Real-Time Apache Kafka Streaming
Enterprise event streaming platform with Apache Kafka, Confluent Platform, and ksqlDB. Expert cluster design, producer/consumer optimization, Kafka Connect integration, and 24/7 support for mission-critical streaming data pipelines.
Core Capabilities
Kafka Core Mastery
Expert implementation of topic design, partition strategies, replication factors, ISR management, and log compaction for optimal throughput and durability.
Kafka Connect
Master 200+ connectors in distributed mode, custom connector development, exactly-once semantics, and seamless integration with databases, cloud storage, and SaaS platforms.
Kafka Streams & ksqlDB
Advanced stream processing with stateful transformations, windowing operations, stream-stream/stream-table joins, materialized views, and real-time analytics.
Confluent Platform
Enterprise-grade deployment with Schema Registry, Control Center monitoring, Cluster Linking for multi-region replication, Tiered Storage, and comprehensive Audit Logs.
Methodology
Discovery & Architecture
We analyze your streaming use cases, design optimal topic models, and architect cluster configurations with proper security, multi-DC replication, and disaster recovery strategies.
- Use Case Analysis & Requirements
- Topic Modeling & Partition Strategy
- Cluster Sizing & Multi-DC Design
Implementation & Migration
Deploy production-ready clusters with automated provisioning, implement producers/consumers with proper error handling, configure Kafka Connect pipelines, and establish comprehensive monitoring.
- Cluster Deployment & Configuration
- Producer/Consumer Development
- Kafka Connect Setup & Integration
Optimize & Scale
Continuous performance tuning, partition rebalancing, consumer lag monitoring, capacity planning, and automated disaster recovery with 24/7 cluster health monitoring.
- Throughput Tuning & Optimization
- Lag Monitoring & Alerting
- Capacity Planning & DR Testing
Technical Specifications
| Feature | Standard Tier | Enterprise Tier |
|---|---|---|
| Platform | Apache Kafka 3.x | Confluent Platform + Cloud |
| Architecture | Single-DC Cluster | Multi-Region + Cluster Linking |
| Stream Processing | Basic Monitoring | Schema Registry + ksqlDB |
| Management | Community Support | Control Center + Audit Logs |
| Support SLA | 1 Hour Response | 15 Min Response |
Industry Success
Global Payment Processor
Implemented multi-region Kafka cluster processing 5M transactions/day with exactly-once semantics, achieving 99.99% uptime and sub-100ms latency.
Supply Chain Platform
Deployed Kafka Connect with 50+ connectors for real-time inventory tracking, reducing data sync delays from hours to seconds across 200+ warehouses.
Network Monitoring System
Built ksqlDB streaming analytics platform processing 10M events/sec for real-time fraud detection, reducing detection time from 24 hours to under 5 seconds.
Ready to build real-time data pipelines?
Schedule a free 30-minute technical discovery call with a Senior Kafka Architect. No sales fluff, just engineering.
Advanced Kafka Technologies
Kafka Connect
Distributed connector framework with exactly-once delivery, single message transforms (SMTs), and custom connector SDK for seamless data integration.
- • 200+ pre-built connectors
- • Custom connector development
- • Exactly-once semantics
Schema Registry
Centralized schema management supporting Avro, Protobuf, and JSON Schema with built-in schema evolution and compatibility checking.
- • Schema versioning & evolution
- • Compatibility enforcement
- • Multiple format support
ksqlDB
SQL-like stream processing engine for stateful aggregations, windowing, push/pull queries, and seamless Kafka Connect integration.
- • Real-time SQL queries
- • Stateful transformations
- • Materialized views
Confluent Cloud
Fully-managed Kafka service with elastic clusters, global availability across AWS/Azure/GCP, and consumption-based pricing for operational efficiency.
- • Serverless Kafka clusters
- • Multi-cloud deployment
- • Usage-based billing
Security Features
Enterprise security with SASL/SSL authentication, granular ACLs, encryption at rest and in transit, and comprehensive audit logging.
- • SASL/SSL authentication
- • Role-based access control
- • End-to-end encryption
Cluster Linking
Active-active multi-datacenter replication for disaster recovery, data migration, hybrid cloud architectures, and geo-distributed deployments.
