Tag: sre
-
How to Become a Data Scientist From an Infra, SRE or VMware Background
If you run infrastructure, carry an SRE pager or administer VMware, you already own half of a data science career. Here is the order to build the other half, with a resource mapped to every step.
-
Incident Prediction and AIOps, Honestly Assessed (Infra to Data Science Series, Part 24)
Incident prediction on your own telemetry usually fails on arithmetic, not modelling. A base rate check, an honest look at AIOps, and the narrow cases where prediction actually pays.
-
Capacity Forecasting From Infrastructure Telemetry (Infra to Data Science Series, Part 22)
A straight line on a seasonal metric tells you when the average crosses your limit, not when the weekly peak does. Forecast with Holt-Winters, read the date off the upper prediction band, and plan against the risk you can afford.
-
MLOps for Infrastructure Engineers, the Operations You Already Run (Infra to Data Science Series, Part 16)
Most of MLOps is the operational discipline infrastructure engineers already have. This part maps your runbooks, CI and monitoring onto a model, and names the two or three things that are genuinely new.
-
Probability and Distributions for Infra Telemetry (Infra to Data Science Series, Part 11)
Fit named distributions to your own latency and arrival data in Python, and see exactly where a clean fitted curve understates the tail that breaches your SLO.
-
NumPy and pandas for Infra Engineers Who Know awk and jq (Infra to Data Science Series, Part 9)
Translate the awk and jq habits you already have into vectorised NumPy and pandas. Why iterrows ran 8,700 times slower than a column expression, how to dodge the copy trap, and the dtype choices that shrank a frame from 32.8 MB to 7.3 MB.
-
Data Science Transition Roadmap and Timeline for Infra Engineers (Infra to Data Science Series, Part 4)
How long the move from infrastructure to data science really takes, broken into four phases you can hold against a calendar, with the sideways move that beats quitting for a bootcamp.
-
Operations Mindset vs Data Science Mindset for Infra Engineers (Infra to Data Science Series, Part 3)
An operations mindset chases zero failure; a data science mindset budgets error and ships something useful before it is perfect. Here is how an infrastructure engineer switches between the two without losing the discipline that makes them worth hiring.
-
Transferable Skills for Infra Engineers Moving to Data Science (Infra to Data Science Series, Part 2)
An operator moving into data science already holds more of the job than the posting admits. How to audit your skills against a real data science job description, which transfer, which reshape, and the two gaps to close first.
-
What a Data Scientist Actually Does, Compared to Infra, SRE and VMware Work (Infra to Data Science Series, Part 1)
If you run infrastructure, keep an SRE rotation or administer VMware, you are not starting data science from zero. What a data scientist actually does, where your skills already transfer, and where to start.
-
SRE Concepts You Must Need to Know – SLI, SLO, SLA, Error Budget, Golden Signals
In modern Site Reliability Engineering (SRE), metrics are more than just numbers — they represent trust between systems, users, and teams.Whether you manage a global SaaS platform or an on-prem VMware private cloud, understanding SLI, SLO, SLA, and Error Budgets is the foundation for measuring reliability in a scientific, data-driven way. In this post, I’ll…
Architect’s Toolkit
PJ’s Tools
- Infra 360 Hub – All Series
- VCF 9 Interactive Walkthroughs
- VCF Design Cheatsheet
- VCF Upgrade Planner
- VCF 9 Series Hub
- VCF Deployment Hub
- AI Stack Hub
- AI Infra Sizing & Cost Calculator
- LLM & RAG Cost Calculator
- DrJhaGPT – Ask Pranay
VMware Cloud Foundation
- VCF Documentation
- VCF 9 Planning & Preparation Workbook
- VCF Bill of Materials (BoM)
- VMware Compatibility Guide
- VMware Interoperability Matrix
- VMware Configuration Maximums
- VMware Ports & Protocols
- VMware Hands-on Labs
- RVTools Download
Nutanix
AI & Cloud-Native Platform
- NVIDIA Build (Model Catalog)
- NVIDIA AI Enterprise Reference Architecture
- NVIDIA NIM Performance Benchmarking
- NVIDIA NGC Catalog
- NeMo Microservices Helm Chart
- Helm Charts Repository
- Hugging Face Models
Architecture & Design
About the Author
Dr Pranay Jha
Dr. Pranay Jha is a Cloud and AI Consultant with 18+ years of experience in hybrid cloud, virtualization, and enterprise infrastructure transformation. He specializes in VMware technologies, multi-cloud strategy, and Generative AI solutions. He holds a PhD in Computer Applications with research focused on Cloud and AI, has published multiple research papers, and has been a VMware vExpert since 2016 and a VMUG Community Leader.
You May Have Missed
DrJha