A tailored course, built for your situation
Mastering Infrastructure Monitoring with PRTG and API-Driven Analytics
Leverage real-time data to optimize system performance and drive operational clarity
$199 one-time
24-hour access provisioning
30-day money-back guarantee
Hand-built implementation playbook
12 modules. 12 chapters per module. 144 chapters total.
12 modules, each with 12 chapters (144 chapters total), text-based, plus downloadable templates and a hand-built implementation playbook delivered alongside course access.
Sifting through raw monitoring data without clear insights slows response and obscures trends
The situation this course is for
IT professionals often drown in alerts and metrics without a systematic way to derive meaning. Static dashboards miss patterns, and manual checks don't scale. The gap isn't data, it's structured analysis. Without a reliable method to query and interpret historic utilization, teams react too late or overlook systemic risks until failure occurs. This creates inefficiency, extended downtime, and eroded stakeholder trust.
Who this is for
A technically proficient IT or systems engineer who values precision, automation, and operational excellence, currently using or evaluating PRTG for infrastructure monitoring
Who this is not for
Individuals seeking introductory IT training or non-technical overviews of network tools
What you walk away with
- Extract and interpret CPU, memory, and disk utilization trends using PRTG API
- Build automated queries for daily performance summaries
- Design alert thresholds based on historical baselines
- Generate compliance-ready system health reports
- Integrate monitoring insights into incident response workflows
The 12 modules (with all 144 chapters)
Module 1. Introduction to Infrastructure Monitoring with PRTG
Establish the foundation of PRTG monitoring, define key performance indicators, and understand the role of API access in modern observability.
12 chapters in this module
- What is infrastructure monitoring
- PRTG architecture overview
- Core sensor types explained
- Navigating the dashboard
- Setting up user roles
- Understanding data retention
- API access fundamentals
- Authentication methods
- Rate limits and best practices
- Querying live data
- Interpreting status codes
- Initial setup checklist
Module 2. PRTG API Fundamentals
Learn how to authenticate, structure requests, and retrieve monitoring data programmatically using the PRTG API.
12 chapters in this module
- REST API principles
- Obtaining your API key
- GET vs POST methods
- Building request URLs
- Reading JSON responses
- Error code reference
- Using curl effectively
- Parsing XML output
- Testing endpoints safely
- Rate limiting strategies
- Session management
- API security hygiene
Module 3. Querying CPU Utilization Data
Extract and analyze CPU usage across devices, identify peak loads, and establish performance baselines.
12 chapters in this module
- Locating CPU sensors
- Filtering by device group
- Retrieving time-series data
- Aggregating hourly averages
- Detecting sustained spikes
- Normalizing multi-core data
- Exporting for analysis
- Setting context thresholds
- Correlating with events
- Visualizing trends
- Automating daily reports
- Alerting on outliers
Module 4. Memory Utilization Analysis
Monitor RAM consumption across systems, detect memory leaks, and forecast capacity needs.
12 chapters in this module
- Identifying memory sensors
- Understanding used vs free
- Tracking committed memory
- Parsing percentage metrics
- Detecting gradual growth
- Baseline establishment
- Cross-device comparison
- Handling virtualized hosts
- Exporting memory trends
- Correlating with CPU
- Predicting saturation
- Optimizing polling intervals
Module 5. Disk Space Monitoring at Scale
Track disk utilization trends, forecast depletion, and prevent outages with proactive alerts.
12 chapters in this module
- Locating volume sensors
- Reading free vs total space
- Parsing drive letter data
- Calculating percent used
- Historical trend extraction
- Forecasting fill rates
- Setting dynamic thresholds
- Handling mount points
- Multi-volume correlation
- Alerting on projections
- Automated cleanup triggers
- Reporting per department
Module 6. Historical Data Extraction
Use PRTG’s API to retrieve past performance data and build accurate system behavior models.
12 chapters in this module
- Understanding data retention
- Specifying date ranges
- Choosing time intervals
- Batch request strategies
- Handling large responses
- Storing historical sets
- Normalizing timestamps
- Aligning with events
- Exporting for BI tools
- Caching best practices
- Reducing API load
- Validating completeness
Module 7. Calculating Averages and Trends
Transform raw data into meaningful metrics by computing rolling averages and identifying long-term patterns.
