To study

Organization

Scrum

• ☑ Scrum And DevOps
• ☑ Four agile ceremonies, demystified

Jira

• ☐ A JIRA Tutorial for Software Developers: Get The Most out of JIRA

Stories

• ☑ Improving Speed and Stability of Software Delivery Simultaneously at Siemens Healthineers
• ☑ Business and Technical Agility with Team Topologies

Career

• ☑ Building a Lifelong Technical Career in Software Development

Critical

• ☑ Computer Networks: Myths, Missteps, and Mysteries
• ☑ How Big Tech Lost Its Way

Architecture

• ☑ Why Do We Need Architectural Diagrams?
• ☑ Tecnologias no Nubank
• ☐ Let’s talk about React and MVP
• ☑ Modeling Uncertainty With Reactive DDD
• ☑ The Clean Architecture [Robert C. Martin]
• ☑ The Principles of Clean Architecture [Robert C. Martin]
• ☑ Passive View [Martin Fowler]
• ☑ About Consistency, Coupling, and Complexity at the Edge, and Separation of Concerns

Patterns

History

• ☑ 1970 - model view controller (Trygve Reenskaug)
• ☑ 1996 - multilayered architecture (multiple refs)
• ☑ 2005 - hexagonal architecture (Alistair Cockburn)
• ☑ 2008 - onion architecture (Jeffrey Palermo)
• ☑ 2012 - clean architecture (Uncle Bob)

Clean Architecture

• ☑ clean architecture (Uncle Bob)

• ☑ The Principles of Clean Architecture by Uncle Bob Martin

Hexagonal

the domain depends on nothing but itself

• ☑ hexagonal architecture (Alistair Cockburn)

• ☐ Hexagonal Architecture 101: Decoupling your technical code from your business logic (HexArch)
• ☐ Ports and Adapters Pattern (Hexagonal Architecture)
• ☐ Hexagonal Architecture: three principles and an implementation example
• ☑ Hexagonal Architecture with Spring Boot
• ☑ Domain-Driven Design and the Hexagonal Architecture

Examples

• ☑ Go

Microservices

• ☑ Microservices (by Martin Fowler)
• ☑ Microservices vs. SOA – Is There Any Difference at All?
• ☑ Managing Data in Microservices
• ☑ Quick Guide to Microservices With Spring Boot 2.0, Eureka, and Spring Cloud
• ☑ Part 1: Creating microservice using Spring Cloud, Eureka and Zuul
• ☑ Part 2: Creating microservices – monitoring with Spring Cloud Sleuth, ELK and Zipkin
• ☑ Part 3: Creating Microservices: Circuit Breaker, Fallback and Load Balancing with Spring Cloud
• ☑ Beyond Microservices: Streams, State and Scalability
• ☑ Istio as an Example of When Not to Do Microservices
• ☑ Minimizing Design Time Coupling in a Microservice Architecture

Service Discovery

• ☑ Eureka at a glance

Async communication

• ☑ Understanding When to use RabbitMQ or Apache Kafka
• ☑ Is there any reason to use RabbitMQ over Kafka?

Event Sourcing

• ☑ Developing Transactional Microservices Using Aggregates, Event Sourcing and CQRS - Part 1
• ☑ Developing Transactional Microservices Using Aggregates, Event Sourcing and CQRS - Part 2

Message Brooker

• ☑ RabbitMQ in Microservices
• ☑ AMQP 0-9-1 Model Explained

Message Streams

Kafka vs Kinesis

• ☑ Apache Kafka and Amazon Kinesis
• ☑ Apache Kafka VS Amazon Kinesis
• ☑ Kafka vs Kinesis: Comparing Real-time Data Streaming Tools
• ☑ Which of Amazon Kinesis and Apache Kafka is the more proven and high performance-oriented?

Kafka vs RabbitMQ

• ☑ Architecture and design of RabbitMQ and Kafka

Service Mesh

• ☑ A sidecar for your service mesh
• ☑ Service Mesh Ultimate Guide (with several references linked)
• ☑ Service mesh data plane vs. control plane - Envoy Proxy

Synapse

Synapse (and its main docs in github repo) is a project small enough to get the big picture of a complete service-mesh environment:

• ☑ GitHub - airbnb/synapse: A transparent service discovery framework for connecting an SOA

Envoy

• ☑ Envoy Proxy with Microservices
• ☑ Envoy with Nomad and Consul
• ☑ Envoy Service Mesh Case Study

Istio Service Mesh architecture

• ☐ Sample application composed of four separate microservices using Envoy and Istio
• ☐ What Is a Service Mesh, by Nginx, explaining Istio service mesh architecture

Backends for Frontends

• ☑ Backends for Frontends @ SoundCloud
• ☑ Service Architecture at SoundCloud — Part 1: Backends for Frontends
• ☑ Service Architecture at SoundCloud — Part 2: Value-Added Services

Containers

• ☑ A Beginner-Friendly Introduction to Containers, VMs and Docker
• ☑ Moving from Docker to rkt
• ☑ I just want to run a container!
• ☐ Webinar Series: Getting Started with Containers
• ☑ Systemd vs. Docker
• ☐ Systemd and Containers: An Introduction to systemd-nspawn

