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Über 7 Millionen englische Bücher. Jetzt versandkostenfrei bestellen Confluent for Kubernetes packages the constructs for declaratively managing the complete platform. If you are a central platform team or a shared services team, you can build on top of these to provide your application teams a self-service, private cloud experience for Confluent Platform This blog post walks through an end-to-end demo that uses the Confluent Operator to deploy Confluent Platform to Kubernetes. We will deploy a connector that watches for commits to a GitHub repository and then write those commit messages to an Apache Kafka ® topic in Confluent Platform. The connector will authenticate with GitHub using secret credentials that are securely stored in HashiCorp. The Recommendations for Deploying Apache Kafka on Kubernetes white paper helps you see how Confluent Platform components fit into the Kubernetes ecosystem. It also covers our approach to networking, storage, traffic, log aggregation, metrics and more. We will update this white paper as the Kubernetes ecosystem continues to evolve This blog post describes Confluent Cloud's architecture and how Kubernetes and the Confluent Operator for Kafka are leveraged to achieve a serverless experience. The experience is created with four keys components: Confluent Cloud control plane. Confluent Kubernetes Operator. Self-Balancing Clusters. Infinite Storage

Elastically Scaling Confluent Platform on Kubernetes. This month, we kicked off Project Metamorphosis by introducing several Confluent features that make Apache Kafka ® clusters more elastic —the first of eight foundational traits characterizing cloud-native data systems that map to key product announcements for the coming year The ccloud-operator utilizes the Confluent Cloud CLI and shell scripts built into a Docker image to implement a Kubernetes Operator style (Declare → Apply) solution from the command line.Using the shell-operator project enables us to build basic event-driven scripts, called hooks, which run inside the Kubernetes cluster, reacting to changes in Kubernetes resources Confluent Blog Use CL60BLOG to get an additional $60 of free Confluent Cloud - (details) All Categories Analytics Apache Kafka Big Ideas Clients Company Confluent Cloud Confluent Operator Confluent Platform Connecting to Apache Kafka Frameworks Kafka Summit Log Compaction Microservices Pipelines Solutions Stream Processing Use Case Introducing the Confluent Operator: Apache Kafka on Kubernetes Made Simple. At Confluent, our mission is to put a Streaming Platform at the heart of every digital company in the world. This means, making it easy to deploy and use Apache Kafka and Confluent Platform—the de-facto Streaming Platform—across a variety of infrastructure environments

How to Deploy and Run Confluent Platform on PivotalConfluent Platform VS Apache Kafka: What are the differences?

Confluent Platform on Kubernetes. As shown in the figure below, of the many components that ship as part of the Confluent Platform, only three are mandatory for our IoT app. Step 1: cp-kafka statefulset and its headless service; Step 2: cp-zookeeper statefulset and its headless service; Step 3: cp-ksql-server deployment and a loadbalancer servic Confluent for Kubernetes Scenario Examples. This GitHub repository accompanies the official Confluent for Kubernetes documentation. This repository contains scenario workflows to deploy and manage Confluent on Kubernetes for various use cases. Prerequisites. The following prerequisites are assumed for each scenario workflow

When Confluent launched the Helm Charts and early access program for Confluent Operator, we published a blog post explaining how to easily run Apache Kafka ® on Kubernetes.Since then, we've heard from quite a few members of the community question whether running Kafka on Kubernetes is actually a good idea Confluent Blog. Use CL60BLOG to get an additional $60 of free Confluent Cloud- Search This blog post walks through an end-to-end demo that uses the Confluent Operator to deploy Confluent Platform to Kubernetes. We will deploy a connector that watches for commits to a. Joy Nag; Implementing mTLS and Securing Apache Kafka at Zendesk. January. DevOps for Apache Kafka® with Kubernetes and GitOps¶. The streaming-ops project is a simulated production environment running a streaming application targeting Apache Kafka® on Confluent Cloud. Applications and resources are managed by GitOps with declarative infrastructure, Kubernetes, and the Operator Pattern.This document contains usage instructions and highlights of the project

