Time-Series Forecasting with Prophet and ARIMA
Learn to forecast ops metrics with Prophet and ARIMA: predict capacity exhaustion, alert before thresholds break, and flag anomalies with bands.
What You'll Learn
Understanding Why Ops Teams Need Forecasting
Where acme-shop stands acme-shop runs cart-service and payment-service on Kubernetes.
Understanding Time-Series Data
What makes a time series different A time series is a sequence of measurements taken at regular intervals: CPU every minute, requests per hour, disk...
Setting Up the Forecast Lab
Prepare one environment All the labs in this roadmap share one virtual environment, aiops-lab/.venv. Never install into the system Python.
Building Your First ARIMA Model
What the letters mean ARIMA stands for AutoRegressive Integrated Moving Average, written ARIMA(p, d, q).
Forecasting Ops Metrics with Prophet
Why Prophet exists ARIMA is precise for short forecasts, but two things make it awkward for ops work.
Detecting Anomalies with Prophet Bands
From forecast to detector Prophet's band gives a second use for the same model.
Skills You'll Master
Curriculum Index11 topics
Understanding Why Ops Teams Need Forecasting
Where acme-shop stands acme-shop runs cart-service and payment-service on Kubernetes.
Understanding Time-Series Data
What makes a time series different A time series is a sequence of measurements taken at regular intervals: CPU every...
Setting Up the Forecast Lab
Prepare one environment All the labs in this roadmap share one virtual environment, aiops-lab/.venv.
Building Your First ARIMA Model
What the letters mean ARIMA stands for AutoRegressive Integrated Moving Average, written ARIMA(p, d, q).
Forecasting Ops Metrics with Prophet
Why Prophet exists ARIMA is precise for short forecasts, but two things make it awkward for ops work.
Detecting Anomalies with Prophet Bands
From forecast to detector Prophet's band gives a second use for the same model.
Choosing Between Prophet and ARIMA
A fair comparison Both models forecast a series, but they make different assumptions.
Planning Capacity with Forecasts
Predicting a date, not a feeling The most direct use of forecasting in operations is a date: given the current growth...
Running the Hands-On Lab
Cost and setup 📌 Remember: This lab costs nothing.
What You Built and What Comes Next
What you built You built a forecasting toolkit for ops metrics.
Quick Reference and Common Mistakes
Quick reference Common mistakes Passing Prophet the wrong column names raises an error.
Career Impact
Roles that use the skills in this module.
- High Demand
AIOps Engineer
₹18L - ₹35L a year
- High Demand
SRE / Platform Engineer
₹20L - ₹40L a year
- Very High Demand
Data Engineer
₹15L - ₹32L a year
Next Modules
Practice on the Coding Sheet
Not a software engineer sheet. Every problem comes from real DevOps, SRE, Platform and Cloud interviews, from your first script to a system you build yourself.
Open the Coding SheetFrequently Asked Questions
Use ARIMA for short forecasts of a slow metric with no strong daily or weekly cycle. Use Prophet when the metric has daily or weekly cycles or you need a forecast days ahead. When unsure, hold out the last part of your data and compare the error of both.
Enough to see each cycle you want it to learn: at least two full weeks for a weekly pattern, and a few days for a daily pattern. With less history, switch that seasonality off, because Prophet will otherwise fit noise as a pattern.
A 95 percent band is crossed by chance about 5 times in 100 readings. Alert only when several consecutive points are outside the band, and retrain the model regularly so the band follows your traffic.
No. A forecast tells you when a limit is likely to be reached so you can plan. A plain threshold alert is still your safety net for the case where the forecast is wrong.