Remove Database Remove Demo Remove Lambda Remove Virtualization
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

What is Google Cloud Functions?

Dynatrace

In a time when modern microservices are easier to deploy, GCF, like its counterparts AWS Lambda and Microsoft Azure Functions , gives development teams an agility boost for delivering value to their customers quickly with low overhead costs. These functions can connect with supported cloud databases, such as Cloud SQL and Bigtable.

Google 229
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

Open Source at AWS re:Invent

Adrian Cockcroft

OPN304 Learnings from migrating a service from JDK 8 to JDK 11 AWS Lambda improved latency by migrating to JDK 11 with Amazon Corretto. Learn about how Lambda works behind the scenes, and how you can follow these steps to migrate your application to Corretto with Niall Connaughton?—?Software

article thumbnail

Open Source at AWS re:Invent

Adrian Cockcroft

OPN304 Learnings from migrating a service from JDK 8 to JDK 11 AWS Lambda improved latency by migrating to JDK 11 with Amazon Corretto. Learn about how Lambda works behind the scenes, and how you can follow these steps to migrate your application to Corretto with Niall Connaughton?—?Software

article thumbnail

Serverless at re:Invent 2017

The Symphonia

It’s funny to think that AWS Lambda was announced at re:Invent only 3 years ago?—?the the industry and Lambda platform both have moved forward a long way since. This year’s re:Invent saw a lot of incremental improvements for Lambda and its related services. We saw some big new products and features from Lambda’s AWS neighbors.