This blog post walks through an end-to-end demo that uses the Confluent Operator to deploy Confluent Platform to Kubernetes. We will deploy a connector that watches for commits to a. Amit Gupta; The Cloud-Native Evolution of Apache Kafka on Kubernetes. November 16, 2020 Find technical tutorials, best practices, customer stories, and industry news related to Apache Kafka, Confluent, and real-time data technologies Recently, Confluent announced the general availability (GA) of Confluent for Kubernetes, a complete, declarative API-driven experience for deploying and self-managing Confluent Platform as a cloud-na Confluent has released Confluent for Kubernetes, a repackaging of its cloud-based streaming data platform that enables customers to build and operate their own on-premises Apache Kafka service.. Announcing the new product on the Confluent Blog, product manager Rohit Bakhshi said that Confluent for Kubernetes provides a complete declarative API-driven experience for deploying and managing the. Yimeng Liu, Solutions Architect in the Solutions Architecture team of the Cloud Platform Business Unit. VMware vSphere® with Tanzu™ includes everything an enterprise needs to make the best use of Kubernetes as part of its VMware vSphere-based infrastructure.The Confluent Platform is an enterprise-ready platform that complements Apache Kafka with advanced capabilities designed for.

Confluent for Kubernetes extends the Kubernetes API, enabling organizations to define the desired high-level state of clusters rather than manage all the low-level details. This infrastructure-as-code approach reduces operational burden and achieves a faster time to value, while enhancing security with standards that can be easily and. Confluent, Inc., the platform to set data in motion, today announced Confluent for Kubernetes, the first platform purpose-built to bring cloud-native capabilities to data streams in private infrastructures.To make it easier and faster to harness the value of data in motion across an entire organization, Confluent drew on its expertise managing thousands of Apache Kafka ® clusters in Confluent.

This blog post walks through an end-to-end demo that uses the Confluent Operator to deploy Confluent Platform to Kubernetes. We will deploy a connector that watches for commits to If you'd like a primer on running Confluent for Kubernetes in GKE with lower resource requirements, see the Confluent Platform on Google Kubernetes Engine example. This example is featured in the Conquering Hybrid Cloud with Replicated Event-Driven Architectures blog post which provides more details on use cases for replicated event streaming. Confluent, Inc., the platform to set data in motion, today announced Confluent for Kubernetes, the first platform purpose-built to bring cloud-nativ Confluent Platform provides flexible infrastructure-as-code tooling for DevOps and Platform teams to confidently deploy and manage Kafka clusters in your private infrastructure, as either a cloud-native service on Kubernetes or on bare metal and virtual machines.. For those who want to deploy on Kubernetes, you can build your own private cloud Kafka service using a complete, declarative API.

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  1. g.
  2. Pre-requisites. This Confluent Operator Early Access is compatible with Confluent Platform 6.0. To use this Confluent Operator Early Access, you'll need: A Kubernetes cluster - any CNCF conformant version. Helm 3 installed on your local machine. Kubectl installed on your local machine
  3. Confluent, Inc., the platform to set data in motion, today announced Confluent for Kubernetes, the first platform purpose-built to bring cloud-native capabilities to data streams in private.

Confluent Operator automates provisioning, management and operations of Confluent Platform on Kubernetes using the Operator API. Provision in Minutes Eliminate configuration overhead and accelerate time to value through automated, zero-touch provisioning of production-ready Docker images Kafka Connect is a popular tool for scaling and reliably streaming data between Apache Kafka and other data systems. It ships with a JDBC Sink which is used to insert data from Kafka to a database. Although the default JDBC Sink is good for many popular RDBMS it isn't optimized for distributed SQL databases that provide linear scalability and high availability like YugabyteDB Figure2: Confluent Platform Components. Helm. Helm is an open source packaging tool that helps you install applications and services on Kubernetes. Helm uses a packaging format called charts, which are a collection of YAML templates that describe a related set of Kubernetes resources. Deploying Confluent Platform on Container Engine for Kubernetes

Confluent Operator is now GA for production deployments (Download Confluent Operator for Kafka here).This is a Kafka Operator for Kubernetes which provides automated provisioning and operations of an Apache Kafka cluster and its whole ecosystem (Kafka Connect, Schema Registry, KSQL, etc.) on any Kubernetes infrastructure July 27, 2021. Confluent Operator. Elasticity. Kubernetes. Self-Balancing Clusters. Serverless offerings in the cloud are a favorite among software engineers—a prime example are object stores such as AWS S3. For the system designer, however, it is an engineering challenge Enabling everyone to run Apache Kafka® on Kubernetes is an important part of our mission to put a streaming platform at the heart of every company. This is why we look forward to releasing an implementation of the Kubernetes Operator API for automated provisioning, management, and operations of Kafka on Kubernetes Confluent Cloud is fully managed Apache Kafka made cloud-native. Read the latest articles on multi-cloud data streaming, microservices, analytics, and more. Mastering DevOps with Apache Kafka, Kubernetes, and Confluent Cloud. Ask the community. Get Started Free. Confluent Blog. Use CL60BLOG to get an additional $60 of free Confluent Cloud

