Used by over 70% of the Fortune 500, Apache Kafka has become the foundational platform for streaming data, but self-supporting the open source project puts you in the business of managing low-level data infrastructure. Kafka Topic Naming conventions - Kafkawize Does anyone know how the integer are determined? We have 3 types of microservices. But software will be replaced, extended, etc at some point it really helps if not every application has to be modified afterwards because of a new topic name. Automate processes around your Kafka clusters with workflows, reduced risk full audit, governance. In my opinion RabbitMQ fits better in your case because you dont have order in queue. Kafka also provides you with record headers. . The first format option to look at is a simple hash of the bytes in the event stream. Kafkawize allows users to request for topics with the above limitations mentioned, together with a Prefix configuration. Second, is our Event Sourcing and Event Storage with Apache Kafka course, which covers a few other event-related subjects, including event sourcing and command-query resource separation. For your use case, the tool that fits more is definitely Kafka. Kafka is best fit here. Redis is mostly for caching. If user topics are centrally managed, application We will never send you sales emails. With Kafka at its core, Confluent offers complete, fully managed, cloud . Kafka: Distributed, fault tolerant, high throughput pub-sub messaging system. Essentially, the subject name is a unique identifier for a schema a reference to retrieve it from the store. First, start the Avro console consumer. We will only share developer content and updates, including notifications when new content is added. Underpinning the platform is our 99.99% uptime SLA and committer-driven expertise, providing support and services from the team with over one million hours of technical experience with Kafka. What happens if you've already found the item an old map leads to? Cloud. You dont need to store the data what you sent. It is crucial to define some naming conventions in the initial phases of the project, for proper Governance on the topics. Try it free today. how to manage the topics and your applications. We are delighted with the improvements we have seen in the monitoring of our business flows, speeding up lending approvals, and providing better and more timely fraud analytics, and look forward to expanding services to leverage the platform to simplify, automate, and drive business decisions., Head of Data Engineering and Distinguished Engineer at Morgan Stanley, "For me to go hire a bunch of engineers to babysit Kafka, I dont have the ability to go do that. writing, the application users must coordinate topic management. The producer, stream, and consumer are already tightly coupled, and any changes wont impact anyone outside of the domain. Note: Originally published for Jyotirmegha IT Labs Blog. The service name, event type, entity identifier, and a version ID compose the event-identifying string. Each Azure subscription can contain multiple Confluent plans. FOR THAT RECORD TYPE you can evolve the schemas separately. As far as I understand, Kafka is a like a persisted event state manager where you can plugin various source of data and transform/query them as event via a stream API. https://cnr.sh/essays/how-paint-bike-shed-kafka-topic-naming-conventions helped us answering that same question. From an architectural point of view, you should avoid coupling to applications via application names. From the broker perspective, internal topics are regular topics in contrast to broker internal topics mean? Have I seen this event yet? Based on the link posted, I just want to clarify: should we never do this? The message-types should say something about the structure of the message. So, I want to know which is best. These offer a space for additional context and custom metadata about the event, without affecting the structure of the key or value. Upgrading from Apache Kafka to Confluent is easy. Kafka Streams Internal Topic Naming - Stack Overflow Copyright Confluent, Inc. 2014- (log) indicates a relatively small message with a lot of dynamism and some stable meta-data. Kafka Topic Naming Conventions: Best Practices - Medium Readability and ease-of-understanding play a huge role in proper topic naming. What should be naming convention of topic and partition of Kafka? after quality assurance for example) with "public". Auto-creation of topics may be disabled in your Kafka cluster. Kafka enforces a set of legal characters that can constitute a topic name. In this post, I will provide the best practices on how to name Kafka topics. For example: To create a topic that uses RecordNameStrategy for the value: Bad characters : (/, \\, ,, \u0000, :, \, \, ;, *, ?, , \t, \r, \n, =), Avoid block letters like MortgageDetailstopic, Avoid camel case, and follow snake case like mortgage_details_topic to make it self-explanatory. Apache, Apache Kafka, Kafka, and associated