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This video covers When to use Kafka and when to use REST Templates in Microservices Architecture 📌 Related Playlist 🔗Spring Boot Primer - 🤍 🔗Spring Cloud Primer - 🤍 🔗Spring Microservices Primer - 🤍 🔗Spring JPA Primer - 🤍 🔗Java 8 Streams - 🤍 🔗Spring Security Primer - 🤍 🔗Containers Primer - 🤍 🔗Kubernetes Primer - 🤍 🔗AWS Primer - 🤍 💥Join TechPrimers Slack Community: 🤍 💥Telegram: 🤍 💥TechPrimer HindSight (Blog): 🤍 💥Website: 🤍 💥Slack Community: 🤍 💥Twitter: 🤍 💥Facebook: 🤍 💥GitHub: 🤍 or 🤍 🎬Video Editing: iMovie 🎼Background Music: Joakin Karud - 🔥 Disclaimer/Policy: The content/views/opinions posted here are solely mine and the code samples created by me are open sourced. You are free to use the code samples in Github after forking and you can modify it for your own use. All the videos posted here are copyrighted. You cannot re-distribute videos on this channel in other channels or platforms. #Kafka #REST #TechPrimers
Apache Kafka is an open-source distributed event streaming platform used by thousands of companies for high-performance data pipelines. In this Kafka Tutorial you will learn how to get up and running Kafka, Configure topics, Producers and Consumer. We will use Spring Boot and build a Restful API that will integrate with Kafka eco system. #kafka #springboot #amigoscode FULL COURSE AVAILABLE HERE: 🤍 Don't Forget to = 💯 Subscribe to Amigoscode - 🤍 💯 Courses Available for free here - 🤍 💯 Join Private Facebook Group and Discord - 🤍 ⭐ Table Of Contents ⭐ = 00:00 - Intro 01:17 - Quick Word 02:19 - Kafka 10:22 - Kafka Broker 15:22 - Bootstrap Project 17:33 - Topic 20:38 - Producer Config 26:41 - Kafka Template 30:26 - Kafka Consumer 34:33 - Consumer Config 39:59 - 🤍KafkaListener 44:03 - Restful API and Kafka 48:39 - Spring Kafka Documentation 49:53 - Outro 🙊 Here are the goods for all my videos video 🙊 ► Recommended Books = - Clean Code - 🤍 - HTTP: The Definitive Guide - 🤍 - Clean Architecture - 🤍 ► Computer and Monitor = - New Apple MacBook Pro - 🤍 - Dell 27 INCH Ultrasharp U2719D Monitor - 🤍 - Double Arm Stand Desk Mount - 🤍 - USB C Hub Multiport Adapter - 🤍 ► Camera Gear = - Sony ILCE7M3B Full Frame Mirrorless Camera - 🤍 - Sigma 16 mm F1.4 DC DN - 🤍 - Sigma 33B965 30 mm F1.4 DC DC - 🤍 ► IDE & Tools I use for coding 💻 🎒 = - ITerm - VsCode - GoLand - IntelliJ Ultimate - Sublime P.S = 💯 Don't forget to subscribe | 🤍 💯 Join Private Facebook Group and Discord - 🤍 💯 Follow me on Instagram | 🤍 ❤️ Thanks for watching
Please subscribe to our YouTube channel 🤍 🤍 Like us on Facebook 🤍 🤍 Follow us on Twitter 🤍 🤍 Streaming is all the rage in the data space, but can stream processing be used to build business systems? Do Streaming and Microservices actually have anything in common? These are the questions we’ll explore in this talk by looking at how real-world Streaming Microservices are actually built. We'll explore how services collaborate using events instead of traditional REST calls. We'll take this idea a step further using Kafka’s Streams API: embedding the ability to join and process data right inside our services. Finally we'll build a fictitious system, from the ground up, using these tools and techniques, bridging the sync-async divide to form bounded contexts separated by an asynchronous, event-driven core.
Please subscribe to our YouTube channel 🤍 🤍 Like us on Facebook 🤍 🤍 Follow us on Twitter 🤍 🤍 This session will begin with a short recap of how we created systems over the past 20 years, up to the current idea of building systems, using a Microservices architecture. What is a Microservices architecture and how does it differ from a Service-Oriented Architecture? Should you use traditional REST APIs to integrate services with each each other in a Microservices Architecture? Or is it better to use a more loosely-coupled protocol? Answers to these and many other questions are provided. The talk will show how a distributed log (event hub) can help to create a central, persistent history of events and what benefits we achieve from doing so. Apache Kafka is a perfect match for building such an asynchronous, loosely-coupled event-driven backbone. Events trigger processing logic, which can be implemented in a more traditional as well as in a stream processing fashion. The talk shows the difference between a request-driven and event-driven communication and answers when to use which. It highlights how a modern stream processing system can be used to hold state both internally as well as in a database and how this state can be used to further increase independence of other services, the primary goal of a Microservices architecture. Guido Schmutz works for the Oracle Platinum Partner Trivadis. At Trivadis he is responsible for the innovation in the area of SOA, BPM and Application Integration solutions and leads the Trivadis Architecture Board. He has long-time experience as developer, coach, trainer, and architect in the area of building complex Java EE and SOA-based solutions. Currently, he is focusing on the design and implementation of SOA and BPM projects using the Oracle SOA stack. Another area of interest are Big Data and Fast Data solutions, and how to combine these emerging technologies in a modern information and software architecture. Guido is an Oracle ACE director for Fusion Middleware and SOA and a regular speaker at international conferences.
