Containerized Microservices for a Fintech Platform
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by kiranhkr23@gmail.com
- 15
Tech Stack: Docker, Kubernetes, Python, MS SQL
Background: A fintech company needed to migrate to a microservices architecture to improve reliability.
Challenge: Frequent outages and scalability issues hindered growth.
Solution: Microservices were containerized using Docker, managed with Kubernetes, and built with Python. MS SQL ensured secure transaction handling.
Impact:
- Uptime: Achieved 99.98% availability.
- Scaling: Supported 4x user growth without downtime.
- Cost Efficiency: Reduced hosting costs by 30%.
Tech Stack: Docker, Kubernetes, Python, MS SQL Background: A fintech company needed to migrate to a microservices architecture to improve reliability. Challenge: Frequent outages and scalability issues hindered growth. Solution: Microservices were containerized using Docker, managed with Kubernetes, and built with Python. MS SQL ensured secure transaction handling. Impact:
Tech Stack: Docker, Kubernetes, Python, MS SQL Background: A fintech company needed to migrate to a microservices architecture to improve reliability. Challenge: Frequent outages and scalability issues hindered growth. Solution: Microservices were containerized using Docker, managed with Kubernetes, and built with Python. MS SQL ensured secure transaction handling. Impact: