< Back to AWS - Insight

When It’s Best to Go Serverless

Serverless Computing

A day in the life of a developer used to consist of dividing their time between writing code and maintaining the server infrastructure. Enter the concept of serverless computing by Google when they released Google App Engine in 2008, and life for developers started to change by relying on a third party to take care of the servers. With the serverless market expected to reach $7.7 billion by the end of 2021, it has become much more mainstream.

As you build your cloud strategies, it’s important to understand the concept and know when your organization should go serverless.

Does serverless computing eliminate the need for servers?

While the term implies no servers are needed, that’s not the case. The concept of serverless computing means that you can build and run applications and services without your developers spending their time provisioning and maintaining the infrastructure needed for deployments. Instead, a cloud service provider (CSP) handles these types of infrastructure-related activities such as AWS or Microsoft Azure.

Which scenario(s) does serverless work best?

Short-Running and Event-Driven Apps: A serverless computing architecture is ideal for short-running and event-driven applications because they have more predictable surges in demand. Since these types of applications can sit idle for periods, a serverless computing architecture model allows you to use the resources you need only when you need them instead of physically taking on your own servers to handle peak capacities.

Serverless computing works best in these scenarios:

  • Microservices-based architecture
  • Mobile backends
  • Chatbots
  • Machine learning (ML) inferencing
  • Internet of Things (IoT)
  • Modest streaming processing
  • Service integration

Why does serverless computing shine?

Improved Cost Control: Serverless computing is a cost-effective option. Based on actual usage, you’re only paying for the compute time you consume. This also means you can scale on-demand without paying for servers that may not be used at certain times.

Dynamic Agility & Scalability: Serverless computing brings a great deal of agility and scalability to the table. You can rapidly scale without having to re-architect your infrastructure, and it’s easy to do. It takes just milliseconds to provision. No matter if the application is handling 1,000 requests or 1, there is no difference in performance and reliability.

Focus on Innovation: Anytime you can free up your team to work on more strategic tasks, it’s a huge win for the business. Developers can focus more on the business aspect of the code versus spending time on infrastructure-related items. This can translate to more time spend on the front-end of the application and translate to better customer experiences.

Faster Time to Market: With fewer operational dependencies, the development cycle can naturally speed up and allow the team to deliver more functionality faster.

Serverless computing is an option for any size organization in any industry. It provides an opportunity to focus more on business-driven processes rather than spending time on the technical efforts associated with maintaining servers.

To learn more about how you can modernize your organization, contact us today.