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In this video we will learn about installing Kafka manager. we will clone the repository and then we will compile the repository. - 🤍 - ./sbt clean dist - Change the configuration in application.conf - cmak.zkhosts=“zookeeper-host:2181" - Start the server using bin/cmak -Dconfig.file=conf/application.conf -Dhttp.port=8080
Learn what Kafka Manager is! Learn how to manage Clusters using Kafka Manager! If you want to learn more: 🤍 Get the Apache Kafka Series - Kafka Cluster Setup & Administration 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 - 🤍
We will install Kafka Manager using docker compose. In this video we will learn to install three components using docker compose Kafka Zookeeper Kafka Manager Post Link : 🤍
How to install and use the CMAK (Cluster Manager for Apache Kafka) or Kafka Manager? | Install Kafka manager | Kafka for beginners | Cluster Management using Kafka Manager Tutorial | Apache Kafka Tutorial | What is Apache Kafka? | Kafka Tutorial for Beginners Click the below link to download the Java Source code and PPT: 🤍 Click the below GitHub link to download the Java Source code and PPT: 🤍 Click the below Bitbucket link to download the Java Source code and PPT: 🤍 You can find each topic playlist here - 🤍 #cmak #kafkamanager #apachekafka #kafka #jms #ApacheKafkaTutorial #KafkaTutorial
In this video we are going to learn Kafka in 2 hours. we will install kafak, kafka manger. We will write producer and consumer in python. we will also learn about kafka topics, Kafka replication, zookeeper etc #kafka #kafkatutorial #learnkafka #kafkaforbeginners
📽️ Abonnez-vous : 🤍 🖥️ Devenir membre VIP : 🤍 Kafka est l'un des broker ou bus de message les plus connus et tendance du moment. Ses capacités de scalibilité via un système de partitionnement et sa réplication, en font l'un des plus robuste du marché. Kafka est souvent utilisé dans des infrastructures des processing de données et également avec de l'event driven ou event streaming. Retrouvez les slides et codes qui ont servi aux tutoriels #kafka ici : 🤍 Sommaire de plus de 140 vidéos : - sur github : 🤍 - sur gitlab : 🤍 ➡️ ➡️ Vous voulez m'encourager likez la vidéo, commentez-là et abonnez-vous ! 😃 Retrouvez plus de tutorials en français et formation pour devenir #devops : ### Devops/ CI-CD / Cloud Pipeline s01 : 🤍 AWS : 🤍 ### Conteneurisation - docker engine : 🤍 - docker compose : 🤍 - docker swarm : 🤍 - kubernetes : 🤍 - vagrant k8s : 🤍 - LXC/LXD : 🤍 ### Automatisation - ansible : 🤍 - ansible ex. haproxy : 🤍 - Jenkins : 🤍 - Git : 🤍 - Gitlab : 🤍 - Jmeter : 🤍 ### Infrastructure - consul : 🤍 - Infra Mesh : 🤍 ### LB et reverse-proxy - HAProxy : 🤍 - Linkerd : 🤍 ### SQL/NoSQL - ElasticSearch : 🤍 - PostgreSQL : 🤍 ### Sécurité - IPTables : 🤍 - Netcat : 🤍 - TCPDump : 🤍 ### Scripting - Scripting : 🤍 - Flask : 🤍 - Python : 🤍 ### Raspberry - faire son infra : 🤍 - k8s (pikub) : 🤍
This is a recording of a Calisti lab on the topic of Kafka.
