One Diagram to Refer for Microservices Roadmap


Companies like Netflix, Amazon, and others have adopted the concept of microservices in their products due to large benefits offered by microservices.

As we understand, many developers want to know how they should start this journey. So I decided to make this journey clearer by defining a road map for this learning curve.

Container - A container is a standard unit of software that packages up code and all its dependencies so the application runs quickly and reliably from one computing environment to another.

Container orchestration automates containers' deployment, management, scaling, and networking. Enterprises that need to deploy and manage hundreds or thousands of Linux® containers and hosts can benefit from container orchestration.

Load balancer is a device that acts as a reverse proxy and distributes network or application traffic across several servers.
Load balancers are used to increase the capacity (concurrent users) and reliability of applications.

Monitoring and Alerting : In a microservice architecture, if you want to have a reliable application or service, you have to monitor the functionality, performance, communication, and any other aspect of your application in order to achieve a responsible application. Promethous is widely popular.

Distributed Tracking - when it comes to microservice architecture, a request may be passed through different services, which makes it difficult to debug and trace because the codebase is not in one place, so here distributed tracing tool can be helpful.

Message Broker - A message broker is software that facilitates the exchange of messages between applications, systems, and services.

Database - in most systems, we need to persist data, because we would need the data for further processes or reporting, etc.


Caching - Caching reduces latency in service-to-service communication of microservice architectures.

Cloud service provider -is a third-party company offering a cloud-based platform, infrastructure, application, or storage services.

API Management: API management is the process of designing, publishing, documenting, and analyzing APIs in a secure environment.

Application Gateway -An application gateway or application level gateway (ALG) is a firewall proxy that provides network security. It filters incoming node traffic to certain specifications, meaning only transmitted network application data is filtered.

Service Registration -A service registry is a database used to keep track of the available instances of each microservice in an application. The service registry needs to be updated each time a new service comes online and whenever a service is taken offline or becomes unavailable.



#microservices #microservicesarchitecture #database #nosql #architecture #systemdesign #java # #cloud #software #management #kubernetes #docker #deveops# #learning #learningeveryday

𝗖𝗼𝗺𝗽𝗹𝗲𝘁𝗲 𝗡𝗼𝘁𝗲𝘀 𝗢𝗻 𝗥𝗘𝗦𝗧 𝗔𝗣𝗜 𝗳𝗼𝗿 𝗜𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄 𝗣𝗿𝗲𝗽𝗮𝗿𝗮𝘁𝗶𝗼𝗻.

𝐖𝐡𝐲 𝐑𝐄𝐒𝐓 𝐀𝐏𝐈 𝐢𝐬 𝐈𝐦𝐩𝐨𝐫𝐭𝐚𝐧𝐭 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧?

𝙅𝙎𝙊𝙉, 𝙀𝙣𝙙𝙥𝙤𝙞𝙣𝙩𝙨, 𝙋𝙤𝙨𝙩𝙢𝙖𝙣, 𝘾𝙍𝙐𝘿, 𝘾𝙪𝙧𝙡, 𝙃𝙏𝙏𝙋, 𝙎𝙩𝙖𝙩𝙪𝙨 𝘾𝙤𝙙𝙚, 𝙍𝙚𝙦𝙪𝙚𝙨𝙩, 𝙍𝙚𝙨𝙥𝙤𝙣𝙨𝙚, 𝘼𝙪𝙩𝙝𝙚𝙣𝙩𝙞𝙘𝙖𝙩𝙞𝙤𝙣, or something else…
If you’re familiar with the above word then surely you might have worked on some kinds of APIs (especially those who are experienced developers) in your backend application. Maybe a payment gateway API, Google Maps API, Sending an Email APIs, or any other kind of APIs depending on the type of application and the requirements. 

The most popular and common thing you will hear while working on API is…
𝗥𝗘𝗦𝗧 𝗔𝗣𝗜…

What it is? Why is it being used? Why it is the first priority of programmers when it comes to implementing an API? Many questions will pop up in your mind when you will start working on REST API. 