Microservices is an architectural style that structures an application as a collection of loosely coupled services, which implement business capabilities. Apache Kafka can play a very important role in implementing Microservices Architecture. Kafka™ is used for building real-time data pipelines and streaming apps. It is horizontally scalable, fault-tolerant, fast, and runs in production in thousands of companies. Come and join us for a webinar where we will discuss how Apache Kafka fits in Microservices Architecture. Presenter: Faheem Javed Recorded on: May 29, 2018 Related courses: WA2684 Developing Microservices 🤍 DevOps Training and Courseware 🤍 Web Age Solutions provides mentoring services and skills training to companies navigating the world of online business. Using industry-standard methodologies, we help our clients build efficient and cost-effective e-business systems. Our mentoring programs support the rapid development of mission-critical applications, while our technicians transfer their skills and knowledge to help clients maintain success. Not only does Web Age have hundreds of proprietary training courses to meet your needs, we also offer a full suite of services-from initial consulting to full implementation of your e-business strategy-delivered by experienced technicians and teachers. As a result, Web Age Solutions is the ideal e-business education partner. Follow us on Facebook 🤍 Follow us on Twitter 🤍 Follow us on Instagram 🤍 Follow us on LinkedIn 🤍
Learn the principles of Apache Kafka and how it works through easy examples and diagrams! If you want to learn more: 🤍 Get the Apache Kafka Series - Learn Apache Kafka for Beginners v2 course at a special price! Don’t forget to subscribe to get more content about Apache Kafka and AWS! I'm Stephane Maarek, a consultant and software developer, and I have a particular interest in everything related to Big Data, Cloud and API. I sat on the 2019 Program Committee organizing the Kafka Summit. I'm also an AWS Certified Solutions Architect, Developer, SysOps Administrator, and DevOps Engineer. My other courses are available here: 🤍 Follow me on social media: LinkedIn - 🤍 Twitter - 🤍 Medium - 🤍
In this tutorial we will learn how to use Kafka to communicate between microservices and pass events between containers So we will learn how to create microservices and how to manage multiple projects using microservices and actual implementation and use case of Kafka with from scratch We will also learn what are the extensions of VSCcode for using Kafka How to write docker compose file and how to manage multiple Servies is what we are going to cover in this session Find me anywhere : 🤍itsmaheshkariya #Kafka #Microservices #EventDrivenArchitecture
Anytime you have a dependency on a third-party tool/application, one of the most common questions an engineer asks themselves is how can I integrate with this tool/application from my local development environment. Being able to integrate with these things locally reduces the feedback loop making development easier and more cost effective. In this session, Brian Mericle shows a few different ways to get Kafka up and running on your local machine and will also show how to interact with Kafka from the command-line. Check out Brian Mericle's liveProject: 📼 📼 📼 📼 Asynchronous Event Handling Using Microservices and Kafka | 🤍 To save 40% off this liveProject use discount code: twitmeri40 📼 📼 📼 About this liveProject: In this liveProject, you’ll use the Kafka distributed streaming data platform to help convert a legacy order fulfillment system to a sleek new asynchronous event-driven architecture. This architecture needs to deliver services that can scale and evolve independently, to speed up your clients eCommerce app. You’ll use the Go language to build a microservice, an event publisher, and multiple event consumers; and work with Kafka’s command-line tools to create, alter, and test topics.
Learn about inter microservice communication using asynchronous and synchronous strategies.
We all know Microservices come in all shapes and sizes. This include performing a range of tasks from handling user interaction, all the way to do the heavy lifting for complex compute operations, exposing different APIs, such as HTTP based web services, RPC technologies such as Avro or using queuing technologies such as RabbitMQ. While Microservices are also scalable on their own merits, but what if the volume of data is just too big? Apache Kafka is a highly scalable messaging system that was built to handle the internal messaging of one of the largest websites in the world, and support Big Data workloads in addition to its pub-sub capabilities. In this talk we will see how Kafka and its surrounding eco-system can fuel Microservices that need to scale to handle large amounts of data.
In today's environment of globally distributed large scale web applications, reactive, event-driven design is mandatory. In this talk, Natan showcases how we implemented a reliable, scalable, event-driven, distributed Mega Microservices architecture on top of Kafka but without Kafka streams. We, at Wix Engineering, have built powerful (soon-to-be-os) libraries for data streaming and data storage using Kafka features like compacted logs and exactly once semantics. These libraries offer low latency, high throughput event processing and also high volume data-storage with very simple and easy to understand APIs that work seamlessly together with other technologies such as gRPC. Natan presents the challenges faced while creating and fine-tuning such a system. An architecture that is comprised of a 1,000 micro-services that need to handle incoming traffic from multiple data centers while preserving eventual consistency and high throughput.
