Stream Processing Experts
- Kafka ecosystem architecture from the ground up
- Project recovery for legacy or struggling deployments
- Distributed platforms, big data, cloud, ML & advanced analytics



Open-source Kafka remains an excellent choice for many use cases. However, in regulated environments, large-scale deployments, or systems with strict availability and security requirements, the Confluent Platform is worth considering. It introduces several powerful features that go beyond open-source Apache Kafka, particularly in the areas of:
1. Cluster Sizing & Topology
Designing resilient, high-throughput Kafka deployments across cloud (AWS, GCP, Azure), on-premises, or hybrid environments.
2. High Availability & Disaster Recovery
Implementing multi-datacenter setups like Confluent Stretched Clusters, Active-Active, or MirrorMaker 2 topologies to meet strict Recovery Point (RPO) and Recovery Time Objectives (RTO).
3. KRaft Upgrades
Executing zero-downtime migrations from ZooKeeper to KRaft for metadata management.
4. Real-Time Applications
Building end-to-end stream processing applications using Kafka Streams, Apache Flink, and ksqlDB (for use cases like fraud detection, dynamic pricing, and real-time analytics).
5. Ecosystem Integration
Setting up Kafka Connect, custom connectors, and Schema Registry to integrate streaming data with legacy databases, data lakes, and SaaS platforms.
6. Consumer Lag & Bottleneck Remediation
Diagnosing and resolving consumer group lag, memory/GC bottlenecks, and network/disk IOPS constraints.
7. Self-Balancing & Partition Strategy
Designing topic partitioning strategies and configuring automated balancing features to eliminate broker hot-spots.
8. Cost Optimization
Optimizing data retention, storage tiers, and cluster capacity to reduce cloud and licensing overhead.
9. Banking-Grade Security
Implementing mTLS authentication, RBAC, ACLs, and data encryption at rest and in transit.
10. Regulatory Alignment
Ensuring streaming pipelines comply with GDPR, HIPAA, PCI-DSS, and ISO 27001 standards through audit logging and lineage tracking.
11. Observability Setup
Integrating metrics, logs, and tracing using tools like Prometheus, Grafana, OpenTelemetry, and Confluent Control Center.
12. 24/7 Production Support
Offering SLA-backed incident response, health checks, automated alerts, and continuous maintenance.
Confluent is an enterprise-level distribution of Apache Kafka created to address the operational and management gaps of open-source Kafka. It delivers an all-in-one ecosystem for building Universal Data Pipelines, complete with advanced security, management tools, and pre-built integrations that transform standard messaging brokers into a complete data platform.
In simple terms, Apache Kafka acts as the core engine, while Confluent represents the complete, fully equipped vehicle built around it. Kafka provides the foundational pub-sub messaging and distributed log storage, whereas Confluent equips teams with operational management tools (Control Center), security features (RBAC and detailed Audit Logging), and stream-processing engine enhancements (ksqlDB, pre-built connectors) necessary for mission-critical enterprise environments.
SoftwareMill, a VirtusLab company, stands out as Poland's sole Confluent Elite Partner and one of just a handpicked few across Europe. Over 80% of our team members are senior engineers averaging ~13 years of field experience. Beyond core development, we provide strategic architectural reviews, rescue struggling data initiatives, and focus on delivering a clear business return on investment.
We deliver end-to-end architectural and development consulting: designing fault-tolerant systems, automating cloud infrastructure via GitOps, and creating customized real-time stream processing applications using Kafka Streams or Apache Flink. We also provide 24/7 technical advisory and proactive monitoring to help maintain five-nines (99.999%) platform availability.
The key distinctions revolve around operational stability, performance, and compliance readiness: