Traditional batch processing models are no longer sufficient for businesses that depend on instant insights and rapid responsiveness. This course provides participants with the technical expertise to design, build, and manage event streaming and microservices architectures that power real-time data-driven applications.
The course introduces the fundamentals of event-driven systems, covering how data is produced, ingested, processed, and consumed across distributed systems. Participants will explore technologies like Apache Kafka, message brokers, and event streaming platforms while understanding the principles of microservices as a foundation for scalable, modular, and resilient systems.
Hands-on practice is central to the program. Learners will implement real-time pipelines, integrate microservices with event streams, and orchestrate event-driven workflows for critical use cases such as fraud detection, IoT analytics, financial transactions, and personalized customer experiences. By working through applied examples, participants gain the confidence to deploy production-ready systems.
The training also emphasizes architectural best practices, including fault tolerance, scalability, data consistency, and security in streaming environments. Students will learn to design robust systems that adapt to high-volume data streams while maintaining business continuity and compliance with enterprise standards.
Finally, the course addresses emerging trends and challenges in event streaming and microservices, such as cloud-native deployments, event mesh architectures, serverless computing, and real-time AI integration. By the end of the course, participants will be equipped with advanced skills to architect and implement systems that transform raw data into actionable insights in real time.
Who Should Attend
- Data engineers building real-time data pipelines.
- Software developers transitioning into event-driven architectures.
- Cloud engineers managing microservices and streaming platforms.
- Enterprise architects designing resilient, modular systems.
- IT operations teams overseeing large-scale data infrastructure.
- Data scientists and analysts requiring real-time data access.
- System integrators implementing streaming solutions.
- Technical consultants working on digital transformation projects.
- Project managers leading real-time analytics initiatives.
- Professionals in finance, telecom, IoT, and e-commerce industries.
Duration
5 days
Course Objectives
By the end of this course, participants will be able to:
- Understand the fundamentals of event-driven architecture and microservices.
- Design and implement real-time event streaming pipelines.
- Leverage Apache Kafka and other streaming platforms for data ingestion.
- Integrate microservices with streaming data flows.
- Build fault-tolerant, scalable, and resilient architectures.
- Manage data consistency and reliability in streaming environments.
- Apply event streaming to use cases like IoT, payments, and analytics.
- Deploy event-driven systems on cloud and hybrid infrastructures.
- Secure streaming architectures with enterprise-grade best practices.
- Explore emerging trends such as serverless, event mesh, and AI integration.
Comprehensive Course Outline
Module 1: Foundations of Event Streaming and Microservices
- Principles of event-driven architecture.
- Introduction to microservices and their benefits.
- Comparing batch vs. streaming data processing.
- Use cases for real-time data architectures.
Module 2: Core Technologies for Event Streaming
- Apache Kafka fundamentals and architecture.
- Message brokers and pub/sub systems.
- Event sourcing and CQRS patterns.
- Evaluating streaming platforms and frameworks.
Module 3: Microservices Design Principles
- Decomposition strategies for microservices.
- Communication patterns: REST, gRPC, and event-driven APIs.
- Data management in distributed systems.
- Containerization and deployment of microservices.
Module 4: Building Real-Time Pipelines
- Ingesting and processing event streams.
- Stream transformations and aggregations.
- Integrating multiple data sources in real-time.
- Ensuring high throughput and low latency.
Module 5: Orchestration and Integration
- Service orchestration and choreography.
- Event-driven workflows in enterprise systems.
- Integrating microservices with legacy systems.
- Tools for workflow automation (Airflow, Kubernetes).
Module 6: Resilience, Fault Tolerance, and Scalability
- Designing fault-tolerant event streaming systems.
- Auto-scaling strategies for microservices.
- Load balancing in distributed environments.
- Ensuring zero downtime in mission-critical pipelines.
Module 7: Security and Governance in Streaming Systems
- Authentication and authorization in event-driven systems.
- Data encryption and privacy in real-time pipelines.
- Governance for event-driven data architectures.
- Compliance considerations in financial and regulated sectors.
Module 8: Advanced Streaming Use Cases
- Real-time analytics and dashboards.
- Fraud detection and anomaly monitoring.
- IoT event processing at scale.
- Customer personalization using real-time data.
Module 9: Cloud-Native Event Streaming Architectures
- Event streaming on AWS, Azure, and GCP.
- Hybrid and multi-cloud deployment strategies.
- Serverless microservices for event processing.
- Event mesh and global-scale event distribution.
Module 10: Project and Future Trends
- Designing an end-to-end event streaming system.
- Implementing microservices integrated with Kafka.
- Exploring emerging technologies: AI + event streaming.
- Final project presentation and evaluation.
Training Approach
This course will be delivered by our skilled trainers who have vast knowledge and experience as expert professionals in the fields. The course is taught in English and through a mix of theory, practical activities, group discussion and case studies. Course manuals and additional training materials will be provided to the participants upon completion of the training.
Tailor-Made Course
This course can also be tailor-made to meet organization requirement. For further inquiries, please contact us on: Email: training@upskilldevelopment.com Tel: +254 721 331 808
Training Venue
The training will be held at our Upskill Training Centre. We also offer training for a group at requested location all over the world. The course fee covers the course tuition, training materials, two break refreshments, and buffet lunch.
Visa application, travel expenses, airport transfers, dinners, accommodation, insurance, and other personal expenses are catered by the participant
Certification
Participants will be issued with Upskill certificate upon completion of this course.
Airport Pickup and Accommodation
Airport pickup and accommodation is arranged upon request. For booking contact our Training Coordinator through Email: training@upskilldevelopment.com, +254 721 331 808
Terms of Payment
Unless otherwise agreed between the two parties payment of the course fee should be done 3 working days before commencement of the training so as to enable us to prepare better
