Real-time Analytics - Kafka, Spark Streaming, Event-Driven Architecture

Real-time Services

Kafka Stream Processing

Build scalable event streaming platforms with Apache Kafka

Topic design & partitioning
Producer/Consumer setup
Stream processing with Kafka Streams
Schema registry integration

Real-time Dashboards

Live data visualization with sub-second latency

WebSocket integration
Streaming aggregations
Real-time alerts
Custom KPI tracking

Event-Driven Architectures

Microservices communication via events and message queues

Event sourcing patterns
CQRS implementation
Saga orchestration
Dead letter queue handling

Data Streaming Pipelines

End-to-end streaming data pipelines with Spark, Flink, or Dataflow

Windowing & aggregations
Stateful processing
Exactly-once semantics
Backpressure handling

Real-time Use Cases

Fraud Detection

Detect fraudulent transactions in real-time before processing

Reduce fraud losses by 80%

Live Dashboards

Executive dashboards with live metrics and KPIs

Make decisions 10x faster

Real-time Recommendations

Product recommendations based on current user behavior

Increase conversions by 30%

IoT Data Processing

Process sensor data from thousands of devices

Sub-second latency at scale

Log Aggregation

Centralized logging with real-time search and alerts

Debug issues 5x faster

CDC (Change Data Capture)

Sync database changes across systems in real-time

Always up-to-date data

Real-time Analytics Pricing

From proof of concept to production-grade streaming platforms

Proof of Concept

R$ 12.000

Validate streaming architecture

Single use case
Kafka cluster setup
Basic monitoring
4 weeks implementation

Best Value

Production Deployment

R$ 35.000

Full streaming platform

Multi-topic architecture
High availability setup
Advanced monitoring
8-12 weeks implementation
Team training

Enterprise Streaming

Custom

Mission-critical systems

Multi-region deployment
Disaster recovery
24/7 monitoring
Dedicated SRE support
SLA guarantees

Real-time Analytics Implementation