Best Serverless Platforms for Kubernetes

Jit's DevSecOps Orchestration Platform allows high-velocity Engineering teams to own product security while increasing dev velocity. With a unified and friendly developer experience, we envision a world where every cloud application is born with Minimal Viable Security (MVS) embedded and iteratively improves by adding Continuous Security into CI/CD/CS.

Execute code within a secure, resilient, and automatically scalable framework without the need to create or manage virtual machines. As the demand for function executions rises, the service dynamically provisions extra instances of your function to handle the increased load. All functions operate concurrently, and the runtime environment is distributed across three availability zones to maintain service continuity even if one zone experiences issues. You can set up and ready function instances to handle incoming requests efficiently, which helps to eliminate cold starts and allows for the rapid processing of workloads of any magnitude. Grant your functions access to your Virtual Private Cloud (VPC) to enhance communication with private resources, including database clusters, virtual machines, and Kubernetes nodes. Additionally, Serverless Functions monitors and logs details about function executions, providing insights into operational flow and performance metrics; you also have the option to specify logging methods within your function's code. Furthermore, you can initiate cloud functions in both synchronized mode and with delayed execution capabilities for greater flexibility. This approach allows for streamlined processes that can adapt to varying workloads efficiently.

Spot Ocean empowers users to harness the advantages of Kubernetes while alleviating concerns about infrastructure management, all while offering enhanced cluster visibility and significantly lower expenses. A crucial inquiry is how to effectively utilize containers without incurring the operational burdens tied to overseeing the underlying virtual machines, while simultaneously capitalizing on the financial benefits of Spot Instances and multi-cloud strategies. To address this challenge, Spot Ocean is designed to operate within a "Serverless" framework, effectively managing containers by providing an abstraction layer over virtual machines, which facilitates the deployment of Kubernetes clusters without the need for VM management. Moreover, Ocean leverages various compute purchasing strategies, including Reserved and Spot instance pricing, and seamlessly transitions to On-Demand instances as required, achieving an impressive 80% reduction in infrastructure expenditures. As a Serverless Compute Engine, Spot Ocean streamlines the processes of provisioning, auto-scaling, and managing worker nodes within Kubernetes clusters, allowing developers to focus on building applications rather than managing infrastructure. This innovative approach not only enhances operational efficiency but also enables organizations to optimize their cloud spending while maintaining robust performance and scalability.

Knative, initially developed by Google and supported by contributions from more than 50 companies, provides a vital suite of components for creating and operating serverless applications on Kubernetes. It includes capabilities such as scale-to-zero, autoscaling, in-cluster builds, and a robust eventing framework tailored for cloud-native environments. Knative effectively standardizes best practices gleaned from successful Kubernetes-based frameworks, whether deployed on-premises, in the cloud, or within third-party data centers. This platform empowers developers, allowing them to concentrate on writing code and innovating without getting bogged down by the challenging yet mundane aspects of application development, deployment, and management. Additionally, Knative's design fosters a more efficient development process, making it easier to integrate and utilize modern technologies.

Apache OpenWhisk is a distributed, open-source Serverless platform designed to execute functions (fx) in response to various events, scaling seamlessly according to demand. By utilizing Docker containers, OpenWhisk takes care of the underlying infrastructure and server management, allowing developers to concentrate on creating innovative and efficient applications. The platform features a programming model where developers can implement functional logic (termed Actions) in any of the supported programming languages, which can be scheduled dynamically and executed in reaction to relevant events triggered by external sources (Feeds) or through HTTP requests. Additionally, OpenWhisk comes with a REST API-based Command Line Interface (CLI) and various tools to facilitate service packaging, cataloging, and deployment options for popular container frameworks. As a result of its container-based architecture, Apache OpenWhisk is compatible with numerous deployment strategies, whether locally or in cloud environments, giving developers the flexibility they need. The versatility of OpenWhisk also enables it to integrate with a wide range of services, enhancing its utility in modern application development.