A quick introduction to how Apache Kafka works and differs from other messaging systems using an example application. In this video I explain partitioning, consumer offsets, replication and many other concepts found in Kafka. Please support me through my Udemy courses: Pass your coding interview in Java : 🤍 Python: 🤍 Ruby: 🤍 JavaScript: 🤍 Learn Dynamic Programming in, Java: 🤍 Python: 🤍 Ruby: 🤍 Multithreading in, Go Lang: 🤍 Python: 🤍 Java: 🤍 Book on Kafka (Manning publications): 🤍 Blog: 🤍
Fala Pessoa, tudo bem com voces? Nesse vídeo voce vai aprender a criar mensagens no kafka de maneira fácil, utilizando o Kafka manager. Nele podemos salvar vários modelos de mensagens e com isso facilitar os testes funcionais de diversos micro serviços. Fique a vontade para contribuir com o projeto. 🤍 E Veja também o Curso de Spring Boot. 🤍
This demo shows the process of deploying distributed streaming engine, Arenadata Streming (based on Kafka), in Google Cloud Platform using Arenadata Cluster Manager. Arenadata Cluster Manager (ADCM) simplifies deploying and management of data services on premise, in private or public clouds. By splitting data landscape on two independent management layers – infrastructure layer and application layer – your platform becomes flexible, predictable and repeatable. ADCM is a modular system – you can add specific modules to support new applications, containers and cloud providers. You can develop your own modules to support your specific applications and proprietary systems. ADCM comes with open powerful REST API – you can easily integrate ADCM with your infrastructure. Arenadata Streaming (ADS) is an efficient, scalable, fault-tolerant solution for streaming data processing in real-time, adapted for corporate use and built on the basis of Apache Kafka and Apache Nifi – open source projects. One of the features of the implementation of the platform is the use of technology, similar to the transaction logs used in database management systems. Learn more at 🤍
The upcoming Streams Messaging Manager(SMM) product from Hortonworks has drawn viral interest for those who have seen the concepts. SMM visualizes the intricate details of how Apache Kafka functions in real time while simultaneously surfacing every nuance of tuning, optimizing, and measuring input and output. SMM will assist users of every level to quickly understand and operate Kafka. While providing the much-needed transparency that sophisticated and experienced users need to avoid all the pitfalls of running a Kafka cluster. In this talk, we will focus on the process we used to incept the product. We will detail all of the thought processes that go into creating products that delight users. We will provide tools for teams to use to produce similar results for themselves. And finally, we will share some of the insights and wisdom we learned from the handful of Kafka subject matter experts we interviewed. Speakers GEORGE VETTICADEN VP of Product Management Hortonworks HOUSHANG LIVIAN Product Design Manager Hortonworks
This video is all about installing the Apache Kafka on your Windows PC. This video includes step-by-step guide to install Kafka including recommended configurations. Prerequisite: You should have Java (JDK) installed on your windows machine. Apache Kafka official website: 🤍 Required Commands: .\bin\windows\zookeeper-server-start.bat .\config\zookeeper.properties .\bin\windows\kafka-server-start.bat .\config\server.properties kafka-topics.bat create bootstrap-server localhost:9092 replication-factor 1 partition 1 topic test kafka-console-producer.bat broker-list localhost:9092 topic test - Sample Data: {"Name: "John", "Age":"31", "Gender":"Male"} {"Name: "Emma", "Age":"27", "Gender":"Female"} {"Name: "Ronald", "Age":"17", "Gender":"Male"} - kafka-console-consumer.bat topic test bootstrap-server localhost:9092 from-beginning .\bin\windows\zookeeper-server-stop.bat .\config\zookeeper.properties .\bin\windows\kafka-server-stop.bat .\config\server.properties Want to know more about Big Data? then checkout the full course dedicated to Big Data fundamentals: 🤍 - Also check out similar informative videos in the field of cloud computing: What is Big Data: 🤍 How Cloud Computing changed the world: 🤍 What is Cloud? 🤍 Top 10 facts about Cloud Computing that will blow your mind! 🤍 Audience This tutorial is made for professionals who are willing to learn the basics of Big Data Analytics using Hadoop Ecosystem and become a Hadoop Developer. Software Professionals, Analytics Professionals, and ETL developers are the key beneficiaries of this course. Prerequisites Before you start proceeding with this course, I am assuming that you have some basic knowledge to Core Java, database concepts, and any of the Linux operating system flavors. - Check out our full course topic wise playlist on some of the most popular technologies: SQL Full Course Playlist- 🤍 PYTHON Full Course Playlist- 🤍 Data Warehouse Playlist- 🤍 Unix Shell Scripting Full Course Playlist- 🤍 Don't forget to like and follow us on our social media accounts which are linked below. Facebook- 🤍 Instagram- 🤍 Twitter- 🤍 Tumblr- ampcode.tumblr.com - Channel Description- AmpCode provides you e-learning platform with a mission of making education accessible to every student. AmpCode will provide you tutorials, full courses of some of the best technologies in the world today.By subscribing to this channel, you will never miss out on high quality videos on trending topics in the areas of Big Data & Hadoop, DevOps, Machine Learning, Artificial Intelligence, Angular, Data Science, Apache Spark, Python, Selenium, Tableau, AWS , Digital Marketing and many more. #bigdata #datascience #technology #dataanalytics #datascientist #kafka #apachekafka #ampcode
