Increasing market competition and growing customer expectations promote the development of corporate business. At the same time, adopting DevOps can be a challenge for some companies because it involves adjusting practices and updating infrastructure. Although engineering resources may be scarce, serverless provides a solution to DevOps challenges. From improved IoT devices to cost-effective machine learning applications, the serverless ecosystem is promoting the adoption of DevOps by enterprises.
Why is serverless good for DevOps?
DevOps speeds up enterprise development while reducing downtime, thereby providing enterprises with a competitive advantage, accelerating product maturity in terms of features and functions, and improving customer experience. Despite the attractive advantages of DevOps, adopting DevOps is costly and time-consuming. Serverless can overcome obstacles with lower costs and higher returns, and supports the implementation of DevOps solutions.
Serverless technology provides a pay-as-you-go model that allows companies to pay for the resources they use. For example, with AWS Lambda, companies can pay based on the number and duration of calls, which may reduce costs. Function as a service (FaaS) may be more expensive than containers, depending on the traffic experience. The higher the traffic, the stronger the consistency, the higher the cost of serverless tools, and these costs may rise higher than the cost of containers.
Because serverless technology is automatically scalable and fully manageable, it allows the team to focus on the business logic actually built by the DevOps infrastructure without having to spend a lot of time maintaining the DevOps architecture.
Availability and performance monitoring
Functions as a service (FaaS) such as AWS Lambda or Azure Functions are relatively easy to start, can be automatically scaled and cost-effective. These can make API calls to enterprise services, and API calls can be made by users through front-end interfaces. These regular checks ensure that its services are continuously available, and monitoring tools can capture any failures that occur in the production environment to notify any performance degradation. Users can integrate alerts from monitoring tools through incident management software as a service (SaaS) tools.
Functions as a service (FaaS) can be used for automatic availability and performance checks. However, the serverless event bus communicates alarms as a function-as-a-service (FaaS) function call throughout the DevOps infrastructure, thereby reducing the overall cost of the on-demand payment model and automatic scalability of the function-as-a-service (FaaS) function .
ChatOps improves DevOps process
ChatOps, developed on GitHub, is a conversation-driven development program that allows users to enter commands in chat tools and initiate continuous integration (CI)/continuous deployment (CD) processes through custom scripts and plug-ins. The operation of the script requires back-end support, which is where serverless technology can provide support.
The function as a service (FaaS) function enables DevOps engineers to simply write a script to perform the desired operation and upload it to the function while ensuring that the chat tool can call it. This eliminates cumbersome container orchestration and network settings. In addition, the cost is only incurred when the function as a service (FaaS) function is called through the chatbot, not by the hour.
Serverless enhances the continuous integration (CI)/continuous deployment (CD) process to achieve continuous deployment
Similar to ChatOps, serverless can be used to enhance the continuous integration (CI)/continuous deployment (CD) process, but unlike ChatOps, serverless can automate the entire process in a production environment by merging pull requests. This is called GitOps.
GitOps, conceived by Weaveworks, is a method of Kubernetes cluster management and application delivery. By leveraging the aggregation features of Kubernetes, Git push triggers continuous delivery. GitOps allows Kubernetes cluster management and application delivery, using Git as the only source of truth for declarative infrastructure and applications. Since Git is the center of the delivery pipeline, developers can accelerate pull requests and simplify Kubernetes application deployment and operation tasks.
GitOps provides a “source of truth” for infrastructure and application code to further increase the speed of development teams. The workflow that makes this possible starts with the continuous integration (CI) tool and pushes the Docker image to the hosting tool. Then the cloud computing function copies the configuration diagram and Helm diagram from the main bucket to the main Git repo. Finally, GitOps operators extract the Helm chart through the Lambda function.
By copying the Helm diagram, the function as a service (FaaS) function can be used for the main Git repo. Functions as a service (FaaS) are easy to set up and cost-effective, which means that DevOps engineers can focus on other parts of the GitOps infrastructure and reduce costs in the process.
The road to DevOps is full of challenges, but serverless can help
Serverless can reduce the complexity of DevOps adoption through pay-as-you-need, auto-scaling, and fully managed services, thereby making DevOps infrastructure more efficient and cost-effective. From development and testing to continuous integration (CI)/continuous deployment (CD) and event management, serverless technology can be used across the entire DevOps stack, runs at the best cost, and is very effective in terms of development speed and code reliability.