🤍 | Is it possible to have automated adoption of your event-driven architectures and microservices? The answer is yes! Alianna Inzana, product leader for API testing and virtualization at SmartBear, uses this evolutionary model to make event services reusable, functional, and strategic for both in-house needs and clients. SmartBear relies on Apache Kafka® to drive its automated microservices solutions forward through scaled architecture and adaptive workflows. Although the path to adoption may be different across use case and client requirements, it is all about maturity and API lifecycle management. As your services mature and grow, so should your event streaming architecture. The data your organization collects is no longer in a silo—rather, it has to be accessible across several events. The best architecture can handle these fluctuations. Alianna explains that although the result of these requirements is an architectural pattern, it doesn’t start that way. Instead, these automation processes begin as coding patterns on isolated platforms. You cannot rush code development at the coding stage because you never truly know how it will work for the end system. Testing must be done at each step of the implementation to ensure that event-driven architectures work for each step and variation of the service. The code will be altered as needed throughout the trial phase. Next, the product and development teams compare what architecture you currently have to where you’d like it to be. It is all about the product and how you’d like to scale it. The tricky part comes in the trial and error of bringing on each product and service one by one. However, once your offerings and architecture are synced, you’re saving time and effort not building something new for every microservice. As a result of event-driven architectures, you can minimize duplicate efforts and adapt your business offerings to them as the need arises. This is a strategic step for any organization looking to have a cohesive product offering. Architecture automation allows for flexible features that scale with your event services. Once these are in place, a company can use and grow them as needed. With innovative and adaptable event-driven architectures, organizations can grow with clients and scale the backend system as required. EPISODE LINKS ► Exploring Event-Driven Architectures: 🤍 ► Apache Kafka + Event-Driven Architecture Support in ReadyAPI: 🤍 ► Join the Confluent Community: 🤍 ► Learn more at Confluent Developer: 🤍 ► Kafka streaming in 10 minutes on Confluent Cloud: 🤍 ► Use 60PDCAST for $60 of free Confluent Cloud usage: 🤍 ► Promo code details: 🤍 CONNECT Subscribe: 🤍 Site: 🤍 GitHub: 🤍 Facebook: 🤍 Twitter: 🤍 LinkedIn: 🤍 Instagram: 🤍 ABOUT CONFLUENT Confluent is pioneering a fundamentally new category of data infrastructure focused on data in motion. Confluent’s cloud-native offering is the foundational platform for data in motion – designed to be the intelligent connective tissue enabling real-time data, from multiple sources, to constantly stream across the organization. With Confluent, organizations can meet the new business imperative of delivering rich, digital front-end customer experiences and transitioning to sophisticated, real-time, software-driven backend operations. To learn more, please visit 🤍confluent.io. #kafka #smartbear #microservices
Register for Kafka Summit: 🤍 Data is essential. It’s the lifeblood of our business, and without it we’re lost. The problem with data though, is all too often we can end up working for the data, rather than having the data work for us. So much of the systems we build are about managing data properly. Storing it safely, getting it where it needs to be. Making sure it is held safely, or that it is manipulated in the right way. The nature of the data we manage can end up constraining our applications in a host of ways. Rather than making data the constraint in our system, we need to find ways to better unlock the value it has for our organisations. In this keynote, Sam will look at how to reimagine the use of data to make sure the data works for us, not the other way around. CONNECT Subscribe: 🤍 Site: 🤍 GitHub: 🤍 Facebook: 🤍 Twitter: 🤍 LinkedIn: 🤍 Instagram: 🤍 ABOUT CONFLUENT Confluent, founded by the creators of Apache Kafka®, enables organizations to harness business value of live data. The Confluent Platform manages the barrage of stream data and makes it available throughout an organization. It provides various industries, from retail, logistics and manufacturing, to financial services and online social networking, a scalable, unified, real-time data pipeline that enables applications ranging from large volume data integration to big data analysis with Hadoop to real-time stream processing. To learn more, please visit 🤍 #confluent #apachekafka #kafka
