Remove Artificial Intelligence Remove AWS Remove Azure Remove Operating System
article thumbnail

What is serverless computing? Driving efficiency without sacrificing observability

Dynatrace

Traditional computing models rely on virtual or physical machines, where each instance includes a complete operating system, CPU cycles, and memory. VMware commercialized the idea of virtual machines, and cloud providers embraced the same concept with services like Amazon EC2, Google Compute, and Azure virtual machines.

article thumbnail

Why log monitoring and log analytics matter in a hyperscale world

Dynatrace

Driving this growth is the increasing adoption of hyperscale cloud providers (AWS, Azure, and GCP) and containerized microservices running on Kubernetes. A log is a detailed, timestamped record of an event generated by an operating system, computing environment, application, server, or network device.

Analytics 202
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

What Is a Workload in Cloud Computing

Scalegrid

Such solutions also incorporate features like disaster recovery and built-in safeguards that ensure data integrity across diverse operating systems. Utilizing cloud platforms is especially useful in areas like machine learning and artificial intelligence research.

Cloud 130
article thumbnail

Devops and the need for cloud based solutions

Testsigma

These may include operating systems and other software on the machine. Testsigma is a popular cloud-based test automation tool equipped with artificial intelligence and natural language processing capabilities. You can also integrate Testsigma with Amazon AWS and Microsoft Azure. Source: Twitter.

DevOps 59
article thumbnail

What is APM?

Dynatrace

Even a conflict with the operating system or the specific device being used to access the app can degrade an application’s performance. With the scale, diverse functionality, and dynamic nature of cloud platforms such as AWS, Azure, and GCP, APM solutions need to just work without configuration or model training.