open source project names are trademarks of the Apache Software Foundation, Top 5 Things Every Apache Kafka Developer Should Know, Stream Data Deduplication Powered by Kafka Streams | Philipp Schirmer, Bakdata. By clicking "SIGN UP" you agree to receive occasional marketing emails from Confluent. Using TopicNameStrategy effectively limits the topic to one record type, since all records in the topic must adhere to the same schema. Video courses covering Apache Kafka basics, advanced concepts, setup and use cases, and everything in between. It makes it easier for users to find and discover the data they need, while also providing a way to differentiate between similar events from different parts of your business. More details on Log entries and segments : Kafka Log, Few limitations on how a topic name can be created. We are doing a lot of Alert and Alarm related processing on that Data, Currently, we are looking into Solution which can do distributed persistence of log/alert primarily on remote Disk. Simple publisher / multi-subscriber model, Non-Java clients are second-class citizens, Jobs that mention Confluent and Kafka as a desired skillset, United States of America Texas Richardson. While a hash event_id can provide you with uniqueness for deduplication purposes, it wont be able to help you out if youre looking for sequencing information. So currently we are sending these third party messages by creating a new child thread at end of each REST API call so UI application doesn't wait for these extra third party API calls. Here are some examples: <project>.<product>.<event-name> <app-name>.<data-type>.<event-name> To learn more about topics in Kafka, see the Topics module - Apache Kafka 101 and Kafka Internals free courses. The next step in naming Kafka topics is defining what fields should go in the name and in what order should they appear. Faster Flink Adoption with Self-Service Diagnosis Tool at Pint Unified Flink Source at Pinterest: Streaming Data Processing. One day that code is refactored into its own microservice with a new name, and ownership of the stream is transferred. Est. Most topics eventually end up with more than one consumer and its producer could change in the future. While event IDs are not mandatory, they are a best practice. To use a strategy other than the default, set key.subject.name.strategy or value.subject.name.strategy on the client as needed. Finally, this module explores unique event IDs, as well as some strategies you can use to ensure each event is uniquely identifiable. RabbitMQ is great for queuing and retrying. Topics have partitions and under the hood, there are files and folders created for every partition in the file system. I will guide you on deciding the naming conventions and the dos and donts when you setup your systems. 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You should not use the auto-create topic feature on the brokers to create user topics, because: Internal topics are used internally by the Kafka Streams application while executing, for example the Describe the my_topic topic for the specified cluster (providing Kafka REST Proxy endpoint). Naming Convention Kafka Topic ENV and tenant id setting should be used in topic naming convention. They can be useful for ensuring correct processing order, deduplication, auditing, and debugging. You can think of the schema much like the schema of a relational database table, giving the requirements for data that is produced into the topic as well as giving instructions on how to interpret data read from the topic. Examples. Since youve now scoped the schema to a particular topic you dont have to use the same version across all topics in the cluster. This should not tell us about data format or contents. Apache Kafka Messaging System - Technical Designs and Decisions - FOLIO 5 recommendations with examples", which goes into more details. An Apache Kafka Consumer is a client application that subscribes to (reads and processes) events. Confluent exists everywhere your applications and data reside, providing you the freedom to leverage a fully managed service on all leading public clouds and self-managed software you can deploy for on-premises workloads, whether on bare metal, VMs, or Kubernetes. To truly meet that goal though, you need a solution that spans all of your environments, both on-premises and across cloud providers. Kafka is a persistent storage like the blockchain. (dot) and underscore(_) can be in a topic name, but better not use to avoid any metrics collision. Since you've now scoped the schema to a particular topic you don't have to use the same version across all topics in the cluster. Bi-weekly newsletter with Apache Kafka resources, news from the community, and fun links. When choosing a technology one important criteria to me is if it is cloud native or not. The try to adapt but will be replaced eventually with technologies that are cloud native. It covers the different kinds of schema formats, schema evolution rules, and