Course Outline

Introduction to AIOps for Government

  • What is AIOps and its significance for government operations
  • Traditional monitoring compared to AIOps-driven observability in the public sector
  • AIOps architecture and key components tailored for government use

Collecting and Normalizing Operational Data for Government

  • Types of observability data: metrics, logs, and traces relevant to government systems
  • Ingesting data from various sources including servers, containers, and cloud environments used by government agencies
  • Utilizing agents and exporters such as Prometheus, Beats, and Fluentd for government operations

Data Correlation and Anomaly Detection in Government Systems

  • Time series correlation and statistical methods applicable to government data
  • Implementing machine learning models for anomaly detection in public sector systems
  • Detecting incidents across distributed government networks

Alerting and Noise Reduction for Government Operations

  • Designing intelligent alert rules and thresholds for government IT environments
  • Suppression, deduplication, and alert grouping to enhance efficiency in government operations
  • Integrating with alert management tools such as Alertmanager, Slack, PagerDuty, or Opsgenie for government use

Root Cause Analysis and Visualization for Government IT

  • Using dashboards to visualize metrics and detect trends in government systems
  • Exploring events and timelines for root cause analysis (RCA) in public sector environments
  • Tracing issues across layers with distributed tracing tools suitable for government operations

Automation and Remediation for Government IT Systems

  • Triggering automated scripts or workflows from incidents in government systems
  • Integrating with IT service management (ITSM) systems such as ServiceNow and Jira for government use
  • Use cases: self-healing, scaling, traffic rerouting for enhanced government operations

Open Source and Commercial AIOps Platforms for Government

  • Overview of tools suitable for government use: Prometheus, Grafana, ELK, Moogsoft, Dynatrace
  • Evaluation criteria for selecting an AIOps platform for government agencies
  • Demonstration and hands-on experience with a selected stack tailored for government needs

Summary and Next Steps for Government AIOps Implementation

Requirements

  • A comprehensive understanding of IT operations and system monitoring concepts for government.
  • Practical experience with monitoring tools or dashboards.
  • Familiarity with fundamental log and metric formats.

Audience

  • Operations teams responsible for infrastructure and applications within government agencies.
  • Site Reliability Engineers (SREs) in the public sector.
  • IT monitoring and observability teams supporting government operations.
 14 Hours

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