Power Real-Time Event Streaming, AI Context Pipelines, and Decoupled Data Architectures With Apache Kafka.

Enterprise event-driven architecture, high-throughput streaming, KRaft consensus metadata, KIP-932 point-to-point share queues, KIP-848 next-gen consumer protocols, and tiered object storage engineered with Apache Kafka 4.x, Kafka Streams, Kafka Connect, and Schema Registry.

Build With Apache Kafka

Why Apache Kafka for AI/ML & Data

Native ZooKeeper-Free KRaft Architecture

run simplified, highly scalable cluster topologies with metadata handled directly by internal Raft controller quorums, eliminating ZooKeeper operational overhead

Unified Event Streaming & Point-to-Point Queueing

combine traditional log-based event streaming with native queueing semantics (KIP-932 Share Groups) for per-message acknowledgments on shared topics

Sub-Second Rebalances & High Concurrency

leverage the next-generation consumer group protocol (KIP-848) to reduce consumer rebalance times from minutes to milliseconds during node auto-scaling

Tiered Storage & Lakehouse Sync

offload cold log segments seamlessly to cloud object storage (S3, GCS, Azure Blob) and stream directly into open table formats (Apache Iceberg, Delta Lake)

Build With Kafka

What We Build With
Apache Kafka

Real-Time Data Lakehouse Ingestion & CDC Pipelines

Lakehouse Ingestion & CDC

sub-second Change Data Capture (CDC) streaming from transactional databases (PostgreSQL, MySQL, Oracle) into cloud data warehouses via Kafka Connect

Lakehouse Ingestion & CDC
Real-Time AI Agent Context Engines & RAG Pipelines

AI Agent Context Engines

Microservices Decoupling & Async Messaging

Microservices Decoupling

Stateful Stream Processing & Analytics

Stream Processing & Analytics

High-Throughput Financial & IoT Telemetry Engines

IoT Telemetry Engines

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Apache Kafka & Data Expertise at StackDot

Cluster Topologies & KRaft Deployment Architecture – designing resilient.
Schema Registry & API Governance – enforcing strict enterprise data governance
Kafka Streams & Complex Transformation Logic – authoring stateless and stateful.
Kafka Connect Ecosystem Customization – configuring high-throughput Source/Sink.
Observability, Tracing & Drift Monitoring – integrating broker and client.
Talk to an Event Streaming Architect

Where Apache Kafka Fits Best

Enterprise Event-Driven Microservices & CDC

We deliver tailored digital transformation, custom software, and AI-driven solutions designed specifically for enterprise event-driven microservices & cdc enterprises.

Enterprise Event-Driven Microservices & CDC
Real-Time Context Delivery for AI & LLM Agents

We deliver tailored digital transformation, custom software, and AI-driven solutions designed specifically for real-time context delivery for ai & llm agents enterprises.

Real-Time Context Delivery for AI & LLM Agents
High-Throughput Analytics & Stream Processing

We deliver tailored digital transformation, custom software, and AI-driven solutions designed specifically for high-throughput analytics & stream processing enterprises.

High-Throughput Analytics & Stream Processing
Point-to-Point Messaging via Share Groups

We deliver tailored digital transformation, custom software, and AI-driven solutions designed specifically for point-to-point messaging via share groups enterprises.

Point-to-Point Messaging via Share Groups
Decoupled Cross-Cloud Data Pipelines

We deliver tailored digital transformation, custom software, and AI-driven solutions designed specifically for decoupled cross-cloud data pipelines enterprises.

Decoupled Cross-Cloud Data Pipelines
Log-Centric Enterprise Audit & Telemetry

We deliver tailored digital transformation, custom software, and AI-driven solutions designed specifically for log-centric enterprise audit & telemetry enterprises.

Log-Centric Enterprise Audit & Telemetry

Why StackDot for Apache Kafka Engineering

Modern KRaft & 4.x Architecture Expertise

building future-proof Kafka platforms utilizing the latest consensus, consumer group protocols, and tiered storage capabilities

Proactive Storage & Compute FinOps

cutting cloud broker storage bills significantly by configuring aggressive tiered storage policies and optimal partition packing

Resilient Zero-Downtime Migration Services

executing seamless migrations from legacy ZooKeeper-dependent clusters or self-hosted Kafka to KRaft, Confluent Cloud, or AWS MSK

End-to-End Streaming Platform Integration

connecting Kafka streams natively with real-time analytics engines (Apache Flink), enterprise data lakes (Iceberg), and vector databases

Ready to Architect Your Real-Time Event Streaming Backbone With Apache Kafka?

Enterprise event-driven architecture, high-throughput streaming, KRaft consensus metadata, KIP-932 point-to-point share queues, KIP-848 next-gen consumer protocols, and tiered object storage engineered with Apache Kafka 4.x, Kafka Streams, Kafka Connect, and Schema Registry.