📚 Knowledge

an attempt to centralize my studies/links/annotations for reference purposes

At the moment this is not useful for anyone but myself, if at some point I find it usefult I'll make it public.

(click to see the large version)

How to use this repo?

The README topics/links are organized following above chart. High-level subjects are usually parent topics, sub-topics are usually specialization of the main subject.

Depending on your level, you can dive deeper into a subject's sub-topics, or just move to the next one.

• Left to write: indicate how generic subjects are
• Top-bottom: Order of importance/relevancy and specialization of each subject or sub-category

e.g.:

Software Engineering

• Databases
  • SQL
    • Postgres Basics
    • Postgres Internal
      • How postgres replication works
      • Parsing postgres WAL(WriteAheadLog)
• Versioning

For instance, take into account the snaptshot above. If you already know how to use SQL Databases, you might want to either:

• Continue to the right, learning more more about Postgres, and to the bottom, its internals, specialized internals like replication and WAL.
• Continue to the bottom/next topic: Programming Languages.

Tags

Categories to the links

• 🌍 - Interesting Link
• 📰 - Article / Paper
• 📕 - Book
• 💻 - Project
• 🎓 - Online Course
• 📼 - Video Presentation / Content
• 🎥 - Slides Presentation
• ✍🏼 - Written/Made by me
• 📝 - My annotations
• 🆓 - Free / No money required
• 💰 - Paid
• 💪🏼 - Practice
• 🐦 - Person to Follow on Twitter
• ⭐️ - Favourite Option (when there are many alternatives)
• 👨🏻‍🔧- Workshop

References

• Site Reliability Engineering
  • Culture
    • Introductory
      • So you want to be an SRE? - Krishelle Hardson-Hurley 📰 🆓
    • Deeper Introduction
      • Site Reliability Engineering - How Google Runs Production Systems 📕 🆓
      • The Site Reliability Workbook - Practical Ways to Implement SRE 📕 🆓
      • SRE - Keeping Google up and running 24/7 📼 🆓
      • Keys to SRE - Google 📼 🆓
      • Who/What? is SRE - Google (Panel) 📼 🆓
      • Google Series on SRE - class SRE implements DevOps
        • What's the Difference Between DevOps and SRE? 📼 🆓
        • SLIs, SLOs, SLAs, oh my! 📼 🆓
        • Risk and Error Budgets 📼 🆓
        • Toil and Toil Budgets 📼 🆓
        • Now SRE Everyone Else with CRE! 📼 🆓
        • Managing Risks as a Site Reliability Engineer 📼 🆓
        • Actionable Alerting for Site Reliability Engineers 📼 🆓
        • Observability of Distributed Systems 📼 🆓
        • Incident Management 📼 🆓
        • Postmortems and Retrospectives 📼 🆓
      • IBM Garage - Building SRE from Scratch
    • Use cases
      • Site Reliability Engineering - Google - Christof Leng 📼 🆓
      • Implementing SLOs for a New Service - Squarespace 📼 🆓
      • Shipping Software with an SRE Mindset - Circonous 📼 🆓
      • Latency SLOs Done Right - Circonous 📼 🆓
      • Site Reliability Engineering at Dropbox - Tammy Buttow 📼 🆓
      • 190 Countries and 5 core SREs - Netflix - Jonah Horowitz 📼 🆓
    • People to Follow
      • Liz Fong-Jones 🐦
      • Seth Vargo 🐦
      • Tammy Buttow
    • Monitoring (See later Section)
    • Being on Call
    • Post-mortem
  • Software Engineering
    • Version Control
      • git
        • Version Control with Git 📕 💰
    • Programming Languages
      • Paradigms
        • Coursera - Programming Languages - Part A 📼 🎓 🆓
        • Coursera - Programming Languages - Part B 📼 🎓 🆓
        • Coursera - Programming Languages - Part C 📼 🎓 🆓
      • Functional Programming Languages
        • Haskell
          • General Overview
            • Haskell From First Principles 📕 💰
              • Book Exercises 📝 💪🏼 🆓
            • Simon Peyton Jones - Escape from the ivory tower - the Haskell journey 📼 🆓
            • Simon Peyton Jones - A History of Haskell - being lazy with class 📼 🆓
            • Andrew Rademacher - Demystifying Haskell 📼 🆓
          • Use cases
            • Facebook
              • Bryan O'Sullivan - The Bright Side of High Level Languages 📼 🆓
              • Jon Coens - The Road to Running Haskell at Facebook Scale 📼 🆓
          • Practice
            • The Monad Challenges 💪🏼 🆓
        • Concepts
          • Functional Programming
            • Computerphile - Functional Programming & Haskell 📼 🆓
          • Lambda Calculus
            • Computerphile - Lambda Calculus 📼 🆓
            • Lambda Calculus - Fundamentals of Lambda Calculus & Functional Programming 📼 🆓
            • Lambda Calculis - Church Encodings && Combinators 📼 🆓
            • The Y Combinator
              • Computerphile - Y Combinator 📼 🆓
          • Monads
            • Computerphile - What is a Monad? 📼 🆓
            • Functional Programming Patterns for Mere Mortals - Daniel Chambers 📼 🆓
      • Systems Programming Languages
        • Rust
          • The Rust Programming Language 📕 🆓
            • Annotations 📝
            • SubProjects
              • grab 👋🏼 like grep, but simpler [Chapters' 12/13 project].
              • dull 🤪 a dummy multi-thread HTTP server [Chapter's 20 project].
          • General Overview
            • Aaron Turon - Rust: confident, productive systems programming 📼 🆓
            • Steve Klabnik - The History of Rust 📼 🆓
          • Use cases
            • Raph Levien - A Modern Editor Built in Rust 📼 🆓
          • Testing Frameworks
            • Speculate Adds RSpec like behavior to rust via macros
          • Programming Rust 📕 💰
        • Go
