Serverless is the ultimate place to experiment. Due to the fact that AWS has the best performing Functions as a Service product, Lambda, as well as the most diverse suite of managed services to use with your functions.
As developers, we are used to being able to play around with dev stuff on our machines. Try a few things. Experiment with new libraries and code. But when it comes to Serverless and things being deployed into the cloud, don't we need to be more careful?
Nope! With just a few minor practices and a little knowledge, Serverless becomes an awesome playground so instead of having to constantly read what others have done, we can instead just try something ourselves. And if we hit a road block, or it doesn't go as intended, we can just start from scratch!
Due to the fact that AWS has the best performing Functions as a Service product, Lambda, as well as the most diverse suite of managed services to use with your functions, it has become the defacto platform for building Serverless applications. This has another advantage, however.
AWS provides a lot of permanent free tiers for many of the services that you would use when building a Serverless application. This means that you get a pretty generous amount of resources per month that last beyond the usual 1 year limit. These include:
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.