Kafka
Kafka is an open source platform designed to publish, store, and process streams of data in real-time, in systems requiring fast and reliable processing. Capable of handling millions of messages per second, Kafka is highly scalable. It is fault-tolerant, has high throughput and low latency, and can retain messages after consumption.
80%
of 100 Fortune companies use Kafka.
Billions
messages processed per day.
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Real-time processing of data streams
Collection, processing, and dissemination of data in real time.
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Integration of microservices
Event bus that connects different parts of microservices, to exchange these events without having to manage the communication between them.
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Monitoring and logging
Collection and processing of logs and metrics, notably with Elastic Search.
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Processing financial transactions
Each event is captured in real-time in a reliable data stream, allowing for transaction management. -
ETL Process
Real-time extraction, transformation, and loading from various sources into the database.
TimActive expertise
Capture and centralization of data from multiple IT sources (orders, logs, customers)
Real-time analysis of transaction data, web traffic, or user behaviors
Detection and real-time management of anomalies for IoT or e-commerce systems
Facilitation of asynchronous communication between microservices within distributed applications
Management of event workflows, such as order tracking or payment management
Integration of Kafka with Elastic Search or Grafana to visualize real-time data
Implementation of systems to anonymize or encrypt sensitive data in Kafka
Monitoring cluster performance and optimizing their configuration