          • Concurrency
            • Concurrency in Go 📕 💰
          • Garbage Collector
            • Golang's Realtime GC in Theory and Practice 📼 🆓
            • Garbage Colletor Handbook 📕 💰
    • Programming Topics
      • Algorithms and Data Structures
        • Udacity - Intro to Data Structures and Algorithms by Google 🆓 🎓 📼
        • Coursera - Algorithms - Part 1 - Elementary data structures, sorting, and searching algorithms 🆓 🎓 📼
        • Coursera - Algorithms - Part 2 - Graph and string-processing algorithms 🆓 🎓 📼
        • Courated List of the 10 best free resources 📰 🆓
        • Alternative Data Structures
          • “Esoteric Data Structures and Where to Find Them” - Allan Deutsch 📼 🆓
            • 0:36 Slot map
            • 10:08 Bloom filters (non-counting)
            • 16:46 Navigation meshes
            • 20:36 Hash pointer / Block chain / Merkle tree
          • Probabilistic Data Structures
            • Bloom Filter
              • An Introduction to Bloom Filter (Probably Yes, Always No) 📼 🆓
              • Bloom Filters 📼 🆓
              • Bloom filter for System Design applications 📼 🆓
              • Bloom Filters 📼 🆓
            • Count-Min-Sketch
              • Big Data with Sketchy Structures, Part 1 — the Count-Min Sketch 📰 🆓
              • Count min sketch | Efficient algorithm for counting stream of data | system design components 📼 🆓
    • Databases
      • Theory
        • Designing Data-Intensive Applications - Martin Kleppmann 📕 💰
        • CAP Theorem Revisited 📰 🆓
        • The Pathologies of Big Data 📰 🆓
        • Scaling
        • Replication
          • --
        • Sharding
          • Understanding Database Sharding - DigitalOcean 📰 🆓 ⭐️
          • Sharding in Plain English - Citrus Data Blog 📰 🆓
          • Introduction to Sharding - B's March (MongoDB Focused) 📼 🆓
          • Sharding & Database Partitioning | System Design Basics 📼 🆓
          • System Design - Sharding | Data Partitioning 📼 🆓
      • SQL
        • PostgreSQL
          • Postgres: Up & Running 📕 💰 ⭐️
          • Learning PostgreSQL 11 📕 💰
          • Mastering PostgreSQL 11 - Second Edition 📕 💰
          • Understanding Advanced Datatypes in PostgreSQL 📼 🆓
          • Updating a 50 terabyte PostgreSQL database 📰 🆓
          • How Twitch uses PostgreSQL 📰 🆓
          • Handling Growth with Postgres: 5 Tips From Instagram 📰 🆓
          • Updating a 50 terabyte PostgreSQL database 📰 🆓
          • Sharding & IDs at Instagram 📰 🆓
          • Sharding and Scaling PostgreSQL: Principles and Practice Webinar 📼 🆓
          • Citus vs. Single-Node Postgres Database | A Side-by-Side Comparison 📼 🆓
          • Replication
            • Three Approaches to PostgreSQL Replication and Backup 📰 🆓
            • PostgreSQL Streaming Replication 📼 🆓
            • PostgreSQL Replication Concepts 📼 🆓
            • PostgreSQL Replication by example - Kobus Wolvaardt 📼 🆓 ⭐️
        • MySQL
          • Learn to stop using shiny new things and love MySQL 📰 🆓
          • Tracking the Money — Scaling Financial Reporting at Airbnb 📰 🆓
          • Scaling to 100M: MySQL is a Better NoSQL 📰 🆓
          • Unlocking Horizontal Scalability in Our Web Serving Tier 📰 🆓
          • Why Uber Engineering Switched from Postgres to MySQL 📰 🆓
          • Evaluating MySQL Parallel Replication Part 4, Annex: Under the Hood 📰 🆓
          • Mitigating replication lag and reducing read load with freno 📰 🆓
          • Black-Box Auditing: Verifying End-to-End Replication Integrity between MySQL and Redshift 📰 🆓
          • How We Partitioned Airbnb's Main Database in Two Weeks 📰 🆓
          • Sharding Pinterest: How we scaled our MySQL fleet 📰 🆓
          • How We Replaced Our Data Pipeline With Zero Downtime 📰 🆓
          • Vitess: MySQL Sharding - Square Engineering 📼 🆓
      • RDS
        • Aurora
