform leads and infrastructure architects
14 Hours
