Community Picks·4yNetflix System Design- Backend Architecture
Netflix accounts for about 15% of the world's internet bandwidth traffic. Netflix operates in two clouds Amazon Web Services and Open Connect (Netflix content delivery network) The overall Netflix system consists of three main parts. Zuul as its API gateway is built to allow dynamic routing, traffic monitoring, and security, resilience to The Netty handlers on the front and back of the filters.
Community Picks·3yThe complete guide to System Design in 2022
System Design is the process of defining the architecture, interfaces, and data for a system that satisfies specific requirements. System design meets the needs of your business or organization through coherent and efficient systems. The complete guide to System Design Interview in 2022 is available.
freeCodeCamp·4yBest Practices for Scaling Your Node.js REST APIs
Use throttling at the first junction point between your application and the News Feed Service. Use the ELK stack for setting up a good logging and alerting pipeline. If a request goes through multiple services during the lifecycle, you can pass along a unique ID in the logs to capture a particular request across all the services.
LogRocket·4yMicroservices with NestJS, Kafka, and TypeScript
The microservices architecture is an increasingly popular architecture pattern that follows the SOA (Service Oriented Architecture) concept. This guide will demonstrate how to build microservices using NestJS, Kafka, and TypeScript. You will create an authentication microservice to create and save user details.
Quastor Daily·3yHow McDonalds implements Event Driven Architectures
McDonalds has the most downloaded restaurant app in the United States, with over 24 million downloads in 2021. For their backend, McDonalds relies on event driven architectures (EDAs) for many of their services. McDonalds wanted to build a unified eventing platform that could manage the communication between different producers and consumer services at the company.
Faun·4yWhy you should learn Apache Kafka
Kafka is an event streaming platform. It is one of the most popular events streaming platforms used by various industry giants including NETFLIX, PayPal, Spotify, Twitter and Airbnb. Kafka has topics, to which the producers will push events and the end consumers will keep polling for new messages on that topic.
Towards Dev·4yKafka or RabbitMQ: What to Use When
Distributed messaging is based on the concept of reliable message queuing. Messages are queued asynchronously between client applications and messaging system. RabbitMQ is the ordinary queue management protocol (mainly using FIFO). Kafka also act as almost same but more than that we consider it as a stream processing system.
InfoWorld·4yThe best open source software of 2022
The best open source software of 2022 InfoWorld’s 2022 Bossie Awards celebrate the most important and innovative application development, devops, data analytics, and machine learning tools of the year. SvelteKit and Nuxt, as well as newer entrants like Blitz.js, are exploring new approaches and techniques.
Pointer·4yEvent Driven Architecture — 5 Pitfalls to Avoid
At Wix we have been gradually migrating our growing set of microservices from the request-reply pattern to event driven architecture over the last few years. Below there are 5 pitfalls that Wix engineers have encountered during our experimentation with event-driven architecture.
Dev Genius·4yKafka: Everything you need to know
Kafka offers much higher performance than message brokers like RabbitMQ. It uses sequential disk I/O to boost performance, making it a suitable option for implementing queues. It can achieve high throughput (millions of messages per second) with limited resources, a necessity for big data use cases.
Section·4yWhy Kafka is the Future of Messaging
Apache Kafka is a distributed, partitioned, replicated commit log service. It helps you process a large amount of data through the use of various Kafka consumers. It can be used as the central nervous system of a distributed architecture that delivers data to multiple systems. The primary reason behind developing Apache Kafka was to serve companies with fast and efficient data pipelines.
Analytics Vidhya·3yIntroduction to Apache Kafka: Fundamentals and Working -
Kafka is a distributed, real-time streaming platform for large-scale data processing. It uses Kafka for many things, such as computing the cab fare in real time depending on the demand, destination, and availability of cabs. Kafka is an evolution of pub-sub messaging where messages are stored and transformed as they occur.
ByteByteGo·4yEP31: Super High-performance NoSQL and MQ
The data platform ingests, processes, analyzes and presents data generated by different data sources. No JVM, No GC Kafka and Cassandra are written in JVM-compatible languages and usually suffer from high tail latency. Redpanda and ScyllaDB are rewritten from scratch using C++ and leverages some new frameworks.
DZone·4yGet Started With Kafka and Docker in 20 Minutes
Kafka runs on the platform of your choice, such as Kubernetes or ECS, as a cluster of one or more Kafka nodes. A Kafka cluster will be initialized with zero or more topics, which you can think of as message channels or queues. Create the Dockerfile alongside the other three files that were just created and add the following: Dockerfile. Save and close. Subsequent commands will be run in this folder.
Analytics Vidhya·4yApache Kafka Architecture and Use Cases Explained
Kafka is a distributed publish-subscribe messaging system. It has a full queue that can accept large amounts of message data. Kafka is used by big internet companies like LinkedIn, Twitter, Airbnb, and many others. This article was published as a part of the Data Science Blogathon.
LogRocket·4yBuilding Rust microservices with Apache Kafka
Kafka-based microservices built with Rust usually have one or more producers and consumers. In this article, you’ll learn how to build a microservice using Rust with Kafka. The producer is connected to your local server at localhost:9092. The consumer we created above reads events published to the topic- Name topic and prints the event’s message to the console. It works in more detail. The consumer is created.
Quastor Daily·4yBuilding a Search Index with Kafka and Elasticsearch
How computers in a distributed system synchronize their clocks. How computers do this using NTP (Network Time Protocol) Brief overview of how NTP works. How DoorDash Built a Faster Indexing System for their Search feature. Using Kafka as a message queue, Apache Flink for data transformation and Elasticsearch as the search engine.
Medium·3yHow we reduce our Streaming cost by 90% using Benthos
Benthos is a brand new open-source data streaming service that is written in GO. It's based on GO instead of JVM, which gives it outstanding performance, native support for K8S, and all the connectors/sinks you can think of. The deployment is fully scalable and will scale up & down.
InfoQ·4yNetflix Builds a Custom High-Throughput Priority Queue Backed by Redis, Kafka and Elasticsearch
Netflix built Timestone, a custom high-throughput, low-latency priority queueing system. Netflix built the queuing system using open-source components such as Redis, Apache Kafka, Apache Flink and Elasticsearch.
Towards Dev·4y3 Simple steps to set up Kafka locally using Docker
Make sure that you have Docker installed on your machine. Download the spotify/kafka image and run the image as a docker container. Create your very first Kafka topic: There are currently no topics present on the Kafka broker, you can go ahead and create one to see if everything works as expected.
Dev Genius·4yUsing Kafka For System Integration
Use Kafka to connect multiple systems that are on different machines or different networks. Using Kafka For System Integration Tosho Todorovski shares his tips on how to use the service on a Linux server on Microsoft's Azure platform. The first step is to create a dedicated user for the service.
Hashnode·4yThe Most Undervalued Skill of Programmers
Programmers are always learning. Whether it's learning a new language, a new framework, design patterns, or even a keyboard shortcut. It makes them and their team more productive, saving valuable time for their company. But we rarely talk about the skill of making code easy to understand.
Okta Dev·4yCommunicate Between Microservices with Apache Kafka
Communicate between microservices with Apache Kafka Communicate Between Microservices with Kafka. This model can exhibit low latency but only works if services are made highly available. In your jhipster-kafka folder, import this file with the following command: Jhipster jdl apps. In the project folder, create a sub-generator.