          • Amazon Aurora Multi-Master: Scaling out database write performance (MySQL) 📼 🆓
          • Aurora Encryption Performance Numbers 📰 🆓
        • Security
          • Encryptin an exsting RDS PgSQL 📰 🆓
        • RDS Proxy
          • Using Relational Databases with AWS Lambda - Easy Connection Pooling 📼 🆓
        • Aurora Serverless
          • How to Build Highly Scalable Serverless Applications with Amazon Aurora Serverless 📼 🆓
          • Data API
            • Getting Started with Aurora Serverless Data API 📼 🆓
      • NoSQL
        • KeyValue
          • BoJack ✍🏼 💻 🆓
          • Why you should build your own NoSQL database ✍🏼 📰 🆓
          • Redis
            • Redis Cookbook 📕 💰
          • Cassandra
            • Cassandra at Instagram 2016 📰 🆓
            • Cassandra: The Definitive Guide 📕 💰
        • DocumentStore
          • ElasticSearch
            • Internals
              • ElasticSearch from the Bottom Up 📼 🆓
              • ElasticSearch from the Bottom Up 📼 🆓
                • Index && Shard 📼 🆓
                  • How many shards are too many shards? 📼 🆓
                    • Shard performance patterns 📼 🆓
                • Lucene
            • Elasticsearch Do's, Don'ts and Pro-Tips 📼 🆓
            • Our Journey with Elasticsearch: Indexing 200M Daily Records 📼 🆓
    • Ledger
      • What is a Ledger? 📼 🆓
      • Amazon QLDB: An engineer's deep dive on why this is a game changer 📼 🆓
    • Distributed Systems
      • Theory
        • Fallacies of Distributed Computing 📰 🆓
        • Distributed Systems, 2nd Edition 📕 💰
        • Distributed Systems Observability 📕 💰
        • Designing Distributed Systems 📕 💰
        • Distributed Denial of Service (DDoS) 📕 💰
        • Distributed Systems Training 📰 🆓
      • Bulkhead Pattern
        • Bulkhead Pattern - Origin & Concept 📼 🆓
        • Bulkhead Pattern - Examples 📼 🆓
      • Circuit-Breaker Pattern
        • Circuit Breaker Pattern - Fault Toleranc Services 📼 🆓
      • Event Sourcing / CQRS
        • Go Back to the Future with Event Sourcing and CQRS 📼 🆓
        • Event Sourcing You are doing it wrong - David Schmitz 📼 🆓
        • The Many Meanings of Event-Driven Architecture - Martin Fowler 📼 🆓
        • An Introduction to CQRS and Event Sourcing Patterns - Mathew McLoughlin 📼 🆓
        • Go Back to the Future with Event Sourcing and CQRS 📼 🆓
      • Streaming
        • Kafka
          • Introduction to Kafka 📼 🆓
          • Commit Logs in an Age of Microservices - Tim Berglund 📼 🆓
          • Should you put several event types in the same Kafka topic? - Martin Kleppmann 📰 🆓
          • Practical
            • Kafka: The Definitive Guide 📕 💰
          • Internals
            • The Log: What every software engineer should know about real-time data's unifying abstraction 📰 🆓
            • How Kafka's Storage Internals Work 📰 🆓
            • Why is Kafka so fast 📰 🆓
        • NATS
          • Practical NATS: From Beginner to Pro 📕 💰
        • Kinesis
          • "Distributed Commit Log: Application Techniques for Transaction Processing" by David McNeil 📼 🆓
        • Commit Log
          • Commit Logs in an Age of Microservices - Tim Berglund 📼 🆓
          • Build your Own
            • 14-bits/voik 💻 🆓
            • Corfu - A distributed shared log 📰 🆓
            • Building a Distributed Message Log from Scratch by Tyler Treat - Video 📼 🆓
            • Building a Distributed Log from Scratch, Part 1: Storage Mechanics 📰 🆓
            • Building a Distributed Log from Scratch, Part 2: Data Replication 📰 🆓
            • Building a Distributed Log from Scratch, Part 3: Scaling Message Delivery 📰 🆓
            • Building a Distributed Log from Scratch, Part 4: Trade-Offs and Lessons Learned 📰 🆓
            • Building a Distributed Log from Scratch, Part 5: Sketching a New System 📰 🆓
            • Code
              • travisjeffery/Jocko - Distributed commit log service in Go
