Remove Azure Remove Google Remove Serverless Remove Storage
article thumbnail

Seamless AI-powered observability for multicloud serverless applications

Dynatrace

Cloud vendors such as Amazon Web Services (AWS), Microsoft, and Google provide a wide spectrum of serverless services for compute and event-driven workloads, databases, storage, messaging, and other purposes. AI-powered automation and deep, broad observability for serverless architectures. Dynatrace news.

article thumbnail

What is Google Cloud Functions?

Dynatrace

In recent years, function-as-a-service (FaaS) platforms such as Google Cloud Functions (GCF) have gained popularity as an easy way to run code in a highly available, fault-tolerant serverless environment. What is Google Cloud Functions? GCF is part of the Google Cloud Platform. How Google Cloud Functions works.

Google 221
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 function as a service? App development gets FaaS and furious

Dynatrace

FaaS enables developers to create and run a single function in the cloud using a serverless compute model. Cloud providers such as Google, Amazon Web Services, and Microsoft also followed suit with frameworks such as Google Cloud Functions , AWS Lambda , and Microsoft Azure Functions. How does function as a service work?

article thumbnail

What is container as a service? How CaaS compares to PaaS, IaaS, and FaaS

Dynatrace

Managed orchestration uses solutions such as Kubernetes or Azure Service Fabric to provide greater container control and customization. Serverless container services. IaaS provides direct access to compute resources such as servers, storage, and networks. Managed orchestration. CaaS vs. FaaS.

article thumbnail

How to overcome the cloud observability wall

Dynatrace

You may be using serverless functions like AWS Lambda , Azure Functions , or Google Cloud Functions, or a container management service, such as Kubernetes. As the entire application shares the same computing environment, it collects all logs in the same location, and developers can gain insight from a single storage area.

Cloud 226
article thumbnail

Implementing AWS well-architected pillars with automated workflows

Dynatrace

And how can you verify this performance consistently across a multicloud environment that also uses Microsoft Azure and Google Cloud Platform frameworks? For example, optimizing resource utilization for greater scale and lower cost and driving insights to increase adoption of cloud-native serverless services.

AWS 246
article thumbnail

O’Reilly serverless survey 2019: Concerns, what works, and what to expect

O'Reilly

For the inaugural O’Reilly survey on serverless architecture adoption, we were pleasantly surprised at the high level of response: more than 1,500 respondents from a wide range of locations, companies, and industries participated. The high response rate tells us that serverless is garnering significant mindshare in the community.