Analytics with Kafka

Apache Kafka is a distributed, scalable and open-source platform. It is used to create data processing pipelines, and streaming and real-time data applications. Its system is well-known for making it easy to handle large databases in real time. It is compatible with a wide range of programming languages (frameworks) - such as Python, Query, PHP, Java, and Ruby.

The incoming data that passes through this system is arranged into ‘topics’, which can be structured according to the type of collected data they contain. Apache Kafka’s clustered architecture is orchestrated by a timestamp that sorts this data and replicates it before distributing it.

The sources publishing data in these topics are called ‘producers’ or ‘publishers’. Those who read this data are ‘consumers’ or ‘subscribers’. They can both access the platform’s Java library: Kafka Stream.

This way, it uses queues to manage the data streams between these sources without overloading them. This solution is capable of distributing information between different systems (such as servers, data storage spaces, and relational databases, etc.). Large volumes of data generated by big data, machine learning, etc., can be processed through this centralised management.

This solution is ideal for applications that require fast live-data analysis. Its role as an intermediary in centralised message processing also allows for better management of your information.

OVHcloud Managed Kafka is a managed Apache Kafka service. It is one of the managed services available on our Public Cloud. Its purpose is to save you time, since we take care of your database’s management and administration.

Discover deployment resilience in our dedicated guide.

1-AZ regions use a single availability zone with one or more datacentres. While they offer protection against server and driver failures, they can be vulnerable to datacentre failures, which in turn can cause access issues.

In comparison, 3-AZ regions provide true fault isolation with 3 independent availability zones, each with isolated power, cooling, and network. This architecture means that services remain available even in the event of an entire zone failure.

Get peace of mind with 99.99% SLAs.

Yes! It is certainly possible to migrate from a 1-AZ region to a 3-AZ region.

You can connect 1-AZ regions to 3-AZ regions via private connectivity to optimise the complexity and cost of your infrastructure deployments.