This video covers how to leverage Kafka Streams using Spring Cloud stream by creating multiple spring boot microservices 📌 Related Links = 🔗 Github code: 🤍 🔗 Kafka setup: 🤍 🔗 Public Domain API: 🤍 📌 Related Videos = 🔗 Spring Boot with Spring Kafka Producer example - 🤍 🔗 Spring Boot with Spring Kafka Consumer example - 🤍 📌 Related Playlist 🔗Spring Boot Primer - 🤍 🔗Spring Cloud Primer - 🤍 🔗Spring Microservices Primer - 🤍 🔗Spring JPA Primer - 🤍 🔗Java 8 Streams - 🤍 🔗Spring Security Primer - 🤍 💥 Join TechPrimers Slack Community: 🤍 💥 Telegram: 🤍 💥 TechPrimer HindSight (Blog): 🤍 💥 Website: 🤍 💥 Slack Community: 🤍 💥 Twitter: 🤍 💥 Facebook: 🤍 💥 GitHub: 🤍 or 🤍 🎬Video Editing: FCP - 🔥 Disclaimer/Policy: The content/views/opinions posted here are solely mine and the code samples created by me are open sourced. You are free to use the code samples in Github after forking and you can modify it for your own use. All the videos posted here are copyrighted. You cannot re-distribute videos on this channel in other channels or platforms. #KafkaStreams #SpringCloudStream #TechPrimers
This video covers 2 different SAGA patterns - Choreography and Orchestration Join this channel by contributing to the community: 🤍 📌 Related Playlist 🔗Kubernetes Primer - 🤍 🔗Spring Boot Primer - 🤍 🔗Spring Cloud Primer - 🤍 🔗Spring Microservices Primer - 🤍 🔗Spring JPA Primer - 🤍 🔗Java 8 Streams - 🤍 🔗Spring Security Primer - 🤍 🔗Containers Primer - 🤍 🔗AWS Primer - 🤍 💥Join TechPrimers Slack Community: 🤍 💥Telegram: 🤍 💥TechPrimer HindSight (Blog): 🤍 💥Website: 🤍 💥Slack Community: 🤍 💥Twitter: 🤍 💥Facebook: 🤍 💥GitHub: 🤍 or 🤍 🎬Video Editing: iMovie 🎼Background Music: Dyalla Joakin Karud - 🔥 Disclaimer/Policy: The content/views/opinions posted here are solely mine and the code samples created by me are open sourced. You are free to use the code samples in Github after forking and you can modify it for your own use. All the videos posted here are copyrighted. You cannot re-distribute videos on this channel in other channels or platforms. #Microservices #SAGA #TechPrimers
Learn more about EDA → 🤍 Watch "What is Kafka?" lightboard video → 🤍 Learn more about FaaS → 🤍 Watch "What is FaaS" lighboard video → 🤍 Learn more about Serverless → 🤍 Watch "What is Serverless" lighboard video → 🤍 Read the Reactive Manifesto → 🤍 ► Check out IBM Cloud Pak for Integration → 🤍 ► Check out IBM Event Streams → 🤍 ► Check out IBM Garage for Cloud Event-Driven Reference Architecture → 🤍 What is an event-driven architecture, or EDA? And how does it enable real-time user interactions, pluggable microservices, and extensible streaming and data analytics? In this lightboard video, Whitney Lee from IBM Cloud, visually breaks down the answers to these questions and many more, as well as explains the several advantages and opportunities that an event driven architecture provides for developers and organizations in comparison to a request/response application architecture. Earn a badge with FREE interactive Kubernetes labs → 🤍 Get started on IBM Cloud at no cost → 🤍 Subscribe to the IBM Cloud channel to be notified when a new video drops → 🤍 #EDA #FaaS #Serverless
This video was recorded at Scala Days Berlin 2018 Follow us on Twitter 🤍ScalaDays or visit our website for more information 🤍 Find more information and the abstract here: 🤍
Welcome to Spring Boot Kafka Event-Driven Microservices Series. In this lecture, we will take a look into What is Event Driven Architecture? Event-driven architecture (EDA) is a software design pattern in which decoupled applications can asynchronously publish and subscribe to events via an event broker/message broker. Complete playlist: 🤍 #microservices #springboot #kafka
In this video I will show how to configure Spring Cloud to publish and read messages from Apache Kafka for the Message Queuing pattern. I will show how to configure Spring Cloud for both the raw Apache Kafka dependency and for the Stream dependency. This is the fifth video of the playlist where I will build a microservices architecture for a webpage, how to create microservices with Spring Boot and Spring Cloud, and how to handle the microservices with Docker and Kubernetes: 🤍 Content: * what is the messages queuing pattern; * how Apache Kafka implements the message queuing pattern; * how to configure Spring Cloud to publish and read from Apache Kafka; * how to configure Spring Cloud Streams to publish and read from Apache Kafka via Streams. Repository: 🤍 Facebook: 🤍 Twitter: 🤍 Buy Me a Coffee: 🤍 Icons: * Servers by Alexander Skowalsky from NounProject.com
