Added items, edited formatting

readme.md

@@ -26,6 +26,15 @@ Started By Gabriel Leon de Mattos
 
 [Tools](#tools)
 
+* [Relational Database](#Relational-Database-Management-System)
+* [NoSQL](#NoSQL)
+* [Distributed File Systems](#Distributed-File-Systems)
+* [Resource Management](#Resource-Management)
+* [Message Broker](#Message-Broker)
+* [Load Balancers](#Load-Balancers)
+* [Core Hadoop Ecosystem](#Core-Hadoop-Ecosystem)
+* [REST Framework](#REST-Framework)
+
 [Bonus](#bonus)
 
 # Articles
@@ -40,8 +49,6 @@ Started By Gabriel Leon de Mattos
 
 - [System Design in Software Development](https://medium.com/the-andela-way/system-design-in-software-development-f360ce6fcbb9) - Basic article on the topics of system design and architecture.
 
-- [Everything you need to know about Design System](https://uxdesign.cc/everything-you-need-to-know-about-design-systems-54b109851969) - Another introductory article written in a friendly way.
-
 - [System Design](https://www.interviewbit.com/courses/system-design/) - Introductory interview preparation resources.
 
 - [Design Pattern for Distributed Systems](https://www.codemag.com/Article/1909071/Design-Patterns-for-Distributed-Systems) - Article talking about some patterns as well as some technologies to be considered.
@@ -94,6 +101,10 @@ A collection of videos based on distributed systems.
 
 - [System Design Interview](https://www.youtube.com/c/SystemDesignInterview/) - YouTube channel focussed on content specific to system design interviews, with detailed explanation of a variety of problems.
 
+- [Intro to Architecture and System Design Interviews](https://www.youtube.com/watch?v=ZgdS0EUmn70) - A youtube video with Jackson Gabbard with good info about system design interviews.
+
+- [System Design Introduction for Interview](https://www.youtube.com/watch?v=UzLMhqg3_Wc) - Tushar's intro to System Design.
+
 ## Advanced
 
 - [The evolution of Reddit Architecture](https://www.youtube.com/watch?v=nUcO7n4hek4) - Overview of how Reddit system design scaled. 
@@ -181,6 +192,12 @@ A collection of videos based on distributed systems.
 
 - [Kubernetes](https://kubernetes.io/) - Highly popular way to deploy, manage and automatically scale a cluster of containers on bare-metal or virtual servers.
 
+## Stream Processing
+
+- [Apache Samza](http://samza.apache.org/) - Build stateful applications that process data in real time from multiple sources, including Kafka. Easy and inexpensive multi-subscriber model, can eliminate backpressure and has reliable persistency with low latency.
+- [Apache Flink](https://flink.apache.org/) - Based on the concept of streams and transofrmations. Uses maven, handles batch tasks as data streams with finite boundaries. Low latency, high throughput.
+- [Amazon Kinesis Streams](https://aws.amazon.com/kinesis/data-streams/) - Durable, scalable real time service. Collects gigabytes of data per second from hundreds of thousands of sources, including database event streams, website clickstreams, financial transactions, etc.
+
 ## Message Broker
 
 - [Amazon MQ](https://aws.amazon.com/amazon-mq/) - Open source message broker from Amazon.
@@ -232,7 +249,7 @@ message broker written in erlang that also supports multiple messaging protocols
 
 - [Azure Load Balancing](https://docs.microsoft.com/en-us/azure/load-balancer/load-balancer-overview) - Popular choice for Microsoft's Azure customers. Supports internal and external traffics, ipv6, monitorining and the standard load balancing set of features.
 
-## Core Hadoop Ecosystem
+##  Hadoop Ecosystem
 
 <img src="https://raw.githubusercontent.com/madd86/awesome-system-design/master/media/hadoop-ecosystem.png" align="center" width="330">
 
@@ -261,6 +278,7 @@ message broker written in erlang that also supports multiple messaging protocols
 - [Tez](https://tez.apache.org/) - Solves a similar problem to Spark and MapReduce, it's more efficient than MapReduce because it calculates the most efficient way of doing it.
 - [Map Reduce](https://hadoop.apache.org/docs/current/hadoop-mapreduce-client/hadoop-mapreduce-client-core/MapReduceTutorial.html) - MapReduce, as the name implies, maps data and reduce the results. 
 - [Spark](https://spark.apache.org/) - Powerful data processing to not only process data like Tez (and MapReduce), it can process streams of data in real time, apply regression analysis algorithms in ML and much more. 
+- [Apex](https://apex.apache.org/) - *Retired project, it's a YARN-native platform that unifies stream and batch processing. 
 
 ### DB
 
@@ -279,3 +297,5 @@ message broker written in erlang that also supports multiple messaging protocols
 - [Express.js](https://github.com/expressjs/express) - [49.6k ⭐] - Fast node.js rest api that can perform well under many scenarios.
 - [Rails](https://github.com/rails/rails) - [46.2k ⭐] - Written in Ruby, Rails delivers quick apis from prototype to production in an efficient manner.
 - [Play Framework](https://github.com/playframework/playframework) - [11.6k ⭐] - Very fast, high throughput framework written in Scala/Java that is RESTful by default.
+- [Flask](https://github.com/pallets/flask) - [51.6k ⭐] - A lightweight Python Microframework for fast prototyping and production. 
+- [Django REST](https://github.com/encode/django-rest-framework) - [18.4k ⭐] - Written in Python, Django Rest is a powerful and flexible REST API. The efficiency and time to market resembles Rails.