Tools malekmfs is Following

Ruby
Ruby is a language of careful balance. Its creator, Yukihiro “Matz” Matsumoto, blended parts of his favorit...
Rails
Rails is a web-application framework that includes everything needed to create database-backed web applicat...
Sinatra
Sinatra is a DSL for quickly creating web applications in Ruby with minimal effort.
Scala
Scala is an acronym for “Scalable Language”. This means that Scala grows with you. You can play with it by ...
PostgreSQL
PostgreSQL is an advanced object-relational database management system that supports an extended subset of...
Redis
Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and mess...
Hadoop
The Apache Hadoop software library is a framework that allows for the distributed processing of large data ...
RabbitMQ
RabbitMQ gives your applications a common platform to send and receive messages, and your messages a safe p...
Kafka
Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a mess...
CoffeeScript
It adds syntactic sugar inspired by Ruby, Python and Haskell in an effort to enhance JavaScript's brevity a...
Kubernetes
Kubernetes is an open source orchestration system for Docker containers. It handles scheduling onto nodes i...
Elixir
Elixir leverages the Erlang VM, known for running low-latency, distributed and fault-tolerant systems, whil...
Apache Spark
Spark is a fast and general processing engine compatible with Hadoop data. It can run in Hadoop clusters th...
Presto
Distributed SQL Query Engine for Big Data
Crystal
Crystal is a programming language that resembles Ruby but compiles to native code and tries to be much more...
Julia
Julia is a high-level, high-performance dynamic programming language for technical computing, with syntax t...
Apache NiFi
An easy to use, powerful, and reliable system to process and distribute data. It supports powerful and scal...
Delta Lake
An open-source storage layer that brings ACID transactions to Apache Spark™ and big data workloads.