DevOps
DevOps is the combination of cultural philosophies, practices, and tools that increases an organization s ability to deliver applications and services at high velocity.
Leverage IOTASCALE's skills to enhance your organizational ability to deliver high-velocity software solutions and maximize the benefits of your IT investment.
Apache Kafka is an open-source distributed event streaming platform used by thousands of companies for high-performance data pipelines, streaming analytics, data integration, and mission-critical applications.
Kafka features:
- Apache Kafka offers low latency value, i.e., upto 10 milliseconds. It is because it decouples the message which lets the consumer to consume that message anytime.
- Kafka uses batch-like use cases. It can also work like an ETL tool because of its data persistence capability.
- Apache Kafka is able to handle real-time data pipeline. Building a real-time data pipeline includes processors, analytics, storage, etc.
- Apache Kafka contains a distributed architecture which makes it scalable. Partitioning and replication are the two capabilities under the distributed system.
- Kafka offers the replication feature, which makes data or messages to persist more on the cluster over a disk. This makes it durable.
- Due to low latency, Kafka is able to handle more number of messages of high volume and high velocity. Kafka can support thousands of messages in a second. Many companies such as Uber use Kafka to load a high volume of data.
Kafka is able to support publish-subscribe patterns while also being able to scale out across multiple servers and replay messages.
With Kafka, you can still scale your system to enable parallel processing, but you can also add different kinds of consumers that execute various types of logic when a single event occurs.