Memo: Learn Digital Transformation

following the innovation the latest wave is “Cloud Technology”

Burning platform — is a term when a company abandon old technology for new technology -> meet the Digital transformation

The Evolution of Computing Power

Computing Power — is just a throughput measured at which computer can complete a task.

1. General Computing — is a CPU procesor for general workload.

GCP provide service: GCloud Compute Engine (GCE)

2. Tensor computing — is a tensor processor that provide 50x faster than CPU. This is optimize for neural network, so usage for ML, Deep learning.

GCP provide service: Cloud TPU

3. Quantum computing — is a quantam concept that make 100 mil time faster

GCP provide service: Google Guantum AI

Digital Transformation

Digital transformation is the adoption of digital technology to transform service or business:

• replacing non-digital or manual process with digital process.
• replacing older technology with newer digital technogoly (adopting cloud tech)

following Gcloud’s Digital Transformation

Gcloud’s Digital Transformation

with 7 solutions pillars

1. Infrastructure modernization — is replacing legacy hardware and software system with cloud solution. Allow organize to adopt hybrid architecture for business use-cases. => Can use Anthos service to manage the compute of both On-premise and Cloud,
2. Business app platform portfolio — Organize just focus on configuration and interconnect of various system to build their own system with robust and well document for cloud services. => Can use Cloud SDK, Cloud API, Cloud CLI and Gcloud docs.
3. App modernization — is building web-app on top of cloude services to allow organize to globally and rapidly deliver. With Cloud will provide automate pipeline deployment and separate of the site of environments (develop, staging and production) and have more durable to remain available even regional failure. => Can use App Engine (with easy way to build and deploy the web-app with only upload code).
4. DB and Storage solution — losing data is not something can recover, so cloud service provider (CSP) have guarantee SLAs of data durability, easy ability to migrate and secure data. => Can use Cloud Storage (to store file and docs as objects with availability 99.5% SLA).
5. Smart Analytics — when store data on cloud, so it can tap to BigData and BI cloud offering assisted by Ai to help to analyze the data. Can use Looker
6. Ai — family of Ai (Ai, Deep Leaning, ML) with cloud will simplifying Ai knowledge while driving costs lower of adoption.=> Can use Vertext AI and TensorFlow
7. Security — cloud service have strong mechanism build in for Security, Governance and Compliant by default. => Can use IAM, Beyondcrop (Zero trust model) and Security Command Center.