Towards Cloud Enabled Data Intensive Digital Transformation
This document discusses digital transformation and enterprise architecture. It outlines the evolution of enterprise systems from monolithic architectures to microservices and cloud native applications. It also covers data intensive applications and big data technologies. The key points are: 1) Digital transformation uses digital technologies to fundamentally impact business, while digitization is simply using technology. 2) Enterprise architecture describes organizational goals, business processes, and how technology enables processes. 3) Enterprise systems evolved from monolithic to service-oriented architectures to microservices running in containers with cloud deployment and continuous delivery. 4) Data intensive applications involve large volumes and varieties of data from multiple sources requiring scalable processing and storage. Emerging technologies include machine learning.
Towards Cloud Enabled Data Intensive Digital Transformation
- 2. ● Introduction – Digital Transformation Vs Digitization – Enterprise Architecture (EA) ● Enterprise System Evolution – PreSOA – (Traditional/ Monolithic) – SOA – Microservices ● Cloud Native Applications – Microservices with Containers ● Data Intensive (Big Data) Applications Agenda
- 8. Reference: Microservices: The resurgence of SOA principles and an alternative to the monolith (PWC) Enterprise System Evolution
- 10. Monolithic application has single code base with multiple modules. Modules are divided as either for business features or technical features. It has single build system which build entire application and/or dependency. It also has single executable or deployable binary Single code base with multiple modules On-premise or VM based cloud deployment
- 12. The Enterprise Enterprise Application Silos Enterprise Application Enterprise Application Enterprise Application Enterprise ApplicationEnterprise Application Enterprise Application
- 13. MiddlewareMiddleware Enterprise Application Enterprise Application Enterprise Application Enterprise Application Enterprise Application Enterprise Application Enterprise Application
- 15. Enterprise Service BusEnterprise Service Bus Cloud Infrastructure 48 Ministries 60 Departments 8 Provincial Councils 271 DS Offices Application Application Services Application Services 32 Provincial Ministries 16 Provincial Departments Application Services Message BrokerBPS Service Registry An Example SOA Smart Pipe
- 17. ● Cloud Native Applications – Microservices – Containers – DevOps ● Data Intensive Applications – Big Data – Data Lakes / Data Warehousing – Machine Learning / Deep Learning Microservices
- 19. ● Cloud Native Applications – Microservices – Containers – DevOps – Continuous Delivery ● The Cloud Native Computing Foundation (CNCF) Source: https://pivotal.io/cloud-native Cloud Native Applications
- 23. MSA (MicroServices Architecture) Reference: Getting Started with Microservices – By Arun Gupta
- 24. Netflix started Microservices implementation with the Cloud Migration
- 29. ● Container Orchestration will help to – Monitor your system – Trigger the startup and shutting down the containers – Balance the load between the active application instances – Handle authentication between instances ● Current available Orchestration Solutions: – Kubernettes, Docker Swarm, Apache Mesos, AWS ECS Container Orchestration
- 33. ● Big Data – Variety (Text, Audio, Video, etc) – Volume (Tera and Peta bytes) – Velocity (Data Frequency, Not under your control) Big Data
- 35. ● What is a Big Data Application? – Data must be in Tera or Peta bytes – More than one source / form – Huge processing loads – Real time stream processing – Process and Persist in scalable and flexible data stores – APIs for query purposes – Provide advanced analytics Big Data Applications / Solutions
- 36. ● What are Big Data Technologies? – Numerous companies. Numerous products – Mainly open source – Cloud focused – Mostly immature (It is a good thing!) Big Data Technologies