Search for a command to run...
Yusuf Adeyemo is a DevOps Engineer from Nigeria. He loves helping startups deliver better software and provide more control over their environment and software development process with the help of modern tools and automation.
No comments yet. Be the first to comment.
We’ve all been there. You spend hours perfectly tuning your OpenWrt configuration, setting up your captive portals, and hardening your firewall. Then, six months later, the system hangs. Why? Because
This article started from a tweet. Someone on Twitter said they "lowkey want to understand the technology behind Google Authenticator" and I dropped a quick reply - explaining that it's basically TOTP: your device and the server share a secret key, b...
Have you ever sat there waiting for your CodeBuild project to rebuild your entire Docker image... again? Even though you only changed a single line of code? Yeah, me too. And it's frustrating. Today, I'm going to show you how I reduced our Docker bui...
After you complete this article, you will have a solid understanding of: Why deploying Next.js SSR on Cloudflare is different from traditional hosting The real difference between Cloudflare Pages with next-on-pages and OpenNext adapter How the fre...
After you complete this article, you will have a solid understanding of: What L1, L2, and L3 constructs actually are and when to use each Why AWS created three different abstraction levels (and the hidden benefits) How to avoid the most common CDK...
Kafka consumer offset is a critical concept in Apache Kafka, a popular distributed streaming platform. In simple terms, an offset is a unique identifier that denotes a position in a Kafka topic partition. When a consumer group consumes messages from a topic partition, it stores the offset of the last message it has read from that partition. This is known as the consumer group's current offset.
The current offset is important because it allows the consumer group to track its progress in the topic partition. It also enables the consumer group to resume reading from the partition at the last recorded offset in case of failure or rebalancing.
Imagine a Kafka topic partition as a book. The offset is like a bookmark that keeps track of the last page you have read in the book. When you resume reading the book, you can pick it up from the page marked by the bookmark. This is similar to how a consumer group uses the offset to resume consuming messages from a topic partition.
However, it is important to note that the offset is only stored by the consumer group, not by Kafka itself. This means that if the consumer group fails or is deleted, the offset information is also lost. This can result in the consumer group starting from the beginning of the topic partition when it is restarted, potentially leading to duplicate messages being processed.
To prevent this, Kafka provides a feature called offset commit. This allows the consumer group to periodically commit its current offset to persistent storage, such as Apache Zookeeper or Kafka's built-in offset storage. This ensures that the consumer group can resume from the last committed offset in case of failure or rebalancing.
In summary, Kafka consumer offset is a unique identifier that denotes the position of a consumer group in a Kafka topic partition. It allows the consumer group to track its progress and resume consuming messages from the partition in case of failure or rebalancing. By committing the offset to persistent storage, the consumer group can ensure that its progress is not lost.