Kpow for Apache Kafka is an enterprise-grade, web UI for managing, monitoring, and securing Kafka. Built on our learnings from a decade of shipping systems with Kafka, we believe Kpow is the most powerful and intuitive Kafka Web UI available to engineers today. Designed for enterprise integration from our first commit in 2018, Kpow runs securely in your network with zero data egress and a full suite of user authentication and authorization features including SAML, LDAP, OpenID, OAuth2, Okta, Keycloak, RBAC, Multi-Tenancy, Data-Masking, Audit Logs, and more. Five years, 10k commits, and more than 800k Docker pulls later, Kpow now has tens of thousands of users in 100+ countries. Our focus on quality tooling sees Kpow stacked with features and our commitment to performance means that one instance of Kpow can manage up to a dozen Kafka clusters and associated resources.
Kafka Commited Offset vs Current Offset vs Earliest Offset vs Latest Offset Differences | Kafka Interview Questions #Kafka #ApacheKafka consumer_offsets topic in kafka are kafka offsets sequential check kafka offsets cloudera kafka offsets.retention.minutes commit of offsets timed out (org.apache.kafka.connect.runtime.workersinktask) committing kafka offsets confluent kafka offsets confluent kafka offsets.retention.minutes consume kafka offsets couldn't find leader offsets for set kafka delete kafka offsets error in attempt 1 getting kafka offsets failed to commit offsets (org.apache.kafka.connect.runtime.sourcetask offset committer) flink kafka offsets get kafka offsets how do kafka offsets work how does a consumer commit offsets in kafka how does kafka manage offsets how does kafka offset work how does kafka store offsets for each topic how to commit offsets in kafka how to reset kafka offsets in kafka offset value of a message are stored in java.nio.file.nosuchfileexception /tmp/kafka-logs/consumer_offsets kafka consumer_offsets delete kafka consumer_offsets deserializer kafka consumer_offsets format kafka consumer_offsets key kafka consumer_offsets missing kafka consumer_offsets not found kafka consumer_offsets partitions kafka consumer_offsets replication factor kafka consumer_offsets retention kafka consumer_offsets too big kafka consumer_offsets too large kafka auto.offset.reset default value kafka auto.offset.reset earliest and latest kafka auto.offset.reset latest kafka auto_offset_reset_config kafka auto_offset_reset_config earliest and latest kafka beginning offsets kafka broker offset kafka broker offset out of range kafka change offsets.retention.minutes kafka check offset of consumer group kafka check offset of topic kafka commit offset java kafka commit offset out of order kafka connect commit of offsets timed out kafka consumer beginning offsets kafka consumer group offsets kafka consumer offset example kafka consumer offset handling kafka consumer offset values kafka consumer offsets are stored in kafka consumer offsets java kafka consumer with offsets kafka current offset unknown kafka default offset retention kafka delete consumer_offsets topic kafka docker offsets.topic.replication.factor kafka duplicate offset kafka endoffsets kafka error for partition consumer_offsets kafka error offset commit failed on partition kafka event offset kafka expired before successfully committing offsets kafka external offset storage kafka failed to clean up log for consumer_offsets kafka failed to commit offsets kafka found deletable segments with base offsets kafka get all offsets kafka get consumer offsets kafka get current offsets kafka get latest offsets kafka get offset by timestamp kafka get offset for consumer group kafka get offset for consumer group java kafka get offset java kafka get offset of message kafka get offset of topic kafka get offset shell kafka get partition offset kafka get_watermark_offsets kafka header offset kafka high water offset kafka jmx offset kafka kafka_offsets_topic_replication_factor kafka list consumer group offsets kafka list offsets kafka list partitions and offsets kafka list topic offsets kafka losing offsets kafka manager summed recent offsets kafka missing offsets kafka move offset kafka offset and timestamp kafka offset api kafka offset auto commit kafka offset auto reset kafka offset back kafka offset backup kafka offset beginning kafka offset by kafka offset by partition kafka offset by time kafka offset by timestamp kafka offset checker kafka offset command kafka offset commit (assign) failed kafka offset commit failed kafka offset commit failed on partition kafka offset commit timeout kafka offset commit with offsets failed kafka offset consumer kafka offset consumer group 🤍 kafka interview kafka interview questions kafka interview questions and answers kafka interview questions for experienced kafka interview questions github kafka interview questions edureka kafka interview questions medium kafka interview questions java kafka interview questions for experience kafka admin interview questions kafka admin interview question and answer kafka api interview questions kafka basic interview questions kafka interview questions baeldung kafka scenario based interview questions kafka with spring boot interview questions kafka connect interview questions kafka confluent interview questions kafka configuration interview questions
