New Generation Application hosting: Microservice Architecture and Application building practices.
Microservices based architecture deployment and best practices are discussed here. Microservices are a paradigm shift from monolithic applications to scalable, resilient, and highly maintainable systems. Leveraging Docker, Kubernetes, and Service Mesh can help in achieving enterprise-grade deployment efficiency.
Microservices Features:
- Fine-Grained Services
- Scale efficiently and prevent server crashes
- Leveraging cloud computing infrastructure
- Docker Containers for deployment
- Kubernetes based container orchestration
- Service Mesh based architecture enhancements
Why Microservices:
- Where do we apply microservices?
- Microservices are not for every application. They are suitable for complex systems requiring scalability, independent deployability, and fault isolation. Avoid misconceptions that microservices and cloud computing are irrelevant to data science. Modern AI-oriented applications often leverage microservices for scalable deployment.
- Traditional data science techniques alone cannot address AI-driven challenges like facial recognition, chatbots, cyber-security analysis, or virtual reality constructs. Advanced machine learning and deep learning techniques are essential. Learning foundational topics is a first step; advanced topics like Reinforcement Learning, GANs, and ResNet architectures are necessary for real-world applications.
Learn real data science and AI applications at Expertzlab Technologies Pvt Ltd, Palrivattom, Kochi.
About Gireesh Babu
25+ years of Experienced Senior Technical Architect with TOGAF Enterprise Architecture Certification, Oracle Java Technical Architecture Certification, ATG Practitioner, MuleSoft Developer, Agile Process Expert, PMP Trained, Web Security Evangelist.