4 Big Trends of Cloud Computing

Cloud computing has made tremendous progress in the last 15 years, and reshaped how businesses use their digital services to run and manage. Cloud computing provides several advantages over traditional on premise computing. Businesses no longer need to worry about managing their servers, doing upgrades, and dimensioning compute resources. The advances in cloud computing is still continuing. At present, following are the biggest trends in cloud computing.

Analytics and AI 

Analytics and AI are perceived as the biggest trends in cloud computing. Today, several companies are doing Analytics and AI projects, and building prototypes. To go beyond prototype to full scale production, we need good analytics and AI engineering. Many cloud providers are providing a great deal of managed solutions for running analytics and AI. There are several analytics solutions in terms of data warehouses and dashboards are provided. In short, one can say that cloud computing is making analytics and AI more and more accessible.

Following are the notable advances in analytics and AI:

• Analytics dashboards
• Ready to use machine learning models and AI
• Analytics and ML pipelines
• Pay as you go GPUs Services
• In database ML

Multi-Cloud Environment

Intense competition among cloud providers on services and price often leads to companies end up in a multi-cloud environment. There are a lot of benefits for going multi-cloud in terms of cost and performance optimization but it also comes with an overhead of complexity and management of services. Many cloud providers have realized that locking up companies to their services make customers not really happy. Therefore more and more cloud providers are providing tools to customers to run their services in a multi-cloud environment with minimal complexity and manageability. 

Following are the notable advances in multi-cloud environment:

• Multi-cloud is becoming the next norm
• Joint cloud providers provide optimal solution
• Cost and service optimization
• Minimizing reliance on a single cloud provider 

Going Serverless

In the past 10 years, containers, such as docker containers, helped to revolutionize service delivery at scale. In continuation of microservice architecture, serverless computing gained immense adoption the last couple of years. More and more companies are moving towards serverless from microservices. The primary reason for moving towards serverless is scalability, cost effectiveness, concurrency, and manageability.

Following are the notable advances in serverless:

• Pay as you go
• Scalable new serverless architectures
• Improving cold starts and concurrency
• Cost effective
• Easy to bring up new services

Cloud Orchestration

Cloud users use cloud automation to automate processes for provisioning cloud services and management. Tools such as Chef or Ansible etc. make cloud automation a more intuitive process.

But, cloud automation is one side of the picture. The other side is cloud orchestration. Cloud orchestration refers to organizing a set of automated tasks into a single workflow. The cloud orchestration is rather a process, and enables a combined set of tasks which can be automated together. This makes the service management and provisioning simpler and more efficient. 

Following are the notable advances in cloud orchestration:

• Configure and manage a large set of containers and VMs
• Auto upscaling and downscaling
• Allocation of resources for performance increase
• Trace and track of system processes to avoid failures