how producers, consumers, and the schema registry all work together. Used by over 70% of the Fortune 500, Apache Kafka has become the foundational platform for streaming data, but self-supporting the open source project puts you in the business of managing low-level data infrastructure. For example: if a topic name is logstopic and has 2 partitions (with one broker), there are folders in the file system (Kafka Broker logs directory configuration log.dirs) created for this topic like below. topicA-value. Ex : devloggintopic, tstloggintopic, uatloggintopic, prdloggingtopic. This is a nice complement to the one from Chris Riccomini. A wide range of resources to get you started, Build a client app, explore use cases, and build on our demos and resources, Confluent proudly supports the global community of streaming platforms, real-time data streams, Apache Kafka, and its ecosystems. I just came across this one which looks good too. This is the subject of the data, such as customers, invoices, users, payments, etc. Apache Kafka vs Confluent: Comparing Features & Capabilities If you were passing the video frames directly into the queue then you'd probably want to go with Kafka however if you can just pass a pointer to the frames then RabbitMQ should be fine and will be much simpler to run. Jira Issue. Primarily because you don't need each message processed by more than one consumer. Databricks Unified Analytics Platform, from the original creators of Apache Spark, unifies data science and engineering across the Machine Learning lifecycle from data preparation to experimentation and deployment of ML applications. There is an important reason why you may want to use a single topic: You can only rely on, @ahong I agreen with @ankon that in this case you should use a single topic. We are not Zookeeper experts, and we dont want to be. users would not need to manage topics themselves but simply obtain access to them. A Kafka Streams application continuously reads from Apache Kafka topics, processes the read data, and then We will never send you sales emails. NATS - Absence of persistence. Each Confluent plan is mapped to a user account and organization in the Confluent portal. What is a Kafka consumer? Say we update the event - in this case, we remove some items from the cart, update the sequence_id from 1 to 2, and create the new event_id. Confluent has become a lynchpin to harness Apache Kafka for improved operational transparency and timely data-driven decisions. - No public GitHub repository available -, It is a data streaming platform based on Apache Kafka: a full-scale streaming platform, capable of not only publish-and-subscribe, but also the storage and processing of data within the stream. The schema registry plays a very important role in event-driven architectures and is essential for ensuring that both the producer and consumer of an event have a common understanding. I might use a message queue, in which case RabbitMQ is a good one. . TopicRecordNameStrategy is a combination of the first two strategies. Next, we look at metadata and headers, and the role that each plays in an event-driven architecture. What maths knowledge is required for a lab-based (molecular and cell biology) PhD? As always, overengineering should be avoided. Also, someone would have to manage these brokers (unless using managed, cloud provider based solution), automate their deployment, someone would need to take care of backups, clustering if needed, disaster recovery, etc. Avoid topic names based on things that change, Avoid topic names based on information that would be stored in other places. Topics. Does significant correlation imply at least some common underlying cause? All topics should follow kebab-base, such as my-awesome-topic-name. This is essentially a special case of the first advice :D. Decide casing early on, and consider enforcing it or at least check/monitor it. A wide range of resources to get you started, Build a client app, explore use cases, and build on our demos and resources, Confluent proudly supports the global community of streaming platforms, real-time data streams, Apache Kafka, and its ecosystems, Hands On: Establish Client Connectivity to Confluent Cloud, Hands On: Configure, Build and Register Protobuf and Avro Schemas, Integrating Schema Registry with Client Applications, Hands On: Integrate Schema Registry with Clients, Compatibility checksthey are done per subject. https://cnr.sh/essays/how-paint-bike-shed-kafka-topic-naming-conventions, blog post "Topic naming conventions: How do I name my topics? Hopefully reading this has provoked some thought into how to create useful topic naming conventions and how to prevent your Kafka cluster from becoming the Wild West. Kafka brokers provide topic metadata information. Timestamps are configurable at a per-topic level, so you can decide which one may work best for your use cases. They might now have additional topics like: How do you manage to keep topic names consistent? However, to get back