Introducing Confluent for Kubernete

Atlassian JIRA Software and Confluence are a nice agile management tool. We can start using JIRA and Confluence on Atlassian Cloud in a few minutes but we still need a private server in some cases. Confluent Partner Program. Data Pipeline. Microsoft Azure. MySQL. Spring. Tutorial. Self-managing a distributed system like Apache Kafka®, along with building and operating Kafka connectors, is complex and resource intensive. It requires significant Kafka skills and expertise in the development and. Viktor Gamov This tutorial describes how to set up an Apache Kafka ® cluster on Enterprise Pivotal Container Service (Enterprise PKS) using Confluent Operator, which allows you to deploy and run Confluent Platform at scale on virtually any Kubernetes platform, including Pivotal Container Service (PKS).With Enterprise PKS, you can deploy, scale, patch, and upgrade all the Kubernetes clusters in your system. DevOps for Apache Kafka with Kubernetes and GitOps; Spring Your Microservices into Production with Kubernetes and GitOps; Join the Confluent Community Slack; Learn more with Kafka tutorials, resources, and guides at Confluent Developer; Live demo: Kafka streaming in 10 minutes on Confluent Clou

Manage Secrets for Confluent Platform with Kubernetes and

  1. Kafka connect data pipeline from confluent blog. While there is a nice collection of Kafka connectors, few on Confluent cloud are fully managed which leaves Kafka users with a lot of work to do if they want to manage their sources and sinks efficiently.. Following up on the previous two posts where I showed how to produce messages to Kafka and how to consume messages from Kafka I am now going.
  2. Confluent has a Kubernetes operator. What isn't talked about is how Kubernetes has completely changed the operational game. It's odd to me how Kubernetes and its effects are almost ignored in the S1. One possibility is that people bypass Confluent Cloud altogether because they can easily start a cluster with Kubernetes
  3. Apache Kafka® Confluent Platform on Kubernetes and OpenShift. This repo provides docker files, k8s manifests and OpenShift templates for Apache Kafka® Confluent Platform Community Edition. The reason why we're not using helm charts or the kafka operator at this time is because we like plain manifests which are more suitable for the learning.
  4. g with Apache Kafka, enabling customers to manage all Confluent Platform components across multicloud and on-premise environments.By doing so, the platform bridges a much-needed gap for data access between on-premises and cloud infrastructure for data strea
  5. This article describes a set of work that was done at VMware's labs with Confluent staff to demonstrate deployment of the full Confluent Platform, using the Confluent Operator, on VMware vSphere 7 with Kubernetes. The Confluent Platform is a collection of processes, including the Kafka brokers and others that provide cluster robustness, management and scalability.
  6. imum local data (hot data) in the brokers
  7. The efforts of Confluent and fueling a community and ecosystem such as Lenses has led to Kafka to become a key component of any data platform, opening up real-time data streams to allow a new generation of data products. The level of adoption that only a handful of open-source projects have been able to achieve and the IPO is a testament of that

Getting Started with Apache Kafka and Kubernetes Confluen

A base deployment of Confluent Platform on Google Kubernetes Engine (GKE) with sample data generation using Kafka Connect. replicator-gke-cc. Utilize Kubernetes on GKE, Confluent Operator, and Confluent Replicator to replicate topics to Confluent Cloud. aks-base. A base deployment of Confluent Platform on Azure Kubernetes Service (AKS) with. Confluent Platform, based on Apache Kafka, is the leading enterprise distribution that companies depend on to capitalize on real-time data at scale. Pivotal and Confluent are working together on bringing enterprise-grade Apache Kafka to the Pivotal Cloud Foundry ecosystem. Event-driven architectures have emerged as a hot topic Creating a Confluent Platform cluster in managed Cloud Kubernetes Engines with terraform deployed. - ora0600/confluent-operator2GK This document goes over some frequently asked questions regarding the Dockershim deprecation announced as a part of the Kubernetes v1.20 release. For more detail on the deprecation of Docker as a container runtime for Kubernetes kubelets, and what that means, check out the blog post Don't Panic: Kubernetes and Docker. Why is dockershim being deprecated Running Confluent Schema Registry on Kubernetes. It seems that the simplest way to run Confluent Schema Registry locally is on Kubernetes. Since we need to run at least Zookeeper and Kafka to be able to run schema registry we will use Helm for it. First, let's add Confluent Helm repository