              • zowens/commitlog - Append-only commit log library for Rust
              • liftbridge-io/liftbridge - Lightweight, fault-tolerant message streams
            • People to Follow
              • Tyler Treat 🐦
      • Load Balancing
        • Taking Zero-Downtime Load Balancing even Further 📰 🆓
        • Introducing the GitHub Load Balancer 📰 🆓
        • Improving load balancing with a new consistent-hashing algorithm 📰 🆓
        • UDP Load Balancing with Keepalived 📰 🆓
        • Introducing QALM, Uber's QoS Load Management Framework 📰 🆓
      • Distributed Processing
        • Hadoop
          • Hadoop: Up & Running 📕 💰
      • RPC - Remote Procedure Call
        • Schema Evolution: AVRO, Protobufs and Thrift 📰 🆓
        • AVRO vs Protobufs vs Thrift 📰 🆓
  • Operations
    • Terminal
      • Set of Bash Oneliners 💻 🆓
    • Operating Systems
      • Courses
        • CS8803 - Introduction to Operating Systems 🎓 🆓
          • Annotations and Exercises 📝
      • Base Book (Choose 1):
        • Operating Systems: Three Easy Pieces 📕 🆓 ⭐️
        • Operating System Concepts 📕 💰
        • Operating System Concepts: Essentials 📕 💰
        • Modern Operating Systems 📕 💰
      • Computer Architecture
        • TUHS Lectures 🆓 📰 🎓
          • Introduction to Systems Architecture
          • Instruction Set Architecture Design
          • Addressing Modes & CPU Internals
          • Execution Flow, Branches, Function Calls
          • User- and Kernel Mode, System Calls, I/O, Exceptions
          • CPU Memory Management, Context Switching
          • Introduction to Operating Systems
          • Processes
          • Introduction to Memory Management
          • Virtual Memory, Disk Devices
          • Filesystems & Their Performance
          • IPC, Synchronisation and Threads
      • File Descriptor
        • File Descriptors Explained 📼 🆓
        • File Descriptors, Unix sockets and other POSIX wizardry - Christian Heimes 📼 🆓
        • "Everything is a file" in UNIX 📼 🆓
      • Threads
        • "An Introduction to Programming with Threads" by Birrell 📰 🆓
        • POSIX Threads (PThreads)
          • PThreads / POSIX Threads Coding Examples 📰 🆓
          • IBM Series
            • POSIX threads explained: Part 1 📰 🆓
            • POSIX threads explained: Part 2 📰 🆓
            • POSIX threads explained: Part 3 📰 🆓
      • Beyond Multiprocessing: Multithreading the Sun OS Kernel by Eykholt 📰 🆓
      • Implementing Lightweight Threads by Stein and Shah 📰 🆓
      • How to create and join threads in C (pthreads) 📼 🆓
      • Programming with POSIX ® Threads 📕 💰
      • CPU Scheduling
        • Timeslice
          • MLFQ - Multi Level Feedback Queue
            • CPU scheduling Practice - FCFS, SJF, MLFQ 📼 🆓
            • Multi level queues and multi level feedback queues 📼 🆓
            • Designing of vague logic based multilevel feedback queue scheduler 🆓 📰
        • Linux
          • O(n), O(1) and CFS
            • Thread on CFS 🆓 🌍
            • The Linux Kernel Scheduler (For Beginners) 📼 🆓
            • Operating System #21 Scheduling in Linux: O(n), O(1) Scheduler 📼 🆓
      • Virtual Memory
        • The Heap: what does malloc() do? 📼 🆓
        • mmap
          • How processes get more memory 📼 🆓
          • How to Map Files into Memory in C (mmap) 📼 🆓
      • Linux
        • Linux Cross Reference 🌍 🆓
        • Interactive Linux Kernel Map 🌍 🆓
      • Reference Youtube channels
        • Jacob Sorber
    • Network
      • Computer Networks, 5th Edition 📕 💰
      • Protocols
        • DNS
        • Socket
        • UDP
        • TCP
          • Build Your Own
            • Implementing TCP in Rust (part 1) 📼 🆓
            • Implementing TCP in Rust (part 2) 📼 🆓
            • Implementing TCP in Rust (part 3) 📼 🆓
            • Implementing TCP in Rust (code) 🆓
          • SSH
          • HTTP/S