your data on the new topic, you can use Mirror Maker or Confluent replicator, and get data replicated. I typically use the following classifications: The description is arguably the most important part of the name and is the event name that describes the type of data the topic holds. With SQS, you can offload the administrative burden of operating and scaling a highly available messaging cluster, while paying a low price for only what you use. It can be difficult and expensive to change your unique event format at a later time, so its generally worth spending the time and effort up front to find something that works for your organizations use-cases. Both are very performant. Note that you should specify the topic name as all-types since the corresponding subject is all-types-value according to TopicNameStrategy. Each of this directories contain files like below. To give some background, Kafka topics are feeds where in messages are produced to and consumed from clients. This option provides you with both the origin information of the service that created the event, but also decouples the service identity from the topic name. If the schema disagrees with the data being serialized, it will throw an exception, preventing any malformed data from being written into the Kafka topic. What's New in Apache Kafka 3.1.0 - Confluent Since the kafka topic names are going to be shared across teams, is there any best practice for naming? For Custom plugin name, enter msk-confluent-jdbc-plugin-v1. I have a good past experience in terms of manageability/devops of the above options with Kafka and Redis, not so much with RabbitMQ. Architecture and Design rmoff 30 November 2020 17:53 #1 riccomini.name Kafka Topic Naming Conventions Today, I'll be tackling the controversial subject of Kafka topic names. There is no control or way around what Kafka enforces. On-Prem. The connector configures and consumes change stream event documents and publishes them to a Kafka topic. If you end up changing the service that produces the order events, you can simply update the origin header information. 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You typically would decide the names for the topics based on conventions and practices followed at your company. I've seen some people suggest adding verbs to topics. Confluent Platform includes the Java consumer that is shipped with Apache Kafka. Apache ActiveMQ is released under the Apache 2.0 License. writes the processing results back into Kafka topics. Kafka is a distributed, partitioned, replicated commit log service. Site design / logo 2023 Stack Exchange Inc; user contributions licensed under CC BY-SA. In this case the 1 identifies that this is the first, and so far only, event to be published for this cart_id. When reading the next event for that specific cart_id, the consumer can look at two things: If its not the next in the sequence, the consumer will need to make a decisiondoes it wait for the proper sequence event? The first step to make sure that the users adhere to the naming conventions is to disallow any random user from being able to create topic. Won't a simple REST service based arch suffice? under the terms of the Apache License v2. Describe the my_topic topic for the specified cluster (providing embedded Kafka REST Proxy endpoint). Multiple Event Streams, Dimension 4: Modeling As Discrete vs. Kafka helps to streamline digital architectures in real time, avoid complex point-to-point integrations, and break data silos. You don't want the UI thread blocked. In a separate console, start the Avro console producer. This project contains common transformations for every day use cases with Kafka Connect. Does the policy change for AI-generated content affect users who (want to) Nats/Jetstream: naming conventions for commands' subjects. A Confluent organization is a resource that provides the mapping between the Azure and Confluent Cloud resources. The Apache Kafka topic configuration parameters are organized by order of importance, ranked from high to low. Setting the topic prefix in Management Console by using Kafka properties changes the default topic naming convention. Apache Kafka: Topic Naming Conventions - Shawn Seymour Kafka Streams distinguishes between user topics and For more information about configuring parameters for internal topics, While Kafka is a powerful distributed system, modern enterprises do not want to be in the business of supporting the open source distribution in-house. Copyright Confluent, Inc. 2014-2023. transformations kafka-connect Resources. Lowercase topic names are easy to read and kebab-case flows nicely; we avoid the use of underscores due to metric naming collisions with periods. If log.dirs=/usr/share/kafka, we should see 2 directories for this topic. Video courses covering Apache Kafka basics, advanced concepts, setup and use cases, and everything in between. Although the cart_id uniquely identifies the cart, we rely on the sequence_id to indicate which number of event this is.