Should I use Kafka for logging?

There are plenty of valid reasons why organizations use Kafka to broker log data. Using Kafka ensures your logging solution can process each event without being overwhelmed and dropping messages or placing back pressure on log producers. This is made possible through Kafka’s publish–subscribe (pub/sub) model.

What is a log Kafka?

Apache Kafka logs are a collection of various data segments present on your disk, having a name as that of a form-topic partition or any specific topic-partition. Each Kafka log provides a logical representation of a unique topic-based partitioning.

Can Kafka be used for ETL?

Organisations use Kafka for a variety of applications such as building ETL pipelines, data synchronisation, real-time streaming and much more.

What can I build with Kafka?

In sum, Kafka can act as a publisher/subscriber kind of system, used for building a read-and-write stream for batch data just like RabbitMQ. It can also be used for building highly resilient, scalable, real-time streaming and processing applications.

Do we need zookeeper for running Kafka?

Yes, Zookeeper is must by design for Kafka. Because Zookeeper has the responsibility a kind of managing Kafka cluster. It has list of all Kafka brokers with it. It notifies Kafka, if any broker goes down, or partition goes down or new broker is up or partition is up.

Which database is best for logging?

I have done some research on NoSQL databases for logging and found that MongoDB seems to be a good choice. Also, I found log4mongo-net which seems to be a very straightforward option.

How does LinkedIn use Kafka?

Kafka forms the backbone of operations at LinkedIn. Most of the data communication between different services within the LinkedIn environment utilizes Kafka. It is used explicitly in use cases like database replication, stream processing, and data ingestion.

Can I use Kafka as database?

The main idea behind Kafka is to continuously process streaming data; with additional options to query stored data. Kafka is good enough as database for some use cases. However, the query capabilities of Kafka are not good enough for some other use cases.

Can Kafka be used as database?

Apache Kafka is a database. It provides ACID guarantees and is used in hundreds of companies for mission-critical deployments. However, in many cases, Kafka is not competitive to other databases.

What are Kafka brokers?

A Kafka broker allows consumers to fetch messages by topic, partition and offset. Kafka brokers can create a Kafka cluster by sharing information between each other directly or indirectly using Zookeeper. A Kafka cluster has exactly one broker that acts as the Controller.

What is Kafka log in Apache Kafka?

Each Kafka log provides a logical representation of a unique topic-based partitioning. Apache Kafka allows you to replicate data nodes by committing an external log for a distributed system, allowing you to not only read data but also restore data when required.

Why do people use Kafka for logging?

Many people use Kafka as a replacement for a log aggregation solution. Log aggregation typically collects physical log files off servers and puts them in a central place (a file server or HDFS perhaps) for processing. Kafka abstracts away the details of files and gives a cleaner abstraction of log or event data as a stream of messages.

Why is Apache Kafka the de facto standard for microservices?

The main reason why Apache Kafka became the de facto standard for microservices is its combination of three powerful concepts: Publish and subscribe to streams of events, similar to a message queue or enterprise messaging system Store streams of events in a fault-tolerant way Process streams of events in real time, as they occur

What is Event Sourcing in Kafka?

Event sourcing is a style of application design where state changes are logged as a time-ordered sequence of records. Kafka’s support for very large stored log data makes it an excellent backend for an application built in this style. Kafka can serve as a kind of external commit-log for a distributed system.