Remove Development Remove Lambda Remove Microservices Remove Virtualization
article thumbnail

AWS Microservices Architecture – Enabling Faster Application Development

RapidValue

Over the past few years, we have witnessed that the use of Microservices as a means of driving agile best practices and accelerating software delivery, has become more and more commonplace. Key Features of Microservices Architecture. Microservices architecture follows the decentralized data management.

article thumbnail

NiFi as a Function in DataFlow Service

Cloudera

For people not familiar with NiFi, NiFi as a Function in DataFlow Service enables the first no-code UI allowing developers to take control of the full lifecycle of functions. In a matter of minutes, you can develop and deploy functions for all cloud providers. However, for certain use cases, we want to go one step further.

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

5 Questions to Ask Before Going Serverless

Modus Create

Keyword searches for serverless | source: Google Trends Serverless architecture allows developers to create products without managing the underlying infrastructure. Are you doing greenfield development or modernizing an existing app? Since it was an isolated feature, we created a separate Lambda function for it on AWS.

article thumbnail

Digital Transformation Business Case Powered by Remote Nearshore Model

iTexico

The second cloud migration is more than just replacing your hardware with virtual hardware. The real transformation is in the adoption of serverless architecture, microservices, workflow automation. The answer is Nearshore+ software development teams that are customized and integrated with your team remotely.

Lambda 52
article thumbnail

9 trends to watch in systems engineering and operations

O'Reilly Media - Ideas

Knative vs. AWS Lambda vs. Microsoft Azure Functions vs. Google Cloud. The advantages of serverless are numerous: it saves money and allows organizations to scale and pivot quickly, and better manage development and testing. This development marks a clear shift from merely doing business in the cloud. Service mesh.

article thumbnail

Going Native: Trying Out AOT For Spring Boot

Apiumhub

Instead, the Java code would be compiled into “byte code”, i.e. instructions that would be interpreted and executed by the Java Virtual Machine (JVM) that would be installed on the host computer. The developers of Spring Boot have released version 3.0 Thankfully, this situation has begun to change.

article thumbnail

Question the Current Dogma — Is Kubernetes Hyper-Scale Necessary for Everyone?

Stackery

It puts more power and control into the hands of developers than ever before, and requires not only a complete shift in your technology stack, but also in the culture of the organization and development process. Then Virtual Machines (VMs) came about and for every server there were 10 VMs, each lasting about six months.