Making Kafka Serveless: Lessons From Confluent Clou

This blog post is an excellent article for the Kubernetes with Docker for Mac/Windows. Accessing an application on Kubernetes in Docker There are some good tutorials to get you started with Kubernetes on Docker for Mac / Windows, like this one from Romi Kubernetes has numerous network plugins (Container Network Interfaces or CNIs) that can be used in the cluster. Kubenet is the basic, and in many cases the default, network plugin. In this configuration, a bridge is created on each node (cbr0) to which the various pods are connected using veth pairs The Kubernetes operator pattern is a very good fit for running Kafka on Kubernetes as it makes the operation part very easy. Thanks to the large Kafka ecosystem users can decide between two open source options and the commercial operator from the Kafka creators at Confluent

Service Mesh and Cloud-Native Microservices with Apache

Elastically Auto Scaling Kafka on Kubernetes with Confluen

In this article, you will learn how to use Confluent Schema Registry with Spring Cloud Stream and Kafka in a microservices architecture. We will use Apache Avro to serialize an Execute kube-up.sh to start Kubernetes on your single-node setup: ./kube-up.sh. Modify ndslabs/apiserver.yaml and ndslabs/gui.yaml so that it reflects the addresses in your cluster. Once Kubernetes is up and running, you can run ./ndslabs-up.sh to bring up the GUI and API server: ./ndslabs-up.sh In this simple blog, I will walk you through how to access your local kafka from kubernetes. Step 1. Run your local kafka. Easiest way is to get the latest community edition from confluent and unzip to a local folder. Here is the link. Then run kafka. confluent-5.3.1 > bin/confluent local star Kubernetes is known as a container orchestration system, and a container is the modern way of how you package and deliver your application. Viktor Gamov (Dev.. The Confluent Platform Helm charts enable you to deploy Confluent Platform services on Kubernetes for development, test, and proof of concept environments. cnfl.io/getting-started-kafka-kubernetes Apache-2.0 Licens

DevOps for Apache Kafka with Kubernetes and GitOps - Confluen

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Confluent Blog Apache Kafka Tutorials, Tips, and Product

  1. g cloud native. After a few years of experience running Kafka on Kubernetes, we've learned that it doesn't have to be complicated. To clarify what we mean by Kafka as a Service, think of it as a 24×7 fully managed service without.
  2. g platform that makes.
  3. Today, we're happy to announce the 1.0 release of Supertubes, Banzai Cloud's tool for setting up and operating production-ready Kafka clusters on Kubernetes through the leveraging of a Cloud-Native technology stack.. In addition to operating production-ready Kafka clusters on Kubernetes, Supertubes comes with features that ease the adoption of Kafka on Kubernetes, such as declarative ACL.

To deploy the 6.2.0 and later versions of Confluent Platform, you must use the confluent-init-container instead of the legacy cp-init-container-operator. An example ZooKeeper CR to deploy ZooKeeper 6.2.0 with CFK 2.0.1: apiVersion: platform.confluent.io/v1beta1 kind: Zookeeper metadata: name: zookeeper namespace: confluent spec: image. Learn more in the GitHub Actions User Guide. Kubernetes: new skipAwait option. For some Kubernetes use cases, including Helm charts, you may want to be able to turn off all await logic, so that you can use Kubernetes via Pulumi in a way that feels more similar to the default Kubernetes API and kubectl experience. Previously, you could achieve this by marking individual entities with a custom. Start your 3-month trial of Confluent Cloud with up to $200 off on each of your first 3 monthly bills. Confluent Cloud alleviates the burden of managing Apache Kafka, Schema Registry, Connect, and ksqlDB so teams can effectively focus on modern app development and deliver immediate value with real-time analytics use cases Confluent and Microsoft have worked together to enable seamless integration experience between Azure and Confluent Cloud - a managed Apache Kafka service. This service will enable you to provision Confluent Cloud resources using Azure client interfaces like portal/CLI/SDKs. Other integration points include single sign-on using Azure Active directory and unified billing through Azure with an. There's a new post on the Confluent blog. Here's a snippet from it: This blog post walks through an end-to-end demo that uses the Confluent Operator to deploy Confluent Platform to Kubernetes. We will deploy a connector that watches for commits to a [] Head over to the blog to read the full articl