12 chapters in this module
- Simple vs weighted averages
- Rolling window calculation
- Median vs mean usage
- Smoothing noisy data
- Identifying seasonality
- Detecting step changes
- Outlier filtering
- Trendline generation
- Confidence intervals
- Automating computations
- Storing derived metrics
- Visualizing progression
Module 8. Automating Performance Reports
Generate scheduled reports that deliver key utilization metrics to stakeholders without manual effort.
12 chapters in this module
- Defining report scope
- Scheduling API jobs
- Formatting CSV output
- Generating PDF summaries
- Emailing results automatically
- Branding reports
- Including trend commentary
- Highlighting exceptions
- Archiving past reports
- Role-based distribution
- Integrating with Slack
- Logging delivery status
Module 9. Building Custom Dashboards
Create tailored visualizations that surface critical metrics for different audiences.
12 chapters in this module
- Identifying audience needs
- Selecting key metrics
- Designing layout flow
- Embedding PRTG widgets
- Using external tools
- Incorporating API data
- Applying color logic
- Ensuring mobile view
- Updating dynamically
- Securing access
- Version control
- Gathering feedback
Module 10. Integrating with Incident Response
Link monitoring data to incident workflows for faster diagnosis and resolution.
12 chapters in this module
- Triggering alerts
- Enriching tickets
- Automating root cause hints
- Linking to runbooks
- Escalation paths
- Post-incident review data
- Correlating across systems
- Reducing MTTR
- Validating fixes
- Feedback loops
- Audit trail creation
- Compliance alignment
Module 11. Capacity Planning with PRTG Data
Use historical trends to forecast infrastructure needs and justify upgrades.
12 chapters in this module
- Projecting CPU growth
- Memory demand forecasting
- Disk expansion planning
- Budget justification
- Modeling upgrade impact
- Virtual machine density
- Right-sizing instances
- Cloud cost implications
- Reporting to leadership
- Scenario modeling
- Risk of under-provisioning
- Documenting assumptions
Module 12. Advanced Automation and Scripting
Extend PRTG’s capabilities with custom scripts that automate complex monitoring tasks.
12 chapters in this module
- Choosing scripting language
- Handling authentication
- Looping through devices
- Batch processing sensors
- Error handling
- Logging actions
- Scheduling with cron
- Using config files
- Parameterizing scripts
- Testing safely
- Version control
- Sharing with team
How this maps to your situation
- You're evaluating PRTG for enterprise monitoring
- You need to automate performance reporting
- You're troubleshooting recurring resource bottlenecks
- You're building a data-driven case for infrastructure upgrades
Before vs. after
Before
Manually checking dashboards, reacting to outages, and struggling to prove infrastructure needs with incomplete data
After
Automatically extracting and analyzing system metrics, predicting issues, and delivering clear insights that drive decisions
What's included with your purchase
- 12 modules with 12 chapters each (144 chapters)
- Downloadable templates and worked examples for every module
- Hand-built implementation playbook delivered alongside course access
- 30-day money-back guarantee
Delivery and format
- Course and learning environment access provisioned within 24 hours of purchase
- Hand-built implementation playbook delivered alongside course access
Format: Text-based modules and chapters in the Art of Service learning environment, plus downloadable templates and worked examples for every chapter, plus the hand-built implementation playbook delivered alongside course access.
Time investment: Approximately 3 hours per module, designed for flexible, self-paced learning with immediate applicability.
If nothing changes
Without structured monitoring and analysis, teams remain reactive, miss early warnings, and struggle to justify investments, leading to avoidable downtime and eroded trust in IT operations.
How this compares to the alternatives
Unlike generic IT courses, this program focuses exclusively on PRTG and API-driven analytics, offering deeper, implementation-ready skills than vendor documentation or community forums.
Frequently asked
Is this course suitable if I'm new to PRTG?
Yes, foundational modules provide onboarding while advanced sections support experienced users.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Do I need programming experience?
Basic scripting helps but isn't required, examples include clear explanations and templates.
$199 one-time. Approximately 3 hours per module, designed for flexible, self-paced learning with immediate applicability..
Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.
30-day money-back guarantee·
144 chapters·
Hand-built playbook included·
Account access within 24 hours