Enterprise Kafka Managed Services on Kubernetes
For financial services, healthcare, and telecom: Enterprise Kafka on Red Hat Streams with 24/7 managed operations. Red Hat Advanced Partner delivering 531% ROI.
Event-Driven Readiness Score
How far are you from real-time enterprise architecture?
Challenges in Enterprise Kafka Adoption
From infrastructure chaos to control—Managed Kafka designed for velocity and ROI.
Integration takes weeks
Apache Kafka as an event backbone reduces integration time by 60%. By decoupling systems via persistent topics and Apicurio Registry contracts, services publish events once instead of maintaining brittle point-to-point connections. Kafka Connect standardizes integrations across 10+ systems.
Without this approach, teams spend 60% of time debugging data flows. Every new integration requires modifying 4-7 existing connections. Brittle REST APIs and nightly ETL jobs create constant bottlenecks.
Real-Time Demands
Your overnight ETL pipelines miss critical windows. Fraud detection runs 12 hours behind. Customer dashboards show yesterday’s data. Business teams are demanding instant visibility, but your architecture wasn’t built for real-time.
Apache Kafka handles millions of events per second with sub-10ms latency. Pub/Sub model enables real-time analytics, instant fraud detection, and live dashboards. Tiered Storage keeps historical data accessible without exploding costs. Transform batch → streaming.
Kafka Operational Complexity
You know Kafka solves the problem, but operating it is daunting. ZooKeeper configuration is complex. Rolling upgrades risk downtime. Rebalancing during traffic spikes causes outages. Your team lacks deep Kafka expertise, and hiring is expensive.
Strimzi Operator automates the entire lifecycle on Kubernetes/OpenShift. Zero-downtime rolling upgrades. Cruise Control handles rebalancing automatically. KRaft eliminates ZooKeeper dependency. We manage everything 24/7 with proactive monitoring.
Compliance & Security
Your compliance team demands FIPS 140-2 validated cryptography, full audit trails, and enterprise SLAs. Community Kafka has none of these. AWS MSK or Confluent Cloud create vendor lock-in and miss on-premises requirements. You’re stuck.
Red Hat Streams is FIPS-validated, hardened, and enterprise-supported. Built-in mTLS, RBAC, and OAuth2/OIDC integration. Full audit logging. Deploy on-premises or hybrid cloud with consistent security. Pass SOC 2, PCI-DSS, and HIPAA audits.
Enterprise-Grade Kafka Orchestration
Red Hat Streams on OpenShift
Enterprise-grade Apache Kafka distribution with commercial support and security hardening. Unlike community Kafka, includes FIPS 140-2 validation, Red Hat SSO integration, and 24/7 enterprise SLA. Runs natively on OpenShift with operator-driven automation.
Pass compliance audits without custom tooling. Sleep soundly knowing production Kafka has enterprise backing. Reduce security incidents by 70%.
Strimzi Operator & Automation
Kubernetes-native Strimzi Operator managing complete Kafka lifecycle with GitOps workflows. Operator Pattern encodes operational knowledge into code. Reconciliation loops continuously ensure desired state. Cruise Control automates cluster rebalancing. Zero-downtime upgrades via StrimziPodSets.
Eliminate manual operations. Your team focuses on business logic, not infrastructure babysitting. Reduce operational overhead by 40%.
24/7 Managed Services
Proactive monitoring, incident response, capacity planning, and continuous optimization by certified Red Hat engineers. US-based on-call team. Prometheus/Grafana monitorin. Consumer Lag tracking. In-Sync Replica (ISR) health checks. Automated alerting and remediation.
99.9% uptime SLA. Faster incident resolution. Predictable costs. Free your internal team for strategic work.
Complete Kafka Lifecycle Management
From strategic roadmap to daily operations – we cover the full lifecycle.
Architecture & Design
Feature: Current state assessment, event-driven architecture design, migration roadmap, capacity planning
Advantage: We analyze your existing integrations, identify CDC candidates with Debezium, design topic structures, and plan partition strategies for optimal throughput
Clear path to real-time data platform. Avoid costly mistakes. ROI projection before spending a dollar.
Implementation & Migration
Feature: Red Hat Streams deployment, Kafka Connect configuration, Apicurio Registry setup, CI/CD integration
Advantage: We deploy on your OpenShift cluster or provision new infrastructure. Configure Strimzi Operator, integrate with Red Hat SSO, establish GitOps workflows
Production-ready in 8-12 weeks. Zero-downtime migration. Developers trained and productive from day one.