Introducing the Confluent Operator: Apache Kafka® on

  1. This blog post takes a look at cutting edge technologies like Apache Kafka, Kubernetes, Envoy, Linkerd and Istio to implement a cloud-native service mesh for a scalable, robust and observable microservice architecture
  2. Here are some important concepts, documentation and keywords of Kafka that you can refer and learn. There are two major flavors of Kafka - Apache Kafka & Confluent Kafka, I have listed major keywords, documentation and concepts from both here
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  4. Confluent Platform can be run for development purposes on a machine with 4GB ram. System requirements for each component of the platform are typically higher for production. For example: Control Center, 300GB storage, 32GB ram, 8 CPU cores or more; Brokers, MultiTB storage, 64GB ram, Dual 12 core cpu; KSQL, SSD storage, 20GB ram, 4 cores
  5. US Kubernetes is an open-source system for automating deployment, scaling, and management of containerized applications. Follow this blog to get articles on Kubernetes. Frequency 2 posts / week Since Mar 2015 kubernetes.io Facebook fans 20.3K ⋅ Twitter followers 239.2K ⋅ Social Engagement 166 ⓘ ⋅ Domain Authority 77 ⓘ ⋅ Alexa Rank 8.5K ⓘ View Latest Posts ⋅ Get Email Contac

Best Practices for Deploying Confluent Kafka, Spring Boot

Frequently Asked Questions about HiveMQ and MQTT

GitHub - confluentinc/confluent-kubernetes-examples

Apache Kafka on Kubernetes - Could You - Confluen

Confluent and Kafka with Viktor Gamov. Viktor Gamov is on the podcast today to discuss Confluent and Kafka with Mark and special first-time guest host, Michelle. Viktor spends time with Mark and Melanie explaining how Kafka allows you to stream and process data in real-time, and how Kafka helps Confluent with its advanced streaming capabilities Kubernetes Helm Charts. To deploy a Kubernetes Blueprint using a Kubernetes Helm Chart: Download the sample Kubernetes Helm Chart.. Create an archive using the following script: tar -cvf mongodb tar --gzip -cvzf mongodb-5.17.0.tgz mongodb Login to your HCP portal account Confluent, Inc., the platform to set data in motion, today announced Confluent for Kubernetes, the first platform purpose-built to bring cloud-native capabilities to data streams in private infrastructures. To make it easier and faster to harness the value of data in motion across an entire organization, Confluent drew on its expertise managing thousands of Apache Kafka® clusters in Confluent. We kicked off the the first part of the series by setting up a single node Kafka cluster which was accessible to only internal clients within the same Kubernetes cluster, had no encryption, authentication or authorization and used temporary persistence. We will keep iterating/improving on this during the course of this blog series Bloomberg the Company & Its Products The Company & its Products Bloomberg Terminal Demo Request Bloomberg Anywhere Remote Login Bloomberg Anywhere Login Bloomberg Customer Support Customer Suppor

Confluent, the creators of Apache Kafka, extends Apache Kafka to be a secure, enterprise-ready platform trusted by 80% of the Fortune 100. Together, IBM Cloud Pak for Integration and Confluent Platform can help you unlock and take advantage of those events to deliver critical engaging customer experiences and drive business innovation Powered by a free Atlassian Confluence Open Source Project License granted to The Linux Foundation. Evaluate Confluence today. Powered by Atlassian Confluence 7.4.8; Printed by Atlassian Confluence 7.4.8; Report a bug; Atlassian New A Pulumi package for creating and managing confluent cloud resources. confluent.confluent | Pulumi Watch the Pulumi 3.0 annoucements and learn about the new features we've built to make your life easier Unpack the biggest news for Azure Stack HCI at Microsoft Ignite 2020: Azure Kubernetes Service. In this blog, I'll set up a Kubernetes cluster on Azure Stack HCI, dive deep into the storage architecture, and then containerize and deploy a sample app to demonstrate scenarios like dynamic provisioning and scale-out The Kubernetes cluster section of the details page shows the status of the components in the Kubernetes cluster. Gauges to measure resource allocation and the number of nodes and pods are also displayed. The section is described in the following table. The aggregated value of CPU, memory, and pods allocated to the cluster

