T-shaped Software Architect

A repository to enlist broader technology knowledge a T-shaped software architect is recommended to aspire for.

Definition

A software architect's knowledge base needs to be constantly expanded in the modern environment of rapidly evolving technological dynamics.

T-shaped skills: The vertical bar on the letter T represents the depth of related skills and expertise in a single field, whereas the horizontal bar is the ability to collaborate across disciplines with experts in other areas and to apply knowledge in areas of expertise other than one's own. Wikipedia definiton of a T-shaped skills

Applying the above concept of T-shaped skills to a software architect, you can focus on certain areas of technology (such as frontend, backend or full-stack up to certain extent) as a specialist but need to have a broader understanding other technology spectrum.

Visual Representation

Specialization Areas (The T-knowledge Vertical Bar)

Specialization in Java/Python/Golang/JavaScript or any other programming language
Specialization in web programming, data engineering, machine learning, or other subject areas
You can choose from the below broader knowledge areas and make one or more as your specialization.

Knowledge Level

You can broadly classify your knowledge level into 4 different buckets:

Expert Knowledge: Classify a technology in this area when you are hands-on for more than 3+ years and have in-depth knowledge.
Experimental Knowledge: Classify a technology in this area when you are hands-on for more than 1+ years and have basic knowledge.
Know-how: Classify a technology in this area when you are understand the technology and used it on need basis.
Want-to Experiment: Classify a technology in this area when you want to aspire to learn it in near future.

Broader Knowledge Areas (The T-knowledge Horizontal Bar)

The intention is not to enlist every technology and keeping it to 3-7 (currently pupular) in each area.
Note that this is a community-driven decision and based on observations from the group of people. There is no statistical data available to support this.

User Experience

Programming

Angular
React
NextJS
Ionic
Vue
Svelte

CSS

Bootstrap
Foundation
Bulma
UIKit
Materialize
Skeleton
Tailwind
Semantic UI
Milligram
Pure
Tachyons
Primer

Microservices/APIs

Frameworks

Spring Boot
Helidon
Micronaut
Play f/w
ASP.NET
.NET Core
Flask
Falcon
Vert.x
ExpressJS
Gokit

API Management

Apigee
MuleSoft
Kong
NGINX
AWS API Gateway
Azure Gateway
WSO2

GraphQL

Express
Apollo
Hasura

Service Mesh

Istio
Linkerd
Kong Mesh

Database

RDBMS

PostgreSQL
Oracle
MS SQL
Microsoft SQL Server
Neon
Google Cloud Spanner

NOSQL

MongoDB
Cassandra
Elastic
Neo4J
CouchDB
DynamoDB
CosmosDB

Graph

Neo4J
ArrangoDB
Amazon Neptune

Caching

Redis
Hazelcast
Oracle Coherence
Apache Ignite
Gigaspaces
AWS ElasticCache
Azure Cache
Google Cloud Memorystore

Data Warehouse & Datalake

DWH/Datalake

Snowflake
Databricks
Informatica

Data Processing & Workflow

Apache Beam
Apache Spark
Apache Airflow

Messaging/Event-broker

Kafka
Pulsar
RabbitMQ
NATS
Solace

Public Cloud

Cloud Assessment Migration Frameworks

AWS

EC2
S3
Lambda
EKS
RDS
CloudFront
IAM

Azure

Logic Apps
Azure Function
DevOps
VM

Google Cloud

BiqQuery
Anthos
GKE
Vertex AI
App Engine
Spanner

Observability

Monitoring

New Relic
Dynatrace
Elastic APM
Datadog
AppDynamics
Splunk
Grafana

Logging

AWS CloudWatch
Azure Logs
Datadog Log Management
Dynatrace
ElasticSearch (ELK)
Google Cloud Logging
Grafana Loki
New Relic Logs

Metrics

Prometheus
New Relic
Dynatrace
Datadog
AppDynamics
Splunk

Tracing

Splunk
SumoLogic
Opentelemetry
Jaeger
Zipkin
Grafana Tempo

DevOps

Kubernetes

GKE
EKS
AKS
Red Hat OpenShift

IaaC

Terraform
Pulumi
Cloudformation

Configuration Management

Ansible
Puppet
Chef

Continuous Integration/Continuous Deployment

Atlassian Bamboo
CircleCI
CloudBees CI
Codefresh
GitHub Actions
GitLab
GoCD
Jenkins
Jetbrains
TeamCity
Tekton
Travis CI

GitOps

ArgoCD
Flux CD

SRE

Google SRE Practices

Workflow

Camunda
AWS Step Functions
Apache Airflow

Low-code Platform

Outsystems
Mendix
ServiceNow
Microsoft
Pegasystems
Appian
Salesforce
GeneXus
WaveMaker
Quickbase

Performance Engineering

Performance Tactics

Reference: Software Architecture in Practice Book

Load Testing

Apache Jmeter
Load Runner
Blazemeter

Analytics

Web Analytics

Google Analytics
Google Tag Manager

Marketing Analytics

Security

Security Tactics/Practices

Reference: Software Architecture in Practice Book

SAST (Static application security testing)

GitLab
Whitehat Security
Checkmarx
HCL AppScan
Micro Focus Fortify
Veracode
Synopsys
GitHub
Data Theorem
Snyk

DAST (Dynamic application security testing)

Checkmarx
Data Theorem
GitLab
HCL AppScan
Invicti
Micro Focus Fortify
Rapid7
Synopsys
Veracode
Whitehat Security

SCA (Software Composition Analysis)

Checkmarx
Contrast Security
GitHub
GitLab
HCL AppScan
Micro Focus Fortify
Rapid7
Snyk
Synopsys
Veracode
WhiteHat Security

Software Architecture and Design

Architectural Styles

Layered Architecture
Microservices Architecture
Pipeline Architecture
Microkernel Architecture
Service-based Architecture
Event-driven Architecture
Space-based Architecture
Service-oriented Architecture

Design Patterns

GoF Patterns
Domain-driven Design
Integration (EAI) Patterns
Cloud-design Patterns
Cloud-native Patterns
The Twelve-factor App

Viewpoints & Perspectives

Complete List of Viewpoints & Perspectives

Enterprise Architecture

TOGAF
Zachman

Program Management

License

ankurkumarz/t-shaped-architect

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