Stateful workloads have always been a challenge in the Kubernetes ecosystem. Kafka one of the most used event-driven systems is becoming the backbone system and with most of the infrastructure workloads now on Kubernetes, we need a robust and native way to communicate with Kafka inside Kubernetes. In this talk, I would like to introduce a Kafka Operator for Kubernetes which allows ease of deployment and management of the Kafka workloads.
Link to this course(special discount) 🤍 Apache Kafka Series - Kafka Monitoring & Operations - learn Apache Kafka What you will learn in this course ? What you'll learnSetup a Multi Broker Kafka Cluster in no-time in AWS (using CloudFormation)Setup Administration Tools such as Kafka Manager, ZooNavigator, LinkedIn's Kafka MonitorSetup Monitoring using Grafana and PrometheusLearn how to perform a safe and automated Roll Restart of Kafka BrokersUpdate Brokers Configurations in a safe wayRebalance Partitions in a Kafka ClusterIncrease and Decrease the Replication Factor of TopicsAdd a Broker to a Kafka ClusterService and Replace a Broker in a Kafka ClusterRemove a Broker in a Kafka ClusterInstall Command Line Interface (CLI) tools to automate workflowsUpgrade a Kafka Cluster with no downtimeShow moreShow less One of the best courses in the Apache Kafka Series!Learn Kafka Administration, Kafka Monitoring, Kafka Operations and Kafka Upgrades in this 5+ hours course. Join hundreds of knowledge savvy students into learning some of the most important knowledges that any Kafka administrator should know and master. This course is important for the following reasons:Administration for Apache Kafka Setup UI tools such as Kafka Manager, ZooNavigator and Kafka Monitor to get a full view of your cluster Understand basic operations you can perform with these toolsMonitoring for Apache Kafka A Kafka that is not monitored is a ticking time-bomb. Setup proper monitoring for Kafka & Zookeeper Store your metrics in Prometheus and visualise in GrafanaOperations for Apache Kafka Perform the most common and difficult operations demanded in your Apache Kafka Cluster Roll Restart your brokers in only one command Update Kafka Configurations safely with no downtime Rebalance Partitions and Change the Replication Factor of your topics Add, Replace and Remove Brokers. Upgrades for Apache Kafka Understand the subtlety of upgrading a Kafka Cluster Step by step explanation on upgrading a Cluster with no DowntimePRE-REQUISITES - THIS IS AN ADVANCED COURSE Good Understanding of Kafka & Kafka Setup Basic Understanding of AWS Cloud. Knowledge of how to SSH into a Server Good Understanding of Linux & computing overall Strong Ability to use the Command Line -InstructorsStephane Maarek is the instructor of this course. He is an Apache Kafka Expert, and the author of the highly-rated Apache Kafka Series on Udemy, having taught already to 40000+ students and received 12000+ reviews. He shares all his Apache Kafka knowledge on the platform, taking the time to explain every concept and provide students with both theoretical and practical dimensions. Hands On Based CourseNote: This course is advanced and little time will be spent on basics. It will incur cost in AWS This course is the first and only available Kafka Monitoring and Operations on the web. Get it now to become an Apache Kafka expert!Section outline:Course Introduction: Let's learn why we need Monitoring & Operations in Apache KafkaKafka Quick Setup in AWS: Setup Kafka using AWS CloudFormation. No Knowledge of CloudFormation is requiredKafka Administration Setup: Setup Basic Admin and Monitoring Tools on our ClusterKafka Monitoring Setup: Grafana + Prometheus: Setup Kafka & Zookeeper Monitoring using Prometheus and GrafanaKafka Operations: Learn the most common and difficult Kafka operations Kafka Cluster Upgrade: Learn the steps to properly upgrade a Kafka Cluster with no downtimeThis Course Also Comes With:✔ Lifetime Access to All Apache Kafka course Future Updates✔ A responsive instructor in the Q&A Section✔ Links to interesting articles, and lots of good code to base your next applications onto✔ Udemy Certificate of Completion Ready for Download✔ A 30 Day ""No Questions Asked"" Money Back Guarantee!Learn Kafka Monitoring & Operations Now!Kafka Monitoring and Operations are crucial knowledge for any Kafka Administrator. Get all the necessary knowledge with this Apache Kafka Series course! The job market will definitely need people like you""Take This Course"" risk free and learn the Kafka Monitoring & Operations now! this is the best Apache Kafka course. you can download and watch for free after enroll.