Big Data

• ☐ Open Source Big Data Landscape
• ☐ Hadoop, Storm, Samza, Spark, and Flink: Big Data Frameworks Compared
• ☐ Stream-based Architecture
• ☐ 125 open source Big Data architecture papers for data professionals.
• ☐ Log Analysis with Spark
• ☐ Apache Storm
• ☐ Apache Flink
• ☐ Apache Flume
• ☐ Architecting BigData for Real Time Analytics
• ☐ Re-Structure Ahead in Big Data & Spark
• ☐ Getting Started with Big Data Architecture
• ☐ Case Study of Batch Processing with Spring Cloud Data Flow Server in Cloud Foundry
• ☐ The Future of Data Engineering: Chris Riccomini at QCon San Francisco
• ☑ Streaming SQL to Unify Batch & Stream Processing w/ Apache Flink @Uber
• ☑ The Whys and Hows of Database Streaming

Hadoop

• ☑ The Hadoop Ecosystem Table
• ☑ Hadoop 3.0 improvements (Q&A with Saumitra Buragohain on Hortonworks Data Platform 3.0)

Kafka

• ☐ Kafka Use cases
• ☐ Kafka Ecosystem

• ☐ Cloud-Native and Scalable Kafka Architecture
• ☐ Kafka as Streaming Transport
• ☐ Flafka: Apache Flume Meets Apache Kafka for Event Processing
• ☐ Publishing with Apache Kafka at The New York Times
• ☐ Traffic Data Monitoring Using IoT, Kafka and Spark Streaming
• ☐ Migrating Batch ETL to Stream Processing: A Netflix Case Study with Kafka and Flink
• ☐ Kafka Streams: Catching Data in the Act (Part 1)

ElasticSearch

• ☐ Introducing Machine Learning for the Elastic Stack
• ☐ (Hadoop and) Map/Reduce integration

Serialization

• ☑ Protocol Buffer vs Thrift vs Avro
• ☑ Thrift vs Protocol Buffers vs Avro - Biased Comparison]
• ☐ Schema evolution in Avro, Protocol Buffers and Thrift

Protobuf

• Google
• open source,
• ☐ written in c++
• supports {C++, Java, Python, Javascript} plust thrd third-party
• smallER, fastER, IDL-to-code-generation

Thrift

• Apache
• open source
• ☐ written in c++
• supports {C++, Java, Python, PHP, Ruby, Erlang, Perl, Haskell, C#, Cocoa, JavaScript, Node.js, Smalltalk, OCaml and Delphi}, RPC
• small, fast, IDL-to-code-generation

Avro

• Apache
• open source
• ☐ written in java
• supports {Java, C, C++, C#, Python, Ruby}
• interoperability (Binary or JSON, read and write Protobuf and Thirft), JSON schema, does not need to be generated, RPC, splitable by hadoop mapreduce

Infra

• ☑ How to test infrastructure code (e.g. terraform/kubernates)
• ☑ History of Infra as Code

AWS

• ☑ Everything You Need To Know About Networking On AWS

Lambda

• ☑ The Right Way of Tracing AWS Lambda Functions

Java

• ☑ Implementing a Maven Archetype to Generate Spring Boot-Based Services
• ☐ A Quick Catch up Before Java 11

Ruby

• ☑ Rails Patterns and Anti-patterns
• ☐ The Well-Grounded Rubyist

Jamal

Cloud Computing

• ☑ Cloud Computing for Beginners
• ☑ Cloud Computing AWS: Introduction to EC2
• ☐ AWS Cloud Practicitoner Essentials

Infrastructure as Code

• ☐ Setting up and executing basic Ansible playbook
• ☐ 10 Things you should start using in your Ansible Playbook

Continuous Delivery and Continuous Deployment

• ☐ Exploring new frontiers in CI/CD and DevOps
• ☐ Martin Fowler ContinuousDelivery
• ☐ Martin Fowler Continuous Integration
• ☑ Best practices for continuous integration and delivery - Google Cloud

Tests

• ☐ The Practical Test Pyramid
• ☐ Martin Fowler Test Pyramid
• ☐ Unit Testing with JUnit - Tutorial
• ☐ Mocks Aren't Stubs
• ☐ Write tests. Not too many. Mostly integration

Devops

• ☐ Tips for High Availability
• ☑ A Beginner-Friendly Introduction to Containers, VMs and Docker
• ☐ Monitoring and Observability
• ☐ Observability and Instrumentation
• ☐ Monitoring and Observability
• ☐ Understanding Devops

Software Architecture

• ☑ Modelling Reactive Systems with Event Storming and Domain-Driven Design
• ☐ Reactive Architecture
• ☐ Martin Fowler Microservices
• ☐ Resiliency in Distributed Systems

Others

• ☐ Scrum Framework
• ☐ Clean code The curse of a boolean parameter
• ☐ GIT Good - A Practical Introduction to GIT and GitHub
• ☐ My 4 rules for writing clean code