AI, cloud and DevOps cheat sheets

Chapters

1. 1Core concepts: scale, latency and availability
2. 2Load balancing, proxies, CDNs and caching
3. Databases: models, indexes and transactions

+ 7 more

Chapters

1. 1Linux, the shell and scripting
2. 2Git workflows
3. Networking for engineers

+ 7 more

Chapters

1. 1What analysts do
2. 2Spreadsheets properly
3. SQL for analysis

+ 4 more

Chapters

1. 1How LLMs work: tokens and context
2. 2Prompting and model APIs
3. RAG: embeddings, chunking and retrieval

+ 6 more

Chapters

1. 1Python for data
2. 2The maths you need
3. Data cleaning and feature engineering

+ 5 more

Chapters

1. 1Testing fundamentals
2. 2Manual testing done well
3. Web and API basics

+ 5 more

Chapters

1. 1Foundations and ingestion
2. 2Analytical SQL and data modelling
3. File formats, lakes and lakehouses

+ 7 more

Chapters

1. 1Security foundations
2. 2A safe home lab
3. Certifications

+ 2 more

Chapters

1. 1Code for data: Python or R
2. 2Statistics and probability you use
3. SQL for data work

+ 7 more

Chapters

1. 1How agents work
2. 2Tool calling from scratch
3. Structured output and validation

+ 7 more

Chapters

1. 1From notebook to package
2. 2Data and model versioning
3. Experiment tracking and the registry

+ 7 more

Chapters

1. 1Linux and networking for cloud
2. 2Cloud concepts and billing
3. Identity and access

+ 7 more

Chapters

1. 1Reliability basics: SLIs, SLOs and error budgets
2. 2Observability: metrics, logs and traces
3. Incident response and postmortems

+ 7 more

Chapters

1. 1Models, addressing and subnetting
2. 2Switching and VLANs
3. Routing: static, OSPF and BGP

+ 7 more

Chapters

1. 1Security foundations for AI work
2. 2How LLM apps and agents break
3. Risk maps: OWASP, ATLAS, NIST, SAIF

+ 6 more

Chapters

1. 1Regulations and frameworks
2. 2AI inventory and ownership
3. Data foundation

+ 4 more

Chapters

1. 1How cloud billing works
2. 2Reading the bill and tagging
3. Allocation, showback and unit costs

+ 6 more

Chapters

1. 1Images, containers and the engine
2. 2Writing a Dockerfile
3. Layers, caching and faster builds

+ 6 more

Chapters

1. 1How a cluster works
2. 2kubectl essentials
3. Pods and workload controllers

+ 7 more

Chapters

1. 1Global infrastructure and accounts
2. 2IAM and access control
3. Compute: EC2, Lambda and containers

+ 7 more

Chapters

1. 1How LLM APIs work
2. 2Prompts, roles and sampling
3. Streaming, structured output and images

+ 5 more

Chapters

1. 1What MCP is
2. 2Messages and lifecycle
3. Transports

+ 6 more

Chapters

1. 1Embeddings and similarity
2. 2Nearest neighbour search
3. Index types: HNSW, IVF and PQ

+ 6 more

Chapters

1. 1RAG and agents: the big picture
2. 2Loading and chunking
3. Embeddings and vector stores

+ 3 more