Cloudera Streams Messaging Manager (SMM) is an operations monitoring/management tool that provides end-to-end visibility into how data moves across Kafka clusters between producers, brokers, topics, and consumers. Many teams such as Kafka Operations, DevOps, and Applications Developers can use SMM to get visibility of the data movement within Kafka by quickly identifying bottlenecks, throughputs, data patterns, and traffic flows. Security and Governance team can gain complete data lineage of data flows into and out of Kafka topics. To learn more click here: 🤍
Apache Kafka - популярный распределенный отказоустойчивый брокер сообщений, используемый в высоконагруженных системах и BigData проектах. На видео мой рассказ про основы Kafka: что, зачем, как и где.
Subscribe to our channel: 🤍 As the founder and director of Caribbean Capital Group LLC, David Kafka oversees acquisitions, investment strategies, and business development. Prior to living and investing in Belize, David was the founder and manager of Supergreen Inc., a successful landscaping company based in Charleston, South Carolina. In addition, he spent nearly 12 years serving his community as a Firefighter/Engineer for the Mount Pleasant, SC Fire Department. David has resided in Belize for over 10 years with his family and is the Broker/Owner for RE/MAX 1st Choice real estate offices in Placencia and Hopkins. Along with his team, David shares his expertise in coastal, mountain, tropical jungle, riverfront, and agricultural properties as one of the top real estate brokerages in Belize serving the Placencia, Hopkins, Punta Gorda, Corozal, and Belmopan areas. To continue with his passion for animals and volunteerism, David is a board member of the Placencia Humane Society (PHS) where he has served nearly five years as a Chairman. He is also a volunteer with the Placencia Volunteer Fire Department and a “Fire Board” member which builds new fire stations and soon the first trauma center in Placencia Village. Tune in as David shares his life's story on relocating to Belize in 2010 from Charleston, South Carolina, and his journey to becoming a business owner and Belize Nationalist. To connect with David, schedule a call here: 🤍 To learn more about investments in Belize, get started here: 🤍 For all other inquires, email info🤍caribbeancapitalgroup.com.
