Welcome to The Client-serverless Revolution. As the client-serverless revolution accelerates. This milestone is partly due to the rise of serverless architecture, microservices, and cloud-native services and the way they enable developers. The widespread adoption of rich-client devices.
Today’s users expect the entire internet at their fingertips no matter where they are or what device they’re using. But this capability has been difficult for application developers to deliver until only recently.
During the past several years, smartphones, browsers, and embedded devices have advanced so much that they function as globally distributed, mobile rich clients. They can deliver remote user experiences comparable to what users would experience if they were using a local or high-speed dedicated connection.
This milestone is partly due to the rise of serverless architecture, microservices, and cloud-native services and the way they enable developers to build scalable and dependable web applications anywhere on the planet. Read on to learn more about the origins of client-server architecture and where it’s going in 2021.
As this trend intensifies, a new paradigm of connected internet applications has come to the forefront. This approach is known as client-serverless computing. It delivers consistently dynamic, interactive application experiences from any smartphone or edge device, no matter where a user happens to be, or where the resources they’re accessing are being served from.
Businesses need to understand serverless application with major pros and cons of serverless architecture, before deciding about serverless computing.
Bypass the complex middleware and consider a lightweight node.js implementation to deploy serverless functions from your mainframe CICS applications.
Happy Serverless September 2020! We at Coding Sans love working with serverless technology. This is why we decided to publish a report with the latest serverless trends this year. We partnered up with nine other companies who share our love to make it happen.
In this post, I will go through the process of predicting key performance characteristics and the cost of scale-per-request serverless platforms (like AWS Lambda, IBM Cloud Functions, Azure Functions, and Google Cloud Functions) with different workload intensities (in terms of requests per second) using a performance model.
Serverless computing promises greater scalability, faster development, more efficient deployment, and lower cost.