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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 strategy.

Data Collection and Aggregation

  • Ingesting time-series data with Prometheus.
  • Capturing logs using Logstash and Beats.
  • Normalizing data for cross-source correlation.

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 machine learning models for outlier detection and forecasting.
  • Deploying models for live 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 automated responses.
  • 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.
  • Scaling each layer independently: ingestion, processing, and alerting.

Real-World Applications and Extensions

  • Case studies covering 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

  • Experience with observability tools like Prometheus or ELK.
  • Proficiency in Python and foundational knowledge of machine learning.
  • Understanding of IT operations and alerting workflows.

Target Audience

  • Senior site reliability engineers (SREs).
  • Data engineers focused on operations.
  • DevOps platform leads and infrastructure architects.
 14 Hours

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Training solutions designed exclusively for businesses.

  • Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
  • Flexible Schedule: Dates and times adapted to your team's agenda.
  • Format: Online (live), In-company (at your offices), or Hybrid.
Investment

Price per private group, online live training, starting from 2600 € + VAT*

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