          • SSL-TLS
      • Edge
        • CDN
        • "Global Accelerator"
          • AWS Global Accelerator Introduction 📼 🆓
            • 11:00 - Explanation regarding GA
          • AWS Global Accelerator 📼 🆓
      • VPC - Virtual private Cloud
        • Practical VPC Design 📰 🆓
        • Multi-VPC
          • One to Many: Evolving VPC Design 📰 🆓
          • Using VPC Sharing for a Cost-Effective Multi-Account Microservice Architecture 📰 🆓
          • Sharing
            • VPC sharing: A new approach to multiple accounts and VPC management 📰 🆓
          • Peering
          • PrivateLink
          • TransitGateway
            • Use an AWS Transit Gateway to Simplify Your Network Architecture 📰 🆓
            • Creating a single internet exit point from multiple VPCs Using AWS Transit Gateway 📰 🆓
    • Monitoring
      • Metrics
        • Prometheus
          • Prometheus: Up & Running: Infrastructure and Application Performance Monitoring 📕 💰
        • InfluxDB
          • InfluxDB - Time Series Database 📼 🆓
      • Tracing
        • Intro to Distributed Tracing 📰 🆓
        • Mastering Distributed Tracing 📕 💰
    • Infrastructure as Code
      • What is IaC? 📼 🆓
      • Getting Started with IaC 📼 🆓
      • Containers
        • Docker
          • Guides
            • Dockerfile Best Practices - ThoughtWorks 📰 🆓
          • Testing
            • goss/dgoss - Test docker images ⭐️
              • marceloboeira/kurz - Example setup ✍🏻
      • Orchestration
        • ECS
          • ECS Workshop 👨🏻‍🔧 🆓
          • Internals
            • Service Discovery 📼 🆓
            • Network Deep Dive 📼 🆓
        • Kubernetes
          • History
            • Borg, Omega, and Kubernetes 📰 🆓
            • Dockercon keynote: Eric Brewer (Google) - First k8s presentation 📼 🆓
          • Internals
            • Introduction
              • Microsoft Azure Videos
                • Why you should care about containers 📼 🆓
                • How Kubernetes works 📼 🆓
                • How Kubernetes deployments work 📼 🆓
                • Understand Serverless Kubernetes and Serverless on Kubernetes 📼 🆓
                • How the Kubernetes scheduler works 📼 🆓
                • Setting up a Kubernetes build pipeline 📼 🆓
                • Overview of common Kubernetes scenarios 📼 🆓
                • How volumes and storage work in Kubernetes 📼 🆓
                • The basics of stateful applications in Kubernetes 📼 🆓
            • Understanding Distributed Consensus in etcd and Kubernetes - Laura Frank, CloudBees 📼 🆓
            • Kubernetes Deconstructed: Understanding Kubernetes by Breaking It Down - Carson Anderson, DOMO 📼 🆓
            • Internals Advanced General talks about containers - 🆓 📼
            • Kubernetes Up and Running 📕 💰
            • Key Kubernetes Concepts 📰 🆓
            • Programming Kubernetes 📕 💰
            • Networking
              • A Guide to the Kubernetes Networking Model 📰 🆓
              • How does Traffic Flow inside a Kubernetes Cluster? 📰 🆓
              • Exposing Services
                • NodePort vs LB vs Ingress 📰 🆓
                  • Interesting to understand why ingress is a better option than LB when exposing individual services
                  • LB creates a new IP for every service, it can get expensive and difficult to handle
                  • Ingress can manage multiple domains and paths for many services without difficulty/effort
              • CNI Plugins
                • Kubernetes Networking: How to Write Your Own CNI Plug-in with Bash
          • Operators
            • Introducing Operators 📰 🆓
          • Provider
            • EKS - Elastic Kubernetes Service
              • EKS - Deep Dive 📼 📼
                • 08:50 - Control Plane
                • 10:19 - Control Plane Internals (not shared tenent, endpoints exposed to internet, worker nodes need access to the internet, NLB)
