Web application backends are regarded as the most frequent kind of serverless use case for potential customers. Choosing the pay-for-value model is considered a budget-friendly choice to create web apps through the use of serverless tools. Though the serverless cost is correlated with the usage level, certain architectural decisions can affect the cost efficiency.
The effect of such choices is quite significant, given the increase in traffic flow. Optimizing the application helps maximize the value. Choosing the proper performance cost optimization strategies assures effective use of the resource and increases the value per business transaction.
Why choose serverless architecture?
Choosing serverless architecture helps you save valuable time. Once you opt for the serverless architecture application, you will be offloading a bunch of redundant cloud management activities to the cloud service provider so that you can focus on the crucial part of the innovation and development of the business.
The event-driven nature of the serverless solutions indicates that if the applications are not architected properly, you will have enhanced expenses at the end of the month. If the serverless apps keep running every time, the application will not be cost-efficient in the serverless environment.
Choosing optimization services is worth mentioning in this aspect as it helps to eradicate the burdening cloud expenditure and serverless cost comparison. In this article, we are going to tell you about the cost optimization strategies for serverless applications:
Opt for cost models that match usage patterns.
Amazon offers various cost models for serverless applications, such as provisioned throughput, pay as you go, and provisioned IOPS. Such models are meant to decrease costs and optimize spending. The primary step involves gaining an understanding of the usage pattern. For instance, those who are using DynamoDB tables should select the provision model as it involves a reduced cutoff from the pocket.
People with spiky workloads where they witness peak loads at certain times of the day should go for the pay-per-request model. Those who have steady workloads all the time should choose EC2 instances, as serverless solutions are extremely pricey.
Using computing, catering to the needs
You should refrain from using computing resources if you do not need them. Instead, you should reap the benefits of different Amazon solutions, which will function without the compute. Step functions are instances that enable calling Amazon APIs without the Lambda function. Hence, you should pay for the specific step functions only.
Amazon S3 happens to be another instance worth mentioning, which happens to be a storage service. It helps in serving web data. You can use it for different static sites. The solution is to gain an understanding of the different cost implications of the choices and select the proper service.
Monitor the related cost KPIs.
You should opt for related usage-based KPIs, which enable the monitoring of different costs over the course of time. You will witness how the costs are allocated to the business. Ideally, the cloud costs would increase marginally with the increase in costs. As the prices increase with the increase in customers, there are certain problems you should address. As you choose a cloud-based platform, you will be capable of aligning the costs directly with the product features, team, and customers. Thus, these cloud-based platforms monitor the KPIs, which are related to the business.
Monitoring the costs proactively
A drawback of using serverless solutions is that they scale infinitely. With the huge traffic surge, you will see an enhanced cloud bill. As you choose the serverless platform, you do not need to manage the underlying infrastructure and servers. Hence, you have to track the costs for the serverless application development to reduce them. Proactive cost monitoring is necessary in this aspect as it offers notification to the related engineering team of an unusual spike in costs. Hence, it is important to investigate immediately and take the necessary actions.
Choosing the cloud optimization team is useful to the engineering team in recognizing the code changes and specific releases that lead to cost anomalies. Hence, they will be capable of addressing such problems faster. A wide assortment of business organizations considers migrating to the cloud environment from on-premises without the need to modify them. It can prove to be a budget-friendly and faster option. However, it might result in on-premises inefficiencies in the cloud, thereby resulting in runaway costs.
You will be capable of saving an ample amount of funds and time as you choose from either of the above cost optimization strategies for serverless applications. Thus, you will be able to utilize those resources, time, and money in other aspects of the business. You can make your business grow and increase its revenue by utilizing the cost optimization strategies mentioned above.