So here you will get all the answers.


https://www.linkedin.com/in/aman-raj-6168b616a

#restapi #frontend #backenddeveloper #json #postman #crud #statuscode #databases #sql #nosql #dsa #interviewpreparation #interview #jobs #nodejs #reactjs #python #javascript #java #webdevelopment #developer #softwareengineer #itservices #services #fullstackdeveloper #aws #cloud #authentication #linkedin #content #google #email

🚀 7 Data Engineering Projects for FREE!

Don't Burst Your Head !!

👨🏻‍💻 Here are the 7 Projects that you can start this weekend


1. Building Data Model and Writing ETL Job - https://lnkd.in/dQSm-d_k

Data modeling is an essential part of Data Engineering, DO NOT SKIP THIS!!!

What will you learn?
✅ Python
✅ SQL
✅ Building Data Models
✅ Basics of DBMS
✅ Writing ETL Job
✅ Querying Data Programmatically
✅ PostgreSQL


2. ETL Pipeline on AWS Cloud - https://lnkd.in/d4iy9Dgd

If have no idea about Cloud Computing then this project is for you

What will you learn?
✅ Python
✅ SQL
✅ Cloud Computing Basics
✅ AWS Services - Athena, Glue, Redshift, S3, IAM
✅ Creating Data Pipeline

3. Covid Data Analysis Project - https://lnkd.in/d2u4tS3R

This will be your first end-to-end Data Engineering project on Covid-19 Data

What will you learn?
✅ Python
✅ SQL
✅ Building Data Model
✅ AWS Services - Athena, Glue, Redshift, S3, IAM
✅ Creating Data Pipeline
✅ PostgreSQL


4. YouTube Data Analysis (End-To-End Data Engineering Project) - https://lnkd.in/dS8FwupT

This is a 3-hour long project where you will execute a complete Data Engineering project

What will you learn?
✅ Python and PySpark
✅ SQL
✅ How to understand the business problem
✅ AWS Services - Athena, Glue, Redshift, S3, IAM, Lambda, Quicksight
✅ Building Data Pipeline and Scheduling it

5. Twitter Data Pipeline using Airflow - https://lnkd.in/dkwdmPnS

If you are someone who wants to learn the basics about Airflow and how to build a data pipeline this project is for you

What will you learn?
✅ Python
✅ Basics of Airflow
✅ Working with Twitter Data and Package - Tweepy
✅ Python Package - Pandas
✅ Writing ETL job and storing data on S3

6. Extract Data From Amazon Website - https://lnkd.in/dccEasSH

Learn how to extract data from one source and build a dataset from it.
What will you learn?
✅ HTML Basics
✅ Web Scraping fundamentals
✅ Python
✅ Packages (BeautifulSoup, Pandas, Numpy)
✅ How to build a CSV file

7. Stock Market Real-Time Data Analysis using Kafka, AWS, and Python - https://lnkd.in/dWSjqcFf

What will you learn?
✅ Build a Real-Time simulation app using Python
✅ Understand the basics of Kafka (Broker, Producer, Consumer, Zookeeper, and many more)
✅ How install Kafka on EC2 (or any VM)
✅ Write Producer and Consumer code in Python
✅ Generate a real-time streaming pipeline and store data in S3
✅ Analyze Data in Real-Time using Athena

Credit Darshil Parmar for this Amazing Post !! This Guy is Doing a Amazing Job for the DE Folks out there !!

Tagging W3Schools.com as well for these best Resources !!


Tagging Neel shah , Suraz G. , POOJA JAIN , Arif Alam , Ashish Patel 🇮🇳


#dataengineering #dataengineer #dataanalytics #bigdata #dataanalysis #datasciences #sql #server #datasciences #python #data #pandas #business #html #aws #project #building #amazon #covid #projects #cloud #cloudcomputing #writing #career #stockmarket #pipeline #streaming #comment