Cloud platforms generate enormous volumes of logs, metrics, traces, billing records and pipeline events, yet many teams still decide on gut feel and discover cost overruns and outages after the fact. These ten days show engineers and technology leaders how to turn that exhaust into evidence. The first week builds the foundations: telemetry collection with OpenTelemetry, Prometheus and Grafana, log analysis, SQL and Python with pandas on operational data, and the delivery measures popularised as DORA metrics.
The second week goes deeper into FinOps and platform practice. You analyse cloud cost and usage reports, allocate spend with tagging, forecast, find waste and unit costs, then set service level objectives, error budgets and anomaly detection. Platform engineering sessions cover developer experience measures, golden paths, internal platform scorecards, infrastructure as code drift and policy data. The final days integrate everything into a capstone dashboard and recommendation pack. The programme suits DevOps and site reliability engineers, cloud architects, platform teams, FinOps practitioners, data engineers and engineering managers. It runs in class, online or in-house, with a CPD-accredited certificate.
As cloud estates grow, engineering leaders are asked to answer questions that intuition cannot settle. Why did spend rise by a third? Which service is consuming the error budget? Are releases getting faster and safer, or just more frequent? Is the internal platform actually improving developer productivity? Without disciplined data and analytics, these questions produce arguments instead of decisions, and teams carry waste, instability and tool sprawl.
The Data and Analytics for Cloud, DevOps, FinOps & Platform Engineering Training Course answers them over ten days. The first block covers the observability data pipeline, querying logs and metrics, data modelling for operational data and the analytical toolkit in SQL and Python. The second applies it to delivery performance, reliability engineering and incident analysis. The third addresses FinOps: cost data structure, allocation, unit economics, commitments, rightsizing and forecasting. The final block concentrates on platform engineering analytics, automation, governance and an integrated capstone.
Every day is laboratory based, using sample telemetry, billing exports and pipeline data. Participants finish with working dashboards, queries, and a prioritised improvement plan for their own cloud environment.
After completing the course, participants will be able to:
Participants take away:
The course is laboratory-intensive and built on realistic cloud data. It combines:
Day 1: Data in Cloud and DevOps Operations
Day 2: Observability Pipelines
Day 3: SQL for Operational Analysis
Day 4: Python and pandas for Engineering Data
Day 5: Delivery Performance and DORA Metrics
Day 6: Reliability, SLOs and Incident Analytics
Day 7: FinOps Data Foundations
Day 8: Cost Optimisation and Forecasting
Day 9: Platform Engineering Analytics and Governance
Day 10: Capstone and Roadmap
The course is designed for technical professionals and leaders who run or govern cloud platforms, including:
Participants who complete the ten days, including the labs and the capstone presentation, receive a CPD-accredited Certificate of Completion issued by Vision Reach Global Consultancy. The certificate lists the technical areas covered.
Upcoming cohorts
CPD-Accredited
Official invoice & confirmation letter provided
Team discount for 3+ seats
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Everything you need to know about this course before you register.
By the end of the Data and Analytics for Cloud, DevOps, FinOps & Platform Engineering programme, you'll be able to design an observability pipeline for metrics, logs and traces using opentelemetry, prometheus and grafana, query and analyse operational data using sql and python with pandas, calculate and interpret dora metrics from source control and pipeline data, and define service level indicators, objectives and error budgets and report against them. The full breakdown of topics is covered session by session in the Course Outline tab above.
The course is designed for technical professionals and leaders who run or govern cloud platforms, including: DevOps engineers and site reliability engineers, Cloud architects and platform engineers, FinOps practitioners and cloud cost analysts, Data engineers and analytics engineers supporting IT operations, Engineering and delivery managers, IT operations and infrastructure managers, Cloud centre of excellence and governance leads, and Technical finance partners working with cloud budgets.
Data and Analytics for Cloud, DevOps, FinOps & Platform Engineering Training Course typically runs as 10 Days. It's available as in-person classroom, live virtual, and in-house corporate training — every course can also be delivered on-site for your team on dates that suit you.
Data and Analytics for Cloud, DevOps, FinOps & Platform Engineering Training Course is scheduled in-classroom in Nairobi, Kenya, Mombasa, Kenya, Naivasha, Kenya, and Kisumu, Kenya, and 14 other locations, plus a live interactive virtual classroom you can join from anywhere. Check the schedule panel above for exact upcoming dates and fees in each location.
The next live virtual cohort of Data and Analytics for Cloud, DevOps, FinOps & Platform Engineering starts October 12, 2026, with new classroom cohorts also running on a rolling basis. Pick a date and location in the schedule panel above, then click "Register for the Course" — it takes a few minutes and your seat is confirmed once payment or a signed purchase order is received.
Yes — delegates who meet the attendance requirement receive a Certificate of Completion for Data and Analytics for Cloud, DevOps, FinOps & Platform Engineering Training Course from Vision Reach Global Consultancy, issued in the name you register with, so double-check the spelling at checkout.
Data and Analytics for Cloud, DevOps, FinOps & Platform Engineering Training Course is pitched at advanced professionals. If you're unsure whether it's the right fit for your current role or background, message our training advisors before you register and they'll help you confirm.
Fees for Data and Analytics for Cloud, DevOps, FinOps & Platform Engineering Training Course vary by delivery location and format and are shown in real time in the schedule panel above once you pick a date. Register 3 or more delegates on the same course together and a 5% team discount is applied automatically — larger cohorts can request a custom corporate quote.
Yes — Data and Analytics for Cloud, DevOps, FinOps & Platform Engineering Training Course can be delivered on-site at your offices (or virtually for distributed teams), with case studies and examples tailored to your industry and the specific challenges your team is working through. Switch to the "In-House" tab in the schedule panel above to request a proposal.
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