Apache Kafka is a distributed event streaming platform used to handle large amounts of realtime data. Learn the basics of Kafka in this quickstart tutorial. #programming #datascience #100SecondsOfCode 💬 Chat with Me on Discord 🤍 🔗 Resources - Kafka Homepage 🤍 - Kafka Github 🤍 - RabbitMQ in 100 Seconds 🤍 🔥 Get More Content - Upgrade to PRO Upgrade at 🤍 Use code YT25 for 25% off PRO access 🎨 My Editor Settings - Atom One Dark - vscode-icons - Fira Code Font 🔖 Topics Covered - What is Apache Kafka? - Who created Apache Kafka? - What is Kafka used for? - How do large apps handle streaming data? - Apache Kafka basic examples
Amazon MSK is a fully managed service that makes it easy for you to build and run applications that use Apache Kafka to process streaming data. Apache Kafka is an open-source platform for building real-time streaming data pipelines and applications. With Amazon MSK, you can use native Apache Kafka APIs to populate data lakes, stream changes to and from databases, and power machine learning and analytics applications. Apache Kafka clusters are challenging to setup, scale, and manage in production. When you run Apache Kafka on your own, you need to provision servers, configure Apache Kafka manually, replace servers when they fail, orchestrate server patches and upgrades, architect the cluster for high availability, ensure data is durably stored and secured, setup monitoring and alarms, and carefully plan scaling events to support load changes. Amazon MSK makes it easy for you to build and run production applications on Apache Kafka without needing Apache Kafka infrastructure management expertise. That means you spend less time managing infrastructure and more time building applications. With a few clicks in the Amazon MSK console you can create highly available Apache Kafka clusters with settings and configuration based on Apache Kafka’s deployment best practices. Amazon MSK automatically provisions and runs your Apache Kafka clusters. Amazon MSK continuously monitors cluster health and automatically replaces unhealthy nodes with no downtime to your application. In addition, Amazon MSK secures your Apache Kafka cluster by encrypting data at rest. Benefits Fully compatible Amazon MSK runs and manages Apache Kafka for you. This makes it easy for you to migrate and run your existing Apache Kafka applications on AWS without changes to the application code. By using Amazon MSK, you maintain open source compatibility and can continue to use familiar custom and community-built tools such as MirrorMaker, Apache Flink, and Prometheus. Fully managed Amazon MSK lets you focus on creating your streaming applications without having to worry about the operational overhead of managing your Apache Kafka environment. Amazon MSK manages the provisioning, configuration, and maintenance of Apache Kafka clusters and Apache ZooKeeper nodes for you. Amazon MSK also shows key Apache Kafka performance metrics in the AWS console. Elastic stream processing Apache Flink is a powerful, open-source stream processing framework for stateful computations of streaming data. You can run fully managed Apache Flink applications written in SQL, Java, or Scala that elastically scale to process data streams within Amazon MSK. Highly available Amazon MSK creates an Apache Kafka cluster and offers multi-AZ replication within an AWS Region. Amazon MSK continuously monitors cluster health, and if a component fails, Amazon MSK will automatically replace it. Highly secure Amazon MSK provides multiple levels of security for your Apache Kafka clusters including VPC network isolation, AWS IAM for control-plane API authorization, encryption at rest, TLS encryption in-transit, TLS based certificate authentication, SASL/SCRAM authentication secured by AWS Secrets Manager, and supports Apache Kafka Access Control Lists (ACLs) for data-plane authorization.
Let us discover the distributed streaming platform Apache Kafka together. Hi my name is Ian Hillman Table of Contents: 00:00 - Introduction 00:03 - What is Apache Kafka? 00:17 - Is Kafka written in Java or Scala? 00:21 - Is Kafka associated to Big DATA? 00:26 - What is a Kafka Brokers or node? 00:47 - How does Kafka use messaging? 00:58 - What is a topic in Kafka? 01:15 - How about the Zookeeper? 01:32 - Kafka and event storing? 01:35 - Is Kafka open-source? 01:44 - What is the aim of the Kafka project? 01:54 - Requirement to run Kafka? 02:06 - How is Zookeeper used? 02:27 - Why is Apache Kafka so popular? 02:58 - Is working with Kafka easy? 03:25 - What is Offset Explorer? 03:48 - IBM MQ vs Kafka? 04:28 - Prerequisites for Kafka training? 04:54 - Kafka being open source is it Free? 05:07 - What is Kafka in Simple terms? 05:14 - Which APIs to manage Kafka platform? 05:40 - What does Kafka offer? 05:56 - What are Bootstrap Servers? 06:14 - What is Kafka Broker? 06:37 - How are host port pairs used in Kafka? 06:51 - Kafka uses high volume of real time Data 07:01 - Who originally Built Kafka? 07:05 - Where is Kafka Used? 07:11 - How much does Kafka cost? 07:16 - Any new approaches to usage? 07:31 - What does the approach require? 07:42 - What is Hadoop Zookeeper? 08:02 - What is kafka used for? 08:13 - Closing Remarks 08:43 - Thank you.
