Are you using a serverless architecture?
As it was seen in 2018, more and more businesses are coming to serverless computing, especially to Kubernetes. Many of them have even started reaping the benefits of their efforts. Still, the serverless era has just started. In 2019, the following trends are going to change how the organizations create and deploy software.
Adoption in the Enterprise Software
In 2018, serverless computing and FaaS (function as a service) began to become popular among organizations. By the end of 2019, these technologies will go onto the next level and are poised to get adopted on a wider scale, especially for the enterprise application sector. As container-based applications—using the cloud-native architecture—are spreading with a rapid pace, it has served as a catalyst for the burgeoning adoption of serverless computing.
Today, software delivery and deployment has evolved to a great extent. The robustness and range of containers increased the cloud-native applications to unprecedented heights for legacy applications and Greenfield. As a result, business scenarios in which earlier there was not much progress for cloud-native modernization—like data in transit, edge devices, and stateful applications—can be converted into cloud-native. While container-based and cloud-native systems are beginning to experience a rise, software developers are using serverless functions for performing a wide range of tasks across various types of applications. Teams will now deliver microservices transition on a large scale—some may use FaaS to decrease the application’s complexity.
Workflows and similar high-end functionalities in FaaS are expected to provide convenience in creating complicated serverless systems via a composable and modular approach.
Kubernetes as the Defacto Standard
There are fewer better infrastructures than Kubernetes for working with serverless computing. By 2018, Kubernetes was widely used with container orchestration with different cloud providers. As a result, it is the leading cloud-native systems’ enabler and is on its way to becoming the defacto operating system. Ubiquity assists Kubernetes to be transformed into the default standard which can be used for powering serverless systems.
Kubernetes helps to easily create and run those applications in serverless architecture which can utilize cluster management, scaling, scheduler, networking, service discovery, and other powerful built-in features of Kubernetes. Serverless runtime needs these features with interoperability and portability for any type of environment.
Due to Kubernetes position as the standard for the serverless infrastructure, organizations can make use of their own multi-cloud environments and data centers for running serverless applications, rather than being restricted with a single cloud service and face excessive cloud expenses. When organizations will take advantage from cost savings, speed, and enhanced serverless functionality with their own data centers while at the same t time in different environments, they can port serverless applications, then the end result is impactful—the serverless adoption in the enterprise gets a massive boost. It not only becomes a strong architecture for the acceleration of new applications’ development, but it is also a worthy pattern which can help to modernize legacy applications and brownfield.
In cloud-native architecture, the increased refinement of Kubernetes deployments means that you can foresee the Kubernetes-based FaaS frameworks to be integrated with chaos engineering and service meshes concepts. To put it simply, if we consider the next Kubernetes as the next Linux, then serverless can be considered as the modern Java Virtual Machine.
Serverless with the Stateful Applications
Stateless applications with short life spans are used mainly by serverless applications. However, you can now also expect a more rapid serverless adoption having stateful scenarios—which are powered by improvements in advancements in both Kubernetes-based storage systems and serverless systems.
These workloads can consist of validation and test of machine learning applications and models which execute high-end credit checks. Workflows are going to be a major serverless consideration which can make sure that all the use cases only are not only executed properly but can also scale according to requirements.
Serverless Tooling Enters a New Age
Lack of tooling has been an issue for FaaS and serverless computing for a long time. This encompasses the operational and developer team ecosystem support and tooling. In 2019, the major FaaS projects are expected to take a more assembly line tooling view while using the enhanced experience of the developer, and smooth pipelining and live-reload.
In 2019, GitOps will achieve newfound recognition as a FaaS development paradigm. Hence, now all the artifacts can use Git for versioning and roll forwards or rollbacks can resolve the common versioning issues.
Cost Is Going to Raise Eyebrows
As the graph of last years suggests more and more enterprises are going to use serverless architectures to power mission-critical and large-scale applications; thus this also stretches the expenses and costs of serverless computing for public clouds. Consequently, cloud-lock is also expected to become a significant concern.
By the end of 2019, organizations will manage cloud expenses and provide portability and interoperability via standardization on those serverless systems that are open source—similar to Kubernetes. They can also make use of the strategies for utilizing the most efficient cloud provider while avoiding reliance on re-coding while at the same time serverless is being run via private clouds. This can have a major effect and help to enhance resource utilization and improve the current infrastructure. The impact will also touch the investment which was put in on-premise data centers for delivering the identical experience of developers and cloud operations—like how it works in the public cloud.
Before the start of 2020, it can be expected that these 2019 predictions will serve as the foundation of adoption of serverless architecture. All the single applications will be modeled in terms of services, triggers will be used for execution, and they run till the service request is satisfied. As a result, the model can simply how to code software along with ensuring that quick speed is also possible while keeping in mind both the expenses and security of the software.