I think cloud deserves a tag of “The Technology for Decades” indeed the way it’s adding more and more sub-technologies under an umbrella. SaaS, PaaS, IaaS are quite familiar amongst cloud service provider companies. While DaaS (Database as a Service), FaaS (Function as a Service), RaaS (Robot as a Service) and EaaS (Everything as a Service) are emerging on the horizon of cloud, so only tech giants can afford to invest in innovation and execution.
FaaS is one of the fastest growing cloud technologies that is also known as Serverless Computing. Usually, people get confused with the term “Serverless”. They assume the cloud technology runs without a server. Well, that’s not true! Explore basic information on the essential aspects of serverless computing by reading Serverless Computing: An Emerging Trend of Cloud. It will give you a brief idea on what does it mean, the best serverless servers in the world, as well as the pros and cons of the technology.
Now, let’s talk about the serverless computing frameworks that offer a wide platform for experimental project and enable developers to explore new aspects of serverless computing without any commercial constraints.
#1. AWS Lambda
AWS Lambda, the most stable and mature framework amongst all serverless computing service providers. It supports Python, NodeJS, and Java. Several AWS services are integrated with Lambda. Moreover, IoT and mobile developers also prefer to use Lambda due to the flexibility and power it brings to cloud product.
Due to its integration with Alexa Skills Kit, it’s a prime choice to develop voice-activated applications for Amazon Echo. Amazon also enables developers with command line tools and an interactive console to upload and manage the snippets.
#2. Apache OpenWhisk
Integration of OpenWhisk with external API services is also possible. You can find such integration available in Slack or GitHub. The framework can also be used for a service that offers API endpoints or webhooks. Initially, the OpenWhisk was working for the only Apache project. Now, the framework works with another serverless computing service provider IBM Bluemix as well.
#3. IBM OpenWhisk
It’s one of the best alternatives of AWS Lambda and allows to run snippets written in NodeJS and Swift. IBM OpenWhisk will support many more programming languages in near future. Developers can install the framework on their Ubuntu machine. Windows and Mac OS X developers have to install a Vagrant box to get the framework up and running. OpenWhisk can be integrated with IBM Bluemix and any third party service that supports Webhooks.
Iron.io has represented itself as a Serverless computing framework. Initially, it was a managed platform hosted in the public cloud. It was developed to encourage developers to create their code and run it on Iron.io.
Now, this framework is offering a cohesive micro-services platform by integrating its existing services and embracing Docker. Developers write the functions in Go language. They are free to develop and deploy the functions within IronFunctions. To avoid lock-in with Amazon, Iron.io holds cross integration with AWS Lambda. Moreover, functions that are already hosted in Lambda can be run in or imported to IronFunctions.
A serverless computing framework that permits developers to build functions using Kubernetes. It allows coders to write short-lived functions in any programming language and map them with any event triggers such as HTTP requests. Just apply one command and developers can deploy the functions immediately.
Fission doesn’t require any Docker registries to manage and containers to build. It’s an open source technology based on Apache License. It runs in your public cloud, private cloud or laptop. The open source framework supports various programming languages such as PHP, NodeJS, C#, Python, Go. Kubernetes frees developers from the heavy lifting of setting up the underlying strata. Serverless computing reduces the burden of developers related to the strata and Kubernetes enables operations not to get into those details.
The framework is mainly designed for research. It allows developers to explore new approaches of serverless computing. Right now, OpenLambda contains basic functions. Developers are using this technology in production due to the intrinsic insecurity of design. As the framework has a few functionalities, it caters limited space to experiment different methodologies. Additionally, there are chances of hacking as it’s not a full-fledged product developed.
Being a cloud enthusiast, I love to stay updated with latest cloud tools, technologies, and trends. I am always eager to learn about the more mature processes to deliver authenticated cloud services and solutions that help developers in the smart management of server resources. Moreover, Serverless computing supports the “pay as you go” concept, so organizations need to pay only for the resources they used. Thus, adoption of serverless computing is highly cost effective.
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