Containerization and serverless computing have become quite popular with DevOps lately and for good reason. Both are cloud-based, more efficient than virtual machines (VMs), enable developers to build applications with far more flexibility, and reduce infrastructure costs when leveraged in the right use cases. But ever wondered how do they complement each other? What are the potentials and pitfalls of each architecture?
To help you hit the ground running on these hottest technologies, we’ve done all the legwork and laid it on the line. It’s serverless computing vs containers, right now. So, let’s dive right in.
An execution architecture wherein the app code runs on demand without the need to provision, manage & maintain the infrastructure. This simply means that users can execute code at any time and pay only for the number of resources used for running the app code. And when you compare the cost of traditional servers with this serverless execution model, you’ll realize it means a lot of cost-cutting!
The traditional approach of deploying applications over big servers comes with the added responsibility of provisioning and managing the resources.
This can invite a few server related issues (like – additional charges for keeping up, scaling or downsizing the capability and appropriate security updates) that could impact the overall time to market and delivery cost – both of which are crucial to software development projects. Now, this is where serverless computing comes into play. This architecture helps to reduce time, complexity and finally the cost of running a reliable and scalable server for a modern application. Further, with a chosen cloud platform (AWS, Azure, or Google Cloud) and dynamic resource allocation – a piece of code can be executed.
A lightweight virtualization architecture that contains both the application and related components that ensures its smooth operation, including libraries and settings. They allow deploying of individual applications inside portable, isolated environments. This application could consist of a database, an application server, or a web server where each is running in a different container. It’s like an instant premix for a pancake – all you need to do is the host and run!
What if you could pack your application along with all the dependencies into one box and run it in any environment? Containerization makes it possible – regardless of the dependencies installed in the host system. It also helps ensure that software runs optimally when it is moved from one computing environment to another. This enables the DevOps team to work on individual parts of a large, complex application for speedy development, deployment, and testing.
This read would help you explore the essentials of containerization and how it can make the deployment of applications faster and more effective.
Both containers and serverless computing enhance workloads while enabling businesses to extract optimum value across users. So why not converge them and get the best of both? The future lies in embracing their dual power to outpace competitors!
We can help you harness the potential of a hybrid architecture with a speedy development, automated scaling & significantly lowering runtime costs.
While the two of the technologies are different from each other, they have some aspects in common.
Both allow development teams to;
Now let’s do a feature-by-feature comparison of each deployment option. The table below lists the difference between containers and serverless.
|Availability||Typically runs for a short duration & shuts down as soon as the processing of current data or event is complete.||Designed to run for a prolonged duration.|
|Deployability||Functions are relatively smaller, do not come bundled with system dependencies, and only take milliseconds to deploy. These applications go live as instantly as the code is uploaded.||Containers take relatively longer to set up initially because configuring system settings & libraries takes time. Once configured, they only take only a few seconds to deploy.|
|Scalability||The backend of an application inherently & automatically adapts to meet the desired demands.||Requires planning to scale up by procuring the server capacity to run the containers.|
|Host Environment||Are tied to host platforms – based in the cloud||Runs on certain windows versions & the latest Linux servers.|
|Cost||Eliminates the unnecessary expense incurred on resources as you’re only charged for the server capacity that your application uses.||Containers are constantly running, and cloud providers charge for the server space even if the application is not in use at that time.|
|Maintenance||Much easier to maintain since the serverless vendor takes care of software management & updates.||It is the developer’s job to manage and update each container before deployment.|
Even while the features overlap in certain aspects, none of the above achitectures are interchangeable. Serverless computing works better for certain use cases, while in others, containerization is what you need.
To help you find out which model is best suited for your next cloud-native project, let’s explore some practical use cases for different business needs.
Containers and serverless are not mutually exclusive and so, they can complement each other’s pros and cons! Combining them can bring your business a relative advantage.
At Rishabh Software, whether your app uses a monolithic architecture or you have a complex containerized system, we can help you make the most of the ease and economy of serverless. Do explore our cloud software development services capability to learn how we help enterprises to realize the full potential of collaborated performance, software quality & delivery speed.
We can help you choose the right deployment framework by considering all stages – from preparation to migration and post-transition for data flows and application services.