- • Multi-region replication
- • Zero-downtime migration
- • Hybrid cloud support
Comprehensive Service Tiers
Essential
For small to medium workloads
- ✓Apache Kafka 3.x cluster
- ✓Single-datacenter deployment
- ✓Basic topic management
- ✓Consumer lag monitoring
- ✓Standard replication (RF=3)
- ✓Business hours support
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MOST POPULAR
Professional
For production streaming systems
- ✓All Essential features plus:
- ✓Confluent Platform deployment
- ✓Schema Registry integration
- ✓Kafka Connect pipelines
- ✓Control Center monitoring
- ✓24/7 cluster monitoring
- ✓1-hour response SLA
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Enterprise
Maximum scale & reliability
- ✓All Professional features plus:
- ✓Multi-region Cluster Linking
- ✓ksqlDB stream processing
- ✓Tiered Storage optimization
- ✓Advanced security & audit logs
- ✓Disaster recovery automation
- ✓15-min response SLA
- ✓Dedicated Kafka architect
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Why Choose SubscribeIT for Kafka?
Confluent Specialists Kafka Architects
Our team holds multiple Confluent certifications including Kafka Administrator, Kafka Developer, and ksqlDB Developer credentials with 10+ years average experience.
10+ Years Kafka Expertise
Deep expertise spanning Apache Kafka evolution from early versions to 3.x, Confluent Platform deployments, and cloud-native streaming architectures across all major industries.
Streaming Architecture Specialists
Expert architectural design for event-driven systems, CQRS patterns, event sourcing, microservices integration, and real-time analytics platforms at massive scale.
Performance Tuning & Optimization
Advanced optimization of producer/consumer configurations, partition strategies, compression algorithms, and cluster tuning to achieve millions of messages per second throughput.
Multi-DC & DR Strategies
Enterprise disaster recovery with Cluster Linking, MirrorMaker 2, active-active replication, geo-distributed deployments, and automated failover mechanisms for business continuity.
24/7 Cluster Monitoring & Support
Proactive monitoring of cluster health, consumer lag, partition leadership, disk utilization, and network metrics with automated alerting and rapid incident response.
Technology Stack & Integrations
We Work With Your Entire Kafka Ecosystem
Frequently Asked Questions
What are the primary use cases for Apache Kafka?▼
Kafka excels at real-time data pipelines, event streaming, log aggregation, metrics collection, microservices communication, CQRS/event sourcing, change data capture (CDC), IoT data ingestion, and real-time analytics. We architect solutions for all these patterns with optimal performance and reliability.
What’s the difference between Apache Kafka and Confluent Platform?▼
Apache Kafka is the open-source core, while Confluent Platform adds enterprise features including Schema Registry, ksqlDB, Control Center monitoring, Cluster Linking, Tiered Storage, advanced security, and commercial support. We help evaluate which approach fits your requirements and budget.
How do you size and architect Kafka clusters?▼
We analyze expected throughput (MB/s), message retention, replication factor, partition count, consumer groups, and growth projections. This drives broker count, disk capacity, network bandwidth, and memory requirements. We design for headroom (typically 2-3x peak load) and plan scaling strategies from day one.
Can Kafka guarantee exactly-once message processing?▼
Yes. Kafka supports exactly-once semantics (EOS) through idempotent producers and transactional writes. We implement proper producer configuration (enable.idempotence=true), transactional APIs, and consumer isolation levels. This ensures no duplicate processing even during failures, critical for financial and mission-critical systems.
How do you handle multi-datacenter replication and disaster recovery?▼
We implement multi-DC strategies using Confluent Cluster Linking (active-active or active-passive), MirrorMaker 2 for open-source deployments, or Confluent Replicator. This includes topic whitelisting, offset translation, consumer group migration, and automated failover procedures with regular DR testing.
What’s your approach to migrating from legacy message brokers to Kafka?▼
We execute phased migrations with parallel running during transition. This includes message pattern mapping (queue vs topic semantics), bridge connectors for dual-write, consumer migration with monitoring, gradual traffic cutover, and rollback procedures. We’ve migrated from RabbitMQ, ActiveMQ, IBM MQ, and proprietary systems with zero data loss.