Best Practices for Data Platforms with Finanz Informatik and Hazelcast
Do you believe that providing fast, reliable services is crucial for user satisfaction? Does your organization struggle to build services that perform well even when components fail? Do you want these services to quickly access necessary data using scalable, fault-tolerant technologies? If so, this session is for you.
Like many companies, FI faces the challenge of delivering robust, reliable services to users while ensuring high performance and availability in Germany’s regulated financial services market. Hazelcast’s unique architecture on FI’s platform now offers fast, reliable data access to user-facing apps after evolving through various iterations. Join us to explore Hazelcast’s architecture iterations on FI’s platform, learn about the pros and cons of each, and understand the journey to their current architecture. We’ll share how our experiences influenced architecture decisions and provide best practices for adaptable data platforms. Learn from our lessons to enhance your own practices and avoid pitfalls.
Key questions addressed in this session:
- Who is Finanz Informatik and what services do they provide?
- How does FI tackle challenges in the financial services sector?
- What architectural choices did FI make for their Hazelcast setup, how has their architecture evolved, and why?
- What are the best practices FI learned for building flexible data platforms?
- How does Hazelcast’s real-time data platform help address market needs?