How to recycle Control-M Kafka and all the Microservices
In this webinar, we’ll discuss how you can now easily integrate Apache Kafka within InterSystems IRIS data platform, including via interoperability productions and programmatically via API calls, as both a producer as well as a consumer of Apache Kafka messages. Presenter: 🗣 Kinshuk Rakshith, InterSystems Sales Engineer 🗣 Bob Kuszewski, InterSystems Product Manager Discuss this webinar here: 🤍 Follow us: — Twitter: 🤍 — Facebook: 🤍 — LinkedIn: 🤍
Надежный хостинг FirstVDS! Переходи по ссылке и получай скидку 25% на первый месяц на любой тариф 🤍 Я последнее время занимаюсь поддержкой Кафки. В этом видео ты узнаешь о Apach Kafka: Что такой kafka? Что такое kafka topic и зачем этот топик нужен? Что такое partition topic kafka и сколько партиций тебе нужно? Что такое consumer и producer. Чем они отличаются и чем схожи? Верхнеуровнево разберем как отправляется и считываются сообщения в kafka? Apache Kafka: Зачем нужна, что это? 🤍 REST API 🤍 Монолит VS Микросервисы 🤍 Модули в Gitlab CI 🤍 ХОТИТЕ ПОМОЧЬ РАЗВИТИЮ КАНАЛА? ★ Станьте спонсором канала 🤍 ★ Boosty (подписка донаты) 🤍 ★ Яндекс.Деньги: 🤍 ★ 🤍 ★ 🤍 КОНТАКТЫ: ✦ Канал в TELEGRAM: 🤍 (worlditech) ✦ DevOps/SRE чат 🤍 ✦ Чат для Сисадминов и эникеев 🤍 ✦ Linux чат в TELEGRAM: 🤍
Apache Kafka® User Group Portugal is an open community dedicated to learning and sharing 🤍 🔔 Subscribe if you do not want to miss any, comment and like your preferred talks to let us know what to organize more! Presentation of open-source project akhq.io 🤍 Managing Data in your cluster can be challenging. How do you guarantee the various requirements from the various stakeholders? How do administer and access your data? How do you enable developers to interact fast with the data? We start with a presentation from João Luz sharing his experience on interacting with data inside a Kafka cluster in a variety of contexts and clients. It is then followed by a Q & A and exchange session. #kafka #community #kafkaui 00:45 Why, what, for whom, how 07:07 Hands-on Demo of akhq.io 12:20 Using ACLs for Access Management 19:30 Roadmap 📜 TALK What are the requirements, solutions and challenges in managing, accessing our data inside Kafka? This is what we aim to share in this talk. One of the solutions that will be shared is akhq.io - formerly KafkaHQ - where we could have the founder Ludovic Dehon with us! It will be the opportunity to exchange between our practices, possible help, sharing and roadmap inputs. Apache Kafka® User Group Portugal - AKUG.PT - aims to be By and For Apache Kafka® users, an open community to share knowledge, best-practices, use-cases and experiences in streaming architecture and its ecosystem, 📢 SPEAKER - João Luz João Luz is the Head of Software Engineering at Polarising. Passionate in thinking about solutions to reduce costs and simplify IT activities. Quoting “Our mission in Polarising is to help connect everyone (even Santa Claus). We love to simplify integration problems.”. He is recognized for his competencies in Software Engineering, Agile Methodologies and Enterprise Java. 📢 SPEAKER - Paulo Marques Paulo is a Senior Software Engineering at Polarising. He enjoys working on complex problem solving within a modern ecosystem. Java evangelist :)
In this video, I will walk you through the steps to install Apache Kafka using Docker and Docker compose in any operating system. #JavaTechie #Docker #Kafka Spring boot microservice Premium course lunched with 70% off 🚀 🚀 Hurry-up & Register today itself! COURSE LINK : 🤍 PROMO CODE : JAVATECHIE50 Join this channel to get access to perks: 🤍 GitHub: 🤍 Blogs: 🤍 Facebook: 🤍 guys if you like this video please do subscribe now and press the bell icon to not miss any update from Java Techie Disclaimer/Policy: Note : All uploaded content in this channel is mine and its not copied from any community , you are free to use source code from above mentioned GitHub account
