From Cloud 1.0 to 2.0: How Docker and Data Services Are Redefining the Cloud

Key Insights

Virtualization is the core of cloud technology; it upgraded to 2.0 in 2014.

In the cloud 2.0 era, business models shift from charging by "volume" to charging by "quality".

The interest of cloud computing is big‑data services.

Data persists forever; transmitting it is easy, retrieving it later is hard.

Market leaders like AWS build closed ecosystems, while others rally around open‑source communities.

Non‑IT facilities in data centers (cooling, power) also need pooling, software‑definition, and service‑orientation.

Introduction

The number seven, a perfect number in the Bible, symbolizes cycles; in technology it mirrors a roughly seven‑year product cycle, after which a technology must either evolve, be replaced, branch, or be retired.

Cloud Computing 1.0 Era

1. Public vs. Private Cloud

During the 1.0 era, the debate over public versus private cloud was a politically correct question for both internet companies and traditional IT giants, leading to a hybrid cloud model becoming the most popular in 2014.

2. Open Source vs. Closed Source

OpenStack captured about 69% market share with support from over 400 enterprises, dominating the open‑source cloud community, while AWS leveraged its first‑mover advantage to build a closed ecosystem.

Ecology applies to both software products and cloud services: leading market players create closed ecosystems, and the rest cluster around open‑source communities.

From DOS to UNIX, Windows to Linux, iOS to Android, the open‑source vs. closed‑source competition persists.

Versioning in IT follows a pattern: 1.0 is experimental and buggy, 2.0 is truly usable, and 3.0 becomes mainstream. The experimental seven‑year period of cloud 1.0 has ended, ushering in the 2.0 era.

Cloud Computing 2.0 Era

The 2.0 era is signaled by Docker, which upgraded virtualization to a lightweight, open‑source container model, dramatically reducing the memory footprint of cloud instances.

1. Business Model Evolution

Charging shifts from a volume‑based model to a quality‑based model, grading services by security, reliability, and capability, and pricing accordingly, putting the user at the center rather than the provider.

Under the old model, a free movie and financial data might be priced similarly, even though the latter holds far greater user value.

This shift can lead to lower service quality and security, discouraging users from migrating high‑value data to the cloud.

2. Greater Challenges

Data has become a core asset, analogous to how hydraulic fracturing turned shale gas into a strategic resource.

In cloud 1.0 the focus was on underlying technology; in 2.0 the focus is on data resources, forming elastic data pools that provide big‑data services.

Privacy must be redefined, as computers now retain information indefinitely, raising legal and ethical concerns.

Transmitting data is easy, retrieving it later is hard.

Data persists forever once uploaded.

Bonus: Cloud Computing and Data Centers

After seven years, cloud computing has become a true technological revolution, leading to the concept "Data Center = Computer".

Future data centers will be open, modular, productized, energy‑efficient, service‑oriented, standardized, and even mobile.

Software‑defined computing and storage are already mainstream; software‑defined networking (SDN) is extending this to network resources.

Non‑IT facilities such as cooling and power also need pooling, software definition, and service‑orientation, but a fully intelligent data‑center operating system is still far off.