In this article, I will be focusing on the contribution that a multi-cloud strategy has towards these value drivers, and address a question that I regularly get from clients: Is there a quantifiable benefit to a multi-cloud deployment? That question is typically being asked when I explain the ability to leverage container technology that offers a consistent deployment environment across multiple clouds and form factors (public, private, or hybrid cloud).

Cloud infrastructure refers to the combination of virtual tools and resources which are packed together, giving users a means of connecting remotely to a central network, and supporting the delivery of a cloud-based service or product to the end customer.

Elastic's new frozen data tier decouples compute from storage and leverages low-cost object stores such as Google Cloud Storage, Azure Blob Storage, or Amazon S3 to directly power searches. It provides unlimited scaling of storage while preserving the ability to efficiently query the data without any need to rehydrate it first, making it easier and cheaper to manage data at scale.

In order to avoid the repetitive tasks performed over the desktop, Microsoft has developed an extended service, the Power Automate Desktop. It has been recently announced by Microsoft, which has been made available to Windows 10 users. It is a new low-code Robotic process automation that enables business empowerment to automate those tasks that are repetitive and other manual tasks to focus better on higher-value work and to establish more in their corresponding areas of work.

Making frequent changes to cloud applications running in production is the de-facto standard. To minimize errors, engineers use CI/CD automation, techniques like code reviews, green-blue deployments and others. Git pull requests often serve as a foundational component for triggering code reviews, Slack notifications, and subsequent automation such as testing and deployments. This automated process enforces peer reviews and creates enough visibility to minimize human error.

Microservices are the future of software development. This approach serves as a server-side solution to development where services remain connected but work independently from each other. More developers are using microservices to improve performance, precision, and productivity, and analytical tools provide them with valuable insights about performance and service levels.

Google Cloud Platform is growing quickly, providing solutions for everything from cloud storage to managed Kubernetes to serverless computing. Since Google App Engine launched in 2008, Google’s suite of serverless products has expanded to help enterprises accelerate application development without having to manage or scale their own infrastructure.