                • 19:00 - Version Updates
                • 20:00 - Authentication (IAM -> Authentication | RBAC -> Authorization)
                • 20:00 - AMI is OpenSource
              • EKS Workshop 👨🏻‍🔧 🆓
              • Custom EKS AMIs 📰 🆓
              • Metrics
                • EKS + CloudWatch 📼 🆓
                • EKS + CloudWatch: Container Insights 📼 🆓
                • Setup Metrics 📰 🆓
              • Tracing
                • AWS X-Ray with EKS 📰 🆓
              • Windows
                • Containerize .NET Apps with Amazon EKS 📼 🆓
              • Managed Node Groups
                • EKS Managed Node Groups 📰 🆓
        • Service Mesh
          • What is service mesh? 📼 🆓
          • Istio
            • Istio Explained - IBM Videos 📼 🆓
            • What is Istio? 📼 🆓
              • Nomad
              • Console
            • Istio: Up & Running 📕 💰
          • AppMesh
            • AWS Container Day - App Mesh (Service Mesh Magic) 🆓 📼
            • AppMesh Workshop 👨🏻‍🔧🆓
            • Microservice Deployment Strategies with AWS App Mesh 🆓 📼
      • Provisioning
        • Terraform
          • Introduction to Terraform 📼 🆓
          • Infrastructure as Code in the Real World? 📼 🆓
          • Terraform: Up and Running 📕 💰
        • Packer
          • The Packer Book 📕 💰
        • CDK - CloudFormation Development Kit
          • Infrastructure is Code with CDK 📼 🆓
          • CDK Best Practices 💻 🆓 📰
    • Linux
      • LFS - Linux from Scratch Book 📼 🆓
      • systemd
        • systemd Essentials 📰 🆓
    • Debug
      • Core Dumps
        • Debugging with Core Dumps 📼 🆓
    • Performance
      • Profiling
        • Linux Performance
          • Linux Network Performance Parameters - Leandro Moreira 📰 🆓 💻
          • Linux Performance Hub - Brendan Gregg 📰 🆓 💻
          • Linux Perf 📰 🆓 💻
          • Linux Extended BPF (eBPF) Tracing Tools 📰 🆓 💻
          • Charts
            • Linux Performance Observability Tools 🏙 🆓
            • Linux Performance Benchmark Tools 🏙 🆓
            • Linux Performance Tuning Tools 🏙 🆓
          • Netflix - Linux Systems Performance - Brendan Gregg 📼 🆓
          • Netflix - Linux Performance - Brendan Gregg 📼 🆓
          • How Netflix Tunes Amazon EC2 Instances for Performance - Brendan Gregg 📼 🆓
        • Docker Container
          • Netflix - Container Performance Analysis 📼 🆓
        • Applications
          • dtrace
            • DTrace Book Scripts 💻 🆓
          • Rust
            • Rustt + Dtrace + Flamegraphs 📰 🆓
          • Flamegraph
            • Tooling to generate FlameGraphs 💻 🆓
            • Deep dive to CPU FlameGraphs 📰 💻 🆓
            • Speedscope - visualization tool 💻 🆓
            • Presentation on FlameGraphs 🎥 🆓
  • Serverless
    • SAM- Serverless Application Model
      • What is SAM? 📼 🆓
    • Lambda
      • Layers
        • What are Lambda Layers? 📰 🆓
      • Extensions
        • Intro to Extensions for AWS Lambda 📰 🆓
        • Building Extensions for AWS Lambda 📰 🆓
        • Building Extension API 📰 🆓
  • Security
    • Authentication
      • OpenID/OICD
        • Amazon Cognito 📼 🆓
    • Firewall
      • WAF - Web Application Firewall
        • What is a Web Application Firewall (WAF)? 📼 🆓
        • The AWS Web Application Firewall (WAF) 📼 🆓
    • Encryption
      • Theory
        • History
          • Ceasar
        • Symetric
        • Asymetric
      • Cloud
        • How Encryption Works @ AWS 📼 🆓
        • KMS
          • Encryption and Key Management @ AWS 📼 🆓
    • Certificates
      • Service Name Indication
        • What is SNI? 📼 🆓
    • Monitoring
      • Data Leaks
        • Amazon Macie 📼 🆓
    • Multi-tenancy
      • SaaS
        • AWS re:Invent 2019: SaaS tenant isolation patterns
  • Cost
    • Cloud
      • AWS
        • Savings Plans vs Reserved Instances 📼 🆓
        • How to save with AWS Saving Plans 📼 🆓