In this tutorial, you will learn how to create a Spring boot Apache Kafka real-world project step by step. We will create two microservices and use Kafka as a messaging system to exchange messages between microservices. Apache Kafka is an open-source distributed event streaming platform used by thousands of companies for high-performance data pipelines. GitHub link - 🤍 We will read a large amount of real-time stream data from the Wikimedia and then we will write that data to the MySQL database. Lectures or Chapters - Lecture 1. Real-World Project Overview - 0:00:08 Lecture 2. Spring Boot Kafka Project Setup - 0:03:28 Lecture 3. Install and Setup Kafka - 0:04:30 Lecture 4. Wikimedia Producer Spring Boot Project Setup - 0:12:35 Lecture 5. Configure Wikimedia Producer and Create a Topic - 0:21:08 Lecture 6. Wikimedia Producer Implementation - 0:25:54 Lecture 7. Run Wikimedia Producer - 0:41:38 Lecture 8. Kafka Consumer Project Setup - 0:49:49 Lecture 9. Configure Kafka Consumer - 0:54:13 Lecture 10. Kafka Consumer Implementation - 0:57:44 Lecture 11 Configure MySQL Database - 1:04:10 Lecture 12. Save Wikimedia Data into MySQL Database - 1:11:18 #springboot #kafka #microservicios
This is an extension of enterprise restful API video series to enable distribution of log events in springboot microservices. Apache Kafka is used with Zookeeper to distribute application level logs on to different streams and systems for further processing. There are main two log processing workflows considered in this video such as; 1. Log eventing for analytics purposes - (E.g.:- with Elastic Cache, Logstash and Kibana) - Asynchronous log appender is used for the implementation of the design. 2. Log eventing for troubleshooting purposes - Synchronous logging on to Kafka cluster due to low throughput and criticality of these events. Technologies and Tools: - Java, SpringBoot - Apache Kafka - Kafka Streams - Zookeeper - slf4j with log4j2 - Yahoo Kafka Manager - AspectJ AoP - Spring Configuration Server - Maven GIT Repository URL : 1. Link to parent repo : 🤍 Blog : 🤍 Related Playlist for Other Videos: - 🤍
Scalability, fault tolerance, distributed log … these are terms which we hear more and more these days. Make them happen is quite a challenge sometimes, especially if our business need to be data intensive, agile and fast to market. One way to answer to this challenge is microservices. These are small services that communicate to each other to deliver business value. The key word here is communication. Without communication all the power of microservices falls apart. And communication is not a trivial fact when involves systems with multiple data systems that are talking to one another over many channels. Each of the channel requiring their own protocol and communication methods. This is where communication can become a bottleneck if not handled properly. One answer to this problem is Kafka, a distributed messaging system providing fast, highly scalable and redundant message exchange using a publish-subscribe model. And when we talk about fast we talk about one of the fastest messaging systems out there. This presentation will show you an alternative way of doing microservices with event-driven architecture through Kafka. László-Róbert Albert I'm an enthusiastic senior developer at ING Software Development Center. I have more than a decade of experience working for large, prestigious multinational organizations such as IBM, 1&1 and ING where I have had the chance to learn to handle performance in ways most people never thought of. I have an MsC in Computer Science from Babes-Bolyai University of Cluj-Napoca. Dan Balescu Dan Balescu Java enthusiast with more than 10 years experience in enterprise applications
This video explain you 1.What is Apache kafka 2. Basic Architecture of Kafka 3. Environment setup for kafka 4.How to publish plain text and object using Kafka GitHub: 🤍 Blogs: 🤍 Facebook group: 🤍 Like & subscribe
In this video I will be explaining callback topics and why you would want to use the callback topic pattern in your event-driven solutions especially in SOA and microservices. DanielTammadge.com #softwarearchitecture #eventdrivenarchitecture #danieltammadge #softwaredesign I use 🤍 for my diagrams & 🤍 where I use my pro subscription to find images for my content
Microsevices are great, Kafka is terrific! Micronaut makes integrating your application with Kafka both easy and simple! Learn from Graeme how to build Micronaut applications that talk to Kafka and use event based architecture to your advantage! In this video we cover the topics below: 0:00 - Intros 1:23 - What makes Kafka so popular? 4:37 - Is it complex to start with Micronaut and Kafka? 7:34 - Let's create a simple app with Micronaut & Kafka 11:37 - Creating Kafka producers in 10 lines of code. 14:08 - Creating a Kafka consumer app 18:55 - Trying the apps together 21:32 - Assigning partitions to clients 24:50 - Receiving 🤍KafkaKey in the consumers 27:15 - Customizing serialization/deserialization 29:00 - Sending objects as messages 35:36 - What about Kafka streams? 40:01 - Using batch producers/consumers 49:19 - Configuration options for offset strategies 59:43 - Relaying messages with 🤍SendTo 1:06:30 - Building Native Images of Micronaut Kafka apps 1:13:15 - Final words!