Confluent Schema Registry Kubernetess hangs. I am trying to run Schema-registry server using helm charts from github hangs during startup when I deploy the kubernetess, kafka and zookeeper is up. I tried to Add DEBUG=true for more info but nothing prints. It was working great but i dont know what is happening Confluent's commercial Kafka platform for managing streaming data now can work seamlessly with Microsoft Azure such that Azure customers can access Confluent Cloud without ever leaving the Azure portal, Dan Rosanova, head of product management at Confluent, told The New Stack.. As one of the first partners to build this type of integration with Microsoft, Rosanova said, Confluent. Building Event Streaming Architectures on Scylla and Kafka. About this event: You will learn how the Scylla NoSQL database and Confluent Kafka interoperate in this interactive webinar with a Q&A session in the end. Cost of participation: Free event Place: Online Date: Thursday, 17 June 2021 1:00 pm to 2:00 Based on Apache Kafka® 2.8, Confluent Platform 6.2 introduces Health+, which offers intelligent alerting, cloud-based monitoring tools, and accelerated support so that you can get notified of potential issues before they manifest as critical problems that lead to downtime and business disruption. 1. 2 Apache Kafka is an open source software originally created at LinkedIn in 2011. It's used by companies like Linkedin, Uber, Twitter and more than one-third of all Fortune 500 companies use Apache Kafka. It provides a framework for collecting, reading and analysing streaming data. Apache Kafka works as a distributed publish-subscribe messaging system. In the Publish-Subscribe system, message.

The Confluent Cloud provider for Pulumi can be used to provision any of the cloud resources available in Confluent Cloud . The Confluent Cloud provider must be configured with credentials to deploy and update resources in Confluent Cloud. See the full API documentation for complete details of the available Confluent Cloud provider APIs Monitor Confluent Platform with Datadog. integration / kafka / confluent. Confluent Platform is an event streaming platform built on Apache Kafka. If you're using Kafka as a data pipeline between microservices, Confluent Platform makes it easy to copy data into and out of Kafka, validate the data, and replicate entire Kafka topics. We've. Why Docker. Overview What is a Container. Products. Product Overview. Product Offerings. Docker Desktop Docker Hub. Features. Container Runtime Developer Tools Docker App Kuberne OpenShift Operators provide full control over the life cycle of complex applications. They use custom resources to define an application's desired state, and implement controllers that watch those Guillaume Radde. July 6, 2021

DevOps for Apache Kafka® with Kubernetes and - Confluen

The Kafka Streams API in a Nutshell¶. The Streams API of Apache Kafka®, available through a Java library, can be used to build highly scalable, elastic, fault-tolerant, distributed applications and microservices.First and foremost, the Kafka Streams API allows you to create real-time applications that power your core business.It is the easiest yet the most powerful technology to process data. When asked by Civo, 80% of Kubernetes users are familiar with K3s and already over half (51%) would consider it for production workloads. Mark Boost, Co-Founder and CEO at Civo, said: Our research makes it clear what many in the industry have suspected for some time: complexity is a major obstacle in the uptake of Kubernetes At Banzai Cloud we are building a Kubernetes distribution, PKE, and a hybrid-cloud container management platform, Pipeline, that operate Kafka clusters (among other types) for our customers. Apache Kafka predates Kubernetes and was designed mostly for static on-premise environments. State management, node identity, failover, etc all come part. Courtesy: Confluent Operator. Confluent Operator is probably the most comprehensive one out there with support for entire Confluent platform (Kafka Connect, KSQL, Schema Registry, Replicator etc.) on Kubernetes. Strimzi is another one to watch out for. It has got a pretty impressive & comprehensive documentation and a pretty active Github repo vSphere with Tanzu embeds Kubernetes in the vSphere control plane. A Tanzu Kubernetes Grid cluster is a full distribution of the open-source Kubernetes software that is packaged, signed, and supported by VMware. We deployed Confluent Platform as pods running in a Tanzu Kubernetes Grid cluster (Figure 1). Figure 1

Confluent Announces Confluent for Kubernetes into General

31Apache Kafka and Service Mesh (Envoy / Istio) - Kai Waehner Confluent's Kubernetes Journey building Confluent Cloud 05/2017 Confluent Cloud Early Access 2016 Confluent Cloud Development 11/2017 Confluent Cloud GA (AWS) 07/2019 Confluent Operator GA (Confluent Platform) 2019 Confluent Cloud GA on AWS, GCP, Azure 32 Blog: Kubernetes API and Feature Removals In 1.22: Here's What You Need To Know 14 July 2021 Blog: Announcing Kubernetes Community Group Annual Reports 28 June 2021 Blog: Writing a Controller for Pod Labels 21 June 202

Reference Architecture for VDA5050Overview of UI monitoring tools for Apache Kafka clustersREST API To Flatten JSON