Managed Services 24/7
Feature: Proactive monitoring, incident response, performance optimization, security patching, capacity management
Advantage: Certified Red Hat engineers manage etcd health, kube_proxy configuration, Cruise Control rebalancing, KRaft migration, and zero_copy optimization
99.9% uptime guarantee. Response time < 15 minutes (SLA). $200K+ annual savings vs DIY. Focus on business logic, not infrastructure.
Training & Enablement
Feature: Developer workshops, admin training, architecture certification prep, best practices documentation
Advantage: Hands-on training on Kafka Streams, Kafka Connect, Debezium CDC, Apicurio Schema evolution, MirrorMaker disaster recovery
Self-sufficient teams. Reduced dependency on consultants. Faster feature delivery.
Why Kafka with Inteca?
Enterprise Kafka with security, flexibility, and velocity built-in.
Event-Driven Architecture
Transform point-to-point integrations into scalable pub/sub architecture with persistent event streaming.
Apache Kafka’s distributed partitioning enables horizontal scaling. Consumer Groups allow multiple applications to process the same events independently. Topic replication ensures fault tolerance.
Add new consumers without touching producers. Enable real-time analytics, fraud detection, and customer notifications from the same event stream.
Reduce integration complexity by 60%.
Operational Automation
Kubernetes-native Strimzi Operator manages complete lifecycle with GitOps declarative configuration.
Reconciliation loops continuously monitor cluster health. Cruise Control automates partition rebalancing. Operator Pattern encodes expert knowledge. KRaft eliminates ZooKeeper complexity. Sequential I/O optimization via batch_size and linger_ms tuning.
Eliminate manual operations. Zero-downtime upgrades. Self-healing clusters. Reduce operational overhead by 40%. Your team focuses on features, not infrastructure.
Security & Compliance
Built on hardened Red Hat Streams with FIPS 140-2 validated cryptography and comprehensive audit trails.
mTLS encryption intransit. RBAC with OAuth2/OIDC integration via Red Hat SSO. Full audit logging. Operator Lifecycle Manager (OLM) ensures validated components only. CRI-O runtime on immutable RHCOS.
Pass SOC 2, PCI-DSS, and HIPAA audits without custom tooling. Reduce security incidents 70%. Meet data residency requirements with on-premises deployment.
Integration Ecosystem
Comprehensive integration toolkit: Debezium for CDC, Kafka Connect for systems integration, Apicurio Registry for schema governance.
Debezium captures database changes in real-time without application code changes. Kafka Connect provides 100+ pre-built connectors. Apicurio Registry enforces Avro/Protobuf/JSON schemas with compatibility checks. MirrorMaker enables disaster recovery across clusters.
Modernize legacy systems without re-platforming. Stream data from Oracle, SQL Server, MongoDB in real-time. Prevent breaking changes with schema validation. Enable multi-region DR.
Real Transformation: From Manual Deployments to Daily Releases
How a US regional bank modernized operations in 90 days.
Before: Quarter 1
Drowning in Technical Debt
A regional bank with 3,500 employees struggled with 15-year-old monolithic core banking system. Nightly batch jobs took 8-12 hours. Fraud detection ran 18 hours behind real-time. Developers waited 4-5 days for test environments. Point-to-point integrations across 12 systems required manual coordination.
Bridge: Quarter 2-3
90-Day Platform Modernization
Inteca conducted 2-week assessment, revealing 75% of workloads were event streaming candidates. We designed event-driven architecture with Apache Kafka backbone, Debezium CDC from legacy Oracle databases, and Apicurio Registry for schema governance.
After: Today
Real-Time Banking at Scale
Today, the platform processes 2M+ transactions daily with 99.95% uptime. Fraud detection is real-time (< 500ms). Developers provision environments in under 10 minutes. New integrations deploy in hours, not weeks.
faster release cycles
uptime
“We broke even in 6 months. Kafka is now our nervous system – every system publishes events, and we can react instantly. Our fraud team prevented $4.2M in losses last quarter alone.”
— VP of Technology, European Bank
Red Hat Certified Kafka Expertise
Delivering enterprise OpenShift solutions since 2018
Red Hat Advanced Consulting Partner
Successful Kafka
Implementations
Certified Engineers
Kafka & Openshift specialists
Years of Kafka Expertise
Trusted Across Industries
Common Questions about Managed Kafka Services
Key architectural decisions, licensing optimization, and security standards.
Schedule a free Kafka readiness assessment – discover your ROI in 30 minutes.
Free Kafka Assessment Includes:
⏱️30-minute video call | Scheduled within 48 hours
Zero sales pressure. Just expert guidance to help you make informed decisions.