Scalability, fault tolerance, distributed log…these are terms which we here more and more these days. Make them happen is quite a challenge sometimes especially if our business need to be data intensive, agile and fast to market. One way to answer to this challenge is microservices. These are small services that communicate to each other to deliver business value. The key word here is _communication_. Without communication all the power of microservices falls apart. And communication is not a trivial fact when involves systems with multiple data systems that are talking to one another over many channels. Each of the channel requiring their own protocol and communication methods. This is where communication can become a bottleneck if not handled properly. One answer to this problem is Kafka, a distributed messaging system providing fast, highly scalable and redundant message exchange using a publish-subscribe model. And when we talk about fast we talk about one of the fastest messaging systems out there. This presentation will show you an alternative way of doing microservices with event-driven architecture through Kafka. Albert Laszlo Robert (ING) Senior Developer at ING Software Development Center. I have a decade of experience working for large, prestigious multinational organisations such as IBM, 1&1 and ING. I hold an MsC in Computer Science from Babes-Bolyai University of Cluj-Napoca. Co-speaker : Dan Balescu
Mastercard microservice interview questions for experienced professionals | Kafka interview This video contains Mastercard microservice interview questions for experienced professionals and also there are microservices scenario based questions.Interviwer also asked Kafka interview For mock interviews join the telegram channel:- 🤍 Java complete Reference book 🤍 - Kindly subscribe channel for all updates and Learn how to pass your Java Developer interview Mindtree Microservice interview :- 🤍 Hadoop Spark interview:-🤍 Morgan Stanley Java microservice interview:-🤍 HCL Angular 8 interview :-🤍 IBM Java interview:- 🤍 Fujitsu Java microservice interview :-🤍 Virtusa Polaris Spring boot interview:-🤍 AMdocs Core java interview:-🤍 Tcs java interview experience:-🤍 UBS microservice interview experience:-🤍 Atos syntel spring interview:-🤍 Core Java 2+ Interview Questions:- 🤍 Hexaware Java Interview:- 🤍 Cognizant Java Interview:-🤍 Tech Mahindra Java Interview:- 🤍 Accenture Java Interview:-🤍 Mphasis Interview :-🤍 Birlasoft Interview:- 🤍 HCL Interview Questions:- 🤍 Yash teachnology Interview:- 🤍 IBM Java developer hacker rank test:- 🤍 Wipro Java developer Interview :- 🤍 Capgemini Java developer Interview :- 🤍 Apache Wicket Interview Questions:- 🤍 #AGTech #Microserviceinterview
This video covers the differences between RabbitMQ & Kafka by using an Event Driven Architecture case study Join this channel by contributing to the community: 🤍 🔗 Case Study: 🤍 💥 Join TechPrimers Slack Community: 🤍 💥 Telegram: 🤍 💥 TechPrimer HindSight (Blog): 🤍 💥 Website: 🤍 💥 Slack Community: 🤍 💥 Twitter: 🤍 💥 Facebook: 🤍 💥 GitHub: 🤍 or 🤍 🎬Video Editing: FCP - 🔥 Disclaimer/Policy: The content/views/opinions posted here are solely mine and the code samples created by me are open sourced. You are free to use the code samples in Github after forking and you can modify it for your own use. All the videos posted here are copyrighted. You cannot re-distribute videos on this channel in other channels or platforms. #RabbitMQ #Kafka #TechPrimers
Let's add support for Apache Kafka! Apache Kafka is an event streaming platform that allows you to: * Publish and subscribe to streams of events, * Store streams of events for as long as you want, and * Process streams of events as they occur. In Go to interact with Kafka, we can use: * 🤍 OR * 🤍 I personally prefer using Confluent's package because they are the one behind the scenes providing commercial support for Kafka. Learning Kafka takes some time and even if you're familiar with the tools I highly encourage you to take advantage of managed services like Amazon Managed Streaming for Apache Kafka (Amazon MSK) it will simplify your live when working with Kafka clusters! - * Example code: 🤍 * Blog: 🤍 * Previous Episode: "Golang Microservices: Golang Microservices: Events and Background Jobs using RabbitMQ": 🤍 * Playlist "Building Microservices in Go/Golang": 🤍 * Playlist "Golang Tools and Packages": 🤍 * Playlist "Testing in Go": 🤍 00:00 Start 00:12 What is Apache Kafka? 01:30 How does Apache Kafka work? 03:46 Apache Kafka + Golang Demo starts 10:00 Conclusions - Who am I: Hello👋🏼! I'm Mario, a Hands-on Software Architect and Lead Backend Engineer with more than 16 years of professional experience building all kinds of software including on-premise Industrial Automation Systems, Linux Accessibility Desktop and Browser Components as well as Distributed Advertising Microservices. Every week I will share with you different topics I've learned while working for small startups and large companies including the processes I've followed over the years for successfully delivering complex enterprise systems from start to end. Subscribe if you like Software Development, Software Architecture and Systems Design! Keep it up. Don't give up! #golang #microservices #programming - Our affiliate links below Shop our favorite products → 🤍 Vlogging setup → 🤍 Get a 30 day FREE trial of Epidemic Sound → 🤍 Try Amazon Prime 30-Day FREE trial → 🤍 I love getting Cash Back and think you will too! Join for free and get $20 when you spend $20 → 🤍 Sign up to start using vidIQ to grow your YouTube channel for FREE → 🤍 - Our Vlog Channel 🤍
In this video, we will discuss what is Event-Driven Architecture and we will understand the basics of EDA from a complete architectural perspective. Content 0:00 - Introduction 0:33 - Classical Monolith Architecture 1:23 - Microservice Architectures 5:00 - Event-Driven Architecture 6:40 - Event-Driven Architecture designing 7:33 - Apache Kafka 8:20 - Events 9:19 - Understanding Events 10:58 - Event Streaming 11:36 - Producer/Consumer of Events 13:55 - Real Event-Driven Architecture app (.NET) #eventdriven #eventdrivenarchitecture #executeautomation #eda For more articles and videos, please follow ► [ExecuteAutomation] 🤍 ► [Twitter] 🤍executeauto ► [Subscribe] 🤍Execute Automation ► [Udemy] 🤍 New Series 2021 ############# ► [Microservice Development] 🤍 ► [XUnit with Selenium] 🤍 ► [Git Basics] 🤍 ► [SpringBoot for Testing] 🤍 Selenium and C# ► [C# for automation testing] 🤍 ► [Selenium with C#] 🤍 ► [BDD with Specflow] 🤍 ► [BDD with Selenium] 🤍 ► [Selenium .NET Core] 🤍 Selenium &Java ► [Cucumber with Selenium] 🤍 ► [Cucumber with Selenium] 🤍 ► [Cucumber 4 Upgrade] 🤍 ► [Selenium Grid] 🤍 ► [Selenium framework development] 🤍 ► [Selenium 4] 🤍 ► [Selenium Grid with Docker] 🤍 ► [Puppeteer] 🤍 ► [E2E with Cypress] 🤍 CI/CD with Microsoft Technologies * ► [Azure DevOps Service] 🤍 ► [Automated Build deployment] 🤍 ► [Build + Deploy + Test with Jenkins] 🤍 Docker & Kubernetes ► [Understanding ABC of Docker] 🤍 ► [Understanding Docker for Windows] 🤍 ► [Selenium Grid with Docker] 🤍 ► [Kubernetes for Testers] 🤍 Mobile Testing ► [Understanding Appium] 🤍 ► [Appium with C#] 🤍 ► [Appium with Java] 🤍 ► [Appium with C# (Advanced)] 🤍 ► [Appium Framework development] 🤍 ► [Mobile Automation testing with Xamarin.UITesting] 🤍 ► [Android automation with Robotium] 🤍 ► [Flutter app automation with Flutter Driver] 🤍 ► [TestProject] 🤍 ► [Katalon Studio] 🤍 ► [WinAppDriver] 🤍 ► [Angular Automation] 🤍 ► [EAWeekly] 🤍
🤍 | Microservice applications often change communication protocols between services from request-response to event streaming. Apache Kafka® is a great choice for addressing the challenges of building high-load applications at scale. This session will provide an introduction on how to use Kotlin and Ktor to build an application that shares geographical coordinates among clients. Anton will give an introduction to Ktor, the Kotlin framework for building connected applications. After that, Viktor will demonstrate how event streaming works with Kafka, and he will identify the other features the platform provides for scaling the solution. All of these pieces of the applications will be weaved together through a series of hands-on exercises to create an event-driven application. You will be able to run everything on your own machine. The workshop exercises will use Kotlin with Ktor, but the examples will be explained from a Java developer's point of view. Everyone is welcome! Viktor Gamov is a developer advocate at Confluent, the company that makes an event streaming platform based on Apache Kafka. Back in his consultancy days, Viktor developed comprehensive expertise in building enterprise application architectures using open source technologies. He enjoys helping architects and developers design and develop low-latency, scalable, and highly available distributed systems. He is a professional conference speaker on distributed systems, streaming data, JVM, and DevOps, and he regularly speaks at events like JavaOne, Devoxx, OSCON, and QCon. He co-authored O’Reilly’s Enterprise Web Development. Anton Arhipov is a developer advocate on the Kotlin team at JetBrains. His professional interests include programming languages and developer tooling. Anton has been a Java Champion since 2014, and he is also a co-organizer of DevClub, a local developer community in Tallinn, Estonia. VIDEO LINKS ► Workshop materials: 🤍 ► Use the promo code CLOUD300 to receive an additional $300 of free Confluent Cloud usage: 🤍 TIMESTAMPS 0:00 - Stream starts 0:36 - Intro 0:53 - Welcome 1:30 - Introducing Anton Arhipov, developer advocate at JetBains 11:48 - Today's application explained 15:37 - Ktor explained 33:17 - Unit testing Ktor applications 37:20 - Important dependencies 41:01 - Extending Ktor: features 46:35 - Ktor and Kafka configuration 49:14 - Connect Ktor application to Confluent Cloud 1:00:45 - Kotlin data classes and JSON Schema 1:04:46 - Write HTML with the Kotlin DSL 1:32:00 - Kafka Streams with Kotlin and Ktor 1:40:35 - Ride-sharing app demo 1:57:20 - Season 1 is a wrap! CONNECT Subscribe: 🤍 Site: 🤍 GitHub: 🤍 Facebook: 🤍 Twitter: 🤍 LinkedIn: 🤍 Instagram: 🤍 ABOUT CONFLUENT Confluent, founded by the creators of Apache Kafka®, enables organizations to harness business value of live data. The Confluent Platform manages the barrage of stream data and makes it available throughout an organization. It provides various industries, from retail, logistics and manufacturing, to financial services and online social networking, a scalable, unified, real-time data pipeline that enables applications ranging from large volume data integration to big data analysis with Hadoop to real-time stream processing. To learn more, please visit 🤍 #apachekafka #microservices #kotlin
Faala dev! Nesse Code Challenge eu e o Pellizzeti, desenvolvedor e DevOps aqui na Rocketseat, unimos o hype em cima de micro-serviços com nossa vontade de aprender mais sobre Apache Kafka e micro-serviços no Node.js. Desenvolvemos uma aplicação do zero que utiliza o Kafka para transmitir e receber mensagens de um micro-serviço também com Node.js. Vaaleu! 💜 Repositório: 🤍 - Acompanhe a Rocketseat nas redes sociais: Site: 🤍 Twitter: 🤍 Facebook: 🤍 Instagram: 🤍 Comunidade: 🤍 Blog: 🤍
