What is Serverless Computing?

Tanner Lytle
Tanner Lytle
August 10, 2020

In understanding the definition of serverless computing, it’s important to note that servers are still running the code. The serverless name comes from the fact that the tasks associated with infrastructure provisioning and management are invisible to the developer. This approach enables developers to increase their focus on the business logic and deliver more value to the core of the business. Serverless computing helps teams increase their productivity and bring products to market faster, and it allows organizations to better optimize resources and stay focused on innovation.

  • No infrastructure management
    Using fully managed services enables developers to avoid administrative tasks and focus on core business logic. With a serverless platform, you simply deploy your code, and it runs with high availability.
  • Dynamic scalability
    With serverless computing, the infrastructure dynamically scales up and down within seconds to match the demands of any workload.
  • Dynamic scalability
    With serverless computing, the infrastructure dynamically scales up and down within seconds to match the demands of any workload.
  • Faster time to market
    Serverless applications reduce the operations dependencies on each development cycle, increasing development teams’ agility to deliver more functionality in less time.
  • More efficient use of resources
    Shifting to serverless technologies helps organizations reduce TCO and reallocate resources to accelerate the pace of innovation.

Serverless application patterns

Developers build serverless applications using a variety of application patterns—many of which align with approaches that are already familiar—to meet specific requirements and business needs.

  • Serverless functions
    Serverless functions accelerate development by using an event-driven model, with triggers that automatically execute code to respond to events and bindings to seamlessly integrate additional services. A pay-per-execution model with sub-second billing charges only for the time and resources it takes to execute the code.
  • Serverless Kubernetes
    Developers bring their own containers to fully managed, Kubernetes-orchestrated clusters that can automatically scale up and down with sudden changes in traffic on spiky workloads.
  • Serverless workflows
    Serverless workflows take a low-code/no-code approach to simplify orchestration of combined tasks. Developers can integrate different services (either cloud or on-premises) without coding those interactions, having to maintain glue code, or learning new APIs or specifications.
  • Serverless application environments
    With a serverless application environment, both the back end and front end are hosted on fully managed services that handle scaling, security, and compliance requirements.
  • Serverless API gateway
    A serverless API gateway is a centralized, fully managed entry point for serverless backend services. It enables developers to publish, manage, secure, and analyze APIs at global scale.

Why an end-to-end serverless platform is important

A serverless approach offers developers, teams, and organizations a level of abstraction that enables them to minimize the time and resources invested in infrastructure management. Every component of an application benefits from this approach, from computing and the database engine to messaging, analytics, and AI. Using an end-to-end serverless platform that provides a comprehensive set of serverless technologies is the best way to ensure that the organization gains the maximum benefit from going serverless.

Tanner Lytle
Leading the Sales Department of Honorbound IT, Tanner is the main point of contact for a new and existing customers. When not working with others, he is busy updating the website and creating articles and videos!