Cloud computing in 2022 means containers, geopolitical frictions and automation

Hyperscalers will have to deal with new rules in China and more laws on data management around the world.

Image: iStock / metamorworks

In 2022, the world’s largest cloud providers will continue to expand their empires, but will have to deal with new data management rules around the world. Gartner and Forrester shared predictions this week about what the year will look like for hyperscale cloud providers, as well as their customers.

The first five predictions are from Forrester and the last one is from Gartner:

  • Container adoption hits 50% as native cloud takes center stage
  • Every big hyperscaler develops a blueprint for geopolitical frictions and antitrust reform.
  • Each hyperscaler launches more industry-specific services
  • Leading cloud native platforms will help developers achieve easy global scale for workloads
  • Google Cloud Platform Won’t Achieve Its Short-Term Ambition, But It Won’t Matter
  • Robots will take over maintenance, monitoring and security in data centers

Forrester sees that cloud customers are changing the overall strategy to be fully cloud native rather than using the cloud for only part of the portfolio. Analysts describe cloud-native technologies as “transcending all major technology domains, such as big data, AI, and IoT.”

WATCH: Cloud lockdown: why the business doesn’t care

Forrester analyst Lee Sustar said that the increase in container adoption is just one example of this trend.

“One strategy we see is a gradual migration of monolithic application functionality to containers,” he said. “But if the time and effort required to contain those applications is too great, organizations choose to rebuild from scratch or pursue SaaS as part of a broader modernization strategy.”

According to Forrester, the general-purpose cloud battle is over and the new war is industry-specific clouds. Forrester expects all major cloud service providers to offer applications and services for developers that create “significant new capabilities.” Analysts also predict that major SaaS platforms will follow suit and “develop industry options that go beyond the appearance of marketing, to save significant hours of customizations.”

Sustar listed IBM Cloud for financial services and Microsoft Cloud for financial services as two examples of this trend, both of which address compliance and regulatory issues, as well as the services most used by large banks.

Addressing geopolitical frictions and antitrust reform

In 2022, Major cloud service providers will also have to adjust operations to comply with new data privacy laws and other regulations. This includes developing GAIA-X policies for European operations and following the new cloud market rules dictated by China.

Forrester analysts noted that GAIA-X is already forcing US cloud providers to explain how they will protect customer data in Europe and is therefore likely to drive similar changes internationally.

Sustar said multinational corporations will have to pay more attention to what workloads and data in the cloud are running and where, and which government authorities have access to that data through legal procedures or otherwise.

“One indicator of this trend is Google Anthos’ OVH offering in bare metal on a hosted private cloud,” he said. “This allows European users interested in Anthos to adopt it without running the risk of violating the GDPR and other regulations.”

Forrester predicts that the cloud market in China will be affected by the government’s order that state-owned companies switch to state-owned cloud providers.

“While it is a bit early to assess what that impact will be, the Chinese private sector will continue to drive growth among Chinese cloud service providers,” he said.

Greater automation in cloud data centers

Another change in cloud data centers in 2022 will be more robots taking over maintenance, monitoring and security, according to a new report from Gartner.

“The gap between the growing volumes of servers and storage in data centers and the number of workers capable of managing them all is widening,” said Sid Nag, research vice president at Gartner. He said in a press release that companies need automation to keep up with increasing demand for cloud services and a shortage of people to fill open positions.

“Data center operations will only increase in complexity as organizations move more diverse workloads to the cloud, and as the cloud becomes the platform for a combinatorial use of additional technologies such as the edge and 5G, for name a few “.

Gartner sees robots as the perfect choice for tedious, complex and repetitive data center tasks such as capacity planning, correct sizing of container and virtual machine environments, and ensuring efficient use of resources to avoid “cloud waste”.

WATCH: Robodog patrols the data center and checks server temperatures

“Data centers are an ideal sector for pairing robots and AI to provide a more secure, accurate and efficient environment that requires much less human intervention,” Nag said.

These are the best tasks for robots, according to Gartner:

  1. Server upgrades and maintenance, including dismantling and destroying drives and performing bulk upgrades.
  2. Monitoring of temperature, sound and other activities.
  3. Physical security including human temperature controls through heat sensors or license plate recognition for parking facilities.

Gartner also sees an increase in the use of artificial intelligence and machine learning in cloud operations to monitor and manage IT processes in the data center.

See also

Leave a Comment