What other cloud technologies besides containers will be in high demand?

Cloud Technologies in High Demand

According to the web search results, several cloud technologies besides containers are likely to be in high demand:

Edge Computing

Edge computing brings data processing and storage closer to the data sources rather than centralized cloud data centers. This reduces latency and enables technologies like the Internet of Things (IoT) and autonomous vehicles. Gartner predicts that 75% of enterprise-generated data will be created and processed outside centralized cloud data centers by 2025.

Edge computing is poised to absorb the demands of technologies like autonomous vehicles that require low latency and local processing power. It will allow these devices to offload data and computations to nearby edge nodes rather than remote cloud servers.

Serverless Computing

Serverless computing allows developers to run code without having to manage the underlying infrastructure. The cloud provider manages the provisioning, scaling and maintenance of servers.

Serverless models are gaining traction as companies want to build new applications quickly without managing infrastructure. This lowers costs and speeds up innovation for businesses. Forrester predicts 25% of developers will use serverless computing by the end of 2021.

Hybrid and Multicloud

Hybrid cloud blends public cloud and private cloud, allowing companies to store sensitive data on-premises while using public cloud for other workloads. Multicloud uses multiple cloud providers to distribute workloads based on needs.

The flexibility and redundancy of hybrid and multicloud environments are driving their adoption. The global hybrid cloud market is expected to grow to $145 billion by 2026, up over 180% from 2020.

AI and Machine Learning

Cloud computing plays a key role in delivering AI and machine learning services. The massive processing power and data bandwidth of cloud data centers enable companies to train and run machine learning models.

Trends like creative algorithms that can generate synthetic data and improved language models will rely heavily on cloud infrastructure to deliver these services at scale.

In summary, in addition to containers, technologies like edge computing, serverless, hybrid cloud, AI and machine learning will be in high demand due to their potential to transform businesses and drive innovation. The cloud will continue to evolve to support these emerging technologies and use cases.