Published November 2023 Apache Kafka servers may need occasional restarts to maintain optimal performance and stability. There are four common reasons to restart your Kafka server. Configuration Changes. A restart may be necessary after adjusting topic or security settings. Software Updates. Bug fixes and new feature updates are essential for Kafka security and performance. A … Continue reading Instructions for Restarting a Kafka Server
Published October 2023 Not every company has a testing environment for Kafka, but every company should. In this post, you’ll learn why a testing environment is indispensable for Apache Kafka, what it should include, when to use it, the problems it helps avoid, and its inherent limitations. Why a Kafka Testing Environment is Essential Implementing … Continue reading Why You Need a Testing Environment for Kafka
Published October 2023 One of the emerging trends we’ve observed in the data architecture space is the growing interest in moving from externally hosted Kafka to companies running Kafka in their own environments. In this post, we’ll detail why companies are migrating Kafka to their internal environments, the importance of zero downtime migration, and how … Continue reading Zero Downtime Migration to Kafka
Published September 2023 Traditional batch processing systems, albeit effective for fixed datasets, are often ill-suited for real-time, high-throughput scenarios. Kafka Streams enables organizations to act on data as it arrives, making it particularly useful for applications that require immediate response. Kafka Streams is a client library for building real-time applications and microservices. It’s a part … Continue reading What is Kafka Streams?
Published August 2023 We often get asked: “Can a Kafka consumer listen to multiple topics?” The short answer is: Yes, a Kafka consumer can listen to (or subscribe to) multiple topics. In this post we discuss examples where consumers would listen to multiple topics versus only one. And we address concerns about potential impacts on … Continue reading Kafka Consumers: The Power of Listening to Multiple Topics
Published August 2023 Apache Kafka is the backbone of many modern data architectures due to its ability to handle real-time data streams efficiently. One of the most commonly asked questions in the Kafka community is, “How many topics can Kafka support?” In this blog post, we will dive deep into this question of topic capacity … Continue reading Scaling Kafka: Unraveling the Mystery of Topic Capacity
Published August 2023 Optimizing Kafka broker performance will have a direct impact on your overall Kafka implementation. In this blog post, we cover what a Kafka broker does, why it’s essential, and how to optimize Kafka broker settings. We also share firsthand experiences optimizing Kafka brokers from our work with Fortune 500 companies. We encourage … Continue reading Optimizing Kafka Brokers: Lessons From Managing Fortune 500 Implementations
Updated September 2023 Apache Kafka is available under the Apache License v2.0, and is completely free. The license is extremely permissive, allowing for users to include Kafka in consumer products and edit the code. Confluent Kafka is available either free under their community license (not open source) or a paid version. The paid version of … Continue reading Is Kafka free?
Published May 2023 Apache Kafka partitions are integral to Kafka’s ability to scale. The act of partitioning divides up a single topic into multiple partitions. Each of the partitions can then exist on a separate node within the Kafka cluster. The work of storing, writing, and processing messages is then distributed across multiple nodes in … Continue reading What is a Kafka partition?
Published August 2023 Yes, Apache Kafka does guarantee message order. In this article we will walk you through how Kafka guarantees order using the detailed figure below. Producers’ Role in Kafka Ordering Data is sent to Kafka from producers. Producers are often applications that generate messages. And each message sent to Kafka will correlate with … Continue reading Does Kafka Guarantee Message Order?
Updated August 2023 Apache Kafka is not a traditional message queue. Kafka is a free to use, distributed messaging system that includes components of both a message queue and a publish-subscribe model. Kafka improves on the deficit of each of those traditional approaches allowing it to provide fault tolerant, high throughput stream processing. Traditional shared … Continue reading Is Kafka a message queue?
Published October 2022 Here are two quick steps to check which version of Apache Kafka is running. Step 1: Change directories to the Kafka home directory. Step 2: Use command-line utilities to enter the following command: It will return the version running. Here the Kafka version running is 3.3.1.
