Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Course Outline
Designing an Open AIOps Architecture
- Overview of essential components in open AIOps pipelines.
- Data flow from ingestion to alerting.
- Tool comparison and integration strategies.
Data Collection and Aggregation
- Ingesting time-series data using Prometheus.
- Capturing logs with Logstash and Beats.
- Normalizing data for correlation across multiple sources.
Building Observability Dashboards
- Visualizing metrics with Grafana.
- Creating Kibana dashboards for log analytics.
- Leveraging Elasticsearch queries to derive operational insights.
Anomaly Detection and Incident Prediction
- Exporting observability data to Python pipelines.
- Training ML models for outlier detection and forecasting.
- Deploying models for real-time inference within the observability pipeline.
Alerting and Automation with Open Tools
- Setting up Prometheus alert rules and Alertmanager routing.
- Triggering scripts or API workflows for automatic response.
- Utilizing open-source orchestration tools (e.g., Ansible, Rundeck).
Integration and Scalability Considerations
- Managing high-volume ingestion and long-term data retention.
- Security and access control within open-source stacks.
- Independently scaling each layer: ingestion, processing, and alerting.
Real-World Applications and Extensions
- Case studies: performance tuning, downtime prevention, and cost optimization.
- Extending pipelines with tracing tools or service graphs.
- Best practices for operating and maintaining AIOps in production.
Summary and Next Steps
Requirements
- Prior experience with observability tools like Prometheus or ELK.
- Practical knowledge of Python and fundamental machine learning concepts.
- Understanding of IT operations and alerting workflows.
Target Audience
- Advanced Site Reliability Engineers (SREs).
- Data engineers involved in operational roles.
- DevOps platform leads and infrastructure architects.
14 Hours