Learn more about Kafka: 🤍 Check out IBM Event Streams on IBM Cloud: 🤍 Earn a badge with FREE interactive, browser-based Kubernetes labs: 🤍 Users of modern-day cloud applications expect a real-time experience but how is this achieved? In this lightboard video, Whitney Lee with IBM Cloud explains how Apache Kafka, an open-source distributed streaming platform, enables developers to make applications that utilize event streams to make high-performance applications. Get started on IBM Cloud at no cost: 🤍 Subscribe to see more videos like this in the future → 🤍 #Kafka #EventStreams #IBMCloud
Unabhängige Microservices können mit Eventsourcing über einen Bus lose gekoppelt werden, ohne ihre Eigenständigkeit zu verlieren. Alle für den Betrieb notwendigen Daten speichert sich jeder Microservice selbst ab. Ereignisse, die den Zustand, sprich die Daten verändern, werden in Form von Nachrichten über den Bus verbreitet. Der Bus ist nicht nur Broker, der die Nachrichten verteilt. Er hat auch die Aufgabe, Nachrichten dauerhaft zu speichern und als Quelle für die Wiederherstellung ( Recovery) der Microservices zu dienen. In diesem Tutorial erfährst Du, wie man eine auf Eventsourcing basierende Microservices Architektur mit Java und Apache Kafka aufbaut. Der dafür notwendige Code beschränkt sich dank Spring Boot auf wenige Kilobyte. Dieser erste Teil ist eine Einführung, die einen Überblick der Architektur vermittelt. In kommenden Folgen wird in einer Demo das Zusammenspiel der Microservices verdeutlicht. Danach wird die Funktionsweise und der Code genau beschrieben. Quellcode zum Beispiel: 🤍
Learn more: 🤍 | Microservices architectures enable organizations to evolve their systems away from the slow and unresponsive shared-state architectures of the past. Confluent provides a streaming platform for incorporating data in flight into a lightweight, efficient, and responsive microservices architecture. Confluent is the backbone for event driven services. CONNECT Subscribe: 🤍 Site: 🤍 GitHub: 🤍 Facebook: 🤍 Twitter: 🤍 LinkedIn: 🤍 Instagram: 🤍 ABOUT CONFLUENT Confluent is pioneering a fundamentally new category of data infrastructure focused on data in motion. Confluent’s cloud-native offering is the foundational platform for data in motion – designed to be the intelligent connective tissue enabling real-time data, from multiple sources, to constantly stream across the organization. With Confluent, organizations can meet the new business imperative of delivering rich, digital front-end customer experiences and transitioning to sophisticated, real-time, software-driven backend operations. To learn more, please visit 🤍confluent.io. #confluent #apachekafka #kafka
Welcome to Spring Boot Kafka Event-Driven Microservices Series. In this lecture, we will Configure Kafka Consumer in StockService Microservice. Event-driven architecture (EDA) is a software design pattern in which decoupled applications can asynchronously publish and subscribe to events via an event broker/message broker. Complete playlist: 🤍 #microservices #springboot #kafka
Express Scripts, a Cigna corporation company, is reimagining its data and software architecture to bring best-in-class user experience and provide the foundation of next-generation applications. The challenge lies in the ability to efficiently and cost-effectively access the ever-increasing amount of data. This talk will showcase how Pivotal Platform and Apache Kafka are leveraged within Express Scripts’ transformation from mainframe to a microservices-based ecosystem, ensuring data integrity between two worlds. You'll learn: - how Express Scripts is building cloud-based microservices when the system of record is a relational database residing on an on-premise mainframe - how Change Data Capture (CDC) enables event-driven architecture - how Spring framework is used to bind microservices to Kafka - how Express Scripts uses Pivotal Platform to build and scale microservices - how to use Kafka streams and Pivotal Cloud Cache (PCC) to offload the database as part of a data pipeline Learn more: 🤍 Speakers: Dmitry Milman, Director, Platform Software Engineering, Express Scripts; Ankur Kaneria Principal Architect, Express Scripts / Cigna Filmed at SpringOne Platform 2019 Slides: 🤍
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Devoxx Ukraine 2020 becomes a FREE ONLINE event 6-7th of November Kyiv, Ukraine Registration: 🤍 Today most of the complex backend systems choose microservices. There are many ways of building microservices with a huge degree of freedom. Different languages, framework, and tools exist - take the best which suits the purpose! But there are a few aspects where freedom of choices is disadvantageous. One and the main one is the way how microservices are talking to each other. One of the most popular communication instruments of microservices today becomes Kafka. It’s an extremely powerful instrument in the microservices toolchain which solves a high variety of problems. This talk presents the problems in microservices architecture where Kafka is a great fit, includes real-life examples collected at eBay Classifieds Group companies where Kafka is actively used while sharing experiences of many of my colleagues. On the dark side, introducing Kafka into existing architecture is not for free. Therefore, in addition, this talk addresses challenges and potential pitfalls of introducing Kafka in the microservices world. #devoxxua #java #devoxx