Updated August 2023 In this article we provide succinct answers to common Apache Kafka consumer questions. You will learn the basics of how Kafka consumer groups work, how many consumers you can have per topic, and other important Kafka consumer facts. Answers to commonly asked questions about Kafka consumers Can a Kafka consumer read from multiple … Continue reading Kafka Consumer Basics
Updated August 2023 Pulsar and Kafka achieve the same result. They both guarantee messages reach their intended destination(s). Yet, there are important differences between the two message queues. These differences can make one of the technologies a better fit, depending on your use case. In this post we cover 8 ways in which Apache Kafka … Continue reading Kafka vs Pulsar
Published July 2022 It can be difficult to choose a managed Kafka service provider because they can all somehow appear so different and yet also so similar. Here we break down the 8 biggest factors to consider when comparing providers. 8 Considerations for Choosing a Managed Apache Kafka Provider #1 Preventative maintenance Preventative maintenance guided … Continue reading How to Choose a Managed Kafka Service Provider
Published August 2023 Apache Kafka is a highly reliable tool when configured correctly for your use case. It should be the piece of your data architecture that you can be sure will remain online. Here we put together eight important best practices to help shore up your Kafka implementation. 8 Tips to Prevent Kafka Downtime … Continue reading How to Prevent a Kafka Outage
Updated May 2022 If you found this post it’s likely because you got the Kafka member_id error. Let’s first cover why the error popped up and then go through two ways to resolve the error. Reason for the Kafka Member ID Error When a new consumer joins a group it enters with the member.id set … Continue reading How to fix the MEMBER_ID Error in Kafka
Updated August 2023 Companies are coming to us specifically for assistance with deploying and managing Apache Kafka on Kubernetes. With many teams already familiar with Kubernetes, it can sometimes be the best choice to spin up Kafka servers on Kubernetes alongside their other applications. Kafka on Kubernetes presents some challenges though. In this post we … Continue reading Kafka on Kubernetes
Updated February 2023 Kafka Connect is a free tool for efficiently moving data into and out of Apache Kafka. Kafka Connect simplifies streaming data while also improving scalability and reliability. Features of Kafka Connect Standardizes integrations with Kafka. Kafka Connect provides a shared framework for all Kafka connectors, which improves efficiency for connector development and … Continue reading What is Kafka Connect?
Updated August 2023 Apache Kafka is a distributed messaging system that implements pieces of the two traditional messaging models, Shared Message Queues and Publish-Subscribe. Both Shared Message Queues and Publish-Subscribe models present limitations for handling high throughput use cases. Apache Kafka provides fault tolerant, high throughput stream processing that can handle even the most complicated … Continue reading Kafka Uses Consumer Groups for Scaling Event Streaming
Updated March 2023 Below are eight case studies showcasing how our Kafka experts have supported clients with Kafka challenges. These case studies cover a variety of fields and highlight the vast applications for Kafka across industries. Learn about Kafka support Information Security CHALLENGE: Client needs to monitor all servers, devices, applications, and laptops in this … Continue reading Kafka Case Studies
Updated August 2023 In this post we will compare Apache Kafka and the Confluent Kafka Platform, describing what they have in common and what sets them apart. What is Confluent Kafka and Apache Kafka? Apache Kafka is a free, open source message broker that provides high throughput, high availability, and low latency. Apache Kafka can … Continue reading Comparing Confluent Kafka and Apache Kafka
Updated July 2022 Taking a break from Kafka optimization posts to get back to the basics of Apache Kafka and define fundamental Kafka concepts. Kafka Definitions: A Primer for Apache Kafka Fundamentals Kafka Producer. A Kafka producer is a standalone application, or addition to your application, that sends data to Kafka broker(s). Kafka Broker. A … Continue reading Kafka Definitions
Updated August 2023 Kafka Consumer’s Role. The role of the Kafka consumer is to read data from Kafka. Kafka consumer optimization can help avoid errors and increase performance of your application. While the focus of this blog post is on the consumer, we will also review several broker configurations which affect the performance of consumers. Top … Continue reading Kafka Consumer Optimization
Updated January 2022 Apache Kafka is hugely popular because of its features that guarantee uptime, make it easy to scale, enable Kafka to handle high volumes, and much more. In this article we will discuss the Top 10 Apache Kafka features to help you evaluate if Kafka is the right technology for your company’s business … Continue reading Top 10 Apache Kafka Features That Drive Its Popularity
Updated April 2022 Kafka topics are the categories used to organize messages. Each topic has a name that is unique across the entire Kafka cluster. Messages are sent to and read from specific topics. In other words, producers write data to topics, and consumers read data from topics. Kafka topics are multi-subscriber. This means that … Continue reading What is a Kafka Topic?
In this post we challenge the misconception that managed Kafka services need to be hosted on third party platforms.