How to start a Kafka cluster of 1 broker using Docker and 🤍 We will leverage our own open-source project:🤍 Don’t forget to subscribe to get more content about Apache Kafka and Conduktor! Conduktor is an all-in-one friendly interface to work with the Kafka ecosystem, used by more than 40,000 developers in 5,000 companies worldwide! We're a team of Kafka lovers that decided to create a GUI to perform all your Kafka development & operations from one tool! It is native for Windows, Mac & Linux, works on any Apache Kafka cluster, and has dozens of awesome features to simplify your journey to modern #Apache Kafka applications. Download Conduktor and start developing and managing Apache Kafka with confidence here: 🤍 Learn Apache Kafka like never before with Conduktor Kafkademy - 🤍 You can follow #Conduktor on social media & share your awesome stories with us: Twitter - 🤍 LinkedIn - 🤍
In this video we will be installing Kafka server and the zookeeper server. we will then modification to server.properties and zookeeper.properties files so that Kafka server is able to connect to the zookeeper. we will change the below configuration - advertised.listeners=PLAINTEXT://[server-ip-address]:9092 - zookeeper.connect=localhost:2181 Then we will use the below command to start the server Start Kafka using : JMX_PORT=8004 bin/kafka-server-start.sh config/server.properties Start zookeeper using : bin/zookeeper-server-start.sh config/zookeeper.properties
🤍 | What does exactly-once semantics guarantee, and how do Apache Kafka Transactions deliver upon this? In this tutorial, learn how transactional support in Apache Kafka® allows for atomic-level updates from Jun Rao (Kafka Committer, PMC Member, VP of Kafka, and Co-Founder, Confluent). You will learn how transactions enable exactly-once semantics (EOS), which form the basis for this functionality in clients, like the streaming database ksqlDB and the Kafka Streams application library. You'll learn how Kafka handles system failure with transactional functionality and a couple of caveats to using transactions that you should be aware of. Use the promo code INTERNALS101 to get $25 of free Confluent Cloud usage: 🤍 Promo code details: 🤍 LEARN MORE ► Exactly-Once Semantics Are Possible: Here’s How Kafka Does It: 🤍 ► Transactions in Apache Kafka: 🤍 ► Improved Robustness and Usability of Exactly-Once Semantics in Apache Kafka: 🤍 ► Building Systems Using Transactions in Apache Kafka: 🤍 ► KIP-98 - Exactly Once Delivery and Transactional Messaging: 🤍 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. #streamprocessing #confluentcloud #apachekafka #kafka #confluent
Kafka UI Tools Overview. Conduktor - 0:00 Control Center - 0:14:13 Kafdrop - 00:24:22 Useful Links: Conduktor - 🤍 Control Center - 🤍 Kafdrop - 🤍 docker-compose file : 🤍 Check out my udemy course on test automation: 🤍 In case you find this video helpful, you can buy me a coffee here: 🤍 my twitter - 🤍
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In this new episode we will do an overview of Kafka Connect and then see how we can use it in combination with KsqlDB. We will move data from MySQL to Redis! Github repository: 🤍
Learn how apache kafka works and how to install, configure and run apache kafka. In this video tutorial, I will explain following things. 1. From where to download apache kafka? 2. How to start zookeeper server? 3. How to start apache kafka server? 4. What is apache kafka and how it works? 5. How to create topic in apache kafka? 6. How to start apache kafka producer to send data to apache kafka server? 7. How to start apache kafka consumer to consume data sent from kafka producer? Process to install and test Apache Kafka: // Install Java if not already installed brew cask install java (For Mac) // Download and extract Apache Kafka Download from 🤍 // Start zookeeper server bin/zookeeper-server-start.sh config/zookeeper.properties // Start Kafka server bin/kafka-server-start.sh config/server.properties // Create new topic bin/kafka-topics.sh create topic quickstart-events bootstrap-server localhost:9092 // See the topic by running below command: bin/kafka-topics.sh list bootstrap-server localhost:9092 // Send messages to Kafka cluster bin/kafka-console-producer.sh topic quickstart-events bootstrap-server localhost:9092 // Start consumer to dump messages send from producer bin/kafka-console-consumer.sh topic quickstart-events from-beginning bootstrap-server localhost:9092
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