Updated September 2022 Kafka’s primary role in many data architecture designs is ensuring that no data is lost. Databases can fail. Servers can fail. Applications can fail. But a well designed Kafka deployment should provide 24/7, reliable, fault-tolerant message collection and processing. One way to ensure an expertly designed and managed Kafka deployment is to … Continue reading Uptime Guarantees for Managed Kafka as a Service
Updated December 2021 A critical component to ensuring Kafka uptime and maintaining peak performance is through monitoring. Open source monitoring of disk performance, memory usage, CPU, network traffic, and load allow you to identify abnormal metrics in real-time and address potential issues before a performance dip or outage occurs. In other words, monitoring Apache Kafka … Continue reading Open Source Monitoring for Kafka
Updated April 2021 There are a handful of providers offering Kafka as a Service. If you are in the market for managed Kafka you might be wondering what factors to consider when choosing a provider. In this post, we break down the five most important considerations. #1 Is the service fully managed? If the service … Continue reading 5 Factors to Consider When Choosing a Kafka as a Service Provider
Updated February 2023 What is Kafka loading balancing? Load balancing with Kafka is a straightforward process and is handled by the Kafka producers by default. While it isn’t traditional load balancing, it does spread out the message load between partitions while preserving message ordering. Round-robin approach: By default, producers choose the partition assignment for each … Continue reading Load Balancing With Kafka
Updated January 2023 One aspect of Kafka that can cause some confusion for new users is the consumer offset. In this post, we define consumer offset and outline the factors that determine Kafka Consumer offset. Defining Kafka Consumer Offset The consumer offset is a way of tracking the sequential order in which messages are received … Continue reading Understanding Kafka Consumer Offset
Updated July 2022 ZooKeeper is used in distributed systems for service synchronization and as a naming registry. When working with Apache Kafka, ZooKeeper is primarily used to track the status of nodes in the Kafka cluster and maintain a list of Kafka topics and messages. Jump to info on using Kafka without ZooKeeper ZooKeeper … Continue reading What is ZooKeeper & How Does it Support Kafka?
Updated June 2022 Many companies leverage both Apache Kafka and the Elastic Stack (Elasticsearch, Logstash, and Kibana) for log and/or event processing. Kafka is often used as the transport layer, storing and processing data, typically large amounts of data. Kafka stages data before it makes its way to the Elastic Stack. Logstash transforms the data, … Continue reading Origins of Kafka and Why it Plays Well With Elasticsearch
Updated April 2021 Apache Kafka is a high-throughput, open source message queue used by Fortune 100 companies, government entities, and startups alike. Part of Kafka’s appeal is its wide array of use cases. In this post we will outline several of Kafka’s uses cases from event sourcing to tracking web activities to metrics and more. … Continue reading Kafka Use Cases
For Apache Kafka performance tuning measure latency and throughput for your Kafka implementation. Latency is the measure of how long it takes Kafka to process a single event. Throughput is the measure of how many events arrive within a particular period of time.
Updated July 2022 There are six key components to securing Kafka. These best practices will help you optimize Kafka and protect your data from avoidable exposure. #1 Encryption By default, data is plaintext in Kafka, which leaves it vulnerable to a man-in-the-middle attack as data is routed over your network. Transport layer security (TLS) and/or … Continue reading Kafka Optimization: Kafka Security Checklist
Updated February 2023 Apache Kafka is a distributed system, running in a cluster with each of the nodes referred to as brokers. Kafka topics are partitioned and replicated across the brokers throughout the entirety of the implementation. Why are Partitions Important? Partitions allow users to parallelize topics, meaning data for any topic can be divided … Continue reading Kafka Optimization — How many partitions are needed?
In this post, we will define what Kafka topics are and explain how to create them.
There are several message queue programs to choose from: Kafka, RabbitMQ, ActiveMQ, ZeroMQ, Redis, among others. How do you choose which is right for you?
Monitoring Kafka cluster performance is crucial for diagnosing system issues and preventing future problems. We recommend using Elasticsearch for Kafka monitoring because Elasticsearch is free and highly versatile as a single source of truth throughout any organization.
Our team is experienced with implementing and fixing Kafka on a wide-range of systems for an even wider-range of business needs. From our real-world experience with Kafka consulting, we found that there are common questions that many new clients have about the technology.
Here are some quick answers to those questions.
Issues with Apache Kafka performance are directly tied to system optimization and utilization. Here, we compiled the best practices for a high volume, clustered, general use case.
When companies scale, their data handling needs change, and systems that worked a year ago are now over-taxed with the increase in message volume. One particular component of the data handling system, the cluster architecture, should be revisited.